Lean 4 tactic index
The following is a complete index of tactics available in the Lean 4 mathlib
library,
as of September 5, 2023.
Many thanks to Haruhisa Enomoto for generating the list!
These tactics are listed in alphabetical order, not by relevance. We will only use a small subset in class; see the summaries at the end of each chapter of the Hitchhiker's Guide. This is a comprehensive reference.
Some tactics may not be imported by default.
Add the appropriate import line at the top of your file to use:
e.g. import Mathlib.Tactic.Abel
.
#find
Defined in: Mathlib.Tactic.Find.«tactic#find_»
(
Defined in: Lean.Parser.Tactic.paren
(tacs)
executes a list of tactics in sequence, without requiring that
the goal be closed at the end like · tacs
. Like by
itself, the tactics
can be either separated by newlines or ;
.
_
Defined in: Std.Tactic.tactic_
_
in tactic position acts like the done
tactic: it fails and gives the list
of goals if there are any. It is useful as a placeholder after starting a tactic block
such as by _
to make it syntactically correct and show the current goal.
abel
Defined in: Mathlib.Tactic.Abel.abel_term
Unsupported legacy syntax from mathlib3, which allowed passing additional terms to abel
.
abel
Defined in: Mathlib.Tactic.Abel.abel
Tactic for evaluating expressions in abelian groups.
abel!
will use a more aggressive reducibility setting to determine equality of atoms.abel1
fails if the target is not an equality.
For example:
example [AddCommMonoid α] (a b : α) : a + (b + a) = a + a + b := by abel
example [AddCommGroup α] (a : α) : (3 : ℤ) • a = a + (2 : ℤ) • a := by abel
abel!
Defined in: Mathlib.Tactic.Abel.abel!_term
Unsupported legacy syntax from mathlib3, which allowed passing additional terms to abel!
.
abel!
Defined in: Mathlib.Tactic.Abel.tacticAbel!
Tactic for evaluating expressions in abelian groups.
abel!
will use a more aggressive reducibility setting to determine equality of atoms.abel1
fails if the target is not an equality.
For example:
example [AddCommMonoid α] (a b : α) : a + (b + a) = a + a + b := by abel
example [AddCommGroup α] (a : α) : (3 : ℤ) • a = a + (2 : ℤ) • a := by abel
abel1
Defined in: Mathlib.Tactic.Abel.abel1
Tactic for solving equations in the language of
additive, commutative monoids and groups.
This version of abel
fails if the target is not an equality
that is provable by the axioms of commutative monoids/groups.
abel1!
will use a more aggressive reducibility setting to identify atoms.
This can prove goals that abel
cannot, but is more expensive.
abel1!
Defined in: Mathlib.Tactic.Abel.abel1!
Tactic for solving equations in the language of
additive, commutative monoids and groups.
This version of abel
fails if the target is not an equality
that is provable by the axioms of commutative monoids/groups.
abel1!
will use a more aggressive reducibility setting to identify atoms.
This can prove goals that abel
cannot, but is more expensive.
abel_nf
Defined in: Mathlib.Tactic.Abel.abelNF
Simplification tactic for expressions in the language of abelian groups, which rewrites all group expressions into a normal form.
abel_nf!
will use a more aggressive reducibility setting to identify atoms.abel_nf (config := cfg)
allows for additional configuration:red
: the reducibility setting (overridden by!
)recursive
: if true,abel_nf
will also recurse into atoms
abel_nf
works as both a tactic and a conv tactic. In tactic mode,abel_nf at h
can be used to rewrite in a hypothesis.
abel_nf!
Defined in: Mathlib.Tactic.Abel.tacticAbel_nf!__
Simplification tactic for expressions in the language of abelian groups, which rewrites all group expressions into a normal form.
abel_nf!
will use a more aggressive reducibility setting to identify atoms.abel_nf (config := cfg)
allows for additional configuration:red
: the reducibility setting (overridden by!
)recursive
: if true,abel_nf
will also recurse into atoms
abel_nf
works as both a tactic and a conv tactic. In tactic mode,abel_nf at h
can be used to rewrite in a hypothesis.
absurd
Defined in: Std.Tactic.tacticAbsurd_
Given a proof h
of p
, absurd h
changes the goal to ⊢ ¬ p
.
If p
is a negation ¬q
then the goal is changed to ⊢ q
instead.
ac_change
Defined in: Mathlib.Tactic.acChange
ac_change g using n
is convert_to g using n
followed by ac_rfl
. It is useful for
rearranging/reassociating e.g. sums:
example (a b c d e f g N : ℕ) : (a + b) + (c + d) + (e + f) + g ≤ N := by
ac_change a + d + e + f + c + g + b ≤ _
-- ⊢ a + d + e + f + c + g + b ≤ N
ac_rfl
Defined in: Lean.Parser.Tactic.acRfl
ac_rfl
proves equalities up to application of an associative and commutative operator.
instance : IsAssociative (α := Nat) (.+.) := ⟨Nat.add_assoc⟩
instance : IsCommutative (α := Nat) (.+.) := ⟨Nat.add_comm⟩
example (a b c d : Nat) : a + b + c + d = d + (b + c) + a := by ac_rfl
admit
Defined in: Lean.Parser.Tactic.tacticAdmit
admit
is a shorthand for exact sorry
.
aesop
Defined in: Aesop.Frontend.Parser.aesopTactic
aesop <clause>*
tries to solve the current goal by applying a set of rules
registered with the @[aesop]
attribute. See its
README for a tutorial and a
reference.
The variant aesop?
prints the proof it found as a Try this
suggestion.
Clauses can be used to customise the behaviour of an Aesop call. Available clauses are:
(add <phase> <priority> <builder> <rule>)
adds a rule.<phase>
isunsafe
,safe
ornorm
.<priority>
is a percentage for unsafe rules and an integer for safe and norm rules.<rule>
is the name of a declaration or local hypothesis.<builder>
is the rule builder used to turn<rule>
into an Aesop rule. Example:(add unsafe 50% apply Or.inl)
.(erase <rule>)
disables a globally registered Aesop rule. Example:(erase Aesop.BuiltinRules.assumption)
.(rule_sets [<ruleset>,*])
enables or disables named sets of rules for this Aesop call. Example:(rule_sets [-builtin, MyRuleSet])
.(options { <opt> := <value> })
adjusts Aesop's search options. SeeAesop.Options
.(simp_options { <opt> := <value> })
adjusts options for Aesop's built-insimp
rule. SeeAesop.SimpConfig
.
aesop?
Defined in: Aesop.Frontend.Parser.aesopTactic?
aesop <clause>*
tries to solve the current goal by applying a set of rules
registered with the @[aesop]
attribute. See its
README for a tutorial and a
reference.
The variant aesop?
prints the proof it found as a Try this
suggestion.
Clauses can be used to customise the behaviour of an Aesop call. Available clauses are:
(add <phase> <priority> <builder> <rule>)
adds a rule.<phase>
isunsafe
,safe
ornorm
.<priority>
is a percentage for unsafe rules and an integer for safe and norm rules.<rule>
is the name of a declaration or local hypothesis.<builder>
is the rule builder used to turn<rule>
into an Aesop rule. Example:(add unsafe 50% apply Or.inl)
.(erase <rule>)
disables a globally registered Aesop rule. Example:(erase Aesop.BuiltinRules.assumption)
.(rule_sets [<ruleset>,*])
enables or disables named sets of rules for this Aesop call. Example:(rule_sets [-builtin, MyRuleSet])
.(options { <opt> := <value> })
adjusts Aesop's search options. SeeAesop.Options
.(simp_options { <opt> := <value> })
adjusts options for Aesop's built-insimp
rule. SeeAesop.SimpConfig
.
aesop_cases
Defined in: Aesop.tacticAesop_cases_
aesop_cat
Defined in: CategoryTheory.aesop_cat
A thin wrapper for aesop
which adds the CategoryTheory
rule set and
allows aesop
to look through semireducible definitions when calling intros
.
This tactic fails when it is unable to solve the goal, making it suitable for
use in auto-params.
aesop_cat?
Defined in: CategoryTheory.aesop_cat?
We also use aesop_cat?
to pass along a Try this
suggestion when using aesop_cat
aesop_cat_nonterminal
Defined in: CategoryTheory.aesop_cat_nonterminal
A variant of aesop_cat
which does not fail when it is unable to solve the
goal. Use this only for exploration! Nonterminal aesop
is even worse than
nonterminal simp
.
aesop_destruct_products
Defined in: Aesop.BuiltinRules.tacticAesop_destruct_products
aesop_split_hyps
Defined in: Aesop.BuiltinRules.tacticAesop_split_hyps
aesop_subst
Defined in: Aesop.BuiltinRules.«tacticAesop_subst[_,,]»
aesop_subst
Defined in: Aesop.BuiltinRules.tacticAesop_subst_
aesop_unfold
Defined in: Aesop.«tacticAesop_unfold[_,,]»
all_goals
Defined in: Lean.Parser.Tactic.allGoals
all_goals tac
runs tac
on each goal, concatenating the resulting goals, if any.
any_goals
Defined in: Lean.Parser.Tactic.anyGoals
any_goals tac
applies the tactic tac
to every goal, and succeeds if at
least one application succeeds.
apply
Defined in: Lean.Parser.Tactic.apply
apply e
tries to match the current goal against the conclusion of e
's type.
If it succeeds, then the tactic returns as many subgoals as the number of premises that
have not been fixed by type inference or type class resolution.
Non-dependent premises are added before dependent ones.
The apply
tactic uses higher-order pattern matching, type class resolution,
and first-order unification with dependent types.
apply
Defined in: Mathlib.Tactic.applyWith
apply (config := cfg) e
is like apply e
but allows you to provide a configuration
cfg : ApplyConfig
to pass to the underlying apply operation.
apply?
Defined in: Mathlib.Tactic.LibrarySearch.apply?'
apply_assumption
Defined in: Mathlib.Tactic.SolveByElim.applyAssumptionSyntax
apply_assumption
looks for an assumption of the form ... → ∀ _, ... → head
where head
matches the current goal.
You can specify additional rules to apply using apply_assumption [...]
.
By default apply_assumption
will also try rfl
, trivial
, congrFun
, and congrArg
.
If you don't want these, or don't want to use all hypotheses, use apply_assumption only [...]
.
You can use apply_assumption [-h]
to omit a local hypothesis.
You can use apply_assumption using [a₁, ...]
to use all lemmas which have been labelled
with the attributes aᵢ
(these attributes must be created using register_label_attr
).
apply_assumption
will use consequences of local hypotheses obtained via symm
.
If apply_assumption
fails, it will call exfalso
and try again.
Thus if there is an assumption of the form P → ¬ Q
, the new tactic state
will have two goals, P
and Q
.
You can pass a further configuration via the syntax apply_rules (config := {...}) lemmas
.
The options supported are the same as for solve_by_elim
(and include all the options for apply
).
apply_ext_lemma
Defined in: Std.Tactic.Ext.tacticApply_ext_lemma
Apply a single extensionality lemma to the current goal.
apply_fun
Defined in: Mathlib.Tactic.applyFun
Apply a function to an equality or inequality in either a local hypothesis or the goal.
- If we have
h : a = b
, thenapply_fun f at h
will replace this withh : f a = f b
. - If we have
h : a ≤ b
, thenapply_fun f at h
will replace this withh : f a ≤ f b
, and create a subsidiary goalMonotone f
.apply_fun
will automatically attempt to discharge this subsidiary goal usingmono
, or an explicit solution can be provided withapply_fun f at h using P
, whereP : Monotone f
. - If we have
h : a < b
, thenapply_fun f at h
will replace this withh : f a < f b
, and create a subsidiary goalStrictMono f
and behaves as in the previous case. - If we have
h : a ≠ b
, thenapply_fun f at h
will replace this withh : f a ≠ f b
, and create a subsidiary goalInjective f
and behaves as in the previous two cases. - If the goal is
a ≠ b
,apply_fun f
will replace this withf a ≠ f b
. - If the goal is
a = b
,apply_fun f
will replace this withf a = f b
, and create a subsidiary goalinjective f
.apply_fun
will automatically attempt to discharge this subsidiary goal using local hypotheses, or iff
is actually anEquiv
, or an explicit solution can be provided withapply_fun f using P
, whereP : Injective f
. - If the goal is
a ≤ b
(or similarly fora < b
), andf
is actually anOrderIso
,apply_fun f
will replace the goal withf a ≤ f b
. Iff
is anything else (e.g. just a function, or anEquiv
),apply_fun
will fail.
Typical usage is:
open Function
example (X Y Z : Type) (f : X → Y) (g : Y → Z) (H : Injective <| g ∘ f) :
Injective f := by
intros x x' h
apply_fun g at h
exact H h
The function f
is handled similarly to how it would be handled by refine
in that f
can contain
placeholders. Named placeholders (like ?a
or ?_
) will produce new goals.
apply_mod_cast
Defined in: Tactic.NormCast.tacticApply_mod_cast_
Normalize the goal and the given expression, then apply the expression to the goal.
apply_rules
Defined in: Mathlib.Tactic.SolveByElim.applyRulesSyntax
apply_rules [l₁, l₂, ...]
tries to solve the main goal by iteratively
applying the list of lemmas [l₁, l₂, ...]
or by applying a local hypothesis.
If apply
generates new goals, apply_rules
iteratively tries to solve those goals.
You can use apply_rules [-h]
to omit a local hypothesis.
apply_rules
will also use rfl
, trivial
, congrFun
and congrArg
.
These can be disabled, as can local hypotheses, by using apply_rules only [...]
.
You can use apply_rules using [a₁, ...]
to use all lemmas which have been labelled
with the attributes aᵢ
(these attributes must be created using register_label_attr
).
You can pass a further configuration via the syntax apply_rules (config := {...})
.
The options supported are the same as for solve_by_elim
(and include all the options for apply
).
apply_rules
will try calling symm
on hypotheses and exfalso
on the goal as needed.
This can be disabled with apply_rules (config := {symm := false, exfalso := false})
.
You can bound the iteration depth using the syntax apply_rules (config := {maxDepth := n})
.
Unlike solve_by_elim
, apply_rules
does not perform backtracking, and greedily applies
a lemma from the list until it gets stuck.
array_get_dec
Defined in: Array.tacticArray_get_dec
This tactic, added to the decreasing_trivial
toolbox, proves that
sizeOf arr[i] < sizeOf arr
, which is useful for well founded recursions
over a nested inductive like inductive T | mk : Array T → T
.
assumption
Defined in: Lean.Parser.Tactic.assumption
assumption
tries to solve the main goal using a hypothesis of compatible type, or else fails.
Note also the ‹t›
term notation, which is a shorthand for show t by assumption
.
assumption'
Defined in: Mathlib.Tactic.tacticAssumption'
Try calling assumption
on all goals; succeeds if it closes at least one goal.
assumption_mod_cast
Defined in: Tactic.NormCast.tacticAssumption_mod_cast
assumption_mod_cast
runs norm_cast
on the goal. For each local hypothesis h
, it also
normalizes h
and tries to use that to close the goal.
aux_group₁
Defined in: Mathlib.Tactic.Group.aux_group₁
Auxiliary tactic for the group
tactic. Calls the simplifier only.
aux_group₂
Defined in: Mathlib.Tactic.Group.aux_group₂
Auxiliary tactic for the group
tactic. Calls ring_nf
to normalize exponents.
bddDefault
Defined in: tacticBddDefault
Sets are automatically bounded or cobounded in complete lattices. To use the same statements
in complete and conditionally complete lattices but let automation fill automatically the
boundedness proofs in complete lattices, we use the tactic bddDefault
in the statements,
in the form (hA : BddAbove A := by bddDefault)
.
beta_reduce
Defined in: Mathlib.Tactic.betaReduceStx
beta_reduce at loc
completely beta reduces the given location.
This also exists as a conv
-mode tactic.
This means that whenever there is an applied lambda expression such as
(fun x => f x) y
then the argument is substituted into the lambda expression
yielding an expression such as f y
.
bicategory_coherence
Defined in: Mathlib.Tactic.BicategoryCoherence.tacticBicategory_coherence
Coherence tactic for bicategories.
Use pure_coherence
instead, which is a frontend to this one.
bitwise_assoc_tac
Defined in: Nat.tacticBitwise_assoc_tac
Proving associativity of bitwise operations in general essentially boils down to a huge case distinction, so it is shorter to use this tactic instead of proving it in the general case.
by_cases
Defined in: Classical.«tacticBy_cases_:_»
by_cases (h :)? p
splits the main goal into two cases, assuming h : p
in the first branch, and h : ¬ p
in the second branch.
by_cases
Defined in: Mathlib.Tactic.tacticBy_cases_
by_cases p
makes a case distinction on p
,
resulting in two subgoals h : p ⊢
and h : ¬ p ⊢
.
by_contra
Defined in: Std.Tactic.byContra
by_contra h
proves ⊢ p
by contradiction,
introducing a hypothesis h : ¬p
and proving False
.
- If
p
is a negation¬q
,h : q
will be introduced instead of¬¬q
. - If
p
is decidable, it usesDecidable.byContradiction
instead ofClassical.byContradiction
. - If
h
is omitted, the introduced variable_: ¬p
will be anonymous.
by_contra'
Defined in: byContra'
If the target of the main goal is a proposition p
,
by_contra'
reduces the goal to proving False
using the additional hypothesis this : ¬ p
.
by_contra' h
can be used to name the hypothesis h : ¬ p
.
The hypothesis ¬ p
will be negation normalized using push_neg
.
For instance, ¬ a < b
will be changed to b ≤ a
.
by_contra' h : q
will normalize negations in ¬ p
, normalize negations in q
,
and then check that the two normalized forms are equal.
The resulting hypothesis is the pre-normalized form, q
.
If the name h
is not explicitly provided, then this
will be used as name.
This tactic uses classical reasoning.
It is a variant on the tactic by_contra
.
Examples:
example : 1 < 2 := by
by_contra' h
-- h : 2 ≤ 1 ⊢ False
example : 1 < 2 := by
by_contra' h : ¬ 1 < 2
-- h : ¬ 1 < 2 ⊢ False
calc
Defined in: calcTactic
Step-wise reasoning over transitive relations.
calc
a = b := pab
b = c := pbc
...
y = z := pyz
proves a = z
from the given step-wise proofs. =
can be replaced with any
relation implementing the typeclass Trans
. Instead of repeating the right-
hand sides, subsequent left-hand sides can be replaced with _
.
calc
a = b := pab
_ = c := pbc
...
_ = z := pyz
It is also possible to write the first relation as <lhs>\n _ = <rhs> := <proof>
. This is useful for aligning relation symbols:
calc abc
_ = bce := pabce
_ = cef := pbcef
...
_ = xyz := pwxyz
calc
has term mode and tactic mode variants. This is the tactic mode variant,
which supports an additional feature: it works even if the goal is a = z'
for some other z'
; in this case it will not close the goal but will instead
leave a subgoal proving z = z'
.
See Theorem Proving in Lean 4 for more information.
cancel_denoms
Defined in: tacticCancel_denoms_
cancel_denoms
Defined in: cancelDenoms
cancel_denoms
attempts to remove numerals from the denominators of fractions.
It works on propositions that are field-valued inequalities.
variable [LinearOrderedField α] (a b c : α)
example (h : a / 5 + b / 4 < c) : 4*a + 5*b < 20*c := by
cancel_denoms at h
exact h
example (h : a > 0) : a / 5 > 0 := by
cancel_denoms
exact h
case
Defined in: Lean.Parser.Tactic.case
case tag => tac
focuses on the goal with case nametag
and solves it usingtac
, or else fails.case tag x₁ ... xₙ => tac
additionally renames then
most recent hypotheses with inaccessible names to the given names.case tag₁ | tag₂ => tac
is equivalent to(case tag₁ => tac); (case tag₂ => tac)
.
case'
Defined in: Lean.Parser.Tactic.case'
case'
is similar to the case tag => tac
tactic, but does not ensure the goal
has been solved after applying tac
, nor admits the goal if tac
failed.
Recall that case
closes the goal using sorry
when tac
fails, and
the tactic execution is not interrupted.
cases
Defined in: Lean.Parser.Tactic.cases
Assuming x
is a variable in the local context with an inductive type,
cases x
splits the main goal, producing one goal for each constructor of the
inductive type, in which the target is replaced by a general instance of that constructor.
If the type of an element in the local context depends on x
,
that element is reverted and reintroduced afterward,
so that the case split affects that hypothesis as well.
cases
detects unreachable cases and closes them automatically.
For example, given n : Nat
and a goal with a hypothesis h : P n
and target Q n
,
cases n
produces one goal with hypothesis h : P 0
and target Q 0
,
and one goal with hypothesis h : P (Nat.succ a)
and target Q (Nat.succ a)
.
Here the name a
is chosen automatically and is not accessible.
You can use with
to provide the variables names for each constructor.
cases e
, wheree
is an expression instead of a variable, generalizese
in the goal, and then cases on the resulting variable.- Given
as : List α
,cases as with | nil => tac₁ | cons a as' => tac₂
, uses tactictac₁
for thenil
case, andtac₂
for thecons
case, anda
andas'
are used as names for the new variables introduced. cases h : e
, wheree
is a variable or an expression, performs cases one
as above, but also adds a hypothesish : e = ...
to each hypothesis, where...
is the constructor instance for that particular case.
cases'
Defined in: Mathlib.Tactic.cases'
cases_type
Defined in: Mathlib.Tactic.casesType
cases_type I
applies thecases
tactic to a hypothesish : (I ...)
cases_type I_1 ... I_n
applies thecases
tactic to a hypothesish : (I_1 ...)
or ... orh : (I_n ...)
cases_type* I
is shorthand for· repeat cases_type I
cases_type! I
only appliescases
if the number of resulting subgoals is <= 1.
Example: The following tactic destructs all conjunctions and disjunctions in the current goal.
cases_type* Or And
cases_type!
Defined in: Mathlib.Tactic.casesType!
cases_type I
applies thecases
tactic to a hypothesish : (I ...)
cases_type I_1 ... I_n
applies thecases
tactic to a hypothesish : (I_1 ...)
or ... orh : (I_n ...)
cases_type* I
is shorthand for· repeat cases_type I
cases_type! I
only appliescases
if the number of resulting subgoals is <= 1.
Example: The following tactic destructs all conjunctions and disjunctions in the current goal.
cases_type* Or And
casesm
Defined in: Mathlib.Tactic.casesM
casesm p
applies thecases
tactic to a hypothesish : type
iftype
matches the patternp
.casesm p_1, ..., p_n
applies thecases
tactic to a hypothesish : type
iftype
matches one of the given patterns.casesm* p
is a more efficient and compact version of· repeat casesm p
. It is more efficient because the pattern is compiled once.
Example: The following tactic destructs all conjunctions and disjunctions in the current context.
casesm* _ ∨ _, _ ∧ _
change
Defined in: Lean.Parser.Tactic.change
change tgt'
will change the goal fromtgt
totgt'
, assuming these are definitionally equal.change t' at h
will change hypothesish : t
to have typet'
, assuming assumingt
andt'
are definitionally equal.
change
Defined in: Lean.Parser.Tactic.changeWith
change a with b
will change occurrences ofa
tob
in the goal, assuminga
andb
are are definitionally equal.change a with b at h
similarly changesa
tob
in the type of hypothesish
.
change?
Defined in: change?
change? term
unifies term
with the current goal, then suggests explicit change
syntax
that uses the resulting unified term.
If term
is not present, change?
suggests the current goal itself. This is useful after tactics
which transform the goal while maintaining definitional equality, such as dsimp
; those preceding
tactic calls can then be deleted.
example : (fun x : Nat => x) 0 = 1 := by
change? 0 = _ -- `Try this: change 0 = 1`
checkpoint
Defined in: Lean.Parser.Tactic.checkpoint
checkpoint tac
acts the same as tac
, but it caches the input and output of tac
,
and if the file is re-elaborated and the input matches, the tactic is not re-run and
its effects are reapplied to the state. This is useful for improving responsiveness
when working on a long tactic proof, by wrapping expensive tactics with checkpoint
.
See the save
tactic, which may be more convenient to use.
(TODO: do this automatically and transparently so that users don't have to use this combinator explicitly.)
choose
Defined in: Mathlib.Tactic.Choose.choose
-
choose a b h h' using hyp
takes a hypothesishyp
of the form∀ (x : X) (y : Y), ∃ (a : A) (b : B), P x y a b ∧ Q x y a b
for someP Q : X → Y → A → B → Prop
and outputs into context a functiona : X → Y → A
,b : X → Y → B
and two assumptions:h : ∀ (x : X) (y : Y), P x y (a x y) (b x y)
andh' : ∀ (x : X) (y : Y), Q x y (a x y) (b x y)
. It also works with dependent versions. -
choose! a b h h' using hyp
does the same, except that it will remove dependency of the functions on propositional arguments if possible. For example ifY
is a proposition andA
andB
are nonempty in the above example then we will instead geta : X → A
,b : X → B
, and the assumptionsh : ∀ (x : X) (y : Y), P x y (a x) (b x)
andh' : ∀ (x : X) (y : Y), Q x y (a x) (b x)
.
The using hyp
part can be omitted,
which will effectively cause choose
to start with an intro hyp
.
Examples:
example (h : ∀ n m : ℕ, ∃ i j, m = n + i ∨ m + j = n) : True := by
choose i j h using h
guard_hyp i : ℕ → ℕ → ℕ
guard_hyp j : ℕ → ℕ → ℕ
guard_hyp h : ∀ (n m : ℕ), m = n + i n m ∨ m + j n m = n
trivial
example (h : ∀ i : ℕ, i < 7 → ∃ j, i < j ∧ j < i+i) : True := by
choose! f h h' using h
guard_hyp f : ℕ → ℕ
guard_hyp h : ∀ (i : ℕ), i < 7 → i < f i
guard_hyp h' : ∀ (i : ℕ), i < 7 → f i < i + i
trivial
choose!
Defined in: Mathlib.Tactic.Choose.tacticChoose!___Using_
-
choose a b h h' using hyp
takes a hypothesishyp
of the form∀ (x : X) (y : Y), ∃ (a : A) (b : B), P x y a b ∧ Q x y a b
for someP Q : X → Y → A → B → Prop
and outputs into context a functiona : X → Y → A
,b : X → Y → B
and two assumptions:h : ∀ (x : X) (y : Y), P x y (a x y) (b x y)
andh' : ∀ (x : X) (y : Y), Q x y (a x y) (b x y)
. It also works with dependent versions. -
choose! a b h h' using hyp
does the same, except that it will remove dependency of the functions on propositional arguments if possible. For example ifY
is a proposition andA
andB
are nonempty in the above example then we will instead geta : X → A
,b : X → B
, and the assumptionsh : ∀ (x : X) (y : Y), P x y (a x) (b x)
andh' : ∀ (x : X) (y : Y), Q x y (a x) (b x)
.
The using hyp
part can be omitted,
which will effectively cause choose
to start with an intro hyp
.
Examples:
example (h : ∀ n m : ℕ, ∃ i j, m = n + i ∨ m + j = n) : True := by
choose i j h using h
guard_hyp i : ℕ → ℕ → ℕ
guard_hyp j : ℕ → ℕ → ℕ
guard_hyp h : ∀ (n m : ℕ), m = n + i n m ∨ m + j n m = n
trivial
example (h : ∀ i : ℕ, i < 7 → ∃ j, i < j ∧ j < i+i) : True := by
choose! f h h' using h
guard_hyp f : ℕ → ℕ
guard_hyp h : ∀ (i : ℕ), i < 7 → i < f i
guard_hyp h' : ∀ (i : ℕ), i < 7 → f i < i + i
trivial
classical
Defined in: Mathlib.Tactic.tacticClassical_
classical tacs
runs tacs
in a scope where Classical.propDecidable
is a low priority
local instance. It differs from classical!
in that classical!
uses a local variable,
which has high priority:
noncomputable def foo : Bool := by
classical!
have := ∀ p, decide p -- uses the classical instance
exact decide (0 < 1) -- uses the classical instance even though `0 < 1` is decidable
def bar : Bool := by
classical
have := ∀ p, decide p -- uses the classical instance
exact decide (0 < 1) -- uses the decidable instance
Note that (unlike lean 3) classical
is a scoping tactic - it adds the instance only within the
scope of the tactic.
classical!
Defined in: Mathlib.Tactic.classical!
classical!
adds a proof of Classical.propDecidable
as a local variable, which makes it
available for instance search and effectively makes all propositions decidable.
noncomputable def foo : Bool := by
classical!
have := ∀ p, decide p -- uses the classical instance
exact decide (0 < 1) -- uses the classical instance even though `0 < 1` is decidable
Consider using classical
instead if you want to use the decidable instance when available.
clear
Defined in: Lean.Elab.Tactic.clearExcept
Clears all hypotheses it can besides those provided
clear
Defined in: Lean.Parser.Tactic.clear
clear x...
removes the given hypotheses, or fails if there are remaining
references to a hypothesis.
clear!
Defined in: Mathlib.Tactic.clear!
A variant of clear
which clears not only the given hypotheses but also any other hypotheses
depending on them
clear_
Defined in: Mathlib.Tactic.clear_
Clear all hypotheses starting with _
, like _match
and _let_match
.
clear_aux_decl
Defined in: Mathlib.Tactic.clearAuxDecl
This tactic clears all auxiliary declarations from the context.
clear_value
Defined in: Mathlib.Tactic.clearValue
clear_value n₁ n₂ ...
clears the bodies of the local definitions n₁, n₂ ...
, changing them
into regular hypotheses. A hypothesis n : α := t
is changed to n : α
.
The order of n₁ n₂ ...
does not matter, and values will be cleared in reverse order of
where they appear in the context.
coherence
Defined in: Mathlib.Tactic.Coherence.coherence
Use the coherence theorem for monoidal categories to solve equations in a monoidal equation, where the two sides only differ by replacing strings of monoidal structural morphisms (that is, associators, unitors, and identities) with different strings of structural morphisms with the same source and target.
That is, coherence
can handle goals of the form
a ≫ f ≫ b ≫ g ≫ c = a' ≫ f ≫ b' ≫ g ≫ c'
where a = a'
, b = b'
, and c = c'
can be proved using pure_coherence
.
(If you have very large equations on which coherence
is unexpectedly failing,
you may need to increase the typeclass search depth,
using e.g. set_option synthInstance.maxSize 500
.)
compareOfLessAndEq_rfl
Defined in: tacticCompareOfLessAndEq_rfl
This attempts to prove that a given instance of compare
is equal to compareOfLessAndEq
by
introducing the arguments and trying the following approaches in order:
- seeing if
rfl
works - seeing if the
compare
at hand is nonetheless essentiallycompareOfLessAndEq
, but, because of implicit arguments, requires us to unfold the defs and split theif
s in the definition ofcompareOfLessAndEq
- seeing if we can split by cases on the arguments, then see if the defs work themselves out
(useful when
compare
is defined via amatch
statement, as it is forBool
)
compute_degree
Defined in: Mathlib.Tactic.ComputeDegree.computeDegree
compute_degree
is a tactic to solve goals of the form
natDegree f = d
,degree f = d
,natDegree f ≤ d
,degree f ≤ d
,coeff f d = r
, ifd
is the degree off
.
The tactic may leave goals of the form d' = d
d' ≤ d
, or r ≠ 0
, where d'
in ℕ
or
WithBot ℕ
is the tactic's guess of the degree, and r
is the coefficient's guess of the
leading coefficient of f
.
compute_degree
applies norm_num
to the left-hand side of all side goals, trying to clos them.
The variant compute_degree!
first applies compute_degree
.
Then it uses norm_num
on all the whole remaining goals and tries assumption
.
compute_degree!
Defined in: Mathlib.Tactic.ComputeDegree.tacticCompute_degree!
compute_degree
is a tactic to solve goals of the form
natDegree f = d
,degree f = d
,natDegree f ≤ d
,degree f ≤ d
,coeff f d = r
, ifd
is the degree off
.
The tactic may leave goals of the form d' = d
d' ≤ d
, or r ≠ 0
, where d'
in ℕ
or
WithBot ℕ
is the tactic's guess of the degree, and r
is the coefficient's guess of the
leading coefficient of f
.
compute_degree
applies norm_num
to the left-hand side of all side goals, trying to clos them.
The variant compute_degree!
first applies compute_degree
.
Then it uses norm_num
on all the whole remaining goals and tries assumption
.
congr
Defined in: Std.Tactic.congrConfigWith
Apply congruence (recursively) to goals of the form ⊢ f as = f bs
and ⊢ HEq (f as) (f bs)
.
congr n
controls the depth of the recursive applications. This is useful whencongr
is too aggressive in breaking down the goal. For example, given⊢ f (g (x + y)) = f (g (y + x))
,congr
produces the goals⊢ x = y
and⊢ y = x
, whilecongr 2
produces the intended⊢ x + y = y + x
.- If, at any point, a subgoal matches a hypothesis then the subgoal will be closed.
- You can use
congr with p (: n)?
to callext p (: n)?
to all subgoals generated bycongr
. For example, if the goal is⊢ f '' s = g '' s
thencongr with x
generates the goalx : α ⊢ f x = g x
.
congr
Defined in: Std.Tactic.congrConfig
Apply congruence (recursively) to goals of the form ⊢ f as = f bs
and ⊢ HEq (f as) (f bs)
.
The optional parameter is the depth of the recursive applications.
This is useful when congr
is too aggressive in breaking down the goal.
For example, given ⊢ f (g (x + y)) = f (g (y + x))
,
congr
produces the goals ⊢ x = y
and ⊢ y = x
,
while congr 2
produces the intended ⊢ x + y = y + x
.
congr
Defined in: Lean.Parser.Tactic.congr
Apply congruence (recursively) to goals of the form ⊢ f as = f bs
and ⊢ HEq (f as) (f bs)
.
The optional parameter is the depth of the recursive applications.
This is useful when congr
is too aggressive in breaking down the goal.
For example, given ⊢ f (g (x + y)) = f (g (y + x))
,
congr
produces the goals ⊢ x = y
and ⊢ y = x
,
while congr 2
produces the intended ⊢ x + y = y + x
.
congr!
Defined in: Congr!.congr!
Equates pieces of the left-hand side of a goal to corresponding pieces of the right-hand side by
recursively applying congruence lemmas. For example, with ⊢ f as = g bs
we could get
two goals ⊢ f = g
and ⊢ as = bs
.
Syntax:
congr!
congr! n
congr! with x y z
congr! n with x y z
Here, n
is a natural number and x
, y
, z
are rintro
patterns (like h
, rfl
, ⟨x, y⟩
,
_
, -
, (h | h)
, etc.).
The congr!
tactic is similar to congr
but is more insistent in trying to equate left-hand sides
to right-hand sides of goals. Here is a list of things it can try:
-
If
R
in⊢ R x y
is a reflexive relation, it will convert the goal to⊢ x = y
if possible. The list of reflexive relations is maintained using the@[refl]
attribute. As a special case,⊢ p ↔ q
is converted to⊢ p = q
during congruence processing and then returned to⊢ p ↔ q
form at the end. -
If there is a user congruence lemma associated to the goal (for instance, a
@[congr]
-tagged lemma applying to⊢ List.map f xs = List.map g ys
), then it will use that. -
It uses a congruence lemma generator at least as capable as the one used by
congr
andsimp
. If there is a subexpression that can be rewritten bysimp
, thencongr!
should be able to generate an equality for it. -
It can do congruences of pi types using lemmas like
implies_congr
andpi_congr
. -
Before applying congruences, it will run the
intros
tactic automatically. The introduced variables can be given names using awith
clause. This helps when congruence lemmas provide additional assumptions in hypotheses. -
When there is an equality between functions, so long as at least one is obviously a lambda, we apply
funext
orFunction.hfunext
, which allows for congruence of lambda bodies. -
It can try to close goals using a few strategies, including checking definitional equality, trying to apply
Subsingleton.elim
orproof_irrel_heq
, and using theassumption
tactic.
The optional parameter is the depth of the recursive applications.
This is useful when congr!
is too aggressive in breaking down the goal.
For example, given ⊢ f (g (x + y)) = f (g (y + x))
,
congr!
produces the goals ⊢ x = y
and ⊢ y = x
,
while congr! 2
produces the intended ⊢ x + y = y + x
.
The congr!
tactic also takes a configuration option, for example
congr! (config := {transparency := .default}) 2
This overrides the default, which is to apply congruence lemmas at reducible transparency.
The congr!
tactic is aggressive with equating two sides of everything. There is a predefined
configuration that uses a different strategy:
Try
congr! (config := .unfoldSameFun)
This only allows congruences between functions applications of definitionally equal functions,
and it applies congruence lemmas at default transparency (rather than just reducible).
This is somewhat like congr
.
See Congr!.Config
for all options.
congrm
Defined in: Mathlib.Tactic.congrM
congrm e
is a tactic for proving goals of the form lhs = rhs
, lhs ↔ rhs
, HEq lhs rhs
,
or R lhs rhs
when R
is a reflexive relation.
The expression e
is a pattern containing placeholders ?_
,
and this pattern is matched against lhs
and rhs
simultaneously.
These placeholders generate new goals that state that corresponding subexpressions
in lhs
and rhs
are equal.
If the placeholders have names, such as ?m
, then the new goals are given tags with those names.
Examples:
example {a b c d : ℕ} :
Nat.pred a.succ * (d + (c + a.pred)) = Nat.pred b.succ * (b + (c + d.pred)) := by
congrm Nat.pred (Nat.succ ?h1) * (?h2 + ?h3)
/- Goals left:
case h1 ⊢ a = b
case h2 ⊢ d = b
case h3 ⊢ c + a.pred = c + d.pred
-/
sorry
sorry
sorry
example {a b : ℕ} (h : a = b) : (fun y : ℕ => ∀ z, a + a = z) = (fun x => ∀ z, b + a = z) := by
congrm fun x => ∀ w, ?_ + a = w
-- ⊢ a = b
exact h
The congrm
command is a convenient frontend to congr(...)
congruence quotations.
If the goal is an equality, congrm e
is equivalent to refine congr(e')
where e'
is
built from e
by replacing each placeholder ?m
by $(?m)
.
The pattern e
is allowed to contain $(...)
expressions to immediately substitute
equality proofs into the congruence, just like for congruence quotations.
constructor
Defined in: Lean.Parser.Tactic.constructor
If the main goal's target type is an inductive type, constructor
solves it with
the first matching constructor, or else fails.
constructorm
Defined in: Mathlib.Tactic.constructorM
constructorm p_1, ..., p_n
applies theconstructor
tactic to the main goal iftype
matches one of the given patterns.constructorm* p
is a more efficient and compact version of· repeat constructorm p
. It is more efficient because the pattern is compiled once.
Example: The following tactic proves any theorem like True ∧ (True ∨ True)
consisting of
and/or/true:
constructorm* _ ∨ _, _ ∧ _, True
continuity
Defined in: tacticContinuity
The tactic continuity
solves goals of the form Continuous f
by applying lemmas tagged with the
continuity
user attribute.
continuity?
Defined in: tacticContinuity?
The tactic continuity
solves goals of the form Continuous f
by applying lemmas tagged with the
continuity
user attribute.
contradiction
Defined in: Lean.Parser.Tactic.contradiction
contradiction
closes the main goal if its hypotheses are "trivially contradictory".
- Inductive type/family with no applicable constructors
example (h : False) : p := by contradiction
- Injectivity of constructors
example (h : none = some true) : p := by contradiction --
- Decidable false proposition
example (h : 2 + 2 = 3) : p := by contradiction
- Contradictory hypotheses
example (h : p) (h' : ¬ p) : q := by contradiction
- Other simple contradictions such as
example (x : Nat) (h : x ≠ x) : p := by contradiction
contrapose
Defined in: Mathlib.Tactic.Contrapose.contrapose
Transforms the goal into its contrapositive.
contrapose
turns a goalP → Q
into¬ Q → ¬ P
contrapose h
first reverts the local assumptionh
, and then usescontrapose
andintro h
contrapose h with new_h
uses the namenew_h
for the introduced hypothesis
contrapose!
Defined in: Mathlib.Tactic.Contrapose.contrapose!
Transforms the goal into its contrapositive and uses pushes negations inside P
and Q
.
Usage matches contrapose
conv
Defined in: Lean.Parser.Tactic.Conv.conv
conv => ...
allows the user to perform targeted rewriting on a goal or hypothesis,
by focusing on particular subexpressions.
See https://leanprover.github.io/theorem_proving_in_lean4/conv.html for more details.
Basic forms:
conv => cs
will rewrite the goal with conv tacticscs
.conv at h => cs
will rewrite hypothesish
.conv in pat => cs
will rewrite the first subexpression matchingpat
(seepattern
).
conv'
Defined in: Lean.Parser.Tactic.Conv.convTactic
Executes the given conv block without converting regular goal into a conv
goal.
conv_lhs
Defined in: Mathlib.Tactic.Conv.convLHS
conv_rhs
Defined in: Mathlib.Tactic.Conv.convRHS
convert
Defined in: Mathlib.Tactic.convert
The exact e
and refine e
tactics require a term e
whose type is
definitionally equal to the goal. convert e
is similar to refine e
,
but the type of e
is not required to exactly match the
goal. Instead, new goals are created for differences between the type
of e
and the goal using the same strategies as the congr!
tactic.
For example, in the proof state
n : ℕ,
e : Prime (2 * n + 1)
⊢ Prime (n + n + 1)
the tactic convert e using 2
will change the goal to
⊢ n + n = 2 * n
In this example, the new goal can be solved using ring
.
The using 2
indicates it should iterate the congruence algorithm up to two times,
where convert e
would use an unrestricted number of iterations and lead to two
impossible goals: ⊢ HAdd.hAdd = HMul.hMul
and ⊢ n = 2
.
A variant configuration is convert (config := .unfoldSameFun) e
, which only equates function
applications for the same function (while doing so at the higher default
transparency).
This gives the same goal of ⊢ n + n = 2 * n
without needing using 2
.
The convert
tactic applies congruence lemmas eagerly before reducing,
therefore it can fail in cases where exact
succeeds:
def p (n : ℕ) := True
example (h : p 0) : p 1 := by exact h -- succeeds
example (h : p 0) : p 1 := by convert h -- fails, with leftover goal `1 = 0`
Limiting the depth of recursion can help with this. For example, convert h using 1
will work
in this case.
The syntax convert ← e
will reverse the direction of the new goals
(producing ⊢ 2 * n = n + n
in this example).
Internally, convert e
works by creating a new goal asserting that
the goal equals the type of e
, then simplifying it using
congr!
. The syntax convert e using n
can be used to control the
depth of matching (like congr! n
). In the example, convert e using 1
would produce a new goal ⊢ n + n + 1 = 2 * n + 1
.
Refer to the congr!
tactic to understand the congruence operations. One of its many
features is that if x y : t
and an instance Subsingleton t
is in scope,
then any goals of the form x = y
are solved automatically.
Like congr!
, convert
takes an optional with
clause of rintro
patterns,
for example convert e using n with x y z
.
The convert
tactic also takes a configuration option, for example
convert (config := {transparency := .default}) h
These are passed to congr!
. See Congr!.Config
for options.
convert_to
Defined in: Mathlib.Tactic.convertTo
convert_to g using n
attempts to change the current goal to g
, but unlike change
,
it will generate equality proof obligations using congr! n
to resolve discrepancies.
convert_to g
defaults to using congr! 1
.
convert_to
is similar to convert
, but convert_to
takes a type (the desired subgoal) while
convert
takes a proof term.
That is, convert_to g using n
is equivalent to convert (?_ : g) using n
.
The syntax for convert_to
is the same as for convert
, and it has variations such as
convert_to ← g
and convert_to (config := {transparency := .default}) g
.
dbg_trace
Defined in: Lean.Parser.Tactic.dbgTrace
dbg_trace "foo"
prints foo
when elaborated.
Useful for debugging tactic control flow:
example : False ∨ True := by
first
| apply Or.inl; trivial; dbg_trace "left"
| apply Or.inr; trivial; dbg_trace "right"
decreasing_tactic
Defined in: tacticDecreasing_tactic
decreasing_tactic
is called by default on well-founded recursions in order
to synthesize a proof that recursive calls decrease along the selected
well founded relation. It can be locally overridden by using decreasing_by tac
on the recursive definition, and it can also be globally extended by adding
more definitions for decreasing_tactic
(or decreasing_trivial
,
which this tactic calls).
decreasing_trivial
Defined in: tacticDecreasing_trivial
Extensible helper tactic for decreasing_tactic
. This handles the "base case"
reasoning after applying lexicographic order lemmas.
It can be extended by adding more macro definitions, e.g.
macro_rules | `(tactic| decreasing_trivial) => `(tactic| linarith)
decreasing_with
Defined in: tacticDecreasing_with_
Constructs a proof of decreasing along a well founded relation, by applying
lexicographic order lemmas and using ts
to solve the base case. If it fails,
it prints a message to help the user diagnose an ill-founded recursive definition.
delta
Defined in: Lean.Parser.Tactic.delta
delta id1 id2 ...
delta-expands the definitions id1
, id2
, ....
This is a low-level tactic, it will expose how recursive definitions have been
compiled by Lean.
discrete_cases
Defined in: CategoryTheory.Discrete.tacticDiscrete_cases
A simple tactic to run cases
on any Discrete α
hypotheses.
done
Defined in: Lean.Parser.Tactic.done
done
succeeds iff there are no remaining goals.
dsimp
Defined in: Lean.Parser.Tactic.dsimp
The dsimp
tactic is the definitional simplifier. It is similar to simp
but only
applies theorems that hold by reflexivity. Thus, the result is guaranteed to be
definitionally equal to the input.
dsimp!
Defined in: Lean.Parser.Tactic.dsimpAutoUnfold
dsimp!
is shorthand for dsimp
with autoUnfold := true
.
This will rewrite with all equation lemmas, which can be used to
partially evaluate many definitions.
dsimp?
Defined in: Std.Tactic.dsimpTrace
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
dsimp?!
Defined in: Std.Tactic.tacticDsimp?!_
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
eapply
Defined in: Std.Tactic.tacticEapply_
eapply e
is like apply e
but it does not add subgoals for variables that appear
in the types of other goals. Note that this can lead to a failure where there are
no goals remaining but there are still metavariables in the term:
example (h : ∀ x : Nat, x = x → True) : True := by
eapply h
rfl
-- no goals
-- (kernel) declaration has metavariables '_example'
econstructor
Defined in: tacticEconstructor
econstructor
is like constructor
(it calls apply
using the first matching constructor of an inductive datatype)
except only non-dependent premises are added as new goals.
elementwise
Defined in: Tactic.Elementwise.tacticElementwise___
elementwise!
Defined in: Tactic.Elementwise.tacticElementwise!___
eq_refl
Defined in: Lean.Parser.Tactic.refl
eq_refl
is equivalent to exact rfl
, but has a few optimizations.
erw
Defined in: Lean.Parser.Tactic.tacticErw__
erw [rules]
is a shorthand for rw (config := { transparency := .default }) [rules]
.
This does rewriting up to unfolding of regular definitions (by comparison to regular rw
which only unfolds @[reducible]
definitions).
eta_expand
Defined in: Mathlib.Tactic.etaExpandStx
eta_expand at loc
eta expands all sub-expressions at the given location.
It also beta reduces any applications of eta expanded terms, so it puts it
into an eta-expanded "normal form."
This also exists as a conv
-mode tactic.
For example, if f
takes two arguments, then f
becomes fun x y => f x y
and f x
becomes fun y => f x y
.
This can be useful to turn, for example, a raw HAdd.hAdd
into fun x y => x + y
.
eta_reduce
Defined in: Mathlib.Tactic.etaReduceStx
eta_reduce at loc
eta reduces all sub-expressions at the given location.
This also exists as a conv
-mode tactic.
For example, fun x y => f x y
becomes f
after eta reduction.
eta_struct
Defined in: Mathlib.Tactic.etaStructStx
eta_struct at loc
transforms structure constructor applications such as S.mk x.1 ... x.n
(pretty printed as, for example, {a := x.a, b := x.b, ...}
) into x
.
This also exists as a conv
-mode tactic.
The transformation is known as eta reduction for structures, and it yields definitionally equal expressions.
For example, given x : α × β
, then (x.1, x.2)
becomes x
after this transformation.
exact
Defined in: Lean.Parser.Tactic.exact
exact e
closes the main goal if its target type matches that of e
.
exact!?
Defined in: Mathlib.Tactic.LibrarySearch.exact!?
exact?
Defined in: Mathlib.Tactic.LibrarySearch.exact?'
exact?!
Defined in: Mathlib.Tactic.LibrarySearch.exact?!
exact_mod_cast
Defined in: Tactic.NormCast.tacticExact_mod_cast_
Normalize the goal and the given expression, then close the goal with exact.
exacts
Defined in: Std.Tactic.exacts
Like exact
, but takes a list of terms and checks that all goals are discharged after the tactic.
exfalso
Defined in: Std.Tactic.tacticExfalso
exfalso
converts a goal ⊢ tgt
into ⊢ False
by applying False.elim
.
exists
Defined in: Lean.Parser.Tactic.«tacticExists_,,»
exists e₁, e₂, ...
is shorthand for refine ⟨e₁, e₂, ...⟩; try trivial
.
It is useful for existential goals.
existsi
Defined in: Mathlib.Tactic.«tacticExistsi_,,»
existsi e₁, e₂, ⋯
applies the tactic refine ⟨e₁, e₂, ⋯, ?_⟩
. It's purpose is to instantiate
existential quantifiers.
Examples:
example : ∃ x : Nat, x = x := by
existsi 42
rfl
example : ∃ x : Nat, ∃ y : Nat, x = y := by
existsi 42, 42
rfl
ext
Defined in: Std.Tactic.Ext.«tacticExt___:_»
ext pat*
: Apply extensionality lemmas as much as possible, usingpat*
to introduce the variables in extensionality lemmas likefunext
.ext
: introduce anonymous variables whenever needed.ext pat* : n
: apply ext lemmas only up to depthn
.
ext1
Defined in: Std.Tactic.Ext.tacticExt1___
ext1 pat*
is like ext pat*
except it only applies one extensionality lemma instead
of recursing as much as possible.
ext1?
Defined in: Std.Tactic.Ext.tacticExt1?___
ext1? pat*
is like ext1 pat*
but gives a suggestion on what pattern to use
ext?
Defined in: Std.Tactic.Ext.«tacticExt?___:_»
ext? pat*
is like ext pat*
but gives a suggestion on what pattern to use
extract_goal
Defined in: Mathlib.Tactic.extractGoal
extract_goal
formats the current goal as a stand-alone theorem or definition,
and extract_goal name
uses the name name
instead of an autogenerated one.
It tries to produce an output that can be copy-pasted and just work, but its success depends on whether the expressions are amenable to being unambiguously pretty printed.
By default it cleans up the local context. To use the full local context, use extract_goal*
.
The tactic responds to pretty printing options.
For example, set_option pp.all true in extract_goal
gives the pp.all
form.
extract_lets
Defined in: Mathlib.extractLets
The extract_lets at h
tactic takes a local hypothesis of the form h : let x := v; b
and introduces a new local definition x := v
while changing h
to be h : b
. It can be thought
of as being a cases
tactic for let
expressions. It can also be thought of as being like
intros at h
for let
expressions.
For example, if h : let x := 1; x = x
, then extract_lets x at h
introduces x : Nat := 1
and
changes h
to h : x = x
.
Just like intros
, the extract_lets
tactic either takes a list of names, in which case
that specifies the number of let
bindings that must be extracted, or it takes no names, in which
case all the let
bindings are extracted.
The tactic extract_let at ⊢
is a weaker form of intros
that only introduces obvious let
s.
fail
Defined in: Lean.Parser.Tactic.fail
fail msg
is a tactic that always fails, and produces an error using the given message.
fail_if_no_progress
Defined in: Mathlib.Tactic.failIfNoProgress
fail_if_no_progress tacs
evaluates tacs
, and fails if no progress is made on the main goal
or the local context at reducible transparency.
fail_if_success
Defined in: Lean.Parser.Tactic.failIfSuccess
fail_if_success t
fails if the tactic t
succeeds.
fapply
Defined in: Std.Tactic.tacticFapply_
fapply e
is like apply e
but it adds goals in the order they appear,
rather than putting the dependent goals first.
fconstructor
Defined in: tacticFconstructor
fconstructor
is like constructor
(it calls apply
using the first matching constructor of an inductive datatype)
except that it does not reorder goals.
field_simp
Defined in: Mathlib.Tactic.FieldSimp.fieldSimp
The goal of field_simp
is to reduce an expression in a field to an expression of the form n / d
where neither n
nor d
contains any division symbol, just using the simplifier (with a carefully
crafted simpset named field_simps
) to reduce the number of division symbols whenever possible by
iterating the following steps:
- write an inverse as a division
- in any product, move the division to the right
- if there are several divisions in a product, group them together at the end and write them as a single division
- reduce a sum to a common denominator
If the goal is an equality, this simpset will also clear the denominators, so that the proof
can normally be concluded by an application of ring
or ring_exp
.
field_simp [hx, hy]
is a short form for
simp (discharger := Tactic.FieldSimp.discharge) [-one_div, -mul_eq_zero, hx, hy, field_simps]
Note that this naive algorithm will not try to detect common factors in denominators to reduce the
complexity of the resulting expression. Instead, it relies on the ability of ring
to handle
complicated expressions in the next step.
As always with the simplifier, reduction steps will only be applied if the preconditions of the lemmas can be checked. This means that proofs that denominators are nonzero should be included. The fact that a product is nonzero when all factors are, and that a power of a nonzero number is nonzero, are included in the simpset, but more complicated assertions (especially dealing with sums) should be given explicitly. If your expression is not completely reduced by the simplifier invocation, check the denominators of the resulting expression and provide proofs that they are nonzero to enable further progress.
To check that denominators are nonzero, field_simp
will look for facts in the context, and
will try to apply norm_num
to close numerical goals.
The invocation of field_simp
removes the lemma one_div
from the simpset, as this lemma
works against the algorithm explained above. It also removes
mul_eq_zero : x * y = 0 ↔ x = 0 ∨ y = 0
, as norm_num
can not work on disjunctions to
close goals of the form 24 ≠ 0
, and replaces it with mul_ne_zero : x ≠ 0 → y ≠ 0 → x * y ≠ 0
creating two goals instead of a disjunction.
For example,
example (a b c d x y : ℂ) (hx : x ≠ 0) (hy : y ≠ 0) :
a + b / x + c / x^2 + d / x^3 = a + x⁻¹ * (y * b / y + (d / x + c) / x) := by
field_simp
ring
Moreover, the field_simp
tactic can also take care of inverses of units in
a general (commutative) monoid/ring and partial division /ₚ
, see Algebra.Group.Units
for the definition. Analogue to the case above, the lemma one_divp
is removed from the simpset
as this works against the algorithm. If you have objects with an IsUnit x
instance like
(x : R) (hx : IsUnit x)
, you should lift them with
lift x to Rˣ using id hx, rw [IsUnit.unit_of_val_units] clear hx
before using field_simp
.
See also the cancel_denoms
tactic, which tries to do a similar simplification for expressions
that have numerals in denominators.
The tactics are not related: cancel_denoms
will only handle numeric denominators, and will try to
entirely remove (numeric) division from the expression by multiplying by a factor.
filter_upwards
Defined in: Mathlib.Tactic.filterUpwards
filter_upwards [h₁, ⋯, hₙ]
replaces a goal of the form s ∈ f
and terms
h₁ : t₁ ∈ f, ⋯, hₙ : tₙ ∈ f
with ∀ x, x ∈ t₁ → ⋯ → x ∈ tₙ → x ∈ s
.
The list is an optional parameter, []
being its default value.
filter_upwards [h₁, ⋯, hₙ] with a₁ a₂ ⋯ aₖ
is a short form for
{ filter_upwards [h₁, ⋯, hₙ], intros a₁ a₂ ⋯ aₖ }
.
filter_upwards [h₁, ⋯, hₙ] using e
is a short form for
{ filter_upwards [h1, ⋯, hn], exact e }
.
Combining both shortcuts is done by writing filter_upwards [h₁, ⋯, hₙ] with a₁ a₂ ⋯ aₖ using e
.
Note that in this case, the aᵢ
terms can be used in e
.
fin_cases
Defined in: Lean.Elab.Tactic.finCases
fin_cases h
performs case analysis on a hypothesis of the form
h : A
, where [Fintype A]
is available, or
h : a ∈ A
, where A : Finset X
, A : Multiset X
or A : List X
.
As an example, in
example (f : ℕ → Prop) (p : Fin 3) (h0 : f 0) (h1 : f 1) (h2 : f 2) : f p.val := by
fin_cases p; simp
all_goals assumption
after fin_cases p; simp
, there are three goals, f 0
, f 1
, and f 2
.
find
Defined in: Mathlib.Tactic.Find.tacticFind
first
Defined in: Lean.Parser.Tactic.first
first | tac | ...
runs each tac
until one succeeds, or else fails.
focus
Defined in: Lean.Parser.Tactic.focus
focus tac
focuses on the main goal, suppressing all other goals, and runs tac
on it.
Usually · tac
, which enforces that the goal is closed by tac
, should be preferred.
frac_tac
Defined in: RatFunc.tacticFrac_tac
Solve equations for RatFunc K
by working in FractionRing K[X]
.
funext
Defined in: tacticFunext___
Apply function extensionality and introduce new hypotheses.
The tactic funext
will keep applying the funext
lemma until the goal target is not reducible to
|- ((fun x => ...) = (fun x => ...))
The variant funext h₁ ... hₙ
applies funext
n
times, and uses the given identifiers to name the new hypotheses.
Patterns can be used like in the intro
tactic. Example, given a goal
|- ((fun x : Nat × Bool => ...) = (fun x => ...))
funext (a, b)
applies funext
once and performs pattern matching on the newly introduced pair.
gcongr
Defined in: Mathlib.Tactic.GCongr.tacticGcongr__With__
The gcongr
tactic applies "generalized congruence" rules, reducing a relational goal
between a LHS and RHS matching the same pattern to relational subgoals between the differing
inputs to the pattern. For example,
example {a b x c d : ℝ} (h1 : a + 1 ≤ b + 1) (h2 : c + 2 ≤ d + 2) :
x ^ 2 * a + c ≤ x ^ 2 * b + d := by
gcongr
· linarith
· linarith
This example has the goal of proving the relation ≤
between a LHS and RHS both of the pattern
x ^ 2 * ?_ + ?_
(with inputs a
, c
on the left and b
, d
on the right); after the use of
gcongr
, we have the simpler goals a ≤ b
and c ≤ d
.
A pattern can be provided explicitly; this is useful if a non-maximal match is desired:
example {a b c d x : ℝ} (h : a + c + 1 ≤ b + d + 1) :
x ^ 2 * (a + c) + 5 ≤ x ^ 2 * (b + d) + 5 := by
gcongr x ^ 2 * ?_ + 5
linarith
The "generalized congruence" rules used are the library lemmas which have been tagged with the
attribute @[gcongr]
. For example, the first example constructs the proof term
add_le_add (mul_le_mul_of_nonneg_left _ (pow_bit0_nonneg x 1)) _
using the generalized congruence lemmas add_le_add
and mul_le_mul_of_nonneg_left
.
The tactic attempts to discharge side goals to these "generalized congruence" lemmas (such as the
side goal 0 ≤ x ^ 2
in the above application of mul_le_mul_of_nonneg_left
) using the tactic
gcongr_discharger
, which wraps positivity
but can also be extended. Side goals not discharged
in this way are left for the user.
gcongr_discharger
Defined in: Mathlib.Tactic.GCongr.tacticGcongr_discharger
generalize
Defined in: Lean.Parser.Tactic.generalize
generalize ([h :] e = x),+
replaces all occurrencese
s in the main goal with a fresh hypothesisx
s. Ifh
is given,h : e = x
is introduced as well.generalize e = x at h₁ ... hₙ
also generalizes occurrences ofe
insideh₁
, ...,hₙ
.generalize e = x at *
will generalize occurrences ofe
everywhere.
generalize_proofs
Defined in: Mathlib.Tactic.GeneralizeProofs.generalizeProofs
Generalize proofs in the goal, naming them with the provided list.
For example:
example : List.nthLe [1, 2] 1 dec_trivial = 2 := by
-- ⊢ [1, 2].nthLe 1 _ = 2
generalize_proofs h,
-- h : 1 < [1, 2].length
-- ⊢ [1, 2].nthLe 1 h = 2
get_elem_tactic
Defined in: tacticGet_elem_tactic
get_elem_tactic
is the tactic automatically called by the notation arr[i]
to prove any side conditions that arise when constructing the term
(e.g. the index is in bounds of the array). It just delegates to
get_elem_tactic_trivial
and gives a diagnostic error message otherwise;
users are encouraged to extend get_elem_tactic_trivial
instead of this tactic.
get_elem_tactic_trivial
Defined in: tacticGet_elem_tactic_trivial
get_elem_tactic_trivial
is an extensible tactic automatically called
by the notation arr[i]
to prove any side conditions that arise when
constructing the term (e.g. the index is in bounds of the array).
The default behavior is to just try trivial
(which handles the case
where i < arr.size
is in the context) and simp_arith
(for doing linear arithmetic in the index).
group
Defined in: Mathlib.Tactic.Group.group
Tactic for normalizing expressions in multiplicative groups, without assuming commutativity, using only the group axioms without any information about which group is manipulated.
(For additive commutative groups, use the abel
tactic instead.)
Example:
example {G : Type} [Group G] (a b c d : G) (h : c = (a*b^2)*((b*b)⁻¹*a⁻¹)*d) : a*c*d⁻¹ = a :=
begin
group at h, -- normalizes `h` which becomes `h : c = d`
rw h, -- the goal is now `a*d*d⁻¹ = a`
group, -- which then normalized and closed
end
guard_expr
Defined in: Std.Tactic.GuardExpr.guardExpr
Tactic to check equality of two expressions.
guard_expr e = e'
checks thate
ande'
are defeq at reducible transparency.guard_expr e =~ e'
checks thate
ande'
are defeq at default transparency.guard_expr e =ₛ e'
checks thate
ande'
are syntactically equal.guard_expr e =ₐ e'
checks thate
ande'
are alpha-equivalent.
Both e
and e'
are elaborated then have their metavariables instantiated before the equality
check. Their types are unified (using isDefEqGuarded
) before synthetic metavariables are
processed, which helps with default instance handling.
guard_goal_nums
Defined in: guardGoalNums
guard_goal_nums n
succeeds if there are exactly n
goals and fails otherwise.
guard_hyp
Defined in: Std.Tactic.GuardExpr.guardHyp
Tactic to check that a named hypothesis has a given type and/or value.
guard_hyp h : t
checks the type up to reducible defeq,guard_hyp h :~ t
checks the type up to default defeq,guard_hyp h :ₛ t
checks the type up to syntactic equality,guard_hyp h :ₐ t
checks the type up to alpha equality.guard_hyp h := v
checks value up to reducible defeq,guard_hyp h :=~ v
checks value up to default defeq,guard_hyp h :=ₛ v
checks value up to syntactic equality,guard_hyp h :=ₐ v
checks the value up to alpha equality.
The value v
is elaborated using the type of h
as the expected type.
guard_hyp_nums
Defined in: guardHypNums
guard_hyp_nums n
succeeds if there are exactly n
hypotheses and fails otherwise.
Note that, depending on what options are set, some hypotheses in the local context might not be printed in the goal view. This tactic computes the total number of hypotheses, not the number of visible hypotheses.
guard_target
Defined in: Std.Tactic.GuardExpr.guardTarget
Tactic to check that the target agrees with a given expression.
guard_target = e
checks that the target is defeq at reducible transparency toe
.guard_target =~ e
checks that the target is defeq at default transparency toe
.guard_target =ₛ e
checks that the target is syntactically equal toe
.guard_target =ₐ e
checks that the target is alpha-equivalent toe
.
The term e
is elaborated with the type of the goal as the expected type, which is mostly
useful within conv
mode.
have
Defined in: Lean.Parser.Tactic.tacticHave_
have h : t := e
adds the hypothesis h : t
to the current goal if e
a term
of type t
.
- If
t
is omitted, it will be inferred. - If
h
is omitted, the namethis
is used. - The variant
have pattern := e
is equivalent tomatch e with | pattern => _
, and it is convenient for types that have only one applicable constructor. For example, givenh : p ∧ q ∧ r
,have ⟨h₁, h₂, h₃⟩ := h
produces the hypothesesh₁ : p
,h₂ : q
, andh₃ : r
.
have
Defined in: Mathlib.Tactic.tacticHave_
have!?
Defined in: Mathlib.Tactic.Propose.«tacticHave!?:_Using__»
have? using a, b, c
tries to find a lemma which makes use of each of the local hypothesesa, b, c
, and reports any results via trace messages.have? : h using a, b, c
only returns lemmas whose type matchesh
(which may contain_
).have?! using a, b, c
will also callhave
to add results to the local goal state.
Note that have?
(unlike apply?
) does not inspect the goal at all,
only the types of the lemmas in the using
clause.
have?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as have := f a b c
.
have'
Defined in: Lean.Parser.Tactic.tacticHave'_
Similar to have
, but using refine'
have'
Defined in: Lean.Parser.Tactic.«tacticHave'_:=_»
Similar to have
, but using refine'
have?
Defined in: Mathlib.Tactic.Propose.propose'
have? using a, b, c
tries to find a lemma which makes use of each of the local hypothesesa, b, c
, and reports any results via trace messages.have? : h using a, b, c
only returns lemmas whose type matchesh
(which may contain_
).have?! using a, b, c
will also callhave
to add results to the local goal state.
Note that have?
(unlike apply?
) does not inspect the goal at all,
only the types of the lemmas in the using
clause.
have?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as have := f a b c
.
have?!
Defined in: Mathlib.Tactic.Propose.«tacticHave?!:_Using__»
have? using a, b, c
tries to find a lemma which makes use of each of the local hypothesesa, b, c
, and reports any results via trace messages.have? : h using a, b, c
only returns lemmas whose type matchesh
(which may contain_
).have?! using a, b, c
will also callhave
to add results to the local goal state.
Note that have?
(unlike apply?
) does not inspect the goal at all,
only the types of the lemmas in the using
clause.
have?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as have := f a b c
.
haveI
Defined in: Std.Tactic.tacticHaveI_
haveI
behaves like have
, but inlines the value instead of producing a let_fun
term.
induction
Defined in: Lean.Parser.Tactic.induction
Assuming x
is a variable in the local context with an inductive type,
induction x
applies induction on x
to the main goal,
producing one goal for each constructor of the inductive type,
in which the target is replaced by a general instance of that constructor
and an inductive hypothesis is added for each recursive argument to the constructor.
If the type of an element in the local context depends on x
,
that element is reverted and reintroduced afterward,
so that the inductive hypothesis incorporates that hypothesis as well.
For example, given n : Nat
and a goal with a hypothesis h : P n
and target Q n
,
induction n
produces one goal with hypothesis h : P 0
and target Q 0
,
and one goal with hypotheses h : P (Nat.succ a)
and ih₁ : P a → Q a
and target Q (Nat.succ a)
.
Here the names a
and ih₁
are chosen automatically and are not accessible.
You can use with
to provide the variables names for each constructor.
induction e
, wheree
is an expression instead of a variable, generalizese
in the goal, and then performs induction on the resulting variable.induction e using r
allows the user to specify the principle of induction that should be used. Herer
should be a theorem whose result type must be of the formC t
, whereC
is a bound variable andt
is a (possibly empty) sequence of bound variablesinduction e generalizing z₁ ... zₙ
, wherez₁ ... zₙ
are variables in the local context, generalizes overz₁ ... zₙ
before applying the induction but then introduces them in each goal. In other words, the net effect is that each inductive hypothesis is generalized.- Given
x : Nat
,induction x with | zero => tac₁ | succ x' ih => tac₂
uses tactictac₁
for thezero
case, andtac₂
for thesucc
case.
induction'
Defined in: Mathlib.Tactic.induction'
infer_instance
Defined in: Lean.Parser.Tactic.tacticInfer_instance
infer_instance
is an abbreviation for exact inferInstance
.
It synthesizes a value of any target type by typeclass inference.
infer_param
Defined in: Mathlib.Tactic.inferOptParam
Close a goal of the form optParam α a
or autoParam α stx
by using a
.
inhabit
Defined in: Lean.Elab.Tactic.inhabit
inhabit α
tries to derive a Nonempty α
instance and
then uses it to make an Inhabited α
instance.
If the target is a Prop
, this is done constructively. Otherwise, it uses Classical.choice
.
injection
Defined in: Lean.Parser.Tactic.injection
The injection
tactic is based on the fact that constructors of inductive data
types are injections.
That means that if c
is a constructor of an inductive datatype, and if (c t₁)
and (c t₂)
are two terms that are equal then t₁
and t₂
are equal too.
If q
is a proof of a statement of conclusion t₁ = t₂
, then injection applies
injectivity to derive the equality of all arguments of t₁
and t₂
placed in
the same positions. For example, from (a::b) = (c::d)
we derive a=c
and b=d
.
To use this tactic t₁
and t₂
should be constructor applications of the same constructor.
Given h : a::b = c::d
, the tactic injection h
adds two new hypothesis with types
a = c
and b = d
to the main goal.
The tactic injection h with h₁ h₂
uses the names h₁
and h₂
to name the new hypotheses.
injections
Defined in: Lean.Parser.Tactic.injections
injections
applies injection
to all hypotheses recursively
(since injection
can produce new hypotheses). Useful for destructing nested
constructor equalities like (a::b::c) = (d::e::f)
.
interval_cases
Defined in: Mathlib.Tactic.intervalCases
interval_cases n
searches for upper and lower bounds on a variable n
,
and if bounds are found,
splits into separate cases for each possible value of n
.
As an example, in
example (n : ℕ) (w₁ : n ≥ 3) (w₂ : n < 5) : n = 3 ∨ n = 4 := by
interval_cases n
all_goals simp
after interval_cases n
, the goals are 3 = 3 ∨ 3 = 4
and 4 = 3 ∨ 4 = 4
.
You can also explicitly specify a lower and upper bound to use,
as interval_cases using hl, hu
.
The hypotheses should be in the form hl : a ≤ n
and hu : n < b
,
in which case interval_cases
calls fin_cases
on the resulting fact n ∈ Set.Ico a b
.
You can specify a name h
for the new hypothesis,
as interval_cases h : n
or interval_cases h : n using hl, hu
.
intro
Defined in: Lean.Parser.Tactic.intro
Introduces one or more hypotheses, optionally naming and/or pattern-matching them.
For each hypothesis to be introduced, the remaining main goal's target type must
be a let
or function type.
intro
by itself introduces one anonymous hypothesis, which can be accessed by e.g.assumption
.intro x y
introduces two hypotheses and names them. Individual hypotheses can be anonymized via_
, or matched against a pattern:-- ... ⊢ α × β → ... intro (a, b) -- ..., a : α, b : β ⊢ ...
- Alternatively,
intro
can be combined with pattern matching much likefun
:intro | n + 1, 0 => tac | ...
intro
Defined in: Std.Tactic.«tacticIntro.»
The tactic intro.
is shorthand for exact fun.
: it introduces the assumptions, then performs an
empty pattern match, closing the goal if the introduced pattern is impossible.
intros
Defined in: Lean.Parser.Tactic.intros
intros x...
behaves like intro x...
, but then keeps introducing (anonymous)
hypotheses until goal is not of a function type.
introv
Defined in: Mathlib.Tactic.introv
The tactic introv
allows the user to automatically introduce the variables of a theorem and
explicitly name the non-dependent hypotheses.
Any dependent hypotheses are assigned their default names.
Examples:
example : ∀ a b : Nat, a = b → b = a := by
introv h,
exact h.symm
The state after introv h
is
a b : ℕ,
h : a = b
⊢ b = a
example : ∀ a b : Nat, a = b → ∀ c, b = c → a = c := by
introv h₁ h₂,
exact h₁.trans h₂
The state after introv h₁ h₂
is
a b : ℕ,
h₁ : a = b,
c : ℕ,
h₂ : b = c
⊢ a = c
isBoundedDefault
Defined in: Filter.tacticIsBoundedDefault
Filters are automatically bounded or cobounded in complete lattices. To use the same statements
in complete and conditionally complete lattices but let automation fill automatically the
boundedness proofs in complete lattices, we use the tactic isBoundedDefault
in the statements,
in the form (hf : f.IsBounded (≥) := by isBoundedDefault)
.
iterate
Defined in: Std.Tactic.tacticIterate____
iterate n tac
runs tac
exactly n
times.
iterate tac
runs tac
repeatedly until failure.
To run multiple tactics, one can do iterate (tac₁; tac₂; ⋯)
or
iterate
tac₁
tac₂
⋯
left
Defined in: Mathlib.Tactic.tacticLeft
let
Defined in: Lean.Parser.Tactic.letrec
let rec f : t := e
adds a recursive definition f
to the current goal.
The syntax is the same as term-mode let rec
.
let
Defined in: Mathlib.Tactic.tacticLet_
let
Defined in: Lean.Parser.Tactic.tacticLet_
let h : t := e
adds the hypothesis h : t := e
to the current goal if e
a term of type t
.
If t
is omitted, it will be inferred.
The variant let pattern := e
is equivalent to match e with | pattern => _
,
and it is convenient for types that have only applicable constructor.
Example: given h : p ∧ q ∧ r
, let ⟨h₁, h₂, h₃⟩ := h
produces the hypotheses
h₁ : p
, h₂ : q
, and h₃ : r
.
let'
Defined in: Lean.Parser.Tactic.tacticLet'_
Similar to let
, but using refine'
letI
Defined in: Std.Tactic.tacticLetI_
letI
behaves like let
, but inlines the value instead of producing a let_fun
term.
library_search
Defined in: Mathlib.Tactic.LibrarySearch.tacticLibrary_search
lift
Defined in: Mathlib.Tactic.lift
Lift an expression to another type.
- Usage:
'lift' expr 'to' expr ('using' expr)? ('with' id (id id?)?)?
. - If
n : ℤ
andhn : n ≥ 0
then the tacticlift n to ℕ using hn
creates a new constant of typeℕ
, also namedn
and replaces all occurrences of the old variable(n : ℤ)
with↑n
(wheren
in the new variable). It will removen
andhn
from the context.- So for example the tactic
lift n to ℕ using hn
transforms the goaln : ℤ, hn : n ≥ 0, h : P n ⊢ n = 3
ton : ℕ, h : P ↑n ⊢ ↑n = 3
(hereP
is some term of typeℤ → Prop
).
- So for example the tactic
- The argument
using hn
is optional, the tacticlift n to ℕ
does the same, but also creates a new subgoal thatn ≥ 0
(wheren
is the old variable). This subgoal will be placed at the top of the goal list.- So for example the tactic
lift n to ℕ
transforms the goaln : ℤ, h : P n ⊢ n = 3
to two goalsn : ℤ, h : P n ⊢ n ≥ 0
andn : ℕ, h : P ↑n ⊢ ↑n = 3
.
- So for example the tactic
- You can also use
lift n to ℕ using e
wheree
is any expression of typen ≥ 0
. - Use
lift n to ℕ with k
to specify the name of the new variable. - Use
lift n to ℕ with k hk
to also specify the name of the equality↑k = n
. In this case,n
will remain in the context. You can userfl
for the name ofhk
to substituten
away (i.e. the default behavior). - You can also use
lift e to ℕ with k hk
wheree
is any expression of typeℤ
. In this case, thehk
will always stay in the context, but it will be used to rewritee
in all hypotheses and the target.- So for example the tactic
lift n + 3 to ℕ using hn with k hk
transforms the goaln : ℤ, hn : n + 3 ≥ 0, h : P (n + 3) ⊢ n + 3 = 2 * n
to the goaln : ℤ, k : ℕ, hk : ↑k = n + 3, h : P ↑k ⊢ ↑k = 2 * n
.
- So for example the tactic
- The tactic
lift n to ℕ using h
will removeh
from the context. If you want to keep it, specify it again as the third argument towith
, like this:lift n to ℕ using h with n rfl h
. - More generally, this can lift an expression from
α
toβ
assuming that there is an instance ofCanLift α β
. In this case the proof obligation is specified byCanLift.prf
. - Given an instance
CanLift β γ
, it can also liftα → β
toα → γ
; more generally, givenβ : Π a : α, Type*
,γ : Π a : α, Type*
, and[Π a : α, CanLift (β a) (γ a)]
, it automatically generates an instanceCanLift (Π a, β a) (Π a, γ a)
.
lift
is in some sense dual to the zify
tactic. lift (z : ℤ) to ℕ
will change the type of an
integer z
(in the supertype) to ℕ
(the subtype), given a proof that z ≥ 0
;
propositions concerning z
will still be over ℤ
. zify
changes propositions about ℕ
(the
subtype) to propositions about ℤ
(the supertype), without changing the type of any variable.
lift_lets
Defined in: Mathlib.Tactic.lift_lets
Lift all the let
bindings in the type of an expression as far out as possible.
When applied to the main goal, this gives one the ability to intro
embedded let
expressions.
For example,
example : (let x := 1; x) = 1 := by
lift_lets
-- ⊢ let x := 1; x = 1
intro x
sorry
During the lifting process, let bindings are merged if they have the same type and value.
liftable_prefixes
Defined in: Mathlib.Tactic.Coherence.liftable_prefixes
Internal tactic used in coherence
.
Rewrites an equation f = g
as f₀ ≫ f₁ = g₀ ≫ g₁
,
where f₀
and g₀
are maximal prefixes of f
and g
(possibly after reassociating)
which are "liftable" (i.e. expressible as compositions of unitors and associators).
linarith
Defined in: linarith
linarith
attempts to find a contradiction between hypotheses that are linear (in)equalities.
Equivalently, it can prove a linear inequality by assuming its negation and proving False
.
In theory, linarith
should prove any goal that is true in the theory of linear arithmetic over
the rationals. While there is some special handling for non-dense orders like Nat
and Int
,
this tactic is not complete for these theories and will not prove every true goal. It will solve
goals over arbitrary types that instantiate LinearOrderedCommRing
.
An example:
example (x y z : ℚ) (h1 : 2*x < 3*y) (h2 : -4*x + 2*z < 0)
(h3 : 12*y - 4* z < 0) : False :=
by linarith
linarith
will use all appropriate hypotheses and the negation of the goal, if applicable.
linarith [t1, t2, t3]
will additionally use proof terms t1, t2, t3
.
linarith only [h1, h2, h3, t1, t2, t3]
will use only the goal (if relevant), local hypotheses
h1
, h2
, h3
, and proofs t1
, t2
, t3
. It will ignore the rest of the local context.
linarith!
will use a stronger reducibility setting to try to identify atoms. For example,
example (x : ℚ) : id x ≥ x :=
by linarith
will fail, because linarith
will not identify x
and id x
. linarith!
will.
This can sometimes be expensive.
linarith (config := { .. })
takes a config object with five
optional arguments:
discharger
specifies a tactic to be used for reducing an algebraic equation in the proof stage. The default isring
. Other options includesimp
for basic problems.transparency
controls how hardlinarith
will try to match atoms to each other. By default it will only unfoldreducible
definitions.- If
split_hypotheses
is true,linarith
will split conjunctions in the context into separate hypotheses. - If
exfalso
is false,linarith
will fail when the goal is neither an inequality norfalse
. (True by default.) restrict_type
(not yet implemented in mathlib4) will only use hypotheses that are inequalities overtp
. This is useful if you have e.g. both integer and rational valued inequalities in the local context, which can sometimes confuse the tactic.
A variant, nlinarith
, does some basic preprocessing to handle some nonlinear goals.
The option set_option trace.linarith true
will trace certain intermediate stages of the linarith
routine.
linarith!
Defined in: tacticLinarith!_
linarith
attempts to find a contradiction between hypotheses that are linear (in)equalities.
Equivalently, it can prove a linear inequality by assuming its negation and proving False
.
In theory, linarith
should prove any goal that is true in the theory of linear arithmetic over
the rationals. While there is some special handling for non-dense orders like Nat
and Int
,
this tactic is not complete for these theories and will not prove every true goal. It will solve
goals over arbitrary types that instantiate LinearOrderedCommRing
.
An example:
example (x y z : ℚ) (h1 : 2*x < 3*y) (h2 : -4*x + 2*z < 0)
(h3 : 12*y - 4* z < 0) : False :=
by linarith
linarith
will use all appropriate hypotheses and the negation of the goal, if applicable.
linarith [t1, t2, t3]
will additionally use proof terms t1, t2, t3
.
linarith only [h1, h2, h3, t1, t2, t3]
will use only the goal (if relevant), local hypotheses
h1
, h2
, h3
, and proofs t1
, t2
, t3
. It will ignore the rest of the local context.
linarith!
will use a stronger reducibility setting to try to identify atoms. For example,
example (x : ℚ) : id x ≥ x :=
by linarith
will fail, because linarith
will not identify x
and id x
. linarith!
will.
This can sometimes be expensive.
linarith (config := { .. })
takes a config object with five
optional arguments:
discharger
specifies a tactic to be used for reducing an algebraic equation in the proof stage. The default isring
. Other options includesimp
for basic problems.transparency
controls how hardlinarith
will try to match atoms to each other. By default it will only unfoldreducible
definitions.- If
split_hypotheses
is true,linarith
will split conjunctions in the context into separate hypotheses. - If
exfalso
is false,linarith
will fail when the goal is neither an inequality norfalse
. (True by default.) restrict_type
(not yet implemented in mathlib4) will only use hypotheses that are inequalities overtp
. This is useful if you have e.g. both integer and rational valued inequalities in the local context, which can sometimes confuse the tactic.
A variant, nlinarith
, does some basic preprocessing to handle some nonlinear goals.
The option set_option trace.linarith true
will trace certain intermediate stages of the linarith
routine.
linear_combination
Defined in: Mathlib.Tactic.LinearCombination.linearCombination
linear_combination
attempts to simplify the target by creating a linear combination
of a list of equalities and subtracting it from the target.
The tactic will create a linear
combination by adding the equalities together from left to right, so the order
of the input hypotheses does matter. If the normalize
field of the
configuration is set to false, then the tactic will simply set the user up to
prove their target using the linear combination instead of normalizing the subtraction.
Note: The left and right sides of all the equalities should have the same
type, and the coefficients should also have this type. There must be
instances of Mul
and AddGroup
for this type.
- The input
e
inlinear_combination e
is a linear combination of proofs of equalities, given as a sum/difference of coefficients multiplied by expressions. The coefficients may be arbitrary expressions. The expressions can be arbitrary proof terms proving equalities. Most commonly they are hypothesis namesh1, h2, ...
. linear_combination (norm := tac) e
runs the "normalization tactic"tac
on the subgoal(s) after constructing the linear combination.- The default normalization tactic is
ring1
, which closes the goal or fails. - To get a subgoal in the case that it is not immediately provable, use
ring_nf
as the normalization tactic. - To avoid normalization entirely, use
skip
as the normalization tactic.
- The default normalization tactic is
linear_combination2 e
is the same aslinear_combination e
but it produces two subgoals instead of one: rather than proving that(a - b) - (a' - b') = 0
wherea' = b'
is the linear combination frome
anda = b
is the goal, it instead attempts to provea = a'
andb = b'
. Because it does not use subtraction, this form is applicable also to semirings.- Note that a goal which is provable by
linear_combination e
may not be provable bylinear_combination2 e
; in general you may need to add a coefficient toe
to make both sides match, as inlinear_combination2 e + c
. - You can also reverse equalities using
← h
, so for example ifh₁ : a = b
then2 * (← h)
is a proof of2 * b = 2 * a
.
- Note that a goal which is provable by
Example Usage:
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination 1*h1 - 2*h2
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination h1 - 2*h2
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination (norm := ring_nf) -2*h2
/- Goal: x * y + x * 2 - 1 = 0 -/
example (x y z : ℝ) (ha : x + 2*y - z = 4) (hb : 2*x + y + z = -2)
(hc : x + 2*y + z = 2) :
-3*x - 3*y - 4*z = 2 := by
linear_combination ha - hb - 2*hc
example (x y : ℚ) (h1 : x + y = 3) (h2 : 3*x = 7) :
x*x*y + y*x*y + 6*x = 3*x*y + 14 := by
linear_combination x*y*h1 + 2*h2
example (x y : ℤ) (h1 : x = -3) (h2 : y = 10) : 2*x = -6 := by
linear_combination (norm := skip) 2*h1
simp
axiom qc : ℚ
axiom hqc : qc = 2*qc
example (a b : ℚ) (h : ∀ p q : ℚ, p = q) : 3*a + qc = 3*b + 2*qc := by
linear_combination 3 * h a b + hqc
linear_combination2
Defined in: Mathlib.Tactic.LinearCombination.tacticLinear_combination2____
linear_combination
attempts to simplify the target by creating a linear combination
of a list of equalities and subtracting it from the target.
The tactic will create a linear
combination by adding the equalities together from left to right, so the order
of the input hypotheses does matter. If the normalize
field of the
configuration is set to false, then the tactic will simply set the user up to
prove their target using the linear combination instead of normalizing the subtraction.
Note: The left and right sides of all the equalities should have the same
type, and the coefficients should also have this type. There must be
instances of Mul
and AddGroup
for this type.
- The input
e
inlinear_combination e
is a linear combination of proofs of equalities, given as a sum/difference of coefficients multiplied by expressions. The coefficients may be arbitrary expressions. The expressions can be arbitrary proof terms proving equalities. Most commonly they are hypothesis namesh1, h2, ...
. linear_combination (norm := tac) e
runs the "normalization tactic"tac
on the subgoal(s) after constructing the linear combination.- The default normalization tactic is
ring1
, which closes the goal or fails. - To get a subgoal in the case that it is not immediately provable, use
ring_nf
as the normalization tactic. - To avoid normalization entirely, use
skip
as the normalization tactic.
- The default normalization tactic is
linear_combination2 e
is the same aslinear_combination e
but it produces two subgoals instead of one: rather than proving that(a - b) - (a' - b') = 0
wherea' = b'
is the linear combination frome
anda = b
is the goal, it instead attempts to provea = a'
andb = b'
. Because it does not use subtraction, this form is applicable also to semirings.- Note that a goal which is provable by
linear_combination e
may not be provable bylinear_combination2 e
; in general you may need to add a coefficient toe
to make both sides match, as inlinear_combination2 e + c
. - You can also reverse equalities using
← h
, so for example ifh₁ : a = b
then2 * (← h)
is a proof of2 * b = 2 * a
.
- Note that a goal which is provable by
Example Usage:
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination 1*h1 - 2*h2
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination h1 - 2*h2
example (x y : ℤ) (h1 : x*y + 2*x = 1) (h2 : x = y) : x*y = -2*y + 1 := by
linear_combination (norm := ring_nf) -2*h2
/- Goal: x * y + x * 2 - 1 = 0 -/
example (x y z : ℝ) (ha : x + 2*y - z = 4) (hb : 2*x + y + z = -2)
(hc : x + 2*y + z = 2) :
-3*x - 3*y - 4*z = 2 := by
linear_combination ha - hb - 2*hc
example (x y : ℚ) (h1 : x + y = 3) (h2 : 3*x = 7) :
x*x*y + y*x*y + 6*x = 3*x*y + 14 := by
linear_combination x*y*h1 + 2*h2
example (x y : ℤ) (h1 : x = -3) (h2 : y = 10) : 2*x = -6 := by
linear_combination (norm := skip) 2*h1
simp
axiom qc : ℚ
axiom hqc : qc = 2*qc
example (a b : ℚ) (h : ∀ p q : ℚ, p = q) : 3*a + qc = 3*b + 2*qc := by
linear_combination 3 * h a b + hqc
map_tacs
Defined in: Std.Tactic.«tacticMap_tacs[_;]»
Assuming there are n
goals, map_tacs [t1; t2; ...; tn]
applies each ti
to the respective
goal and leaves the resulting subgoals.
match
Defined in: Std.Tactic.«tacticMatch_,,With.»
The syntax match x with.
is a variant of nomatch x
which supports pattern matching on multiple
discriminants, like regular match
, and simply has no alternatives in the match.
match_target
Defined in: Mathlib.Tactic.tacticMatch_target_
measurability
Defined in: tacticMeasurability_
The tactic measurability
solves goals of the form Measurable f
, AEMeasurable f
,
StronglyMeasurable f
, AEStronglyMeasurable f μ
, or MeasurableSet s
by applying lemmas tagged
with the measurability
user attribute.
measurability!
Defined in: measurability!
measurability!?
Defined in: measurability!?
measurability?
Defined in: tacticMeasurability?_
The tactic measurability?
solves goals of the form Measurable f
, AEMeasurable f
,
StronglyMeasurable f
, AEStronglyMeasurable f μ
, or MeasurableSet s
by applying lemmas tagged
with the measurability
user attribute, and suggests a faster proof script that can be substituted
for the tactic call in case of success.
mfld_set_tac
Defined in: Tactic.MfldSetTac.mfldSetTac
A very basic tactic to show that sets showing up in manifolds coincide or are included in one another.
mod_cases
Defined in: Mathlib.Tactic.ModCases.«tacticMod_cases_:_%_»
- The tactic
mod_cases h : e % 3
will perform a case disjunction one : ℤ
and yield subgoals containing the assumptionsh : e ≡ 0 [ZMOD 3]
,h : e ≡ 1 [ZMOD 3]
,h : e ≡ 2 [ZMOD 3]
respectively. - In general,
mod_cases h : e % n
works whenn
is a positive numeral ande
is an expression of typeℤ
. - If
h
is omitted as inmod_cases e % n
, it will be default-namedH
.
mono
Defined in: Mathlib.Tactic.Monotonicity.mono
mono
applies monotonicity rules and local hypotheses repetitively. For example,
example (x y z k : ℤ)
(h : 3 ≤ (4 : ℤ))
(h' : z ≤ y) :
(k + 3 + x) - y ≤ (k + 4 + x) - z := by
mono
monoidal_coherence
Defined in: Mathlib.Tactic.Coherence.tacticMonoidal_coherence
Coherence tactic for monoidal categories.
Use pure_coherence
instead, which is a frontend to this one.
next
Defined in: Lean.Parser.Tactic.«tacticNext_=>_»
next => tac
focuses on the next goal and solves it using tac
, or else fails.
next x₁ ... xₙ => tac
additionally renames the n
most recent hypotheses with
inaccessible names to the given names.
nlinarith
Defined in: nlinarith
An extension of linarith
with some preprocessing to allow it to solve some nonlinear arithmetic
problems. (Based on Coq's nra
tactic.) See linarith
for the available syntax of options,
which are inherited by nlinarith
; that is, nlinarith!
and nlinarith only [h1, h2]
all work as
in linarith
. The preprocessing is as follows:
- For every subterm
a ^ 2
ora * a
in a hypothesis or the goal, the assumption0 ≤ a ^ 2
or0 ≤ a * a
is added to the context. - For every pair of hypotheses
a1 R1 b1
,a2 R2 b2
in the context,R1, R2 ∈ {<, ≤, =}
, the assumption0 R' (b1 - a1) * (b2 - a2)
is added to the context (non-recursively), whereR ∈ {<, ≤, =}
is the appropriate comparison derived fromR1, R2
.
nlinarith!
Defined in: tacticNlinarith!_
An extension of linarith
with some preprocessing to allow it to solve some nonlinear arithmetic
problems. (Based on Coq's nra
tactic.) See linarith
for the available syntax of options,
which are inherited by nlinarith
; that is, nlinarith!
and nlinarith only [h1, h2]
all work as
in linarith
. The preprocessing is as follows:
- For every subterm
a ^ 2
ora * a
in a hypothesis or the goal, the assumption0 ≤ a ^ 2
or0 ≤ a * a
is added to the context. - For every pair of hypotheses
a1 R1 b1
,a2 R2 b2
in the context,R1, R2 ∈ {<, ≤, =}
, the assumption0 R' (b1 - a1) * (b2 - a2)
is added to the context (non-recursively), whereR ∈ {<, ≤, =}
is the appropriate comparison derived fromR1, R2
.
noncomm_ring
Defined in: Mathlib.Tactic.NoncommRing.noncomm_ring
A tactic for simplifying identities in not-necessarily-commutative rings.
An example:
example {R : Type*} [Ring R] (a b c : R) : a * (b + c + c - b) = 2*a*c :=
by noncomm_ring
nontriviality
Defined in: Mathlib.Tactic.Nontriviality.nontriviality
Attempts to generate a Nontrivial α
hypothesis.
The tactic first looks for an instance using infer_instance
.
If the goal is an (in)equality, the type α
is inferred from the goal.
Otherwise, the type needs to be specified in the tactic invocation, as nontriviality α
.
The nontriviality
tactic will first look for strict inequalities amongst the hypotheses,
and use these to derive the Nontrivial
instance directly.
Otherwise, it will perform a case split on Subsingleton α ∨ Nontrivial α
, and attempt to discharge
the Subsingleton
goal using simp [h₁, h₂, ..., hₙ, nontriviality]
, where [h₁, h₂, ..., hₙ]
is
a list of additional simp
lemmas that can be passed to nontriviality
using the syntax
nontriviality α using h₁, h₂, ..., hₙ
.
example {R : Type} [OrderedRing R] {a : R} (h : 0 < a) : 0 < a := by
nontriviality -- There is now a `nontrivial R` hypothesis available.
assumption
example {R : Type} [CommRing R] {r s : R} : r * s = s * r := by
nontriviality -- There is now a `nontrivial R` hypothesis available.
apply mul_comm
example {R : Type} [OrderedRing R] {a : R} (h : 0 < a) : (2 : ℕ) ∣ 4 := by
nontriviality R -- there is now a `nontrivial R` hypothesis available.
dec_trivial
def myeq {α : Type} (a b : α) : Prop := a = b
example {α : Type} (a b : α) (h : a = b) : myeq a b := by
success_if_fail nontriviality α -- Fails
nontriviality α using myeq -- There is now a `nontrivial α` hypothesis available
assumption
norm_cast
Defined in: Tactic.NormCast.tacticNorm_cast_
Normalize casts at the given locations by moving them "upwards".
norm_cast0
Defined in: Tactic.NormCast.tacticNorm_cast0_
norm_num
Defined in: Mathlib.Tactic.normNum
Normalize numerical expressions. Supports the operations +
-
*
/
⁻¹
^
and %
over numerical types such as ℕ
, ℤ
, ℚ
, ℝ
, ℂ
and some general algebraic types,
and can prove goals of the form A = B
, A ≠ B
, A < B
and A ≤ B
, where A
and B
are
numerical expressions. It also has a relatively simple primality prover.
norm_num1
Defined in: Mathlib.Tactic.normNum1
Basic version of norm_num
that does not call simp
.
nth_rewrite
Defined in: Mathlib.Tactic.nthRewriteSeq
nth_rewrite
is a variant of rewrite
that only changes the nth occurrence of the expression
to be rewritten.
Note: The occurrences are counted beginning with 1
and not 0
, this is different than in
mathlib3. The translation will be handled by mathport.
nth_rw
Defined in: Mathlib.Tactic.nthRwSeq
nth_rw
is like nth_rewrite
, but also tries to close the goal by trying rfl
afterwards.
observe
Defined in: Mathlib.Tactic.LibrarySearch.observe
observe hp : p
asserts the proposition p
, and tries to prove it using exact?
.
If no proof is found, the tactic fails.
In other words, this tactic is equivalent to have hp : p := by exact?
.
If hp
is omitted, then the placeholder this
is used.
The variant observe? hp : p
will emit a trace message of the form have hp : p := proof_term
.
This may be particularly useful to speed up proofs.
observe?
Defined in: Mathlib.Tactic.LibrarySearch.«tacticObserve?__:_Using__,,»
observe hp : p
asserts the proposition p
, and tries to prove it using exact?
.
If no proof is found, the tactic fails.
In other words, this tactic is equivalent to have hp : p := by exact?
.
If hp
is omitted, then the placeholder this
is used.
The variant observe? hp : p
will emit a trace message of the form have hp : p := proof_term
.
This may be particularly useful to speed up proofs.
observe?
Defined in: Mathlib.Tactic.LibrarySearch.«tacticObserve?__:_»
observe hp : p
asserts the proposition p
, and tries to prove it using exact?
.
If no proof is found, the tactic fails.
In other words, this tactic is equivalent to have hp : p := by exact?
.
If hp
is omitted, then the placeholder this
is used.
The variant observe? hp : p
will emit a trace message of the form have hp : p := proof_term
.
This may be particularly useful to speed up proofs.
obtain
Defined in: Std.Tactic.obtain
The obtain
tactic is a combination of have
and rcases
. See rcases
for
a description of supported patterns.
obtain ⟨patt⟩ : type := proof
is equivalent to
have h : type := proof
rcases h with ⟨patt⟩
If ⟨patt⟩
is omitted, rcases
will try to infer the pattern.
If type
is omitted, := proof
is required.
on_goal
Defined in: Mathlib.Tactic.«tacticOn_goal-_=>_»
on_goal n => tacSeq
creates a block scope for the n
-th goal and tries the sequence
of tactics tacSeq
on it.
on_goal -n => tacSeq
does the same, but the n
-th goal is chosen by counting from the
bottom.
The goal is not required to be solved and any resulting subgoals are inserted back into the list of goals, replacing the chosen goal.
on_goal
Defined in: Aesop.Parser.onGoal
pick_goal
Defined in: Mathlib.Tactic.«tacticPick_goal-_»
pick_goal n
will move the n
-th goal to the front.
pick_goal -n
will move the n
-th goal (counting from the bottom) to the front.
See also Tactic.rotate_goals
, which moves goals from the front to the back and vice-versa.
polyrith
Defined in: Mathlib.Tactic.Polyrith.«tacticPolyrithOnly[_]»
Attempts to prove polynomial equality goals through polynomial arithmetic
on the hypotheses (and additional proof terms if the user specifies them).
It proves the goal by generating an appropriate call to the tactic
linear_combination
. If this call succeeds, the call to linear_combination
is suggested to the user.
polyrith
will use all relevant hypotheses in the local context.polyrith [t1, t2, t3]
will add proof terms t1, t2, t3 to the local context.polyrith only [h1, h2, h3, t1, t2, t3]
will use only local hypothesesh1
,h2
,h3
, and proofst1
,t2
,t3
. It will ignore the rest of the local context.
Notes:
- This tactic only works with a working internet connection, since it calls Sage using the SageCell web API at https://sagecell.sagemath.org/. Many thanks to the Sage team and organization for allowing this use.
- This tactic assumes that the user has
python3
installed and available on the path. (Test by opening a terminal and executingpython3 --version
.) It also assumes that therequests
library is installed:python3 -m pip install requests
.
Examples:
example (x y : ℚ) (h1 : x*y + 2*x = 1) (h2 : x = y) :
x*y = -2*y + 1 :=
by polyrith
-- Try this: linear_combination h1 - 2 * h2
example (x y z w : ℚ) (hzw : z = w) : x*z + 2*y*z = x*w + 2*y*w :=
by polyrith
-- Try this: linear_combination (2 * y + x) * hzw
constant scary : ∀ a b : ℚ, a + b = 0
example (a b c d : ℚ) (h : a + b = 0) (h2: b + c = 0) : a + b + c + d = 0 :=
by polyrith only [scary c d, h]
-- Try this: linear_combination scary c d + h
positivity
Defined in: Mathlib.Tactic.Positivity.positivity
Tactic solving goals of the form 0 ≤ x
, 0 < x
and x ≠ 0
. The tactic works recursively
according to the syntax of the expression x
, if the atoms composing the expression all have
numeric lower bounds which can be proved positive/nonnegative/nonzero by norm_num
. This tactic
either closes the goal or fails.
Examples:
example {a : ℤ} (ha : 3 < a) : 0 ≤ a ^ 3 + a := by positivity
example {a : ℤ} (ha : 1 < a) : 0 < |(3:ℤ) + a| := by positivity
example {b : ℤ} : 0 ≤ max (-3) (b ^ 2) := by positivity
pure_coherence
Defined in: Mathlib.Tactic.Coherence.pure_coherence
pure_coherence
uses the coherence theorem for monoidal categories to prove the goal.
It can prove any equality made up only of associators, unitors, and identities.
example {C : Type} [Category C] [MonoidalCategory C] :
(λ_ (𝟙_ C)).hom = (ρ_ (𝟙_ C)).hom :=
by pure_coherence
Users will typically just use the coherence
tactic,
which can also cope with identities of the form
a ≫ f ≫ b ≫ g ≫ c = a' ≫ f ≫ b' ≫ g ≫ c'
where a = a'
, b = b'
, and c = c'
can be proved using pure_coherence
push_cast
Defined in: Tactic.NormCast.pushCast
push_neg
Defined in: Mathlib.Tactic.PushNeg.tacticPush_neg_
Push negations into the conclusion of a hypothesis.
For instance, a hypothesis h : ¬ ∀ x, ∃ y, x ≤ y
will be transformed by push_neg at h
into
h : ∃ x, ∀ y, y < x
. Variable names are conserved.
This tactic pushes negations inside expressions. For instance, given a hypothesis
h : ¬ ∀ ε > 0, ∃ δ > 0, ∀ x, |x - x₀| ≤ δ → |f x - y₀| ≤ ε)
writing push_neg at h
will turn h
into
h : ∃ ε, ε > 0 ∧ ∀ δ, δ > 0 → (∃ x, |x - x₀| ≤ δ ∧ ε < |f x - y₀|),
(The pretty printer does not use the abbreviations ∀ δ > 0
and ∃ ε > 0
but this issue
has nothing to do with push_neg
).
Note that names are conserved by this tactic, contrary to what would happen with simp
using the relevant lemmas. One can also use this tactic at the goal using push_neg
,
at every hypothesis and the goal using push_neg at *
or at selected hypotheses and the goal
using say push_neg at h h' ⊢
as usual.
This tactic has two modes: in standard mode, it transforms ¬(p ∧ q)
into p → ¬q
, whereas in
distrib mode it produces ¬p ∨ ¬q
. To use distrib mode, use set_option push_neg.use_distrib true
.
qify
Defined in: Mathlib.Tactic.Qify.qify
The qify
tactic is used to shift propositions from ℕ
or ℤ
to ℚ
.
This is often useful since ℚ
has well-behaved division.
example (a b c x y z : ℕ) (h : ¬ x*y*z < 0) : c < a + 3*b := by
qify
qify at h
/-
h : ¬↑x * ↑y * ↑z < 0
⊢ ↑c < ↑a + 3 * ↑b
-/
sorry
qify
can be given extra lemmas to use in simplification. This is especially useful in the
presence of nat subtraction: passing ≤
arguments will allow push_cast
to do more work.
example (a b c : ℤ) (h : a / b = c) (hab : b ∣ a) (hb : b ≠ 0) : a = c * b := by
qify [hab] at h hb ⊢
exact (div_eq_iff hb).1 h
qify
makes use of the @[zify_simps]
and @[qify_simps]
attributes to move propositions,
and the push_cast
tactic to simplify the ℚ
-valued expressions.
rcases
Defined in: Std.Tactic.rcases
rcases
is a tactic that will perform cases
recursively, according to a pattern. It is used to
destructure hypotheses or expressions composed of inductive types like h1 : a ∧ b ∧ c ∨ d
or
h2 : ∃ x y, trans_rel R x y
. Usual usage might be rcases h1 with ⟨ha, hb, hc⟩ | hd
or
rcases h2 with ⟨x, y, _ | ⟨z, hxz, hzy⟩⟩
for these examples.
Each element of an rcases
pattern is matched against a particular local hypothesis (most of which
are generated during the execution of rcases
and represent individual elements destructured from
the input expression). An rcases
pattern has the following grammar:
- A name like
x
, which names the active hypothesis asx
. - A blank
_
, which does nothing (letting the automatic naming system used bycases
name the hypothesis). - A hyphen
-
, which clears the active hypothesis and any dependents. - The keyword
rfl
, which expects the hypothesis to beh : a = b
, and callssubst
on the hypothesis (which has the effect of replacingb
witha
everywhere or vice versa). - A type ascription
p : ty
, which sets the type of the hypothesis toty
and then matches it againstp
. (Of course,ty
must unify with the actual type ofh
for this to work.) - A tuple pattern
⟨p1, p2, p3⟩
, which matches a constructor with many arguments, or a series of nested conjunctions or existentials. For example if the active hypothesis isa ∧ b ∧ c
, then the conjunction will be destructured, andp1
will be matched againsta
,p2
againstb
and so on. - A
@
before a tuple pattern as in@⟨p1, p2, p3⟩
will bind all arguments in the constructor, while leaving the@
off will only use the patterns on the explicit arguments. - An alteration pattern
p1 | p2 | p3
, which matches an inductive type with multiple constructors, or a nested disjunction likea ∨ b ∨ c
.
A pattern like ⟨a, b, c⟩ | ⟨d, e⟩
will do a split over the inductive datatype,
naming the first three parameters of the first constructor as a,b,c
and the
first two of the second constructor d,e
. If the list is not as long as the
number of arguments to the constructor or the number of constructors, the
remaining variables will be automatically named. If there are nested brackets
such as ⟨⟨a⟩, b | c⟩ | d
then these will cause more case splits as necessary.
If there are too many arguments, such as ⟨a, b, c⟩
for splitting on
∃ x, ∃ y, p x
, then it will be treated as ⟨a, ⟨b, c⟩⟩
, splitting the last
parameter as necessary.
rcases
also has special support for quotient types: quotient induction into Prop works like
matching on the constructor quot.mk
.
rcases h : e with PAT
will do the same as rcases e with PAT
with the exception that an
assumption h : e = PAT
will be added to the context.
rcongr
Defined in: Std.Tactic.rcongr
Repeatedly apply congr
and ext
, using the given patterns as arguments for ext
.
There are two ways this tactic stops:
congr
fails (makes no progress), after having already appliedext
.congr
canceled out the last usage ofext
. In this case, the state is reverted to before thecongr
was applied.
For example, when the goal is
⊢ (fun x => f x + 3) '' s = (fun x => g x + 3) '' s
then rcongr x
produces the goal
x : α ⊢ f x = g x
This gives the same result as congr; ext x; congr
.
In contrast, congr
would produce
⊢ (fun x => f x + 3) = (fun x => g x + 3)
and congr with x
(or congr; ext x
) would produce
x : α ⊢ f x + 3 = g x + 3
recover
Defined in: Mathlib.Tactic.tacticRecover_
Modifier recover
for a tactic (sequence) to debug cases where goals are closed incorrectly.
The tactic recover tacs
for a tactic (sequence) tacs applies the tactics and then adds goals
that are not closed starting from the original
reduce
Defined in: Mathlib.Tactic.tacticReduce__
reduce at loc
completely reduces the given location.
This also exists as a conv
-mode tactic.
This does the same transformation as the #reduce
command.
refine
Defined in: Lean.Parser.Tactic.refine
refine e
behaves like exact e
, except that named (?x
) or unnamed (?_
)
holes in e
that are not solved by unification with the main goal's target type
are converted into new goals, using the hole's name, if any, as the goal case name.
refine'
Defined in: Lean.Parser.Tactic.refine'
refine' e
behaves like refine e
, except that unsolved placeholders (_
)
and implicit parameters are also converted into new goals.
refine_lift
Defined in: Lean.Parser.Tactic.tacticRefine_lift_
Auxiliary macro for lifting have/suffices/let/...
It makes sure the "continuation" ?_
is the main goal after refining.
refine_lift'
Defined in: Lean.Parser.Tactic.tacticRefine_lift'_
Similar to refine_lift
, but using refine'
rel
Defined in: Mathlib.Tactic.GCongr.«tacticRel[_]»
The rel
tactic applies "generalized congruence" rules to solve a relational goal by
"substitution". For example,
example {a b x c d : ℝ} (h1 : a ≤ b) (h2 : c ≤ d) :
x ^ 2 * a + c ≤ x ^ 2 * b + d := by
rel [h1, h2]
In this example we "substitute" the hypotheses a ≤ b
and c ≤ d
into the LHS x ^ 2 * a + c
of
the goal and obtain the RHS x ^ 2 * b + d
, thus proving the goal.
The "generalized congruence" rules used are the library lemmas which have been tagged with the
attribute @[gcongr]
. For example, the first example constructs the proof term
add_le_add (mul_le_mul_of_nonneg_left h1 (pow_bit0_nonneg x 1)) h2
using the generalized congruence lemmas add_le_add
and mul_le_mul_of_nonneg_left
. If there are
no applicable generalized congruence lemmas, the tactic fails.
The tactic attempts to discharge side goals to these "generalized congruence" lemmas (such as the
side goal 0 ≤ x ^ 2
in the above application of mul_le_mul_of_nonneg_left
) using the tactic
gcongr_discharger
, which wraps positivity
but can also be extended. If the side goals cannot
be discharged in this way, the tactic fails.
rename
Defined in: Lean.Parser.Tactic.rename
rename t => x
renames the most recent hypothesis whose type matches t
(which may contain placeholders) to x
, or fails if no such hypothesis could be found.
rename'
Defined in: Mathlib.Tactic.rename'
rename' h => hnew
renames the hypothesis named h
to hnew
.
To rename several hypothesis, use rename' h₁ => h₁new, h₂ => h₂new
.
You can use rename' a => b, b => a
to swap two variables.
rename_bvar
Defined in: Mathlib.Tactic.«tacticRename_bvar_→__»
rename_bvar old new
renames all bound variables namedold
tonew
in the target.rename_bvar old new at h
does the same in hypothesish
.
example (P : ℕ → ℕ → Prop) (h : ∀ n, ∃ m, P n m) : ∀ l, ∃ m, P l m :=
begin
rename_bvar n q at h, -- h is now ∀ (q : ℕ), ∃ (m : ℕ), P q m,
rename_bvar m n, -- target is now ∀ (l : ℕ), ∃ (n : ℕ), P k n,
exact h -- Lean does not care about those bound variable names
end
Note: name clashes are resolved automatically.
rename_i
Defined in: Lean.Parser.Tactic.renameI
rename_i x_1 ... x_n
renames the last n
inaccessible names using the given names.
repeat
Defined in: Lean.Parser.Tactic.tacticRepeat_
repeat tac
repeatedly applies tac
to the main goal until it fails.
That is, if tac
produces multiple subgoals, only subgoals up to the first failure will be visited.
The Std
library provides repeat'
which repeats separately in each subgoal.
repeat'
Defined in: Std.Tactic.tacticRepeat'_
repeat' tac
runs tac
on all of the goals to produce a new list of goals,
then runs tac
again on all of those goals, and repeats until tac
fails on all remaining goals.
repeat1
Defined in: Std.Tactic.tacticRepeat1_
repeat1 tac
applies tac
to main goal at least once. If the application succeeds,
the tactic is applied recursively to the generated subgoals until it eventually fails.
repeat1
Defined in: Mathlib.Tactic.tacticRepeat1_
repeat1 tac
applies tac
to main goal at least once. If the application succeeds,
the tactic is applied recursively to the generated subgoals until it eventually fails.
replace
Defined in: Mathlib.Tactic.replace'
Acts like have
, but removes a hypothesis with the same name as
this one if possible. For example, if the state is:
Then after replace h : β
the state will be:
case h
f : α → β
h : α
⊢ β
f : α → β
h : β
⊢ goal
whereas have h : β
would result in:
case h
f : α → β
h : α
⊢ β
f : α → β
h✝ : α
h : β
⊢ goal
replace
Defined in: Std.Tactic.tacticReplace_
Acts like have
, but removes a hypothesis with the same name as
this one if possible. For example, if the state is:
f : α → β
h : α
⊢ goal
Then after replace h := f h
the state will be:
f : α → β
h : β
⊢ goal
whereas have h := f h
would result in:
f : α → β
h† : α
h : β
⊢ goal
This can be used to simulate the specialize
and apply at
tactics of Coq.
revert
Defined in: Lean.Parser.Tactic.revert
revert x...
is the inverse of intro x...
: it moves the given hypotheses
into the main goal's target type.
rewrite
Defined in: Lean.Parser.Tactic.rewriteSeq
rewrite [e]
applies identity e
as a rewrite rule to the target of the main goal.
If e
is preceded by left arrow (←
or <-
), the rewrite is applied in the reverse direction.
If e
is a defined constant, then the equational theorems associated with e
are used.
This provides a convenient way to unfold e
.
rewrite [e₁, ..., eₙ]
applies the given rules sequentially.rewrite [e] at l
rewritese
at location(s)l
, wherel
is either*
or a list of hypotheses in the local context. In the latter case, a turnstile⊢
or|-
can also be used, to signify the target of the goal.
rfl
Defined in: Lean.Parser.Tactic.tacticRfl
rfl
tries to close the current goal using reflexivity.
This is supposed to be an extensible tactic and users can add their own support
for new reflexive relations.
rfl'
Defined in: Lean.Parser.Tactic.tacticRfl'
rfl'
is similar to rfl
, but disables smart unfolding and unfolds all kinds of definitions,
theorems included (relevant for declarations defined by well-founded recursion).
right
Defined in: Mathlib.Tactic.tacticRight
ring
Defined in: Mathlib.Tactic.RingNF.ring
Tactic for evaluating expressions in commutative (semi)rings, allowing for variables in the exponent.
ring!
will use a more aggressive reducibility setting to determine equality of atoms.ring1
fails if the target is not an equality.
For example:
example (n : ℕ) (m : ℤ) : 2^(n+1) * m = 2 * 2^n * m := by ring
example (a b : ℤ) (n : ℕ) : (a + b)^(n + 2) = (a^2 + b^2 + a * b + b * a) * (a + b)^n := by ring
example (x y : ℕ) : x + id y = y + id x := by ring!
ring!
Defined in: Mathlib.Tactic.RingNF.tacticRing!
Tactic for evaluating expressions in commutative (semi)rings, allowing for variables in the exponent.
ring!
will use a more aggressive reducibility setting to determine equality of atoms.ring1
fails if the target is not an equality.
For example:
example (n : ℕ) (m : ℤ) : 2^(n+1) * m = 2 * 2^n * m := by ring
example (a b : ℤ) (n : ℕ) : (a + b)^(n + 2) = (a^2 + b^2 + a * b + b * a) * (a + b)^n := by ring
example (x y : ℕ) : x + id y = y + id x := by ring!
ring1
Defined in: Mathlib.Tactic.Ring.ring1
Tactic for solving equations of commutative (semi)rings, allowing variables in the exponent.
- This version of
ring
fails if the target is not an equality. - The variant
ring1!
will use a more aggressive reducibility setting to determine equality of atoms.
ring1!
Defined in: Mathlib.Tactic.Ring.tacticRing1!
Tactic for solving equations of commutative (semi)rings, allowing variables in the exponent.
- This version of
ring
fails if the target is not an equality. - The variant
ring1!
will use a more aggressive reducibility setting to determine equality of atoms.
ring1_nf
Defined in: Mathlib.Tactic.RingNF.ring1NF
Tactic for solving equations of commutative (semi)rings, allowing variables in the exponent.
- This version of
ring1
usesring_nf
to simplify in atoms. - The variant
ring1_nf!
will use a more aggressive reducibility setting to determine equality of atoms.
ring1_nf!
Defined in: Mathlib.Tactic.RingNF.tacticRing1_nf!_
Tactic for solving equations of commutative (semi)rings, allowing variables in the exponent.
- This version of
ring1
usesring_nf
to simplify in atoms. - The variant
ring1_nf!
will use a more aggressive reducibility setting to determine equality of atoms.
ring_nf
Defined in: Mathlib.Tactic.RingNF.ringNF
Simplification tactic for expressions in the language of commutative (semi)rings, which rewrites all ring expressions into a normal form.
ring_nf!
will use a more aggressive reducibility setting to identify atoms.ring_nf (config := cfg)
allows for additional configuration:red
: the reducibility setting (overridden by!
)recursive
: if true,ring_nf
will also recurse into atoms
ring_nf
works as both a tactic and a conv tactic. In tactic mode,ring_nf at h
can be used to rewrite in a hypothesis.
ring_nf!
Defined in: Mathlib.Tactic.RingNF.tacticRing_nf!__
Simplification tactic for expressions in the language of commutative (semi)rings, which rewrites all ring expressions into a normal form.
ring_nf!
will use a more aggressive reducibility setting to identify atoms.ring_nf (config := cfg)
allows for additional configuration:red
: the reducibility setting (overridden by!
)recursive
: if true,ring_nf
will also recurse into atoms
ring_nf
works as both a tactic and a conv tactic. In tactic mode,ring_nf at h
can be used to rewrite in a hypothesis.
rintro
Defined in: Std.Tactic.rintro
The rintro
tactic is a combination of the intros
tactic with rcases
to
allow for destructuring patterns while introducing variables. See rcases
for
a description of supported patterns. For example, rintro (a | ⟨b, c⟩) ⟨d, e⟩
will introduce two variables, and then do case splits on both of them producing
two subgoals, one with variables a d e
and the other with b c d e
.
rintro
, unlike rcases
, also supports the form (x y : ty)
for introducing
and type-ascripting multiple variables at once, similar to binders.
rotate_left
Defined in: Lean.Parser.Tactic.rotateLeft
rotate_left n
rotates goals to the left by n
. That is, rotate_left 1
takes the main goal and puts it to the back of the subgoal list.
If n
is omitted, it defaults to 1
.
rotate_right
Defined in: Lean.Parser.Tactic.rotateRight
Rotate the goals to the right by n
. That is, take the goal at the back
and push it to the front n
times. If n
is omitted, it defaults to 1
.
rsuffices
Defined in: rsuffices
The rsuffices
tactic is an alternative version of suffices
, that allows the usage
of any syntax that would be valid in an obtain
block. This tactic just calls obtain
on the expression, and then rotate_left
.
run_tac
Defined in: Mathlib.RunCmd.runTac
The run_tac doSeq
tactic executes code in TacticM Unit
.
rw
Defined in: Lean.Parser.Tactic.rwSeq
rw
is like rewrite
, but also tries to close the goal by "cheap" (reducible) rfl
afterwards.
rw!?
Defined in: Mathlib.Tactic.Rewrites.tacticRw!?__
rw?
tries to find a lemma which can rewrite the goal.
rw?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as rw [h]
or rw [←h]
.
rw?!
is the "I'm feeling lucky" mode, and will run the first rewrite it finds.
rw?
Defined in: Mathlib.Tactic.Rewrites.rewrites'
rw?
tries to find a lemma which can rewrite the goal.
rw?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as rw [h]
or rw [←h]
.
rw?!
is the "I'm feeling lucky" mode, and will run the first rewrite it finds.
rw?!
Defined in: Mathlib.Tactic.Rewrites.tacticRw?!__
rw?
tries to find a lemma which can rewrite the goal.
rw?
should not be left in proofs; it is a search tool, like apply?
.
Suggestions are printed as rw [h]
or rw [←h]
.
rw?!
is the "I'm feeling lucky" mode, and will run the first rewrite it finds.
rw_mod_cast
Defined in: Tactic.NormCast.tacticRw_mod_cast___
Rewrite with the given rules and normalize casts between steps.
rwa
Defined in: Std.Tactic.tacticRwa__
rwa
calls rw
, then closes any remaining goals using assumption
.
save
Defined in: Lean.Parser.Tactic.save
save
is defined to be the same as skip
, but the elaborator has
special handling for occurrences of save
in tactic scripts and will transform
by tac1; save; tac2
to by (checkpoint tac1); tac2
, meaning that the effect of tac1
will be cached and replayed. This is useful for improving responsiveness
when working on a long tactic proof, by using save
after expensive tactics.
(TODO: do this automatically and transparently so that users don't have to use this combinator explicitly.)
set
Defined in: Mathlib.Tactic.setTactic
set!
Defined in: Mathlib.Tactic.tacticSet!_
show
Defined in: Lean.Parser.Tactic.tacticShow_
show t
finds the first goal whose target unifies with t
. It makes that the main goal,
performs the unification, and replaces the target with the unified version of t
.
show_term
Defined in: Std.Tactic.showTermTac
show_term tac
runs tac
, then prints the generated term in the form
"exact X Y Z" or "refine X ?_ Z" if there are remaining subgoals.
(For some tactics, the printed term will not be human readable.)
simp
Defined in: Lean.Parser.Tactic.simp
The simp
tactic uses lemmas and hypotheses to simplify the main goal target or
non-dependent hypotheses. It has many variants:
simp
simplifies the main goal target using lemmas tagged with the attribute[simp]
.simp [h₁, h₂, ..., hₙ]
simplifies the main goal target using the lemmas tagged with the attribute[simp]
and the givenhᵢ
's, where thehᵢ
's are expressions. If anhᵢ
is a defined constantf
, then the equational lemmas associated withf
are used. This provides a convenient way to unfoldf
.simp [*]
simplifies the main goal target using the lemmas tagged with the attribute[simp]
and all hypotheses.simp only [h₁, h₂, ..., hₙ]
is likesimp [h₁, h₂, ..., hₙ]
but does not use[simp]
lemmas.simp [-id₁, ..., -idₙ]
simplifies the main goal target using the lemmas tagged with the attribute[simp]
, but removes the ones namedidᵢ
.simp at h₁ h₂ ... hₙ
simplifies the hypothesesh₁ : T₁
...hₙ : Tₙ
. If the target or another hypothesis depends onhᵢ
, a new simplified hypothesishᵢ
is introduced, but the old one remains in the local context.simp at *
simplifies all the hypotheses and the target.simp [*] at *
simplifies target and all (propositional) hypotheses using the other hypotheses.
simp!
Defined in: Lean.Parser.Tactic.simpAutoUnfold
simp!
is shorthand for simp
with autoUnfold := true
.
This will rewrite with all equation lemmas, which can be used to
partially evaluate many definitions.
simp?
Defined in: Std.Tactic.simpTrace
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
simp?!
Defined in: Std.Tactic.tacticSimp?!_
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
simp_all
Defined in: Lean.Parser.Tactic.simpAll
simp_all
is a stronger version of simp [*] at *
where the hypotheses and target
are simplified multiple times until no simplication is applicable.
Only non-dependent propositional hypotheses are considered.
simp_all!
Defined in: Lean.Parser.Tactic.simpAllAutoUnfold
simp_all!
is shorthand for simp_all
with autoUnfold := true
.
This will rewrite with all equation lemmas, which can be used to
partially evaluate many definitions.
simp_all?
Defined in: Std.Tactic.simpAllTrace
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
simp_all?!
Defined in: Std.Tactic.tacticSimp_all?!_
simp?
takes the same arguments as simp
, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all
and dsimp
.
simp_all_arith
Defined in: Lean.Parser.Tactic.simpAllArith
simp_all_arith
combines the effects of simp_all
and simp_arith
.
simp_all_arith!
Defined in: Lean.Parser.Tactic.simpAllArithAutoUnfold
simp_all_arith!
combines the effects of simp_all
, simp_arith
and simp!
.
simp_arith
Defined in: Lean.Parser.Tactic.simpArith
simp_arith
is shorthand for simp
with arith := true
.
This enables the use of normalization by linear arithmetic.
simp_arith!
Defined in: Lean.Parser.Tactic.simpArithAutoUnfold
simp_arith!
is shorthand for simp_arith
with autoUnfold := true
.
This will rewrite with all equation lemmas, which can be used to
partially evaluate many definitions.
simp_intro
Defined in: Mathlib.Tactic.«tacticSimp_intro_____..Only_»
The simp_intro
tactic is a combination of simp
and intro
: it will simplify the types of
variables as it introduces them and uses the new variables to simplify later arguments
and the goal.
simp_intro x y z
introduces variables namedx y z
simp_intro x y z ..
introduces variables namedx y z
and then keeps introducing_
binderssimp_intro (config := cfg) (discharger := tac) x y .. only [h₁, h₂]
:simp_intro
takes the same options assimp
(seesimp
)
example : x + 0 = y → x = z := by
simp_intro h
-- h: x = y ⊢ y = z
sorry
simp_rw
Defined in: Mathlib.Tactic.tacticSimp_rw__
simp_rw
functions as a mix of simp
and rw
. Like rw
, it applies each
rewrite rule in the given order, but like simp
it repeatedly applies these
rules and also under binders like ∀ x, ...
, ∃ x, ...
and λ x, ...
.
Usage:
simp_rw [lemma_1, ..., lemma_n]
will rewrite the goal by applying the lemmas in that order. A lemma preceded by←
is applied in the reverse direction.simp_rw [lemma_1, ..., lemma_n] at h₁ ... hₙ
will rewrite the given hypotheses.simp_rw [...] at *
rewrites in the whole context: all hypotheses and the goal.
Lemmas passed to simp_rw
must be expressions that are valid arguments to simp
.
For example, neither simp
nor rw
can solve the following, but simp_rw
can:
example {a : ℕ}
(h1 : ∀ a b : ℕ, a - 1 ≤ b ↔ a ≤ b + 1)
(h2 : ∀ a b : ℕ, a ≤ b ↔ ∀ c, c < a → c < b) :
(∀ b, a - 1 ≤ b) = ∀ b c : ℕ, c < a → c < b + 1 :=
by simp_rw [h1, h2]
simp_wf
Defined in: tacticSimp_wf
Unfold definitions commonly used in well founded relation definitions.
This is primarily intended for internal use in decreasing_tactic
.
simpa
Defined in: Std.Tactic.Simpa.simpa
This is a "finishing" tactic modification of simp
. It has two forms.
simpa [rules, ⋯] using e
will simplify the goal and the type ofe
usingrules
, then try to close the goal usinge
.
Simplifying the type of e
makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]
will simplify the goal and the type of a hypothesisthis
if present in the context, then try to close the goal using theassumption
tactic.
#TODO: implement ?
simpa!
Defined in: Std.Tactic.Simpa.tacticSimpa!_
This is a "finishing" tactic modification of simp
. It has two forms.
simpa [rules, ⋯] using e
will simplify the goal and the type ofe
usingrules
, then try to close the goal usinge
.
Simplifying the type of e
makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]
will simplify the goal and the type of a hypothesisthis
if present in the context, then try to close the goal using theassumption
tactic.
#TODO: implement ?
simpa?
Defined in: Std.Tactic.Simpa.tacticSimpa?_
This is a "finishing" tactic modification of simp
. It has two forms.
simpa [rules, ⋯] using e
will simplify the goal and the type ofe
usingrules
, then try to close the goal usinge
.
Simplifying the type of e
makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]
will simplify the goal and the type of a hypothesisthis
if present in the context, then try to close the goal using theassumption
tactic.
#TODO: implement ?
simpa?!
Defined in: Std.Tactic.Simpa.tacticSimpa?!_
This is a "finishing" tactic modification of simp
. It has two forms.
simpa [rules, ⋯] using e
will simplify the goal and the type ofe
usingrules
, then try to close the goal usinge
.
Simplifying the type of e
makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]
will simplify the goal and the type of a hypothesisthis
if present in the context, then try to close the goal using theassumption
tactic.
#TODO: implement ?
sizeOf_list_dec
Defined in: List.tacticSizeOf_list_dec
This tactic, added to the decreasing_trivial
toolbox, proves that
sizeOf a < sizeOf as
when a ∈ as
, which is useful for well founded recursions
over a nested inductive like inductive T | mk : List T → T
.
skip
Defined in: Lean.Parser.Tactic.skip
skip
does nothing.
sleep
Defined in: Lean.Parser.Tactic.sleep
The tactic sleep ms
sleeps for ms
milliseconds and does nothing.
It is used for debugging purposes only.
slice_lhs
Defined in: sliceLHS
slice_lhs a b => tac
zooms to the left hand side, uses associativity for categorical
composition as needed, zooms in on the a
-th through b
-th morphisms, and invokes tac
.
slice_rhs
Defined in: sliceRHS
slice_rhs a b => tac
zooms to the right hand side, uses associativity for categorical
composition as needed, zooms in on the a
-th through b
-th morphisms, and invokes tac
.
slim_check
Defined in: slimCheckSyntax
slim_check
considers a proof goal and tries to generate examples
that would contradict the statement.
Let's consider the following proof goal.
xs : List ℕ,
h : ∃ (x : ℕ) (H : x ∈ xs), x < 3
⊢ ∀ (y : ℕ), y ∈ xs → y < 5
The local constants will be reverted and an instance will be found for
Testable (∀ (xs : List ℕ), (∃ x ∈ xs, x < 3) → (∀ y ∈ xs, y < 5))
.
The Testable
instance is supported by an instance of Sampleable (List ℕ)
,
Decidable (x < 3)
and Decidable (y < 5)
.
Examples will be created in ascending order of size (more or less)
The first counter-examples found will be printed and will result in an error:
===================
Found problems!
xs := [1, 28]
x := 1
y := 28
-------------------
If slim_check
successfully tests 100 examples, it acts like
admit. If it gives up or finds a counter-example, it reports an error.
For more information on writing your own Sampleable
and Testable
instances, see Testing.SlimCheck.Testable
.
Optional arguments given with slim_check (config : { ... })
numInst
(default 100): number of examples to test properties withmaxSize
(default 100): final size argument
Options:
set_option trace.slim_check.decoration true
: print the proposition with quantifier annotationsset_option trace.slim_check.discarded true
: print the examples discarded because they do not satisfy assumptionsset_option trace.slim_check.shrink.steps true
: trace the shrinking of counter-exampleset_option trace.slim_check.shrink.candidates true
: print the lists of candidates considered when shrinking each variableset_option trace.slim_check.instance true
: print the instances oftestable
being used to test the propositionset_option trace.slim_check.success true
: print the tested samples that satisfy a property
smul_tac
Defined in: RatFunc.tacticSmul_tac
Solve equations for RatFunc K
by applying RatFunc.induction_on
.
solve
Defined in: solve
Similar to first
, but succeeds only if one the given tactics solves the current goal.
solve_by_elim
Defined in: Mathlib.Tactic.SolveByElim.solveByElimSyntax
solve_by_elim
calls apply
on the main goal to find an assumption whose head matches
and then repeatedly calls apply
on the generated subgoals until no subgoals remain,
performing at most maxDepth
(defaults to 6) recursive steps.
solve_by_elim
discharges the current goal or fails.
solve_by_elim
performs backtracking if subgoals can not be solved.
By default, the assumptions passed to apply
are the local context, rfl
, trivial
,
congrFun
and congrArg
.
The assumptions can be modified with similar syntax as for simp
:
solve_by_elim [h₁, h₂, ..., hᵣ]
also applies the given expressions.solve_by_elim only [h₁, h₂, ..., hᵣ]
does not include the local context,rfl
,trivial
,congrFun
, orcongrArg
unless they are explicitly included.solve_by_elim [-h₁, ... -hₙ]
removes the given local hypotheses.solve_by_elim using [a₁, ...]
uses all lemmas which have been labelled with the attributesaᵢ
(these attributes must be created usingregister_label_attr
).
solve_by_elim*
tries to solve all goals together, using backtracking if a solution for one goal
makes other goals impossible.
(Adding or removing local hypotheses may not be well-behaved when starting with multiple goals.)
Optional arguments passed via a configuration argument as solve_by_elim (config := { ... })
maxDepth
: number of attempts at discharging generated subgoalssymm
: adds all hypotheses derived bysymm
(defaults totrue
).exfalso
: allow callingexfalso
and trying again ifsolve_by_elim
fails (defaults totrue
).transparency
: change the transparency mode when callingapply
. Defaults to.default
, but it is often useful to change to.reducible
, so semireducible definitions will not be unfolded when trying to apply a lemma.
See also the doc-comment for Mathlib.Tactic.BacktrackConfig
for the options
proc
, suspend
, and discharge
which allow further customization of solve_by_elim
.
Both apply_assumption
and apply_rules
are implemented via these hooks.
sorry
Defined in: Lean.Parser.Tactic.tacticSorry
The sorry
tactic closes the goal using sorryAx
. This is intended for stubbing out incomplete
parts of a proof while still having a syntactically correct proof skeleton. Lean will give
a warning whenever a proof uses sorry
, so you aren't likely to miss it, but
you can double check if a theorem depends on sorry
by using
#print axioms my_thm
and looking for sorryAx
in the axiom list.
specialize
Defined in: Lean.Parser.Tactic.specialize
The tactic specialize h a₁ ... aₙ
works on local hypothesis h
.
The premises of this hypothesis, either universal quantifications or
non-dependent implications, are instantiated by concrete terms coming
from arguments a₁
... aₙ
.
The tactic adds a new hypothesis with the same name h := h a₁ ... aₙ
and tries to clear the previous one.
split
Defined in: Lean.Parser.Tactic.split
The split
tactic is useful for breaking nested if-then-else and match
expressions into separate cases.
For a match
expression with n
cases, the split
tactic generates at most n
subgoals.
For example, given n : Nat
, and a target if n = 0 then Q else R
, split
will generate
one goal with hypothesis n = 0
and target Q
, and a second goal with hypothesis
¬n = 0
and target R
. Note that the introduced hypothesis is unnamed, and is commonly
renamed used the case
or next
tactics.
split
will split the goal (target).split at h
will split the hypothesish
.
split_ands
Defined in: Std.Tactic.tacticSplit_ands
split_ands
applies And.intro
until it does not make progress.
split_ifs
Defined in: Mathlib.Tactic.splitIfs
Splits all if-then-else-expressions into multiple goals.
Given a goal of the form g (if p then x else y)
, split_ifs
will produce
two goals: p ⊢ g x
and ¬p ⊢ g y
.
If there are multiple ite-expressions, then split_ifs
will split them all,
starting with a top-most one whose condition does not contain another
ite-expression.
split_ifs at *
splits all ite-expressions in all hypotheses as well as the goal.
split_ifs with h₁ h₂ h₃
overrides the default names for the hypotheses.
squeeze_scope
Defined in: Std.Tactic.squeezeScope
The squeeze_scope
tactic allows aggregating multiple calls to simp
coming from the same syntax
but in different branches of execution, such as in cases x <;> simp
.
The reported simp
call covers all simp lemmas used by this syntax.
@[simp] def bar (z : Nat) := 1 + z
@[simp] def baz (z : Nat) := 1 + z
@[simp] def foo : Nat → Nat → Nat
| 0, z => bar z
| _+1, z => baz z
example : foo x y = 1 + y := by
cases x <;> simp? -- two printouts:
-- "Try this: simp only [foo, bar]"
-- "Try this: simp only [foo, baz]"
example : foo x y = 1 + y := by
squeeze_scope
cases x <;> simp -- only one printout: "Try this: simp only [foo, baz, bar]"
stop
Defined in: Lean.Parser.Tactic.tacticStop_
stop
is a helper tactic for "discarding" the rest of a proof:
it is defined as repeat sorry
.
It is useful when working on the middle of a complex proofs,
and less messy than commenting the remainder of the proof.
subst
Defined in: Lean.Parser.Tactic.subst
subst x...
substitutes each x
with e
in the goal if there is a hypothesis
of type x = e
or e = x
.
If x
is itself a hypothesis of type y = e
or e = y
, y
is substituted instead.
subst_eqs
Defined in: Std.Tactic.tacticSubst_eqs
subst_eqs
applies subst
to all equalities in the context as long as it makes progress.
subst_vars
Defined in: Lean.Parser.Tactic.substVars
Applies subst
to all hypotheses of the form h : x = t
or h : t = x
.
substs
Defined in: Mathlib.Tactic.Substs.substs
Applies the subst
tactic to all given hypotheses from left to right.
success_if_fail_with_msg
Defined in: Mathlib.Tactic.successIfFailWithMsg
success_if_fail_with_msg msg tacs
runs tacs
and succeeds only if they fail with the message
msg
.
msg
can be any term that evaluates to an explicit String
.
suffices
Defined in: Lean.Parser.Tactic.tacticSuffices_
Given a main goal ctx ⊢ t
, suffices h : t' from e
replaces the main goal with ctx ⊢ t'
,
e
must have type t
in the context ctx, h : t'
.
The variant suffices h : t' by tac
is a shorthand for suffices h : t' from by tac
.
If h :
is omitted, the name this
is used.
suffices
Defined in: Mathlib.Tactic.tacticSuffices_
swap
Defined in: Mathlib.Tactic.tacticSwap
swap
is a shortcut for pick_goal 2
, which interchanges the 1st and 2nd goals.
swap_var
Defined in: Mathlib.Tactic.«tacticSwap_var__,,»
swap_var swap_rule₁, swap_rule₂, ⋯
applies swap_rule₁
then swap_rule₂
then ⋯
.
A swap_rule is of the form x y
or x ↔ y
, and "applying it" means swapping the variable name
x
by y
and vice-versa on all hypotheses and the goal.
example {P Q : Prop} (q : P) (p : Q) : P ∧ Q := by
swap_var p ↔ q
exact ⟨p, q⟩
symm
Defined in: Mathlib.Tactic.tacticSymm_
symm
applies to a goal whose target has the formt ~ u
where~
is a symmetric relation, that is, a relation which has a symmetry lemma tagged with the attribute [symm]. It replaces the target withu ~ t
.symm at h
will rewrite a hypothesish : t ~ u
toh : u ~ t
.
symm_saturate
Defined in: Mathlib.Tactic.tacticSymm_saturate
For every hypothesis h : a ~ b
where a @[symm]
lemma is available,
add a hypothesis h_symm : b ~ a
.
tauto
Defined in: Mathlib.Tactic.Tauto.tauto
tauto
breaks down assumptions of the form _ ∧ _
, _ ∨ _
, _ ↔ _
and ∃ _, _
and splits a goal of the form _ ∧ _
, _ ↔ _
or ∃ _, _
until it can be discharged
using reflexivity
or solve_by_elim
.
This is a finishing tactic: it either closes the goal or raises an error.
The Lean 3 version of this tactic by default attempted to avoid classical reasoning
where possible. This Lean 4 version makes no such attempt. The itauto
tactic
is designed for that purpose.
tfae_finish
Defined in: Mathlib.Tactic.TFAE.tfaeFinish
tfae_finish
is used to close goals of the form TFAE [P₁, P₂, ...]
once a sufficient collection
of hypotheses of the form Pᵢ → Pⱼ
or Pᵢ ↔ Pⱼ
have been introduced to the local context.
tfae_have
can be used to conveniently introduce these hypotheses; see tfae_have
.
Example:
example : TFAE [P, Q, R] := by
tfae_have 1 → 2
· /- proof of P → Q -/
tfae_have 2 → 1
· /- proof of Q → P -/
tfae_have 2 ↔ 3
· /- proof of Q ↔ R -/
tfae_finish
tfae_have
Defined in: Mathlib.Tactic.TFAE.tfaeHave
tfae_have
introduces hypotheses for proving goals of the form TFAE [P₁, P₂, ...]
. Specifically,
tfae_have i arrow j
introduces a hypothesis of type Pᵢ arrow Pⱼ
to the local context,
where arrow
can be →
, ←
, or ↔
. Note that i
and j
are natural number indices (beginning
at 1) used to specify the propositions P₁, P₂, ...
that appear in the TFAE
goal list. A proof
is required afterward, typically via a tactic block.
example (h : P → R) : TFAE [P, Q, R] := by
tfae_have 1 → 3
· exact h
...
The resulting context now includes tfae_1_to_3 : P → R
.
The introduced hypothesis can be given a custom name, in analogy to have
syntax:
tfae_have h : 2 ↔ 3
Once sufficient hypotheses have been introduced by tfae_have
, tfae_finish
can be used to close
the goal.
example : TFAE [P, Q, R] := by
tfae_have 1 → 2
· /- proof of P → Q -/
tfae_have 2 → 1
· /- proof of Q → P -/
tfae_have 2 ↔ 3
· /- proof of Q ↔ R -/
tfae_finish
trace
Defined in: Lean.Parser.Tactic.trace
Evaluates a term to a string (when possible), and prints it as a trace message.
trace
Defined in: Lean.Parser.Tactic.traceMessage
trace msg
displays msg
in the info view.
trace_state
Defined in: Lean.Parser.Tactic.traceState
trace_state
displays the current state in the info view.
trans
Defined in: Mathlib.Tactic.tacticTrans___
trans
applies to a goal whose target has the form t ~ u
where ~
is a transitive relation,
that is, a relation which has a transitivity lemma tagged with the attribute [trans].
trans s
replaces the goal with the two subgoalst ~ s
ands ~ u
.- If
s
is omitted, then a metavariable is used instead.
transitivity
Defined in: Mathlib.Tactic.tacticTransitivity___
triv
Defined in: Std.Tactic.triv
Tries to solve the goal using a canonical proof of True
, or the rfl
tactic.
Unlike trivial
or trivial'
, does not use the contradiction
tactic.
trivial
Defined in: Lean.Parser.Tactic.tacticTrivial
trivial
tries different simple tactics (e.g., rfl
, contradiction
, ...)
to close the current goal.
You can use the command macro_rules
to extend the set of tactics used. Example:
macro_rules | `(tactic| trivial) => `(tactic| simp)
try
Defined in: Lean.Parser.Tactic.tacticTry_
try tac
runs tac
and succeeds even if tac
failed.
type_check
Defined in: tacticType_check_
Type check the given expression, and trace its type.
unfold
Defined in: Lean.Parser.Tactic.unfold
unfold id
unfolds definitionid
.unfold id1 id2 ...
is equivalent tounfold id1; unfold id2; ...
.
For non-recursive definitions, this tactic is identical to delta
.
For definitions by pattern matching, it uses "equation lemmas" which are
autogenerated for each match arm.
unfold_let
Defined in: Mathlib.Tactic.unfoldLetStx
unfold_let x y z at loc
unfolds the local definitions x
, y
, and z
at the given
location, which is known as "zeta reduction."
This also exists as a conv
-mode tactic.
If no local definitions are given, then all local definitions are unfolded.
This variant also exists as the conv
-mode tactic zeta
.
This is similar to the unfold
tactic, which instead is for unfolding global definitions.
unfold_projs
Defined in: Mathlib.Tactic.unfoldProjsStx
unfold_projs at loc
unfolds projections of class instances at the given location.
This also exists as a conv
-mode tactic.
unhygienic
Defined in: Lean.Parser.Tactic.tacticUnhygienic_
unhygienic tacs
runs tacs
with name hygiene disabled.
This means that tactics that would normally create inaccessible names will instead
make regular variables. Warning: Tactics may change their variable naming
strategies at any time, so code that depends on autogenerated names is brittle.
Users should try not to use unhygienic
if possible.
example : ∀ x : Nat, x = x := by unhygienic
intro -- x would normally be intro'd as inaccessible
exact Eq.refl x -- refer to x
unit_interval
Defined in: Tactic.Interactive.tacticUnit_interval
A tactic that solves 0 ≤ ↑x
, 0 ≤ 1 - ↑x
, ↑x ≤ 1
, and 1 - ↑x ≤ 1
for x : I
.
unreachable!
Defined in: Std.Tactic.unreachable
This tactic causes a panic when run (at compile time).
(This is distinct from exact unreachable!
, which inserts code which will panic at run time.)
It is intended for tests to assert that a tactic will never be executed, which is otherwise an
unusual thing to do (and the unreachableTactic
linter will give a warning if you do).
The unreachableTactic
linter has a special exception for uses of unreachable!
.
example : True := by trivial <;> unreachable!
use
Defined in: Mathlib.Tactic.useSyntax
use e₁, e₂, ⋯
is similar to exists
, but unlike exists
it is equivalent to applying the tactic
refine ⟨e₁, e₂, ⋯, ?_, ⋯, ?_⟩
with any number of placeholders (rather than just one) and
then trying to close goals associated to the placeholders with a configurable discharger (rather
than just try trivial
).
Examples:
example : ∃ x : Nat, x = x := by use 42
example : ∃ x : Nat, ∃ y : Nat, x = y := by use 42, 42
example : ∃ x : String × String, x.1 = x.2 := by use ("forty-two", "forty-two")
use! e₁, e₂, ⋯
is similar but it applies constructors everywhere rather than just for
goals that correspond to the last argument of a constructor. This gives the effect that
nested constructors are being flattened out, with the supplied values being used along the
leaves and nodes of the tree of constructors.
With use!
one can feed in each 42
one at a time:
example : ∃ p : Nat × Nat, p.1 = p.2 := by use! 42, 42
example : ∃ p : Nat × Nat, p.1 = p.2 := by use! (42, 42)
The second line makes use of the fact that use!
tries refining with the argument before
applying a constructor. Also note that use
/use!
by default uses a tactic
called use_discharger
to discharge goals, so use! 42
will close the goal in this example since
use_discharger
applies rfl
, which as a consequence solves for the other Nat
metavariable.
These tactics take an optional discharger to handle remaining explicit Prop
constructor arguments.
By default it is use (discharger := try with_reducible use_discharger) e₁, e₂, ⋯
.
To turn off the discharger and keep all goals, use (discharger := skip)
.
To allow "heavy refls", use (discharger := try use_discharger)
.
use!
Defined in: Mathlib.Tactic.«tacticUse!___,,»
use e₁, e₂, ⋯
is similar to exists
, but unlike exists
it is equivalent to applying the tactic
refine ⟨e₁, e₂, ⋯, ?_, ⋯, ?_⟩
with any number of placeholders (rather than just one) and
then trying to close goals associated to the placeholders with a configurable discharger (rather
than just try trivial
).
Examples:
example : ∃ x : Nat, x = x := by use 42
example : ∃ x : Nat, ∃ y : Nat, x = y := by use 42, 42
example : ∃ x : String × String, x.1 = x.2 := by use ("forty-two", "forty-two")
use! e₁, e₂, ⋯
is similar but it applies constructors everywhere rather than just for
goals that correspond to the last argument of a constructor. This gives the effect that
nested constructors are being flattened out, with the supplied values being used along the
leaves and nodes of the tree of constructors.
With use!
one can feed in each 42
one at a time:
example : ∃ p : Nat × Nat, p.1 = p.2 := by use! 42, 42
example : ∃ p : Nat × Nat, p.1 = p.2 := by use! (42, 42)
The second line makes use of the fact that use!
tries refining with the argument before
applying a constructor. Also note that use
/use!
by default uses a tactic
called use_discharger
to discharge goals, so use! 42
will close the goal in this example since
use_discharger
applies rfl
, which as a consequence solves for the other Nat
metavariable.
These tactics take an optional discharger to handle remaining explicit Prop
constructor arguments.
By default it is use (discharger := try with_reducible use_discharger) e₁, e₂, ⋯
.
To turn off the discharger and keep all goals, use (discharger := skip)
.
To allow "heavy refls", use (discharger := try use_discharger)
.
use_discharger
Defined in: Mathlib.Tactic.tacticUse_discharger
Default discharger to try to use for the use
and use!
tactics.
This is similar to the trivial
tactic but doesn't do things like contradiction
or decide
.
use_finite_instance
Defined in: tacticUse_finite_instance
whisker_simps
Defined in: Mathlib.Tactic.BicategoryCoherence.whisker_simps
Simp lemmas for rewriting a 2-morphism into a normal form.
whnf
Defined in: Mathlib.Tactic.tacticWhnf__
whnf at loc
puts the given location into weak-head normal form.
This also exists as a conv
-mode tactic.
Weak-head normal form is when the outer-most expression has been fully reduced, the expression may contain subexpressions which have not been reduced.
with_panel_widgets
Defined in: ProofWidgets.withPanelWidgetsTacticStx
Display the selected panel widgets in the nested tactic script. For example,
assuming we have written a GeometryDisplay
component,
by with_panel_widgets [GeometryDisplay]
simp
rfl
will show the geometry display alongside the usual tactic state throughout the proof.
with_reducible
Defined in: Lean.Parser.Tactic.withReducible
with_reducible tacs
excutes tacs
using the reducible transparency setting.
In this setting only definitions tagged as [reducible]
are unfolded.
with_reducible_and_instances
Defined in: Lean.Parser.Tactic.withReducibleAndInstances
with_reducible_and_instances tacs
excutes tacs
using the .instances
transparency setting.
In this setting only definitions tagged as [reducible]
or type class instances are unfolded.
with_unfolding_all
Defined in: Lean.Parser.Tactic.withUnfoldingAll
with_unfolding_all tacs
excutes tacs
using the .all
transparency setting.
In this setting all definitions that are not opaque are unfolded.
wlog
Defined in: Mathlib.Tactic.wlog
wlog h : P
will add an assumption h : P
to the main goal, and add a side goal that requires
showing that the case h : ¬ P
can be reduced to the case where P
holds (typically by symmetry).
The side goal will be at the top of the stack. In this side goal, there will be two additional assumptions:
h : ¬ P
: the assumption thatP
does not holdthis
: which is the statement that in the old contextP
suffices to prove the goal. By default, the namethis
is used, but the idiomwith H
can be added to specify the name:wlog h : P with H
.
Typically, it is useful to use the variant wlog h : P generalizing x y
,
to revert certain parts of the context before creating the new goal.
In this way, the wlog-claim this
can be applied to x
and y
in different orders
(exploiting symmetry, which is the typical use case).
By default, the entire context is reverted.
zify
Defined in: Mathlib.Tactic.Zify.zify
The zify
tactic is used to shift propositions from ℕ
to ℤ
.
This is often useful since ℤ
has well-behaved subtraction.
example (a b c x y z : ℕ) (h : ¬ x*y*z < 0) : c < a + 3*b := by
zify
zify at h
/-
h : ¬↑x * ↑y * ↑z < 0
⊢ ↑c < ↑a + 3 * ↑b
-/
zify
can be given extra lemmas to use in simplification. This is especially useful in the
presence of nat subtraction: passing ≤
arguments will allow push_cast
to do more work.
example (a b c : ℕ) (h : a - b < c) (hab : b ≤ a) : false := by
zify [hab] at h
/- h : ↑a - ↑b < ↑c -/
zify
makes use of the @[zify_simps]
attribute to move propositions,
and the push_cast
tactic to simplify the ℤ
-valued expressions.
zify
is in some sense dual to the lift
tactic. lift (z : ℤ) to ℕ
will change the type of an
integer z
(in the supertype) to ℕ
(the subtype), given a proof that z ≥ 0
;
propositions concerning z
will still be over ℤ
. zify
changes propositions about ℕ
(the
subtype) to propositions about ℤ
(the supertype), without changing the type of any variable.
decide
Defined in: Lean.Parser.Tactic.decide
decide
will attempt to prove a goal of type p
by synthesizing an instance
of Decidable p
and then evaluating it to isTrue ..
. Because this uses kernel
computation to evaluate the term, it may not work in the presence of definitions
by well founded recursion, since this requires reducing proofs.
example : 2 + 2 ≠ 5 := by decide
intro match
Defined in: Lean.Parser.Tactic.introMatch
The tactic
intro
| pat1 => tac1
| pat2 => tac2
is the same as:
intro x
match x with
| pat1 => tac1
| pat2 => tac2
That is, intro
can be followed by match arms and it introduces the values while
doing a pattern match. This is equivalent to fun
with match arms in term mode.
match
Defined in: Lean.Parser.Tactic.match
match
performs case analysis on one or more expressions.
See Induction and Recursion.
The syntax for the match
tactic is the same as term-mode match
, except that
the match arms are tactics instead of expressions.
example (n : Nat) : n = n := by
match n with
| 0 => rfl
| i+1 => simp
native_decide
Defined in: Lean.Parser.Tactic.nativeDecide
native_decide
will attempt to prove a goal of type p
by synthesizing an instance
of Decidable p
and then evaluating it to isTrue ..
. Unlike decide
, this
uses #eval
to evaluate the decidability instance.
This should be used with care because it adds the entire lean compiler to the trusted
part, and the axiom ofReduceBool
will show up in #print axioms
for theorems using
this method or anything that transitively depends on them. Nevertheless, because it is
compiled, this can be significantly more efficient than using decide
, and for very
large computations this is one way to run external programs and trust the result.
example : (List.range 1000).length = 1000 := by native_decide
open
Defined in: Lean.Parser.Tactic.open
open Foo in tacs
(the tactic) acts like open Foo
at command level,
but it opens a namespace only within the tactics tacs
.
set_option
Defined in: Lean.Parser.Tactic.set_option
set_option opt val in tacs
(the tactic) acts like set_option opt val
at the command level,
but it sets the option only within the tactics tacs
.
tac <;> tac
Defined in: Lean.Parser.Tactic.«tactic_<;>_»
tac <;> tac'
runs tac
on the main goal and tac'
on each produced goal,
concatenating all goals produced by tac'
.
t <;> [t1; t2; ...; tn]
Defined in: Std.Tactic.seq_focus
t <;> [t1; t2; ...; tn]
focuses on the first goal and applies t
, which should result in n
subgoals. It then applies each ti
to the corresponding goal and collects the resulting
subgoals.
·
Defined in: cdot
· tac
focuses on the main goal and tries to solve it using tac
, or else fails.
if h : t then tac1 else tac2
Defined in: tacDepIfThenElse
In tactic mode, if h : t then tac1 else tac2
can be used as alternative syntax for:
by_cases h : t
· tac1
· tac2
It performs case distinction on h : t
or h : ¬t
and tac1
and tac2
are the subproofs.
You can use ?_
or _
for either subproof to delay the goal to after the tactic, but
if a tactic sequence is provided for tac1
or tac2
then it will require the goal to be closed
by the end of the block.
if t then tac1 else tac2
Defined in: tacIfThenElse
In tactic mode, if t then tac1 else tac2
is alternative syntax for:
by_cases t
· tac1
· tac2
It performs case distinction on h† : t
or h† : ¬t
, where h†
is an anonymous
hypothesis, and tac1
and tac2
are the subproofs. (It doesn't actually use
nondependent if
, since this wouldn't add anything to the context and hence would be
useless for proving theorems. To actually insert an ite
application use
refine if t then ?_ else ?_
.)