Introduce the apply_congr
conv mode tactic. #
apply_congr
will apply congruence lemmas inside conv
mode.
It is particularly useful when the automatically generated congruence lemmas
are not of the optimal shape. An example, described in the doc-string is
rewriting inside the operand of a Finset.sum
.
Apply a congruence lemma inside conv
mode.
When called without an argument apply_congr
will try applying all lemmas marked with @[congr]
.
Otherwise apply_congr e
will apply the lemma e
.
Recall that a goal that appears as ∣ X
in conv
mode
represents a goal of ⊢ X = ?m
,
i.e. an equation with a metavariable for the right hand side.
To successfully use apply_congr e
, e
will need to be an equation
(possibly after function arguments),
which can be unified with a goal of the form X = ?m
.
The right hand side of e
will then determine the metavariable,
and conv
will subsequently replace X
with that right hand side.
As usual, apply_congr
can create new goals;
any of these which are not equations with a metavariable on the right hand side
will be hard to deal with in conv
mode.
Thus apply_congr
automatically calls intros
on any new goals,
and fails if they are not then equations.
In particular it is useful for rewriting inside the operand of a Finset.sum
,
as it provides an extra hypothesis asserting we are inside the domain.
For example:
example (f g : ℤ → ℤ) (S : Finset ℤ) (h : ∀ m ∈ S, f m = g m) :
Finset.sum S f = Finset.sum S g := by
conv_lhs =>
-- If we just call `congr` here, in the second goal we're helpless,
-- because we are only given the opportunity to rewrite `f`.
-- However `apply_congr` uses the appropriate `@[congr]` lemma,
-- so we get to rewrite `f x`, in the presence of the crucial `H : x ∈ S` hypothesis.
apply_congr
· skip
· simp [*]
In the above example, when the apply_congr
tactic is called it gives the hypothesis H : x ∈ S
which is then used to rewrite the f x
to g x
.
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Instances For
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