This module contains code to derive, from the definition of a recursive function (structural or well-founded, possibly mutual), a functional induction principle tailored to proofs about that function(s).
For example from:
def ackermann : Nat → Nat → Nat
| 0, m => m + 1
| n+1, 0 => ackermann n 1
| n+1, m+1 => ackermann n (ackermann (n + 1) m)
we get
ackermann.induct (motive : Nat → Nat → Prop) (case1 : ∀ (m : Nat), motive 0 m)
(case2 : ∀ (n : Nat), motive n 1 → motive (Nat.succ n) 0)
(case3 : ∀ (n m : Nat), motive (n + 1) m → motive n (ackermann (n + 1) m) → motive (Nat.succ n) (Nat.succ m))
(x x : Nat) : motive x x
Specification #
The functional induction principle takes the same fixed parameters as the function, and the motive takes the same non-fixed parameters as the original function.
For each branch of the original function, there is a case in the induction principle.
Here "branch" roughly corresponds to tail-call positions: branches of top-level
if
-then
-else
and of match
expressions.
For every recursive call in that branch, an induction hypothesis asserting the motive for the arguments of the recursive call is provided. If the recursive call is under binders and it, or its proof of termination, depend on the the bound values, then these become assumptions of the inductive hypothesis.
Additionally, the local context of the branch (e.g. the condition of an
if-then-else; a let-binding, a have-binding) is provided as assumptions in the
corresponding induction case, if they are likely to be useful (as determined
by MVarId.cleanup
).
Mutual recursion is supported and results in multiple motives.
Implementation overview (well-founded recursion) #
For a non-mutual, unary function foo
(or else for the _unary
function), we
expect its definition to be of the form
def foo := fun x₁ … xₙ (y : a) => WellFounded.fix (fun y' oldIH => body) y
where
xᵢ…
are the fixed parameter prefix andy
is the varying parameter of the function.From this structure we derive the type of the motive, and start assembling the induction principle:
def foo.induct := fun x₁ … xₙ (motive : (y : a) → Prop) => fix (fun y' newIH => T[body])
The first phase, transformation
T1[body]
(implemented inbuildInductionBody
) mirrors the branching structure offoo
, i.e. replicatesdite
and some matcher applications, while adjusting their motive. It also unfolds calls tooldIH
and collects induction hypotheses in conditions (see below).In particular, when translating a
match
it is prepared to recognize the idiom as introduced bymkFix
viaLean.Meta.MatcherApp.addArg?
, which refines the type ofoldIH
throughout the match. The transformation will replaceoldIH
withnewIH
here.T[(match (motive := fun oldIH => …) y with | … => fun oldIH' => body) oldIH] ==> (match (motive := fun newIH => …) y with | … => fun newIH' => T[body]) newIH
In addition, the information gathered from the match is preserved, so that when performing the proof by induction, the user can reliably enter the right case. To achieve this
- the matcher is replaced by its splitter, which brings extra assumptions into scope when
patterns are overlapping (using
matcherApp.transform (useSplitter := true)
) - simple discriminants that are mentioned in the goal (i.e plain parameters) are instantiated in the goal.
- for discriminants that are not instantiated that way, equalities connecting the discriminant
to the instantiation are added (just as if the user wrote
match h : x with …
)
- the matcher is replaced by its splitter, which brings extra assumptions into scope when
patterns are overlapping (using
When a tail position (no more branching) is found, function
buildInductionCase
assembles the type of the case: a freshMVar
asserts the current goal, unwanted values from the local context are cleared, and the currentbody
is searched for recursive calls usingfoldAndCollect
, which are then asserted as inductive hyptheses in theMVar
.The function
foldAndCollect
walks the term and performs two operations:- collects the induction hypotheses for the current case (with proofs).
- recovering the recursive calls
So when it encounters a saturated application of
oldIH arg proof
, it- returns
f arg
and - remembers the expression
newIH arg proof : motive x
as an inductive hypothesis.
Since
arg
andproof
can contain further recursive calls, they are folded there as well. This assumes that the termination proofproof
works nevertheless.Again,
foldAndCollect
may encounter theLean.Meta.Matcherapp.addArg?
idiom, and again it threadsnewIH
through, replacing the extra argument. The resulting type of this induction hypothesis is now itself amatch
statement (cf.Lean.Meta.MatcherApp.inferMatchType
)The termination proof of
foo
may have abstracted over some proofs; these proofs must be transferred, so auxillary lemmas are unfolded if needed.After this construction, the MVars introduced by
buildInductionCase
are turned into parameters.
The resulting term then becomes foo.induct
at its inferred type.
Implementation overview (mutual/non-unary well-founded recursion) #
If foo
is not unary and/or part of a mutual reduction, then the induction theorem for foo._unary
(i.e. the unary non-mutual recursion function produced by the equation compiler)
of the form
foo._unary.induct : {motive : (a ⊗' b) ⊕' c → Prop} →
(case1 : ∀ …, motive (PSum.inl (x,y)) → …) → … →
(x : (a ⊗' b) ⊕' c) → motive x
will first in unpackMutualInduction
be turned into a joint induction theorem of the form
foo.mutual_induct : {motive1 : a → b → Prop} {motive2 : c → Prop} →
(case1 : ∀ …, motive1 x y → …) → … →
((x : a) → (y : b) → motive1 x y) ∧ ((z : c) → motive2 z)
where all the PSum
/PSigma
encoding has been resolved. This theorem is attached to the
name of the first function in the mutual group, like the ._unary
definition.
Finally, in deriveUnpackedInduction
, for each of the funtions in the mutual group, a simple
projection yields the final foo.induct
theorem:
foo.induct : {motive1 : a → b → Prop} {motive2 : c → Prop} →
(case1 : ∀ …, motive1 x y → …) → … →
(x : a) → (y : b) → motive1 x y
Implementation overview (structural recursion) #
When handling structural recursion, the overall approach is the same, with the following differences:
Instead of
WellFounded.fix
we look for a.brecOn
application, usingisBRecOnRecursor
Despite its name, this function does not recognize the
.brecOn
of inductive predicates, which we also do not support at this point.Since (for now) we only support
Prop
in the induction principle, we rewrite to.binductionOn
.The elaboration of structurally recursive function can handle extra arguments. We keep the
motive
parameters in the original order.
Opens the body of a lambda, without putting the free variable into the local context. This is used when replacing parameters with different expressions. This way it will not be picked up by metavariables.
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A monad to help collecting inductive hypothesis.
In foldAndCollect
it's a writer monad (with variants of the local
combinator),
and in buildInductionBody
it is more of a reader monad, with inductive hypotheses
being passed down (hence the ask
and branch
combinator).
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- act.run = StateT.run act #[]
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- Lean.Tactic.FunInd.M.tell x xs = pure ((), xs.push x)
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- Lean.Tactic.FunInd.M.localMapM f act = Lean.Tactic.FunInd.M.localM (fun (x : Array Lean.Expr) => Array.mapM f x) act
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- act.branch = Lean.Tactic.FunInd.M.localM (fun (x : Array Lean.Expr) => pure #[]) act
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The foldAndCollect
function performs two operations together:
- it fold recursive calls: applications (and projectsions) of
oldIH
ine
correspond to recursive calls, so this function rewrites that back to recursive calls - it collects induction hypotheses: after replacing
oldIH
withnewIH
, applications thereof are valuable as induction hypotheses for the cases.
For well-founded recursion (unary, non-mutual by construction) the terms are rather simple: they
are oldIH arg proof
, and can be rewritten to f arg
resp. newIH arg proof
. But for
structural recursion this can be a more complicted mix of function applications (due to reflexive
data types or extra function arguments) and PProd
projections (due to the below construction and
mutual function packing), and the main function argument isn't even present.
To avoid having to think about this, we apply a nice trick:
We compositionally replace oldIH
with newIH
. This likely changes the result type, so when
re-assembling we have to be supple (mainly around PProd.fst
/PProd.snd
). As we re-assemble
the term we check if it has type motive xs..
. If it has, then know we have just found and
rewritten a recursive call, and this type nicely provides us the arguments xs
. So at this point
we store the rewritten expression as a new induction hypothesis (using M.tell
) and rewrite to
f xs..
, which now again has the same type as the original term, and the furthe re-assembly should
work. Half this logic is in the isRecCall
parameter.
If this process fails we’ll get weird type errors (caught later on). We'll see if we need to
imporve the errors, for example by passing down a flag whether we expect the same type (and no
occurrences of newIH
), or whether we are in “supple mode”, and catch it earlier if the rewriting
fails.
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Substitutes equations, but makes sure to only substitute variables introduced after the motives
(given by the index) as the motive could depend on anything before, and substVar
would happily
drop equations about these fixed parameters.
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Second helper monad collecting the cases as mvars
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- act.run = (StateT.run act #[]).eval
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Base case of buildInductionBody
: Construct a case for the final induction hypthesis.
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Like mkLambdaFVars (usedOnly := true)
, but
- silently skips expression in
xs
that are not.isFVar
- returns a mask (same size as
xs
) indicating which variables have been abstracted (true
means was abstracted).
The result r
can be applied with r.beta (maskArray mask args)
.
We use this when generating the functional induction principle to refine the goal through a match
,
here xs
are the discriminans of the match
.
We do not expect non-trivial discriminants to appear in the goal (and if they do, the user will
get a helpful equality into the context).
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Builds an expression of type goal
by replicating the expression e
into its tail-call-positions,
where it calls buildInductionCase
. Collects the cases of the final induction hypothesis
as MVars
as it goes.
Given an expression e
with metavariables
- collects all these meta-variables,
- lifts them to the current context by reverting all local declarations after index
index
- introducing a local variable for each of the meta variable
- assigning that local variable to the mvar
- and finally lambda-abstracting over these new local variables.
This operation only works if the metavariables are independent from each other.
The resulting meta variable assignment is no longer valid (mentions out-of-scope variables), so after this operations, terms that still mention these meta variables must not be used anymore.
We are not using mkLambdaFVars
on mvars directly, nor abstractMVars
, as these at the moment
do not handle delayed assignemnts correctly.
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Given a unary definition foo
defined via WellFounded.fixF
, derive a suitable induction principle
foo.induct
for it. See module doc for details.
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Given foo.mutual_induct
, defined foo.induct
, bar.induct
etc.
Used for well-founded and structural recursion.
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In the type of value
, reduces
- Beta-redexes
PSigma.casesOn (PSigma.mk a b) (fun x y => k x y) --> k a b
PSum.casesOn (PSum.inl x) k₁ k₂ --> k₁ x
foo._unary (PSum.inl (PSigma.mk a b)) --> foo a b
and then wrapsvalue
in an appropriate type hint.
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Takes foo._unary.induct
, where the motive is a PSigma
/PSum
type and
unpacks it into a n-ary and (possibly) joint induction principle.
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Given foo._unary.induct
, define foo.mutual_induct
and then foo.induct
, bar.induct
, …
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Given a recursive definition foo
defined via structural recursion, derive foo.mutual_induct
,
if needed, and foo.induct
for all functions in the group.
See module doc for details.
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Given a recursively defined function foo
, derives foo.induct
. See the module doc for details.
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- Lean.Tactic.FunInd.isFunInductName env (indName.str str) = (pure false).run
- Lean.Tactic.FunInd.isFunInductName env name = (pure false).run