「SF-LC」9 ProofObjects
“Algorithms are the computational content of proofs.” —Robert Harper
So the book material is designed to be gradually reveal the facts that
Programming and proving in Coq are two sides of the same coin.
e.g.
Inductive
is useds for both data types and propositions.->
is used for both type of functions and logical implication.
The fundamental idea of Coq is that:
provability in Coq is represented by concrete evidence. When we construct the proof of a basic proposition, we are actually building a tree of evidence, which can be thought of as a data structure.
e.g.
- implication like
A → B
, its proof will be an evidence transformer: a recipe for converting evidence for A into evidence for B.
Proving manipulates evidence, much as programs manipuate data.
Curry-Howard Correspondence
deep connection between the world of logic and the world of computation:
propositions ~ types
proofs / evidence ~ terms / data values
ev_0 : even 0
ev_0
has typeeven 0
ev_0
is a proof of / is evidence foreven 0
ev_SS : ∀n, even n -> even (S (S n))
- takes a nat
n
and evidence foreven n
and yields evidence foreven (S (S n))
.
This is Props as Types.
Proof Objects
Proofs are data! We can see the proof object that results from this proof script.
1 | Print ev_4. |
These two ways are the same in principle!
Proof Scripts
Show Proof.
will show the partially constructed proof terms / objects.?Goal
is the unification variable. (the hold we need to fill in to complete the proof)
more complicated in branching cases
one hole more subgoal
1 | Theorem ev_4'' : even 4. (* match? (even 4) *) |
Tactic proofs are useful and convenient, but they are not essential:
in principle, we can always construct the required evidence by hand
Agda doesn’t have tactics built-in. (but also Interactive)
Quantifiers, Implications, Functions
In Coq’s computational universe (where data structures and programs live), to give ->
:
- constructors (introduced by
Indutive
) - functions
in Coq’s logical universe (where we carry out proofs), to give implication:
- constructors
- functions!
So instead of writing proof scripts e.g._
1 | Theorem ev_plus4 : ∀n, even n → even (4 + n). |
we can give proof object, which is a function here, directly!
1 | Definition ev_plus4' : ∀n, even n → even (4 + n) := (* ∀ is syntax for Pi? *) |
two interesting facts:
intros x
corresponds toλx.
(orPi x.
??)apply
corresponds to…not quite function application… but more like filling the hole.even n
mentions the value of 1st argumentn
. i.e. dependent type!
Recall Ari’s question in “applying theorem as function” e.g. plus_comm
why we can apply value in type-level fun.
becuz of dependent type.
Now we call them dependent type function
→
is degenerated ∀
(Pi
)
Notice that both implication (
→
) and quantification (∀
) correspond to functions on evidence.
In fact, they are really the same thing:→
is just a shorthand for a degenerate use of∀
where there is no dependency, i.e., no need to give a name to the type on the left-hand side of the arrow:
1 | ∀(x:nat), nat |
In general,
P → Q
is just syntactic sugar for∀ (_:P), Q
.
TaPL also mention this fact for Pi
.
Q&A - Slide 15
∀ n, even n → even (4 + n)
. (2 + n = S (S n)
)
Programming with Tactics.
If we can build proofs by giving explicit terms rather than executing tactic scripts,
you may be wondering whether we can build programs using tactics? Yes!
1 | Definition add1 : nat → nat. |
Notice that we terminate the Definition with a
.
rather than with:=
followed by a term.
This tells Coq to enter proof scripting mode (w/oProof.
, which did nothing)
Also, we terminate the proof with
Defined
rather thanQed
; this makes the definition transparent so that it can be used in computation like a normally-defined function
(Qed
-defined objects are opaque during computation.).
Qed
make things unfold
able,
thus add 1
ends with Qed
is not computable…
(becuz of not even unfold
able thus computation engine won’t deal with it)
Prof.Mtf: meaning “we don’t care about the details of Proof”
see as well Smart Constructor
This feature is mainly useful for writing functions with dependent types
In Coq - you do as much as ML/Haskell when you can…?
Unlike Agda - you program intensively in dependent type…?
When Extracting to OCaml…Coq did a lot of Object.magic
for coercion to bypass OCaml type system. (Coq has maken sure the type safety.)
Logical Connectives as Inductive Types
Inductive definitions are powerful enough to express most of the connectives we have seen so far.
Indeed, only universal quantification (with implication as a special case) is built into Coq;
all the others are defined inductively.
Wow…
CoqI: What’s Coq logic? Forall + Inductive type (+ coinduction), that’s it.
Conjunctions
1 | Inductive and (P Q : Prop) : Prop := |
similar to prod
(product) type… more connections happening here.
This similarity should clarify why
destruct
andintros
patterns can be used on a conjunctive hypothesis.
Similarly, the
split
tactic actually works for any inductively defined proposition with exactly one constructor
(so here,apply conj
, which will match the conclusion and generate two subgoal from assumptions )
A very direct proof:
1 | Definition and_comm'_aux P Q (H : P ∧ Q) : Q ∧ P := |
Disjunction
1 | Inductive or (P Q : Prop) : Prop := |
this explains why destruct
works but split
not..
Q&A - Slide 22 + 24
Both Question asked about what’s the type of some expression
1 | fun P Q R (H1: and P Q) (H2: and Q R) ⇒ |
But if you simply Check
on them, you will get errors saying:Error: The constructor conj (in type and) expects 2 arguments.
orError: The constructor or_introl (in type or) expects 2 arguments.
.
Coq Magics, “Implicit” Implicit and Overloading??
So what’s the problem?
Well, Coq did some magics…
1 | Print and. |
constructor conj
has implicit type arg w/o using {}
in and
…
1 | Inductive or (A B : Prop) : Prop := |
this is even more bizarre…
constructor or_introl
(and or_intror
) are overloaded!! (WTF)
And the questions’re still given as if they’re inside the modules we defined our plain version of and
& or
(w/o any magics), thus we need _
in the positions we instantiate and
& or
so Coq will infer.
Existential Quantification
To give evidence for an existential quantifier, we package a witness
x
together with a proof thatx
satisfies the propertyP
:
1 | Inductive ex {A : Type} (P : A → Prop) : Prop := |
one interesting fact is, outside of our module, the built-in Coq behaves differently (magically):
1 | Check ev. (* ===> *) : ∀ (A : Type), (A -> Prop) -> Prop |
A example of explicit proof object (that inhabit this type):
1 | Definition some_nat_is_even : ∃n, even n := |
the ex_intro
take even
first then 4
…not sure why the order becomes this…
1 | Check (ex_intro). (* ===> *) : forall (P : ?A -> Prop) (x : ?A), P x -> ex P |
To prove ex P
, given a witness x
and a proof of P x
. This desugar to ∃ x, P x
- the
P
here, is getting applied when we define prop∃ x, P x
. - but the
x
is not mentioned in type constructor…so it’s a existential type.- I don’t know why languages (including Haskell) use
forall
for existential tho.
- I don’t know why languages (including Haskell) use
exists
tactic = applying ex_intro
True and False
1 | Inductive True : Prop := |
Equality
1 | Inductive eq {X:Type} : X → X → Prop := |
given a set
X
, it defines a family of propositions “x is equal to y,”, indexed by pairs of values (x and y) fromX
.
Can we also use it to construct evidence that
1 + 1 = 2
?
Yes, we can. Indeed, it is the very same piece of evidence!
The reason is that Coq treats as “the same” any two terms that are convertible according to a simple set of computation rules.
nothing in the unification engine but we relies on the reduction engine.
Q: how much is it willing to do?
Mtf: just run them! (since Coq is total!)
1 | Lemma four: 2 + 2 == 1 + 3. |
The reflexivity
tactic is essentially just shorthand for apply eq_refl
.
Slide Q & A
- (4) has to be applicable thing, i.e. lambda, or “property” in the notion!
In terms of provability of reflexivity
1 | (fun n => S (S n)) = (fun n => 2 + n) (* reflexivity *) |
Inversion, Again
We’ve seen inversion used with both equality hypotheses and hypotheses about inductively defined propositions. Now that we’ve seen that these are actually the same thing
In general, the inversion
tactic…
- take hypo
H
whose typeP
is inductively defined - for each constructor
C
inP
- generate new subgoal (assume
H
was built withC
) - add the arguments (i.e. evidences of premises) of
C
as extra hypo (to the context of subgoal) - (apply
constructor
theorem), match the conclusion ofC
, calculates a set of equalities (some extra restrictions) - adds these equalities
- if there is contradiction,
discriminate
, solve subgoal.
- generate new subgoal (assume
Q
Q: Can we write
+
in a communitive way?
A: I don’t believe so.
- provided by direct observation (instead of inference)
- that does not contain any free variables.
Groundness
- 根基性?
Weird
Axiomness
might break the soundness of generated code in OCaml…