From ee02d8926a1ff3200ec2552d260dd581441a9674 Mon Sep 17 00:00:00 2001 From: Adam Chlipala Date: Sun, 14 Feb 2016 11:41:41 -0500 Subject: [PATCH] TransitionSystems: factorial example finished --- TransitionSystems.v | 141 +++++++++++++++++++++++++++----------------- _CoqProject | 1 + 2 files changed, 88 insertions(+), 54 deletions(-) diff --git a/TransitionSystems.v b/TransitionSystems.v index 0093e6d..f5017fd 100644 --- a/TransitionSystems.v +++ b/TransitionSystems.v @@ -5,6 +5,10 @@ Require Import Frap. +Set Implicit Arguments. +(* This command will treat type arguments to functions as implicit, like in + * Haskell or ML. *) + (* Here's a classic recursive, functional program for factorial. *) Fixpoint fact (n : nat) : nat := @@ -59,6 +63,8 @@ Theorem trc_trans : forall {A} (R : A -> A -> Prop) x y, trc R x y -> trc R x z. Proof. induct 1; simplify. + (* Note how we pass a *number* to [induct], to ask for induction on + * *the first hypothesis in the theorem statement*. *) assumption. (* [assumption]: prove a conclusion that matches some hypothesis exactly. *) @@ -117,28 +123,57 @@ Record trsys state := { Initial : state -> Prop; Step : state -> state -> Prop }. +(* Probably it's intuitively clear what a record type must be. + * See usage examples below to fill in more of the details. + * Note that [state] is a polymorphic type parameter. *) +(* The example of our factorial program: *) +Definition factorial_sys (original_input : nat) : trsys fact_state := {| + Initial := fact_init original_input; + Step := fact_step +|}. + +(* To prove that our state machine is correct, we rely on the crucial technique + * of *invariants*. What is an invariant? Here's a general definition, in + * terms of an arbitrary *transition system* defined by a set of states, + * an initial-state relation, and a step relation. *) Definition invariantFor {state} (sys : trsys state) (invariant : state -> Prop) := forall s, sys.(Initial) s -> forall s', sys.(Step)^* s s' -> invariant s'. +(* That is, when we begin in an initial state and take any number of steps, the + * place we wind up always satisfies the invariant. *) -Theorem use_invariant : forall {state} (sys : trsys state) (invariant : state -> Prop) s s', - sys.(Step)^* s s' +(* Here's a simple lemma to help us apply an invariant usefully, + * really just restating the definition. *) +Theorem use_invariant : forall {state} (sys : trsys state) + (invariant : state -> Prop) s s', + invariantFor sys invariant -> sys.(Initial) s - -> invariantFor sys invariant + -> sys.(Step)^* s s' -> invariant s'. Proof. - firstorder. + unfold invariantFor. + simplify. + eapply H. + eassumption. + assumption. Qed. -Theorem invariantFor_monotone : forall {state} (sys : trsys state) - (invariant1 invariant2 : state -> Prop), - (forall s, invariant1 s -> invariant2 s) - -> invariantFor sys invariant1 - -> invariantFor sys invariant2. +(* What's the most fundamental way to establish an invariant? Induction! *) +Lemma invariant_induction' : forall {state} (sys : trsys state) + (invariant : state -> Prop), + (forall s, invariant s -> forall s', sys.(Step) s s' -> invariant s') + -> forall s s', sys.(Step)^* s s' + -> invariant s + -> invariant s'. Proof. - unfold invariantFor; intuition eauto. + induct 2; propositional. + + apply IHtrc. + eapply H. + eassumption. + assumption. Qed. Theorem invariant_induction : forall {state} (sys : trsys state) @@ -148,53 +183,15 @@ Theorem invariant_induction : forall {state} (sys : trsys state) -> invariantFor sys invariant. Proof. unfold invariantFor; intros. - assert (invariant s) by eauto. - clear H1. - induction H2; eauto. -Qed. - - -(* To prove that our state machine is correct, we rely on the crucial technique - * of *invariants*. What is an invariant? Here's a general definition, in - * terms of an arbitrary *transition system* defined by a set of states, - * an initial-state relation, and a step relation. *) -Definition invariantFor {state} (initial : state -> Prop) (step : state -> state -> Prop) (invariant : state -> Prop) := - forall s, initial s - -> forall s', step^* s s' - -> invariant s'. -(* That is, when we begin in an initial state and take any number of steps, the - * place we wind up always satisfied the invariant. *) - -(* Here's a simple lemma to help us apply an invariant usefully, - * really just restating the definition. *) -Theorem use_invariant : forall {state} (initial : state -> Prop) - (step : state -> state -> Prop) (invariant : state -> Prop) s s', - step^* s s' - -> initial s - -> invariantFor initial step invariant - -> invariant s'. -Proof. - unfold invariantFor. - simplify. - eapply H1. + eapply invariant_induction'. eassumption. + eassumption. + apply H. assumption. Qed. -(* What's the most fundamental way to establish an invariant? Induction! *) -Theorem invariant_induction : forall {state} (initial : state -> Prop) - (step : state -> state -> Prop) (invariant : state -> Prop), - (forall s, initial s -> invariant s) - -> (forall s, invariant s -> forall s', step s s' -> invariant s') - -> invariantFor initial step invariant. -Proof. - unfold invariantFor; intros. - assert (invariant s) by eauto. - clear H1. - induction H2; eauto. -Qed. - -(* Here's a good invariant for factorial, parameterized on the original input +(* That's enough abstract results for now. Let's apply them to our example. + * Here's a good invariant for factorial, parameterized on the original input * to the program. *) Definition fact_invariant (original_input : nat) (st : fact_state) : Prop := match st with @@ -205,7 +202,7 @@ Definition fact_invariant (original_input : nat) (st : fact_state) : Prop := (* We can use [invariant_induction] to prove that it really is a good * invariant. *) Theorem fact_invariant_ok : forall original_input, - invariantFor (fact_init original_input) fact_step (fact_invariant original_input). + invariantFor (factorial_sys original_input) (fact_invariant original_input). Proof. simplify. apply invariant_induction; simplify. @@ -235,3 +232,39 @@ Proof. rewrite H. ring. Qed. + +(* Therefore, every reachable state satisfies this invariant. *) +Theorem fact_invariant_always : forall original_input s s', + (factorial_sys original_input).(Step)^* s s' + -> (factorial_sys original_input).(Initial) s + -> fact_invariant original_input s'. +Proof. + simplify. + eapply use_invariant. + apply fact_invariant_ok. + eassumption. + assumption. +Qed. + +(* Therefore, any final state has the right answer! *) +Lemma fact_ok' : forall original_input s, + fact_final s + -> fact_invariant original_input s + -> s = AnswerIs (fact original_input). +Proof. + invert 1; simplify; equality. +Qed. + +Theorem fact_ok : forall original_input s s', + (factorial_sys original_input).(Step)^* s s' + -> (factorial_sys original_input).(Initial) s + -> fact_final s' + -> s' = AnswerIs (fact original_input). +Proof. + simplify. + apply fact_ok'. + assumption. + eapply fact_invariant_always. + eassumption. + assumption. +Qed. diff --git a/_CoqProject b/_CoqProject index f036d65..a86a67a 100644 --- a/_CoqProject +++ b/_CoqProject @@ -9,3 +9,4 @@ BasicSyntax_template.v BasicSyntax.v Interpreters_template.v Interpreters.v +TransitionSystems.v