Multiset: Insertion Sort With Multisets
Require Import Coq.Strings.String.
From VFA Require Import Perm.
From VFA Require Import Sort.
Require Export FunctionalExtensionality.
In this chapter we will be using natural numbers for two different
purposes: the values in the lists that we sort, and the
multiplicity (number of times occurring) of those values. To keep
things straight, we'll use the value type for values, and nat
for multiplicities.
Just like sets, multisets have operators for union, for the
empty multiset, and the multiset with just a single element.
Definition empty : multiset :=
fun x => 0.
Definition union (a b : multiset) : multiset :=
fun x => a x + b x.
Definition singleton (v: value) : multiset :=
fun x => if x =? v then 1 else 0.
Exercise: 1 star (union_assoc)
Since multisets are represented as functions, to prove that one multiset equals another we must use the axiom of functional extensionality.Lemma union_assoc: forall a b c : multiset,
union a (union b c) = union (union a b) c.
Proof.
intros.
extensionality x.
Admitted.
☐
Remark on efficiency: These multisets aren't very efficient. If
you wrote programs with them, the programs would run slowly. However,
we're using them for specifications, not for programs. Our
multisets built with union and singleton will never really
execute on any large-scale inputs; they're only used in the proof
of correctness of algorithms such as sort. Therefore, their
inefficiency is not a problem.
Contents of a list, as a multiset:
Fixpoint contents (al: list value) : multiset :=
match al with
| a :: bl => union (singleton a) (contents bl)
| nil => empty
end.
Recall the insertion-sort program from Sort.v. Note that it
handles lists with repeated elements just fine.
Example sort_pi: sort [3;1;4;1;5;9;2;6;5;3;5] = [1;1;2;3;3;4;5;5;5;6;9].
Proof. simpl. reflexivity. Qed.
Example sort_pi_same_contents:
contents (sort [3;1;4;1;5;9;2;6;5;3;5]) = contents [3;1;4;1;5;9;2;6;5;3;5].
Proof.
extensionality x.
do 10 (destruct x; try reflexivity).
Qed.
Correctness
Definition is_a_sorting_algorithm' (f: list nat -> list nat) :=
forall al, contents al = contents (f al) /\ sorted (f al).
Exercise: 3 stars (insert_contents)
First, prove the auxiliary lemma insert_contents, which will be useful for proving sort_contents below. Your proof will be by induction. You do not need to use extensionality.
☐
Now we wrap it all up.
Theorem insertion_sort_correct:
is_a_sorting_algorithm' sort.
Proof.
split. apply sort_contents. apply sort_sorted.
Qed.
Exercise: 1 star (permutations_vs_multiset)
Compare your proofs of insert_perm, sort_perm with your proofs of insert_contents, sort_contents. Which proofs are simpler?- easier with permutations,
- easier with multisets
- about the same.
- permutations or
- multisets
☐
Permutations and Multisets
Exercise: 3 stars (perm_contents)
The forward direction is easy, by induction on the evidence for Permutation:Lemma perm_contents:
forall al bl : list nat,
Permutation al bl -> contents al = contents bl.
Admitted.
☐
The other direction,
contents al = contents bl -> Permutation al bl,
is surprisingly difficult. (Or maybe there's an easy way
that I didn't find.)
Fixpoint list_delete (al: list value) (v: value) :=
match al with
| x::bl => if x =? v then bl else x :: list_delete bl v
| nil => nil
end.
Definition multiset_delete (m: multiset) (v: value) :=
fun x => if x =? v then pred(m x) else m x.
Lemma delete_contents:
forall v al,
contents (list_delete al v) = multiset_delete (contents al) v.
Proof.
intros.
extensionality x.
induction al.
simpl. unfold empty, multiset_delete.
bdestruct (x =? v); auto.
simpl.
bdestruct (a =? v).
Admitted.
forall v al,
contents (list_delete al v) = multiset_delete (contents al) v.
Proof.
intros.
extensionality x.
induction al.
simpl. unfold empty, multiset_delete.
bdestruct (x =? v); auto.
simpl.
bdestruct (a =? v).
Admitted.
Lemma contents_in:
forall (a: value) (bl: list value) , contents bl a > 0 -> In a bl.
Proof.
Admitted.
forall (a: value) (bl: list value) , contents bl a > 0 -> In a bl.
Proof.
Admitted.
Lemma in_perm_delete:
forall a bl,
In a bl -> Permutation (a :: list_delete bl a) bl.
Proof.
Admitted.
forall a bl,
In a bl -> Permutation (a :: list_delete bl a) bl.
Proof.
Admitted.
Lemma contents_perm:
forall al bl, contents al = contents bl -> Permutation al bl.
Proof.
induction al; destruct bl; intro.
auto.
simpl in H.
contradiction (contents_perm_aux _ _ H).
simpl in H. symmetry in H.
contradiction (contents_perm_aux _ _ H).
specialize (IHal (list_delete (v :: bl) a)).
remember (v::bl) as cl.
clear v bl Heqcl.
forall al bl, contents al = contents bl -> Permutation al bl.
Proof.
induction al; destruct bl; intro.
auto.
simpl in H.
contradiction (contents_perm_aux _ _ H).
simpl in H. symmetry in H.
contradiction (contents_perm_aux _ _ H).
specialize (IHal (list_delete (v :: bl) a)).
remember (v::bl) as cl.
clear v bl Heqcl.
From this point on, you don't need induction.
Use the lemmas perm_trans, delete_contents,
in_perm_delete, contents_in. At certain points
you'll need to unfold the definitions of
multiset_delete, union, singleton.
Admitted.
☐
Theorem same_contents_iff_perm:
forall al bl, contents al = contents bl <-> Permutation al bl.
Proof.
intros. split. apply contents_perm. apply perm_contents.
Qed.
forall al bl, contents al = contents bl <-> Permutation al bl.
Proof.
intros. split. apply contents_perm. apply perm_contents.
Qed.
Therefore, it doesn't matter whether you prove your sorting
algorithm using the Permutations method or the multiset method.
Corollary sort_specifications_equivalent:
forall sort, is_a_sorting_algorithm sort <-> is_a_sorting_algorithm' sort.
Proof.
unfold is_a_sorting_algorithm, is_a_sorting_algorithm'.
split; intros;
destruct (H al); split; auto;
apply same_contents_iff_perm; auto.
Qed.