(* Title: ZF/Zorn.thy
Author: Lawrence C Paulson, Cambridge University Computer Laboratory
Copyright 1994 University of Cambridge
*)
section ‹ Zorn's Lemma›
theory Zorn imports OrderArith AC Inductive begin
text ‹ Based upon the unpublished article ``Towards the Mechanization of the
Proofs of Some Classical Theorems of Set Theory,'' by Abrial and Laffitte. ›
definition
Subset_rel :: "i==> i" where
"Subset_rel(A) ≡ {z ∈ A*A . ∃ x y. z=⟨ x,y⟩ ∧ x<=y ∧ x≠ y}"
definition
chain :: "i==> i" where
"chain(A) ≡ {F ∈ Pow(A). ∀ X∈ F. ∀ Y∈ F. X<=Y | Y<=X}"
definition
super :: "[i,i]==> i" where
"super(A,c) ≡ {d ∈ chain(A). c<=d ∧ c≠ d}"
definition
maxchain :: "i==> i" where
"maxchain(A) ≡ {c ∈ chain(A). super(A,c)=0}"
definition
increasing :: "i==> i" where
"increasing(A) ≡ {f ∈ Pow(A)->Pow(A). ∀ x. x<=A ⟶ x<=f`x}"
text ‹ Lemma for the inductive definition below›
lemma Union_in_Pow: "Y ∈ Pow(Pow(A)) ==> ∪ (Y) ∈ Pow(A)"
by blast
text ‹ We could make the inductive definition conditional on
🍋 ‹ next ∈ increasing(S)›
but instead we make this a side-condition of an introduction rule. Thus
the induction rule lets us assume that condition! Many inductive proofs
are therefore unconditional. ›
consts
"TFin" :: "[i,i]==> i"
inductive
domains "TFin(S,next)" ⊆ "Pow(S)"
intros
nextI: "[ x ∈ TFin(S,next); next ∈ increasing(S)]
==> next`x ∈ TFin(S,next)"
Pow_UnionI: "Y ∈ Pow(TFin(S,next)) ==> ∪ (Y) ∈ TFin(S,next)"
monos Pow_mono
con_defs increasing_def
type_intros CollectD1 [THEN apply_funtype] Union_in_Pow
subsection ‹ Mathematical Preamble›
lemma Union_lemma0: "(∀ x∈ C. x<=A | B<=x) ==> ∪ (C)<=A | B<=∪ (C)"
by blast
lemma Inter_lemma0:
"[ c ∈ C; ∀ x∈ C. A<=x | x<=B] ==> A ⊆ ∩ (C) | ∩ (C) ⊆ B"
by blast
subsection ‹ The Transfinite Construction›
lemma increasingD1: "f ∈ increasing(A) ==> f ∈ Pow(A)->Pow(A)"
unfolding increasing_def
apply (erule CollectD1)
done
lemma increasingD2: "[ f ∈ increasing(A); x<=A] ==> x ⊆ f`x"
by (unfold increasing_def, blast)
lemmas TFin_UnionI = PowI [THEN TFin.Pow_UnionI]
lemmas TFin_is_subset = TFin.dom_subset [THEN subsetD, THEN PowD]
text ‹ Structural induction on 🍋 ‹ TFin(S,next)› \›
lemma TFin_induct:
"[ n ∈ TFin(S,next);
∧ x. [ x ∈ TFin(S,next); P(x); next ∈ increasing(S)] ==> P(next`x);
∧ Y. [ Y ⊆ TFin(S,next); ∀ y∈ Y. P(y)] ==> P(∪ (Y))
\ ==> P(n)"
by (erule TFin.induct, blast+)
subsection ‹ Some Properties of the Transfinite Construction›
lemmas increasing_trans = subset_trans [OF _ increasingD2,
OF _ _ TFin_is_subset]
text ‹ Lemma 1 of section 3.1›
lemma TFin_linear_lemma1:
"[ n ∈ TFin(S,next); m ∈ TFin(S,next);
∀ x ∈ TFin(S,next) . x<=m ⟶ x=m | next`x<=m]
==> n<=m | next`m<=n"
apply (erule TFin_induct)
apply (erule_tac [2] Union_lemma0) (*or just Blast_tac*)
(*downgrade subsetI from intro! to intro*)
apply (blast dest: increasing_trans)
done
text ‹ Lemma 2 of section 3.2. Interesting in its own right!
Requires 🍋 ‹ next ∈ increasing(S)› i
lemma TFin_linear_lemma2:
"[ m ∈ TFin(S,next); next ∈ increasing(S)]
==> ∀ n ∈ TFin(S,next). n<=m ⟶ n=m | next`n ⊆ m"
apply (erule TFin_induct)
apply (rule impI [THEN ballI])
txt ‹ case split using ‹ TFin_linear_lemma1› \
apply (rule_tac n1 = n and m1 = x in TFin_linear_lemma1 [THEN disjE],
assumption+)
apply (blast del: subsetI
intro: increasing_trans subsetI, blast)
txt ‹ second induction step›
apply (rule impI [THEN ballI])
apply (rule Union_lemma0 [THEN disjE])
apply (erule_tac [3] disjI2)
prefer 2 apply blast
apply (rule ballI)
apply (drule bspec, assumption)
apply (drule subsetD, assumption)
apply (rule_tac n1 = n and m1 = x in TFin_linear_lemma1 [THEN disjE],
assumption+, blast)
apply (erule increasingD2 [THEN subset_trans, THEN disjI1])
apply (blast dest: TFin_is_subset)+
done
text ‹ a more convenient form for Lemma 2›
lemma TFin_subsetD:
"[ n<=m; m ∈ TFin(S,next); n ∈ TFin(S,next); next ∈ increasing(S)]
==> n=m | next`n ⊆ m"
by (blast dest: TFin_linear_lemma2 [rule_format])
text ‹ Consequences from section 3.3 -- Property 3.2, the ordering is total›
lemma TFin_subset_linear:
"[ m ∈ TFin(S,next); n ∈ TFin(S,next); next ∈ increasing(S)]
==> n ⊆ m | m<=n"
apply (rule disjE)
apply (rule TFin_linear_lemma1 [OF _ _TFin_linear_lemma2])
apply (assumption+, erule disjI2)
apply (blast del: subsetI
intro: subsetI increasingD2 [THEN subset_trans] TFin_is_subset)
done
text ‹ Lemma 3 of section 3.3›
lemma equal_next_upper:
"[ n ∈ TFin(S,next); m ∈ TFin(S,next); m = next`m] ==> n ⊆ m"
apply (erule TFin_induct)
apply (drule TFin_subsetD)
apply (assumption+, force, blast)
done
text ‹ Property 3.3 of section 3.3›
lemma equal_next_Union:
"[ m ∈ TFin(S,next); next ∈ increasing(S)]
==> m = next`m <-> m = ∪ (TFin(S,next))"
apply (rule iffI)
apply (rule Union_upper [THEN equalityI])
apply (rule_tac [2] equal_next_upper [THEN Union_least])
apply (assumption+)
apply (erule ssubst)
apply (rule increasingD2 [THEN equalityI], assumption)
apply (blast del: subsetI
intro: subsetI TFin_UnionI TFin.nextI TFin_is_subset)+
done
subsection ‹ Hausdorff's Theorem: Every Set Contains a Maximal Chain›
text ‹ NOTE: We assume the partial ordering is ‹ ⊆ › , the subset
relation! ›
text ‹ * Defining the "next" operation for Hausdorff's Theorem *›
lemma chain_subset_Pow: "chain(A) ⊆ Pow(A)"
unfolding chain_def
apply (rule Collect_subset)
done
lemma super_subset_chain: "super(A,c) ⊆ chain(A)"
unfolding super_def
apply (rule Collect_subset)
done
lemma maxchain_subset_chain: "maxchain(A) ⊆ chain(A)"
unfolding maxchain_def
apply (rule Collect_subset)
done
lemma choice_super:
"[ ch ∈ (∏ X ∈ Pow(chain(S)) - {0}. X); X ∈ chain(S); X ∉ maxchain(S)]
==> ch ` super(S,X) ∈ super(S,X)"
apply (erule apply_type)
apply (unfold super_def maxchain_def, blast)
done
lemma choice_not_equals:
"[ ch ∈ (∏ X ∈ Pow(chain(S)) - {0}. X); X ∈ chain(S); X ∉ maxchain(S)]
==> ch ` super(S,X) ≠ X"
apply (rule notI)
apply (drule choice_super, assumption, assumption)
apply (simp add: super_def)
done
text ‹ This justifies Definition 4.4›
lemma Hausdorff_next_exists:
"ch ∈ (∏ X ∈ Pow(chain(S))-{0}. X) ==>
∃ next ∈ increasing(S). ∀ X ∈ Pow(S).
next`X = if(X ∈ chain(S)-maxchain(S), ch`super(S,X), X)"
apply (rule_tac x="λX∈ Pow(S).
if X ∈ chain(S) - maxchain(S) then ch ` super(S, X) else X"
in bexI)
apply force
unfolding increasing_def
apply (rule CollectI)
apply (rule lam_type)
apply (simp (no_asm_simp))
apply (blast dest: super_subset_chain [THEN subsetD]
chain_subset_Pow [THEN subsetD] choice_super)
txt ‹ Now, verify that it increases›
apply (simp (no_asm_simp) add: Pow_iff subset_refl)
apply safe
apply (drule choice_super)
apply (assumption+)
apply (simp add: super_def, blast)
done
text ‹ Lemma 4›
lemma TFin_chain_lemma4:
"[ c ∈ TFin(S,next);
ch ∈ (∏ X ∈ Pow(chain(S))-{0}. X);
next ∈ increasing(S);
∀ X ∈ Pow(S). next`X =
if(X ∈ chain(S)-maxchain(S), ch`super(S,X), X)]
==> c ∈ chain(S)"
apply (erule TFin_induct)
apply (simp (no_asm_simp) add: chain_subset_Pow [THEN subsetD, THEN PowD]
choice_super [THEN super_subset_chain [THEN subsetD]])
unfolding chain_def
apply (rule CollectI, blast, safe)
apply (rule_tac m1=B and n1=Ba in TFin_subset_linear [THEN disjE], fast+)
txt ‹ ‹ Blast_tac's› slow›
done
theorem Hausdorff: "∃ c. c ∈ maxchain(S)"
apply (rule AC_Pi_Pow [THEN exE])
apply (rule Hausdorff_next_exists [THEN bexE], assumption)
apply (rename_tac ch "next" )
apply (subgoal_tac "∪ (TFin (S,next)) ∈ chain (S) " )
prefer 2
apply (blast intro!: TFin_chain_lemma4 subset_refl [THEN TFin_UnionI])
apply (rule_tac x = "∪ (TFin (S,next))" in exI)
apply (rule classical)
apply (subgoal_tac "next ` Union(TFin (S,next)) = ∪ (TFin (S,next))" )
apply (rule_tac [2] equal_next_Union [THEN iffD2, symmetric])
apply (rule_tac [2] subset_refl [THEN TFin_UnionI])
prefer 2 apply assumption
apply (rule_tac [2] refl)
apply (simp add: subset_refl [THEN TFin_UnionI,
THEN TFin.dom_subset [THEN subsetD, THEN PowD]])
apply (erule choice_not_equals [THEN notE ])
apply (assumption+)
done
subsection ‹ Zorn's Lemma: If All Chains in S Have Upper Bounds In S,
then S contains a Maximal Element ›
text ‹ Used in the proof of Zorn's Lemma›
lemma chain_extend:
"[ c ∈ chain(A); z ∈ A; ∀ x ∈ c. x<=z] ==> cons(z,c) ∈ chain(A)"
by (unfold chain_def, blast)
lemma Zorn: "∀ c ∈ chain(S). ∪ (c) ∈ S ==> ∃ y ∈ S. ∀ z ∈ S. y<=z ⟶ y=z"
apply (rule Hausdorff [THEN exE])
apply (simp add: maxchain_def)
apply (rename_tac c)
apply (rule_tac x = "∪ (c)" in bexI)
prefer 2 apply blast
apply safe
apply (rename_tac z)
apply (rule classical)
apply (subgoal_tac "cons (z,c) ∈ super (S,c) " )
apply (blast elim: equalityE)
apply (unfold super_def, safe)
apply (fast elim: chain_extend)
apply (fast elim: equalityE)
done
text ‹ Alternative version of Zorn's Lemma›
theorem Zorn2:
"∀ c ∈ chain(S). ∃ y ∈ S. ∀ x ∈ c. x ⊆ y ==> ∃ y ∈ S. ∀ z ∈ S. y<=z ⟶ y=z"
apply (cut_tac Hausdorff maxchain_subset_chain)
apply (erule exE)
apply (drule subsetD, assumption)
apply (drule bspec, assumption, erule bexE)
apply (rule_tac x = y in bexI)
prefer 2 apply assumption
apply clarify
apply rule apply assumption
apply rule
apply (rule ccontr)
apply (frule_tac z=z in chain_extend)
apply (assumption, blast)
unfolding maxchain_def super_def
apply (blast elim!: equalityCE)
done
subsection ‹ Zermelo's Theorem: Every Set can be Well-Ordered›
text ‹ Lemma 5›
lemma TFin_well_lemma5:
"[ n ∈ TFin(S,next); Z ⊆ TFin(S,next); z:Z; ¬ ∩ (Z) ∈ Z]
==> ∀ m ∈ Z. n ⊆ m"
apply (erule TFin_induct)
prefer 2 apply blast txt ‹ second induction step is easy›
apply (rule ballI)
apply (rule bspec [THEN TFin_subsetD, THEN disjE], auto)
apply (subgoal_tac "m = ∩ (Z) " )
apply blast+
done
text ‹ Well-ordering of 🍋 ‹ TFin(S,next)› \›
lemma well_ord_TFin_lemma: "[ Z ⊆ TFin(S,next); z ∈ Z] ==> ∩ (Z) ∈ Z"
apply (rule classical)
apply (subgoal_tac "Z = {∪ (TFin (S,next))}" )
apply (simp (no_asm_simp) add: Inter_singleton)
apply (erule equal_singleton)
apply (rule Union_upper [THEN equalityI])
apply (rule_tac [2] subset_refl [THEN TFin_UnionI, THEN TFin_well_lemma5, THEN bspec], blast+)
done
text ‹ This theorem just packages the previous result›
lemma well_ord_TFin:
"next ∈ increasing(S)
==> well_ord(TFin(S,next), Subset_rel(TFin(S,next)))"
apply (rule well_ordI)
unfolding Subset_rel_def linear_def
txt ‹ Prove the well-foundedness goal›
apply (rule wf_onI)
apply (frule well_ord_TFin_lemma, assumption)
apply (drule_tac x = "∩ (Z) " in bspec, assumption)
apply blast
txt ‹ Now prove the linearity goal›
apply (intro ballI)
apply (case_tac "x=y" )
apply blast
txt ‹ The 🍋 ‹ x≠ y› case remains›
apply (rule_tac n1=x and m1=y in TFin_subset_linear [THEN disjE],
assumption+, blast+)
done
text ‹ * Defining the "next" operation for Zermelo's Theorem *›
lemma choice_Diff:
"[ ch ∈ (∏ X ∈ Pow(S) - {0}. X); X ⊆ S; X≠ S] ==> ch ` (S-X) ∈ S-X"
apply (erule apply_type)
apply (blast elim!: equalityE)
done
text ‹ This justifies Definition 6.1›
lemma Zermelo_next_exists:
"ch ∈ (∏ X ∈ Pow(S)-{0}. X) ==>
∃ next ∈ increasing(S). ∀ X ∈ Pow(S).
next`X = (if X=S then S else cons(ch`(S-X), X))"
apply (rule_tac x="λX∈ Pow(S). if X=S then S else cons(ch`(S-X), X)"
in bexI)
apply force
unfolding increasing_def
apply (rule CollectI)
apply (rule lam_type)
txt ‹ Type checking is surprisingly hard!›
apply (simp (no_asm_simp) add: Pow_iff cons_subset_iff subset_refl)
apply (blast intro!: choice_Diff [THEN DiffD1])
txt ‹ Verify that it increases›
apply (intro allI impI)
apply (simp add: Pow_iff subset_consI subset_refl)
done
text ‹ The construction of the injection›
lemma choice_imp_injection:
"[ ch ∈ (∏ X ∈ Pow(S)-{0}. X);
next ∈ increasing(S);
∀ X ∈ Pow(S). next`X = if(X=S, S, cons(ch`(S-X), X))]
==> (λ x ∈ S. ∪ ({y ∈ TFin(S,next). x ∉ y}))
∈ inj(S, TFin(S,next) - {S})"
apply (rule_tac d = "λy. ch` (S-y) " in lam_injective)
apply (rule DiffI)
apply (rule Collect_subset [THEN TFin_UnionI])
apply (blast intro!: Collect_subset [THEN TFin_UnionI] elim: equalityE)
apply (subgoal_tac "x ∉ ∪ ({y ∈ TFin (S,next) . x ∉ y}) " )
prefer 2 apply (blast elim: equalityE)
apply (subgoal_tac "∪ ({y ∈ TFin (S,next) . x ∉ y}) ≠ S" )
prefer 2 apply (blast elim: equalityE)
txt ‹ For proving ‹ x ∈ next`∪ (...)› .
Abrial and Laffitte's justification appears to be faulty. ›
apply (subgoal_tac "¬ next ` Union({y ∈ TFin (S,next) . x ∉ y})
⊆ ∪ ({y ∈ TFin (S,next) . x ∉ y}) " )
prefer 2
apply (simp del: Union_iff
add: Collect_subset [THEN TFin_UnionI, THEN TFin_is_subset]
Pow_iff cons_subset_iff subset_refl choice_Diff [THEN DiffD2])
apply (subgoal_tac "x ∈ next ` Union({y ∈ TFin (S,next) . x ∉ y}) " )
prefer 2
apply (blast intro!: Collect_subset [THEN TFin_UnionI] TFin.nextI)
txt ‹ End of the lemmas!›
apply (simp add: Collect_subset [THEN TFin_UnionI, THEN TFin_is_subset])
done
text ‹ The wellordering theorem›
theorem AC_well_ord: "∃ r. well_ord(S,r)"
apply (rule AC_Pi_Pow [THEN exE])
apply (rule Zermelo_next_exists [THEN bexE], assumption)
apply (rule exI)
apply (rule well_ord_rvimage)
apply (erule_tac [2] well_ord_TFin)
apply (rule choice_imp_injection [THEN inj_weaken_type], blast+)
done
subsection ‹ Zorn's Lemma for Partial Orders›
text ‹ Reimported from HOL by Clemens Ballarin.›
definition Chain :: "i ==> i" where
"Chain(r) = {A ∈ Pow(field(r)). ∀ a∈ A. ∀ b∈ A. ⟨ a, b⟩ ∈ r | ⟨ b, a⟩ ∈ r}"
lemma mono_Chain:
"r ⊆ s ==> Chain(r) ⊆ Chain(s)"
unfolding Chain_def
by blast
theorem Zorn_po:
assumes po: "Partial_order(r)"
and u: "∀ C∈ Chain(r). ∃ u∈ field(r). ∀ a∈ C. ⟨ a, u⟩ ∈ r"
shows "∃ m∈ field(r). ∀ a∈ field(r). ⟨ m, a⟩ ∈ r ⟶ a = m"
proof -
have "Preorder(r)" using po by (simp add: partial_order_on_def)
🍋 ‹ Mirror r in the set of subsets below (wrt r) elements of A (?).›
let ?B = "λx∈ field(r). r -`` {x}" let ?S = "?B `` field(r)"
have "∀ C∈ chain(?S). ∃ U∈ ?S. ∀ A∈ C. A ⊆ U"
proof (clarsimp simp: chain_def Subset_rel_def bex_image_simp)
fix C
assume 1: "C ⊆ ?S" and 2: "∀ A∈ C. ∀ B∈ C. A ⊆ B | B ⊆ A"
let ?A = "{x ∈ field(r). ∃ M∈ C. M = ?B`x}"
have "C = ?B `` ?A" using 1
apply (auto simp: image_def)
apply rule
apply rule
apply (drule subsetD) apply assumption
apply (erule CollectE)
apply rule apply assumption
apply (erule bexE)
apply rule prefer 2 apply assumption
apply rule
apply (erule lamE) apply simp
apply assumption
apply (thin_tac "C ⊆ X" for X)
apply (fast elim: lamE)
done
have "?A ∈ Chain(r)"
proof (simp add: Chain_def subsetI, intro conjI ballI impI)
fix a b
assume "a ∈ field(r)" "r -`` {a} ∈ C" "b ∈ field(r)" "r -`` {b} ∈ C"
hence "r -`` {a} ⊆ r -`` {b} | r -`` {b} ⊆ r -`` {a}" using 2 by auto
then show "⟨ a, b⟩ ∈ r | ⟨ b, a⟩ ∈ r"
using ‹ Preorder(r)› ‹ a ∈ field(r)› ‹ b ∈ field(r)›
by (simp add: subset_vimage1_vimage1_iff)
qed
then obtain u where uA: "u ∈ field(r)" "∀ a∈ ?A. ⟨ a, u⟩ ∈ r"
using u
apply auto
apply (drule bspec) apply assumption
apply auto
done
have "∀ A∈ C. A ⊆ r -`` {u}"
proof (auto intro!: vimageI)
fix a B
assume aB: "B ∈ C" "a ∈ B"
with 1 obtain x where "x ∈ field(r)" "B = r -`` {x}"
apply -
apply (drule subsetD) apply assumption
apply (erule imageE)
apply (erule lamE)
apply simp
done
then show "⟨ a, u⟩ ∈ r" using uA aB ‹ Preorder(r)›
by (auto simp: preorder_on_def refl_def) (blast dest: trans_onD)+
qed
then show "∃ U∈ field(r). ∀ A∈ C. A ⊆ r -`` {U}"
using ‹ u ∈ field(r)› ..
qed
from Zorn2 [OF this]
obtain m B where "m ∈ field(r)" "B = r -`` {m}"
"∀ x∈ field(r). B ⊆ r -`` {x} ⟶ B = r -`` {x}"
by (auto elim!: lamE simp: ball_image_simp)
then have "∀ a∈ field(r). ⟨ m, a⟩ ∈ r ⟶ a = m"
using po ‹ Preorder(r)› ‹ m ∈ field(r)›
by (auto simp: subset_vimage1_vimage1_iff Partial_order_eq_vimage1_vimage1_iff)
then show ?thesis using ‹ m ∈ field(r)› by blast
qed
end
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