src/ZF/Constructible/AC_in_L.thy

proof streamlining

(*  Title:      ZF/Constructible/AC_in_L.thy
    ID: $Id$
    Author:     Lawrence C Paulson, Cambridge University Computer Laboratory
*)

header {* The Axiom of Choice Holds in L! *}

theory AC_in_L = Formula:

subsection{*Extending a Wellordering over a List -- Lexicographic Power*}

text{*This could be moved into a library.*}

consts
  rlist   :: "[i,i]=>i"

inductive
  domains "rlist(A,r)" \<subseteq> "list(A) * list(A)"
  intros
    shorterI:
      "[| length(l') < length(l); l' \<in> list(A); l \<in> list(A) |]
       ==> <l', l> \<in> rlist(A,r)"

    sameI:
      "[| <l',l> \<in> rlist(A,r); a \<in> A |]
       ==> <Cons(a,l'), Cons(a,l)> \<in> rlist(A,r)"

    diffI:
      "[| length(l') = length(l); <a',a> \<in> r;
          l' \<in> list(A); l \<in> list(A); a' \<in> A; a \<in> A |]
       ==> <Cons(a',l'), Cons(a,l)> \<in> rlist(A,r)"
  type_intros list.intros


subsubsection{*Type checking*}

lemmas rlist_type = rlist.dom_subset

lemmas field_rlist = rlist_type [THEN field_rel_subset]

subsubsection{*Linearity*}

lemma rlist_Nil_Cons [intro]:
    "[|a \<in> A; l \<in> list(A)|] ==> <[], Cons(a,l)> \<in> rlist(A, r)"
by (simp add: shorterI)

lemma linear_rlist:
    "linear(A,r) ==> linear(list(A),rlist(A,r))"
apply (simp (no_asm_simp) add: linear_def)
apply (rule ballI)
apply (induct_tac x)
 apply (rule ballI)
 apply (induct_tac y)
  apply (simp_all add: shorterI)
apply (rule ballI)
apply (erule_tac a=y in list.cases)
 apply (rename_tac [2] a2 l2)
 apply (rule_tac [2] i = "length(l)" and j = "length(l2)" in Ord_linear_lt)
     apply (simp_all add: shorterI)
apply (erule_tac x=a and y=a2 in linearE)
    apply (simp_all add: diffI)
apply (blast intro: sameI)
done


subsubsection{*Well-foundedness*}

text{*Nothing preceeds Nil in this ordering.*}
inductive_cases rlist_NilE: " <l,[]> \<in> rlist(A,r)"

inductive_cases rlist_ConsE: " <l', Cons(x,l)> \<in> rlist(A,r)"

lemma not_rlist_Nil [simp]: " <l,[]> \<notin> rlist(A,r)"
by (blast intro: elim: rlist_NilE)

lemma rlist_imp_length_le: "<l',l> \<in> rlist(A,r) ==> length(l') \<le> length(l)"
apply (erule rlist.induct)
apply (simp_all add: leI)
done

lemma wf_on_rlist_n:
  "[| n \<in> nat; wf[A](r) |] ==> wf[{l \<in> list(A). length(l) = n}](rlist(A,r))"
apply (induct_tac n)
 apply (rule wf_onI2, simp)
apply (rule wf_onI2, clarify)
apply (erule_tac a=y in list.cases, clarify)
 apply (simp (no_asm_use))
apply clarify
apply (simp (no_asm_use))
apply (subgoal_tac "\<forall>l2 \<in> list(A). length(l2) = x --> Cons(a,l2) \<in> B", blast)
apply (erule_tac a=a in wf_on_induct, assumption)
apply (rule ballI)
apply (rule impI)
apply (erule_tac a=l2 in wf_on_induct, blast, clarify)
apply (rename_tac a' l2 l')
apply (drule_tac x="Cons(a',l')" in bspec, typecheck)
apply simp
apply (erule mp, clarify)
apply (erule rlist_ConsE, auto)
done

lemma list_eq_UN_length: "list(A) = (\<Union>n\<in>nat. {l \<in> list(A). length(l) = n})"
by (blast intro: length_type)


lemma wf_on_rlist: "wf[A](r) ==> wf[list(A)](rlist(A,r))"
apply (subst list_eq_UN_length)
apply (rule wf_on_Union)
  apply (rule wf_imp_wf_on [OF wf_Memrel [of nat]])
 apply (simp add: wf_on_rlist_n)
apply (frule rlist_type [THEN subsetD])
apply (simp add: length_type)
apply (drule rlist_imp_length_le)
apply (erule leE)
apply (simp_all add: lt_def)
done


lemma wf_rlist: "wf(r) ==> wf(rlist(field(r),r))"
apply (simp add: wf_iff_wf_on_field)
apply (rule wf_on_subset_A [OF _ field_rlist])
apply (blast intro: wf_on_rlist)
done

lemma well_ord_rlist:
     "well_ord(A,r) ==> well_ord(list(A), rlist(A,r))"
apply (rule well_ordI)
apply (simp add: well_ord_def wf_on_rlist)
apply (simp add: well_ord_def tot_ord_def linear_rlist)
done


subsection{*An Injection from Formulas into the Natural Numbers*}

text{*There is a well-known bijection between @{term "nat*nat"} and @{term
nat} given by the expression f(m,n) = triangle(m+n) + m, where triangle(k)
enumerates the triangular numbers and can be defined by triangle(0)=0,
triangle(succ(k)) = succ(k + triangle(k)).  Some small amount of effort is
needed to show that f is a bijection.  We already know that such a bijection exists by the theorem @{text well_ord_InfCard_square_eq}:
@{thm[display] well_ord_InfCard_square_eq[no_vars]}

However, this result merely states that there is a bijection between the two
sets.  It provides no means of naming a specific bijection.  Therefore, we
conduct the proofs under the assumption that a bijection exists.  The simplest
way to organize this is to use a locale.*}

text{*Locale for any arbitrary injection between @{term "nat*nat"}
      and @{term nat}*}
locale Nat_Times_Nat =
  fixes fn
  assumes fn_inj: "fn \<in> inj(nat*nat, nat)"


consts   enum :: "[i,i]=>i"
primrec
  "enum(f, Member(x,y)) = f ` <0, f ` <x,y>>"
  "enum(f, Equal(x,y)) = f ` <1, f ` <x,y>>"
  "enum(f, Nand(p,q)) = f ` <2, f ` <enum(f,p), enum(f,q)>>"
  "enum(f, Forall(p)) = f ` <succ(2), enum(f,p)>"

lemma (in Nat_Times_Nat) fn_type [TC,simp]:
    "[|x \<in> nat; y \<in> nat|] ==> fn`<x,y> \<in> nat"
by (blast intro: inj_is_fun [OF fn_inj] apply_funtype)

lemma (in Nat_Times_Nat) fn_iff:
    "[|x \<in> nat; y \<in> nat; u \<in> nat; v \<in> nat|]
     ==> (fn`<x,y> = fn`<u,v>) <-> (x=u & y=v)"
by (blast dest: inj_apply_equality [OF fn_inj])

lemma (in Nat_Times_Nat) enum_type [TC,simp]:
    "p \<in> formula ==> enum(fn,p) \<in> nat"
by (induct_tac p, simp_all)

lemma (in Nat_Times_Nat) enum_inject [rule_format]:
    "p \<in> formula ==> \<forall>q\<in>formula. enum(fn,p) = enum(fn,q) --> p=q"
apply (induct_tac p, simp_all)
   apply (rule ballI)
   apply (erule formula.cases)
   apply (simp_all add: fn_iff)
  apply (rule ballI)
  apply (erule formula.cases)
  apply (simp_all add: fn_iff)
 apply (rule ballI)
 apply (erule_tac a=qa in formula.cases)
 apply (simp_all add: fn_iff)
 apply blast
apply (rule ballI)
apply (erule_tac a=q in formula.cases)
apply (simp_all add: fn_iff, blast)
done

lemma (in Nat_Times_Nat) inj_formula_nat:
    "(\<lambda>p \<in> formula. enum(fn,p)) \<in> inj(formula, nat)"
apply (simp add: inj_def lam_type)
apply (blast intro: enum_inject)
done

lemma (in Nat_Times_Nat) well_ord_formula:
    "well_ord(formula, measure(formula, enum(fn)))"
apply (rule well_ord_measure, simp)
apply (blast intro: enum_inject)
done

lemmas nat_times_nat_lepoll_nat =
    InfCard_nat [THEN InfCard_square_eqpoll, THEN eqpoll_imp_lepoll]


text{*Not needed--but interesting?*}
theorem formula_lepoll_nat: "formula \<lesssim> nat"
apply (insert nat_times_nat_lepoll_nat)
apply (unfold lepoll_def)
apply (blast intro: Nat_Times_Nat.inj_formula_nat Nat_Times_Nat.intro)
done


subsection{*Defining the Wellordering on @{term "DPow(A)"}*}

text{*The objective is to build a wellordering on @{term "DPow(A)"} from a
given one on @{term A}.  We first introduce wellorderings for environments,
which are lists built over @{term "A"}.  We combine it with the enumeration of
formulas.  The order type of the resulting wellordering gives us a map from
(environment, formula) pairs into the ordinals.  For each member of @{term
"DPow(A)"}, we take the minimum such ordinal.  This yields a wellordering of
@{term "DPow(A)-A"}, namely the set of elements just introduced, which we then
extend to the full set @{term "DPow(A)"}.*}

constdefs
  env_form_r :: "[i,i,i]=>i"
    --{*wellordering on (environment, formula) pairs*}
   "env_form_r(f,r,A) ==
      rmult(list(A), rlist(A, r),
	    formula, measure(formula, enum(f)))"

  env_form_map :: "[i,i,i,i]=>i"
    --{*map from (environment, formula) pairs to ordinals*}
   "env_form_map(f,r,A,z)
      == ordermap(list(A) * formula, env_form_r(f,r,A)) ` z"

  DPow_new_ord :: "[i,i,i,i,i]=>o"
    --{*predicate that holds if @{term k} is a valid index for @{term X}*}
   "DPow_new_ord(f,r,A,X,k) ==
           \<exists>env \<in> list(A). \<exists>p \<in> formula.
             arity(p) \<le> succ(length(env)) &
             X = {x\<in>A. sats(A, p, Cons(x,env))} &
             env_form_map(f,r,A,<env,p>) = k"

  DPow_new_least :: "[i,i,i,i]=>i"
    --{*function yielding the smallest index for @{term X}*}
   "DPow_new_least(f,r,A,X) == \<mu>k. DPow_new_ord(f,r,A,X,k)"

  DPow_new_r :: "[i,i,i]=>i"
    --{*a wellordering on the difference set @{term "DPow(A)-A"}*}
   "DPow_new_r(f,r,A) == measure(DPow(A)-A, DPow_new_least(f,r,A))"

  DPow_r :: "[i,i,i]=>i"
    --{*a wellordering on @{term "DPow(A)"}*}
   "DPow_r(f,r,A) == (DPow_new_r(f,r,A) Un (A * (DPow(A)-A))) Un r"


lemma (in Nat_Times_Nat) well_ord_env_form_r:
    "well_ord(A,r)
     ==> well_ord(list(A) * formula, env_form_r(fn,r,A))"
by (simp add: env_form_r_def well_ord_rmult well_ord_rlist well_ord_formula)

lemma (in Nat_Times_Nat) Ord_env_form_map:
    "[|well_ord(A,r); z \<in> list(A) * formula|]
     ==> Ord(env_form_map(fn,r,A,z))"
by (simp add: env_form_map_def Ord_ordermap well_ord_env_form_r)

lemma DPow_imp_ex_DPow_new_ord:
    "X \<in> DPow(A) ==> \<exists>k. DPow_new_ord(fn,r,A,X,k)"
apply (simp add: DPow_new_ord_def)
apply (blast dest!: DPowD)
done

lemma (in Nat_Times_Nat) DPow_new_ord_imp_Ord:
     "[|DPow_new_ord(fn,r,A,X,k); well_ord(A,r)|] ==> Ord(k)"
apply (simp add: DPow_new_ord_def, clarify)
apply (simp add: Ord_env_form_map)
done

lemma (in Nat_Times_Nat) DPow_imp_DPow_new_least:
    "[|X \<in> DPow(A); well_ord(A,r)|]
     ==> DPow_new_ord(fn, r, A, X, DPow_new_least(fn,r,A,X))"
apply (simp add: DPow_new_least_def)
apply (blast dest: DPow_imp_ex_DPow_new_ord intro: DPow_new_ord_imp_Ord LeastI)
done

lemma (in Nat_Times_Nat) env_form_map_inject:
    "[|env_form_map(fn,r,A,u) = env_form_map(fn,r,A,v); well_ord(A,r);
       u \<in> list(A) * formula;  v \<in> list(A) * formula|]
     ==> u=v"
apply (simp add: env_form_map_def)
apply (rule inj_apply_equality [OF bij_is_inj, OF ordermap_bij,
                                OF well_ord_env_form_r], assumption+)
done


lemma (in Nat_Times_Nat) DPow_new_ord_unique:
    "[|DPow_new_ord(fn,r,A,X,k); DPow_new_ord(fn,r,A,Y,k); well_ord(A,r)|]
     ==> X=Y"
apply (simp add: DPow_new_ord_def, clarify)
apply (drule env_form_map_inject, auto)
done

lemma (in Nat_Times_Nat) well_ord_DPow_new_r:
    "well_ord(A,r) ==> well_ord(DPow(A)-A, DPow_new_r(fn,r,A))"
apply (simp add: DPow_new_r_def)
apply (rule well_ord_measure)
 apply (simp add: DPow_new_least_def Ord_Least, clarify)
apply (drule DPow_imp_DPow_new_least, assumption)+
apply simp
apply (blast intro: DPow_new_ord_unique)
done

lemma DPow_new_r_subset: "DPow_new_r(f,r,A) <= (DPow(A)-A) * (DPow(A)-A)"
by (simp add: DPow_new_r_def measure_type)

lemma (in Nat_Times_Nat) linear_DPow_r:
    "well_ord(A,r)
     ==> linear(DPow(A), DPow_r(fn, r, A))"
apply (frule well_ord_DPow_new_r)
apply (drule well_ord_is_linear)+
apply (auto simp add: linear_def DPow_r_def)
done


lemma (in Nat_Times_Nat) wf_DPow_new_r:
    "well_ord(A,r) ==> wf(DPow_new_r(fn,r,A))"
apply (rule well_ord_DPow_new_r [THEN well_ord_is_wf, THEN wf_on_imp_wf],
       assumption+)
apply (rule DPow_new_r_subset)
done

lemma (in Nat_Times_Nat) well_ord_DPow_r:
    "[|well_ord(A,r); r \<subseteq> A * A|]
     ==> well_ord(DPow(A), DPow_r(fn,r,A))"
apply (rule well_ordI [OF wf_imp_wf_on])
 prefer 2 apply (blast intro: linear_DPow_r)
apply (simp add: DPow_r_def)
apply (rule wf_Un)
  apply (cut_tac DPow_new_r_subset [of fn r A], blast)
 apply (rule wf_Un)
   apply (cut_tac DPow_new_r_subset [of fn r A], blast)
  apply (blast intro: wf_DPow_new_r)
 apply (simp add: wf_times Diff_disjoint)
apply (blast intro: well_ord_is_wf wf_on_imp_wf)
done

lemma (in Nat_Times_Nat) DPow_r_type:
    "[|r \<subseteq> A * A; A \<subseteq> DPow(A)|]
     ==> DPow_r(fn,r,A) \<subseteq> DPow(A) * DPow(A)"
apply (simp add: DPow_r_def DPow_new_r_def measure_def, blast)
done		


subsection{*Limit Construction for Well-Orderings*}

text{*Now we work towards the transfinite definition of wellorderings for
@{term "Lset(i)"}.  We assume as an inductive hypothesis that there is a family
of wellorderings for smaller ordinals.*}

constdefs
  rlimit :: "[i,i=>i]=>i"
  --{*expresses the wellordering at limit ordinals.*}
    "rlimit(i,r) ==
       {z: Lset(i) * Lset(i).
        \<exists>x' x. z = <x',x> &
               (lrank(x') < lrank(x) |
                (lrank(x') = lrank(x) & <x',x> \<in> r(succ(lrank(x)))))}"

  Lset_new :: "i=>i"
  --{*This constant denotes the set of elements introduced at level
      @{term "succ(i)"}*}
    "Lset_new(i) == {x \<in> Lset(succ(i)). lrank(x) = i}"

lemma Lset_new_iff_lrank_eq:
     "Ord(i) ==> x \<in> Lset_new(i) <-> L(x) & lrank(x) = i"
by (auto simp add: Lset_new_def Lset_iff_lrank_lt)

lemma Lset_new_eq:
     "Ord(i) ==> Lset_new(i) = Lset(succ(i)) - Lset(i)"
apply (rule equality_iffI)
apply (simp add: Lset_new_iff_lrank_eq Lset_iff_lrank_lt, auto)
apply (blast elim: leE)
done

lemma Limit_Lset_eq2:
    "Limit(i) ==> Lset(i) = (\<Union>j\<in>i. Lset_new(j))"
apply (simp add: Limit_Lset_eq)
apply (rule equalityI)
 apply safe
 apply (subgoal_tac "Ord(y)")
  prefer 2 apply (blast intro: Ord_in_Ord Limit_is_Ord)
 apply (simp_all add: Limit_is_Ord Lset_iff_lrank_lt Lset_new_def
                      Ord_mem_iff_lt)
 apply (blast intro: lt_trans)
apply (rule_tac x = "succ(lrank(x))" in bexI)
 apply (simp add: Lset_succ_lrank_iff)
apply (blast intro: Limit_has_succ ltD)
done

lemma wf_on_Lset:
    "wf[Lset(succ(j))](r(succ(j))) ==> wf[Lset_new(j)](rlimit(i,r))"
apply (simp add: wf_on_def Lset_new_def)
apply (erule wf_subset)
apply (force simp add: rlimit_def)
done

lemma wf_on_rlimit:
    "[|Limit(i); \<forall>j<i. wf[Lset(j)](r(j)) |] ==> wf[Lset(i)](rlimit(i,r))"
apply (simp add: Limit_Lset_eq2)
apply (rule wf_on_Union)
  apply (rule wf_imp_wf_on [OF wf_Memrel [of i]])
 apply (blast intro: wf_on_Lset Limit_has_succ Limit_is_Ord ltI)
apply (force simp add: rlimit_def Limit_is_Ord Lset_iff_lrank_lt Lset_new_def
                       Ord_mem_iff_lt)
done

lemma linear_rlimit:
    "[|Limit(i); \<forall>j<i. linear(Lset(j), r(j)) |]
     ==> linear(Lset(i), rlimit(i,r))"
apply (frule Limit_is_Ord)
apply (simp add: Limit_Lset_eq2 Lset_new_def)
apply (simp add: linear_def rlimit_def Ball_def lt_Ord Lset_iff_lrank_lt)
apply (simp add: ltI, clarify)
apply (rename_tac u v)
apply (rule_tac i="lrank(u)" and j="lrank(v)" in Ord_linear_lt, simp_all) 
apply (drule_tac x="succ(lrank(u) Un lrank(v))" in ospec)
 apply (simp add: ltI)
apply (drule_tac x=u in spec, simp)
apply (drule_tac x=v in spec, simp)
done

lemma well_ord_rlimit:
    "[|Limit(i); \<forall>j<i. well_ord(Lset(j), r(j)) |]
     ==> well_ord(Lset(i), rlimit(i,r))"
by (blast intro: well_ordI wf_on_rlimit well_ord_is_wf
                           linear_rlimit well_ord_is_linear)


subsection{*Transfinite Definition of the Wellordering on @{term "L"}*}

constdefs
 L_r :: "[i, i] => i"
  "L_r(f,i) ==
      transrec(i, \<lambda>x r.
         if x=0 then 0
         else if Limit(x) then rlimit(x, \<lambda>y. r`y)
         else DPow_r(f, r ` Arith.pred(x), Lset(Arith.pred(x))))"

subsubsection{*The Corresponding Recursion Equations*}
lemma [simp]: "L_r(f,0) = 0"
by (simp add: def_transrec [OF L_r_def])

lemma [simp]: "Ord(i) ==> L_r(f, succ(i)) = DPow_r(f, L_r(f,i), Lset(i))"
by (simp add: def_transrec [OF L_r_def])

text{*Needed to handle the limit case*}
lemma L_r_eq:
     "Ord(i) ==>
      L_r(f, i) =
      (if i = 0 then 0
       else if Limit(i) then rlimit(i, op `(Lambda(i, L_r(f))))
       else DPow_r (f, Lambda(i, L_r(f)) ` Arith.pred(i),
                    Lset(Arith.pred(i))))"
apply (induct i rule: trans_induct3_rule)
apply (simp_all add: def_transrec [OF L_r_def])
done

lemma rlimit_eqI:
     "[|Limit(i); \<forall>j<i. r'(j) = r(j)|] ==> rlimit(i,r) = rlimit(i,r')"
apply (simp add: rlimit_def)
apply (rule refl iff_refl Collect_cong ex_cong conj_cong)+
apply (simp add: Limit_is_Ord Lset_lrank_lt)
done

text{*I don't know why the limit case is so complicated.*}
lemma [simp]: "Limit(i) ==> L_r(f,i) = rlimit(i, L_r(f))"
apply (simp add: Limit_nonzero def_transrec [OF L_r_def])
apply (rule rlimit_eqI, assumption)
apply (rule oallI)
apply (frule lt_Ord)
apply (simp only: beta ltD L_r_eq [symmetric])
done

lemma (in Nat_Times_Nat) L_r_type:
    "Ord(i) ==> L_r(fn,i) \<subseteq> Lset(i) * Lset(i)"
apply (induct i rule: trans_induct3_rule)
  apply (simp_all add: Lset_succ DPow_r_type well_ord_DPow_r rlimit_def
                       Transset_subset_DPow [OF Transset_Lset], blast)
done

lemma (in Nat_Times_Nat) well_ord_L_r:
    "Ord(i) ==> well_ord(Lset(i), L_r(fn,i))"
apply (induct i rule: trans_induct3_rule)
apply (simp_all add: well_ord0 Lset_succ L_r_type well_ord_DPow_r
                     well_ord_rlimit ltD)
done

lemma well_ord_L_r:
    "Ord(i) ==> \<exists>r. well_ord(Lset(i), r)"
apply (insert nat_times_nat_lepoll_nat)
apply (unfold lepoll_def)
apply (blast intro: Nat_Times_Nat.well_ord_L_r Nat_Times_Nat.intro)
done


text{*Locale for proving results under the assumption @{text "V=L"}*}
locale V_equals_L =
  assumes VL: "L(x)"

text{*The Axiom of Choice holds in @{term L}!  Or, to be precise, the
Wellordering Theorem.*}
theorem (in V_equals_L) AC: "\<exists>r. well_ord(x,r)"
apply (insert Transset_Lset VL [of x])
apply (simp add: Transset_def L_def)
apply (blast dest!: well_ord_L_r intro: well_ord_subset)
done

end