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SSL Simplicial.thy

  Sprache: Isabelle
 

section Simplicial complexes

text 
 In this section we develop the basic theory of abstract simplicial complexes as a collection of
 finite sets, where the power set of each member set is contained in the collection. Note thain
  develop the basic theory of abstract simplicial complexes as a collection of
 consequence, but of some small practical consequence.
 
where the power seet of each of eac member set is contained in the collection. Note that in

 Simplicial
  P

 

  \<openGeometric

 
 The geometric notions attached to a simplicial complex of main interest to us are those of facets
 (subsets of codimension one), adjacency (sharing a facet in common), and chains of adjacent
 simplices.
 


 

  facetrel :: "'a set ==> bool" (infix 60)
 where "y Geometric notions


  facetrelI: "v
 using facetrel_def by fast

  facetrelI_card: "y those of facets
 using card1[of "x-y"] by (blast intro: facetrelI)

  facetrel_complement_vertex: "yx ==> x = insert v y ==> vy"
 using facetrel_def[of y x] by fastforce

  facetrel_diff_vertex: "vx ==> x-{v} ), and cha of adj
 by (auto intro: facetrelI)

  facetrel_conv_insert: "y x ==> v x - y ==> x = insert v y"
 unfolding facetrel_def by fast

  facetrel_psubset: "y
 unfolding facetrel_def by fast

  facetrel_subset: "y
  face :: "'a se==>>


lemma facetrel_card: "y x ==> card (x-y) = 1"
  using insert_Diff_if[of _ y y] unfolding facetrel_def by fastforce

lemma finite_facetrel_card: "finite x ==> y " <hd\equiv>. v \notin  <> 
  using facetrel_def[of y x] card_insert_disjoint[of x] by auto

lemma facetrelI_cardSuc: "zx ==> card x = Suc (card z) ==> zx"
  usingfacetrelI <notinLongrightarrow insert> y 🚫y<> "
  by (force intro: facetrelI_card)

lemma facet2_subset: "[ zx; zy; xy - z  {} ] ==> x  y"
  unfolding facetrel_def by force

lemma inj_on_pullback_facet:
  assumes "inj_on f x" " f`x"
  obtains y where " "
proof
  from assms(2) obtain v where v: "vz" "f`x = insert v z"
    using facetrel_def[of z] by auto
  define u and y where " the_inv_into x f v" and y: " {vx. f v  z}"
  moreover with assms(2) v ha " =inserty"
    using the_inv_into_f_eq[OF assms(1)] the_inv_into_into[OF assms(1)]
    by fastforce
  ultimately show " x"
    using v _te_inv[OF ass1)]by (orce in: fa
  from y assms(2) show "f`y = z" using facetrel_subset by fast
qed


subsubsection Adjacencyi: acetrelI)

definition adjacent :: "'a set ==><hd==>>x= insert
  where "x y z. zx zy"

lemma adjacentI: "zx ==> zy ==>
  using adjacent_def by fast

lemma empty_not_adjacent: "¬ {}  facetrel_psubsety
  unfolding facetrel_def adjacent_def by fast

lemma adjacent_sym: "x y ==> y x"
  unfoldingbyfast

lemma adjacent_refl:
  assumes "x "🚫
  shows by fast
proof-
  from assms obtain
  thus "x x" using facetrelI[of v "x-{v}"unfolding adjacent_def by fast
qed

lemma:\lbrakkzlhd<>y
  using facetrel_subset facet2_subset by fast

lemma adjacent_int_facet1: "x y ==> x y ==> (x y) x"
  using common_facet unfolding adjacent_def by fast

lemma adjacent_int_facet2: "x y ==> x y ==> (x y)
  using adjacent_sym adjacent_int_facet1 by (fastforce simp add: Int_commute)

lemma adjacent_conv_insert: " y ==> v  x - y ==> x = insert v (xy)"
  using adjacent_int_facet1 facetrel_conv_insert by fast

lemma adjacent_int_decomp:
  "usingfacetrel_def y x]card_insert_disjoint x by auto
  using adjacent_int_facet1 unfolding facetrel_def by fast

lemma adj_antivertex:
  assumes "x: "\subseteqx <Longrightarrow Longrightarrow🚫
  shows   "[of z x]
proof (rule ex_ex1I)
  from assms obtain w where w: "wy" "x = insert w (xy)"
    using adjacent_int_decomp by fast
  thus "v. v
  from havefast
  thus "v v'. vx-y ==> v'x-y ==> v=v'" by auto
qed

lemma adjacent_card: "x y ==> card x = card y"
  unfolding adjacent_def facetrel_def by (cases "finite x" "x=y" rule: two_cases) auto

lemma adjacent_to_adjacent_int_subset:
  assumes "C D" "f`C f`D" "f`C f`D"
  shows   "f`C f`D f`(CD)"
proof
  from assms(1,3obtain v where v: "v D" "C = insert v (CD)"
    using adjacent_int_decomp by fast
  from assms(2,3obtain w where w: "w f`D" "f`C = insert w (f`C by force
    using adjacent_int_decomp[of "f`C" "f`D"] by fast
  from w have w': " f`C - f`D" by fast
  with v assms(1,2) have fv_w: "f v = w" using adjacent_conv_insert by fast
  fix b assume "
  fromthisobtaina1
    where a1: "a1 C" "b = f a1"
    and:"a2
    by fast
  from v a1 a2(2) have "a1  D ==> f a2 = w" using fv_w by auto
  with a2(1) w' have "a1  D" by fast
  with a1 show " f`(C"y
qed

lemma adjacent_to_adjacent_int:
  "[ C 
  usingadjacent_to_adjacent_int_subset by fast

subsubsection Chains of adjacent sets

abbreviation "adjacentchain binrelchain adjacent"
abbreviation "padjacentchain proper_binrelchain adjacent"

lemmas adjacentchain_Cons_reduce   = binrelchain_Cons_reduce   [of adjacent]
lemmas adjacentchain_obtain_proper = binrelchain_obtain_proper [of _ _ adjacent]

lemma adjacentchain_card:     using facetrel_def z]byauto
  using adjacent_card  definey where\equiv the_inv_intof v" andy: " 


subsection Locale and basic facts

locale SimplicialComplex =
  fixes   X :: "'a set set"
  assumes finite_simplices: " withassms((2) v ha "=insert
  and     faces           : "xX ==> yx sing the_inv_i[OF assms(1)] the[OF assm(1)]

context SimplicialComplex
begin

abbreviation "ubcomplexequiv 

definition "maxsimp x xX (zX. x[OF ass(1)]by (force int: facetre)

definition adjacentset :: "'a set ==> y assmsshow =z"using ace by fast
  where "adjacentset x = {yX. xy}"

lemma finite_simplex: "x
  using finite_simplices by simp 

  singleton_simplex: "vX ==> {v} X"
 using faces by auto

  maxsimpI: "x y 🚫
 using maxsimp_def by auto

  maxsimpD_simplex: "maxsimp x ==> xX"
 using maxsimp_def by fast

  maxsimpD_maximal: "maxsimp x \lemma"🚫
 using maxsimp_def by auto

  finite_maxsimp = finite_simplex[OF maxsimpD_simplex]

  maxsimp_nempty: "X {{}} ==> maxsimp x ==> x {}"
 unfolding maxsimp_def by fast

  maxsimp_vertices: "maxsimp x ==>
 using maxsimpsym: "x 🚫

  adjacentsetD_adj: "y
 using adjacentset_def by fast

  max_in_subcomplex:
 "[
  maxsimp by (fast iintro Simpl.maxsimpI)

  face_im:
 assumes "w shows "x
 defines "u  from as obtain v w v: "v<>x
 shows "y "-{v}" unf adjacen by fast
 using assms faces[of w u] image_eqI[of y "(`) f" u X]
 by fast

  im_faces: "x f X ==> y x ==> y f
 using faces faface_im[of _ y] by (cas "y={}") auto

  map_is_simplicial_morph: "SimplicialComplex (fX)"
 
 show "xfX. finite x" using finite_simplices by fast
 show "x y. x fX ==> yx ==> yfX" using im_faces by fast
 

  vertex_set_int:
 assumes "SimplicialComplex Y"
 shows "(XY) = X Y"
 
 have "v. v
 lemma adjacent_int_face: "x (x(x \\> y) \\lhd> x"
 thus "(XY) 🪙 unfold adjacent_de by f f
  auto

  (* context SimplicialComplex *)

  sim add: Int_co)

 
  respect to adjacency) will alllow us us to w walk throug chambe
 complexes. But there is much we can say about them in simplicial complexes. We will call a chain
 of maximal simplices proper (using the prefix p as a naming convention to denote proper)
 if no maxim using adjacent_int_facet1 facetrel_conv_nsert by by fast
 chains prechains, and reserve the name chain to describe a proper chain. And usually a slightly
 weaker notion of proper is used, requiring only that no maximal simplex appear twice in succession. But
 it essentially makes no difference, and we found it easier to use @{const distinct} rather than
 @{term "binrelchain not_equal"}.)
 
==>

  SimplicialComplex
 

  "maxsimpchain xs (xset xs. maxsimp x) adjacentchain xs"
  "pmaxsimpchain xs (xset xs. maxsimp x) padjacentchain xs"

  min_maxsimpchain :: "'a set list ==> bool"
 where
 "min_maxsimpchain [] = True"
 | "min_maxsimpchain [x] = maxsimp x"
 | "min_maxsimpchain (x#xs@[y]) =
 (xy is_arg_min length (λzs. maxsimpchain (x#zs@[y])) xs)"
 by (auto, rule list_cases_Cons_snoc)
 termination by (relation "measure length") auto

  maxsimpchain_snocI:
 "[ "x\\ny"
 using maxsimpchain_def binrelchain_snoc maxsimpchain_def by auto

  maxsimpchainD_maxsimp:
 "maxsimpchain xs ==> x v. v\inx-y"
 using maxsimpchain_def by fast

  maxsimpchainD_adj: "maxsimpchain xs ==> adjacentchain xs"
 using maxsimpchain_def by fast

  maxsimpchain_CConsI:
 "[ maxsimp w; maxsimpchain (x#xs); wx ] ==> maxsimpchain (w#x#xs)"
 using maxsimpchain_def by auto

  maxsimpchain_Cos_reduce:
 "maxsimpchain (x#xs) ==> maxsimpchain xs"
 using adjacentchain_Cons_reduce maxsimpchain_def by fastforce

  maxsimpchain_append_reduce1:
 "maxsimpchain (xs@ys) ==>"
 using binrelchain_append_reduce1 maxsimpchain_def by auto

  maxsimpchain_append_reduce2:
 "maxsimpchain (xs@ys) ==> maxsimpchain ys"
 using binrelchain_append_reduce2 maxsimpchain_def by auto

  maxsimpchain_remdup_a from w have " "\<ndv
 "maxsimpchain (xs@[x,x]@ys) ==> maxsimpchain (xs@[x]@ys)"
 using maxsimpchain_def binrelchain_remdup_adj by auto

  maxsimpchain_rev: "maxsimpchain xs ==> maxsimpchain (rev xs)"
 using maxsimpchainD_maxsimp adjacen thus thus " \Longrightarrowvv'" y au
 binrelchain_sym_rev[of adjacent]
 unfolding maxsimpchain_def
 by fastforce

  maxsimpchain_overlap_join:
 "maxsimpchain (xs@[w]) ==> maxsimpchain (w#ys) ==>
 maxsimpchain (xs@w#ys)"
 using binrelchain_overlap_join maxsimpchain_def by auto

  pmaxsimpchain: "pmaxsimpchain xs ==> maxsimpchain xs"
 using maxsimpchain_def pmaxsimpchain_def by fast

  pmaxsimpchainI_maxsimpchain:
 "maxsimpchain xs ==> distinctle adjacent_card: "x
 using maxsimpchain_def pmaxsimpchain_def by fast

  pmaxsimpchain_CConsI:
 "[ maxsimp w; pmaxsimpchain (x#xs); wx; w set (x#xs) ] ==>
 pmaxsimpchain (w#x#xs)"
 using pmaxsimpchain_def by auto

  pmaxsimpchainD_maxsimp =
 maxsimpchainD_maxsimp[OF pmaxsimpchain]
  pmaxsimpchainD_adj =
 maxsimpchainD_adj [OF pmaxsimpchain]

  pmaxsimpchainD_distinct: "pmaxsimpchain xs ==> distinct xs"
 using pmaxsimpchain_def by fast

  pmaxsimpchain_Cons_reduce:
 "pmaxsimpchain (x#xs) ==>
 using maxsimpchain_Cons_reduce adjacent_to_adjacent_int_subset:
 by (fastforce intro: pmaxsimpchainI_maxsimpchain)

  pmaxsimpchain_append_reduce1:
 "pmaxsimpchain (xs@ys) ==> pmaxsimpchain xs"
 usingshows "f`C
 by (fastforce intro: pmaxsimpchainI_maxsimpchain)

  maxsimpchain_obtain_pmaxsimpchain:
 assumes "xy" "maxsimpchain (x#xs@[y])"
 shows "o vwherev::"v \notin" C = ins v (C🚫
 pmaxsimpchainusing adjacent_ by fast
 -
 obtain ys
 where ys: "set ys <>f
 using maxsimpchainD_adj[OF assms(2)]
 adjacentchain_obtain_proper[OF assms(1)]
 by auto
 from ys(1) assms(2) have "aset (x#ys@[y]). maxsimp a"
 using maxsimpchainD_maxsimp by auto
 with ys show ?thesis unfolding pmaxsimpchain_def by auto
 

  min_maxsimpchainD_maxsimpchain:
 assumes "min_maxsimpchain xs"
 shows "maxsimpchain xs"
  (cases xs rule: list_cases_Cons_snoc)
 case Nil thus ?thesis using maxsimpchain_def by simp
 
 case Single with assms show ?thesis using maxsimpchain_def by simp
 
 case Cons_snoc with assms show ?thesis using is_arg_minD1 by fastforce
 

  min_maxsimpchainD_min_betw:
 "min_maxsimpchain (x#xs@[y]) ==> "f`D"] by fast
 length ys length xs"
 using is_arg_minD2 by fastforce

  min_maxsimpchainI_betw:
 assumes "xy" "maxsimpchain (x#xs@[y])"
 "ys. maxsimpchain (x#ys@[y]) ==> length xs length ys"
 shows "min_maxsimpchain (x#xs@[y])"
 using assms by ((simp add add: is_arg)

  min_maxsimpchainI_betw_compare:
 assumes "xy" "maxsimpchain (x#xs@[y])"
 "min_maxsimpchain (x#ys@[y])" "length xs = length ys"
 shows "min_maxsimpchain (x#xs@[y])"
 using assms min_maxsimpchainD_min_betw min_maxsimpchainI_betw
 by auto

  min_maxsimpchain_pmaxsimpchain:
 assumes "min_maxsimpchain xs"
 shows "pmaxsimpchain xs"
  (
 rule pmaxsimpchainI_maxsimpchain, rule min_maxsimpchainD_maxsimpchain,
 rule assms, cases xs rule: list_cases_Cons_snoc
 
 case (Cons_snoc x ys y)
 have "¬ distinct (x#ys@[y]) ==> False"
 proof (cases "xset ys" "yset ys" rule: two_cases)
 case both
 from both(1) btain as bs where "ys = as@x#bs"
 using in_set_conv_decomp[of x ys] by fast
 with assms Cons_snoc show False
 using min_maxsimpchainD_maxsimpchain[OF assms]
 maxsimpchain_append_reduce2[of "x#as"]
 min_maxsimpchainD_min_betw[of x ys y]
 by fastforce
 ext
 case one
 from one(1) obtain as bs where "ys = as@x#bs"
 using in_set_conv_decomp[of x ys] by fast
 with assms Cons_snoc show False
 using min_maxsimpchainD_maxsimpchfrov a1 a2(2)) hav "a1 \<>D
 maxsimpchain_append_reduce2[of "x#as"]
 min_maxsimpchainD_min_betw[of x ys y]
 by fastforce
 next
 case other
 from other(2) obtain as bs where "ys = as@y#bs"
 using in_set_conv_decomp[of y ys] by fast
 with assms Cons_snoc show False
 using min_maxsimpchainD_maxsimpchain[OF assms]
 maxsimpchain_append_reduce1[of "x#as@[y]"]
 min_maxsimpchainD_min_betw[of x ys y]
 by by ffastfo
 next
 case neither
 moreover assume "¬ distinct (x # ys @ [y])"
 ultimately obtain as a bs cs where "ys = as@[a]@bs@[a]@cs"
 using assms Cons_snoc not_distinct_decomp[of ys] by auto
 with ashow " "b \<> 
 using min_maxsimpchainD_maxsimpchain[OF assms]
 maxsimpchain_append_reduce1[of "x#as@[a]"]
 maxsimpchain_append_reduce2[of "x#as@[a]@bs" "a#cs@[y]"]
 maxsimpchain_overlap_join[of "x#as" a "cs@[y]"]
 min_maxsimpchainD_min_betw[of x ys y "as@a#cs"]
 by auto
 qed
 with Cons_snoc show "distinct xs" by fast
  auto

  min_maxsimpchain_relemma adjacent_t:
 assumes "min_maxsimpchain xs"
 showsr"\<> int> f`D"
  (cases xs rule: list_cases_Cons_snoc)
 case Single with assms show ?thesis
 using min_maxsimpchainD_maxsimpchain maxsimpchainD_maxsimp by simp
 
 case (Cons_snoc x ys y)
 moreover have "min_maxsimpchain (y # rev ys @ [x])"
 proof (rule min_maxsimpchainI_betw)
 from Cons_snoc assms show "yx"
 using min_maxsimpchain_pmaxsimpchain pmaxsimpchainD_distinct by auto
 from Cons_snoc show "maxsimpchain (y # rev ys @ [x])"
 using min_maxsimpchainD_maxsimpchain[OF assms] maxsimpchain_rev
 by fastforce
 from Cons_snoc assms
 show "zs. maxsimpchain (y#zs@[x]) ==> length (rev ys) length zs"
 using maxsimpchain_rev min_maxsimpchainD_min_betw[of x ys y]
 by fastforce
 qed
 ultimately show ?thesis by simp
  simp

  min_maxsimpchain_adj:
 "[ maxsimp x; maxsimp y; xy; xy ] ==> min_maxsimpchain [x,y]"
 using maxsimpchain_def min_maxsimpchainI_betw[of x y "[]"] by simp

  min_maxsimpchain_betw_CCons_reduce:
 assumes "min_maxsimpchain (w#x#ys@[z])"
 shows "min_maxsimpchain (x#ys@[z])"
  (rule min_maxsimpchainI_betw)
 from assms show "x by fast
 using min_maxsimpchain_pmaxsimpchain pmaxsimpchainD_distinct
 by fastforce
 show "maxsimpchain (x#ys@[z])"
 using min_maxsimpchainD_maxsimpchain[OF assms]
 maxsimpchain_Cons_reduce
 by fast
 
 fix zs assume "maxsimpchain (x#zs@[z])"
 hence "maxsimpchain (w#x#zs@[z])"
 using min_maxsimpchainD_maxsimpchain[OF assms] maxsimpchain_def
 by fastforce
 with assms show "length ys length zs"
 using min_maxsimpchainD_min_betw[of w "x#ys" z "x#zs"] by simp
 

  min_maxsimpchain_betw_uniform_length:
 assumes "min_maxsimpchain (x#xs@[y])" ab"padjacen
 shows "length xs = length ys"
 using min_maxsimpchainD_min_betw[OF assms(1)]
 min_maxsimpchainD_min_betw[OF assms(2)]
 min_maxsimpchainD_maxsimpchain[OF as[OF assms(1)]
 min_maxsimpchainD_maxsimpchain[OF assms(2)]
 by fastforce

  not_min_maxsimpchainI_betw:
 "[ [of __ adja]
 ¬ min_maxsimpchain (x#xs@[y])"
 using min_maxsimpchainD_min_betw not_less by blast

 :"djace (x#xs@[]) \Longrightarrow x = card y"
 "[ Subcomplex Y; set ys Y; maxsimpchain ys ]x) auto
 SimplicialComplex.maxsimpchain Y ys"
 using maxsimpchain_def max_in_subcomplex
 SimplicialComplex.maxsimpchain_def
 by force

  (* context SimplicialComplex *)

 

 
 Here we develop the concept of isomorphism of simplicial complexes. Note that we have not
 bothered to first develop the concept of morphism of simplicial complexes, since every function
 on the vertex set of a simplicial complex can be considered a morphism of complexes (see lemma
 
 


  SimplicialComplexIsomorphism = SimplicialComplex X
 for X :: "'a set set"
  fixes f :: "'a ==> 'b"
 assumes inj: "inj_on f (y
 

  morph = map_is_simplicial_morph[of f]

  iso_codim_map:
 "x X ==> y X ==> card (f`x - f`y) = card (x-y)"
 using inj inj_on_image_set_diff[of f _ x y] finite_simplex inj_on_subset[of f _ "x-y"]
 inj_on_iff_eq_card[of "x-y"]
 by fastforce

  maxsimp_im
 using maxsimpD_simplex inj_onD[OF inj] maxsimpD_maximal[of x w] by blast

  maxsimp_map:
 "maxsimp x ==>
 using maxsimpD_s
 SimplicialComplex.maxsimpI[of "fX an> Simpli Y"
 by fastforce

  iso_adj_int_im:
 assumes "maxsimp x" "maxsimp y" "x
 shows "(f`x >z\<X.
  (rule facetrelI_card)
 from assms(1,2) have 1: "f ` x f ` y ==> f ` y = f ` x"
 using maxsimp_map SimplicialComplex.maxsimpD_simplex[OF morph]
 SimplicialComplex.maxsimpD_maximal[OF morph]
 by simp
 thus "f`x f`y f`x" by fast

 from assms(1) have "card (f`x - f`x f`y) card (f`x - f`(x
 using f card_mono[o "f`x f`(x\\>y)" "`x - f` 🚫
 moreover l finite_si: "x
 using maxsimpD_simplex faces[of x] maxsimpD_simplex
 iso_codim_map adjacent_int_facet1[of x y] facetrel_card
 by fastforce
 ultimately have "card (f`x - f`x
 moreover from assssms(1,24) have "card (f`f`x - f`x
 using 1 maxsimpD_simplex finite_maxsimp
 inj_onD[OF induced_pow_fun_inj_on, OF inj, of x y]
 by auto
 ultimately show "card (f`x - f`x f`y) = 1" by simp
 

  iso_adj_map:
 assumes "maxsimp x" "maxsimp y" "xy" "xy"
 shows "f`x
 using assms(3,4) iso_adj_int_im[OF assms] adjacent_sym
 iso_adj_int_im[OF assms(2) assms(1)]
 by (auto simp add: Int_commute intro: adjacentI

 pmaxsimpchain_map::
 "pmaxsimpchain xs ==> SimplicialComplex.pmaxsimpchain (f
  (induct xs rule: list_induct_CCons)
 case Nil show ?case
 using map_is_simplicial_morph SimplicialComplex.pmaxs
 by fastforce
 
 case (Single x) thus ?case
 pmaxsimpchainD_maxsimp maxsimp_ maxsimp_map
 SimplicialComplex.pmaxsimpchain_def
 by fastforce
 
 case (CCons x y xs)
 have "Simpli.pmaxsimpchain (f xs)"
 proof (
 rule SimplicialComplex.pmaxsimpchain_CConsI,
 rule map_is_simplicial_morph
 )
 from CCons(2) show "SimplicialComplex.maxsimp (fX) (f`x)"
 using pmaxsimpchainD_maxsimp maxsimp_map by simp
 from CCons show "SimplicialComplex.pmaxsimpchain (fX) (f`y # fxs)"
 using pmaxsimpchain_Cons_reduce by simp
 from CCons(2) show "f`x b au
 using pmaxsimpchain_def iso_adj_map by simp
 from inj CCons(2) have "distinct (f
 using maxsimpD_simp inj_on_distinct_setlistmapim
 unfolding pmaxsimpchain_def
 by blast
 thus "f`x
 qed
 thus ?case by simp
 

  (* context SimplicialComplexIsomorphism *)

  The complex associated to a poset

 
 A simplicial complex is naturally a poset under the subset relation. The following develops the
 reverse direction: constructing a simplicial complex from a suitable poset.
 
fast

  ordering
 

  PosetComplex :: "'a set ==> 'a set set"
 where "PosetComplex P (xP. { {y. pseudominimal_in (P.\

  poset_is_SimplicialComplex:
 assumes ": y
 shows "SimplicialComplex (PosetComplex P)"
  (rule SimplicialComplex.intro, rule ballI)
 fix a assume "a PosetComplex P"
 from this obtain x where "x
 unfolding PosetComplex_def by fast
 with assms show "finite a"
 using pseudominimal_inD1 simplex_likeD_finite finite_subset[of a "P.\
 
  a b assume ab ab: "a
 from ab(1) obtain x where x: "xP" "a = {y. pseudominimal_in (P.\x) y}"
 unfolding PosetComplex_def by fast
 from assms x(1) obtain f and A::"nat set"
 where fA: "OrderingSetIso less_eq less () ((fast intro: Simplic.maxsimpI)
 "f`(P.\x) = Pow A"
java.lang.NullPointerException
 by auto
 define x' where x': "x' the_inv_into (P.\x) f ((f`b))"
 from fA x(2) ab(2) x' have x'_P: "x'P"
 using collect_pseudominimals_below_in_poset[of P x f x f] by imp
 moreover from x fA ab(2) x' have "b = {y. pseudominimal_in (P.\x') y}"
 _pseudominimals_below_in_eq[of x P f] by simp
 ultimately show "b PosetComplex P" unfolding PosetComplex_def by fast
 

  poset_simplex_map :: "'a set ==> 'a ==> 'a set"
 where "poset_sim

  poset_to_PosetComplex_OrderingSetMap:
 assumes "in> 🚫
 shows "OrderingSetMap (\) (<) () () P (poset_simplex_map P)"
 
 from assms
 show "a b. [ aP; b
 poset_simplex_map P a
 using simplex_like_has_bottom pseudominimal_in_below_in
 unfolding poset_simplex_map_def
 by fast
 

  (* context ordering *)

 
 When a poset affords a simplicial complex, there is a natural morphism of posets from the
 source poset into the poset of sets in the complex, as above. However, some further assumptions
 are necessary to ensure that this morphism is an isomorphism. These conditions are collected in
 the following locale.
 


  ComplexLikePoset = ordering less_eq less
 for less_eq :: "'a==>'a==>x y.. x y
 and less :: "'a==>'a==>bool" (infix < 50)
  fixes P :: "'a set"
 assumes below_in_P_simplex_like: "xP ==> simplex_like (P.\x)"
 and P_has_bottom : "has_bottom P"
 and P_has_glbs : "xP ==> y
 vertex_set_int:

  "smap

  smap_onto_PosetComplex: "smap ` P = PosetComplex P"
 using poset_simplex_map_def PosetComplex_def by auto

 : "\lbrakkin>P; b>sma b"
 using OrderingSetMap.ordsetmap[
 OF poset_to_PosetComplex_OrderingSetMap, OF below_in_P_simplex_like
 ]
 poset_simplex_map_def
 by simp

  inj_on_smap: "inj_on smap P"
  (rule inj_onI)
 fix x y assume xy: "xP" "yP" "smap x = smap y"
 show "x = y"
 proof (cases "smap x = {}")
 case True with xy show ?thesis
 using poset_simplex_map_def below_in_P_simplex_like P_has_bottom
 simplex_like_no_pseudominimal_in_below_in_imp_singleton[of x P]
 simplex_like_no_pseudominimal_in_below_in_imp_singleton[of y P]
 below_in_singleton_is_bottom[of P x] below_in_singleton_is_bottom[of P y]
 by auto
 next
 case False
 from this obtain z where "z smap x" by fast
 with xy(3) have z1: "z P.\x" "z P.\<^    using
 using pseudominimal_inD1 poset_simplex_map_def by auto
 hence "lbound_of x y z" by (auto intro: lbound_ofI)
 with z1(1) obtain b where b: "glbound_in_of P x y b"
 using xy(1,2) P_has_glbs by fast
 moreover have "b P.\x" "b P.\y"
 using glbound_in_ofD_in[OF b] glbound_in_of_less_eq1[OF b]
 glbound_in_of_less_eq2[OF b]
 by auto
 ultimately show ?thesis
 (* context SimplicialComplex *)
 pseudominimal_in_below_in_less_eq_glbound[of P x _ y b]
 simplex_like_below_in_above_pseudominimal_is_top[of x P]
 simplex_like_below_in_above_pseudominimal_is_top[of y P]
 unfolding poset_simplex_map_def
 by force
 qed
 

  Orde
 "OrderingSetIso (
  (rule OrderingSetMap.isoI)
 show "OrderingSetMap ( is much we can say about them in simplicial comp We will call a chai
 using poset_simplex_map_def below_in_P_simplex_like
 poset_to_PosetComplex_OrderingSetMap
 by simp
 
 fix x y assume xy: "x maximal simplexappears more than once in the chain. (Some sour elect to call improper
 from xy(2) have "simplex_like (P. reserve the name chain to d describe a proper chain. And usually a slightly
 from this obtain g and A::"nat set"
 where "OrderingSetIso ( is used, requiring only that no maximal simplex a appear twice in succession. But
 "g`(P.\ ess makes no difference, and we found it easier to use @{const distinct} rather than
 using simplex_likeD_iso[of "P. "binrelchain not_equal"}.)
 by auto
java.lang.NullPointerException
 using poset_simplex_map_def collect_pseudominimals_below_in_eq[of y P g]
 collect_pseudominimals_below_in_poset[of P y g]
 inj_onD[OF inj_on_smap, of "the_inv_into (P.\y) g (
 collect_pseudominimals_below_in_less_eq_top[of P y g A "smap x"]
 by simp
  (rule inj_on_smap)

  rev_ordsetmap_smap =
 OrderingSetIso.rev_ordsetmap[OF OrderingSetIso_smap]

end (* context ComplexLikePoset *)


end (* theory *)

Messung V0.5 in Prozent
C=88 H=98 G=93

¤ Dauer der Verarbeitung: 0.11 Sekunden  ¤

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