import OAI.Combinatorics.ContingencyTables.Transport.FiniteGraphRoots import OAI.Combinatorics.ContingencyTables.Sampling.ProfileExchangeProgram import OAI.Combinatorics.MatchingCount.Complexity.TreePolynomialCollections import OAI.Combinatorics.MatchingCount.Complexity.TreeChoiceCosts import OAI.Combinatorics.MatchingCount.Machines.TreeColex import OAI.Combinatorics.MatchingCount.Sampling.TreeDPCounts namespace OAI /-! # A binary list program computing a component root The graph is supplied by adjacency lists. The program makes one growth round per stored vertex, then minimizes the reached indices. No loop depends on the numeric size of an index or of an edge capacity. -/ namespace ContingencyTables.FiniteGraphRootProgram open MatchingFPRAS.TreeTyped Polynomial abbrev GraphCode := List (List ℕ) abbrev SearchState := GraphCode×List ℕ abbrev Input := GraphCode×ℕ def indices (rows : GraphCode) : List ℕ := List.range rows.length def indicesRealizer : Realizer indices := composition listLength range lemma polynomial_indices : PolynomialTime indicesRealizer := by apply polynomial_boundedRange polynomial_listLength X intro rows simpa only [Function.comp_apply,eval_X] using list_length_le_weight rows def neighborHit (z : List ℕ×List ℕ) : Bool := z.2.any (fun a => decide (a∈z.1)) def neighborHitRealizer : Realizer neighborHit := (composition (mapWith membership) any).congr (by intro z simp only [Function.comp_apply,List.any_map,Function.comp_def,id_eq,neighborHit]) lemma polynomial_neighborHit : PolynomialTime neighborHitRealizer := polynomial_congr _ (polynomial_composition (polynomial_mapWith polynomial_membership) polynomial_any) def growTest (z : SearchState×ℕ) : Bool := decide (z.2∈z.1.2) || neighborHit (z.1.2,z.1.1.getD z.2 []) def growTestRealizer : Realizer growTest := composition (f := fun z : SearchState×ℕ => (decide (z.2∈z.1.2),neighborHit (z.1.2,z.1.1.getD z.2 []))) (g := fun z : Bool×Bool => z.1 || z.2) (pair (composition (pair (composition first second) second) membership) (composition (pair (composition first second) (composition (pair (composition first first) second) (getDFast []))) neighborHitRealizer)) boolOr lemma polynomial_growTest : PolynomialTime growTestRealizer := polynomial_composition (polynomial_pair (polynomial_composition (polynomial_pair (polynomial_composition polynomial_first polynomial_second) polynomial_second) polynomial_membership) (polynomial_composition (polynomial_pair (polynomial_composition polynomial_first polynomial_second) (polynomial_composition (polynomial_pair (polynomial_composition polynomial_first polynomial_first) polynomial_second) (polynomial_getDFast []))) polynomial_neighborHit)) polynomial_boolOr def grow (z : SearchState) : List ℕ := (indices z.1).filter (fun a => growTest (z,a)) def growRealizer : Realizer grow := composition (pair identity (composition first indicesRealizer)) (filterWith growTestRealizer) lemma polynomial_grow : PolynomialTime growRealizer := polynomial_composition (polynomial_pair polynomial_identity (polynomial_composition polynomial_first polynomial_indices)) (polynomial_filterWith polynomial_growTest) def advance (z : List ℕ×SearchState) : SearchState := (z.2.1,grow z.2) def advanceRealizer : Realizer advance := pair (composition second first) (composition (f := fun z : List ℕ×SearchState => z.2) (g := grow) second growRealizer) lemma polynomial_advance : PolynomialTime advanceRealizer := polynomial_pair (polynomial_composition polynomial_second polynomial_first) (polynomial_composition polynomial_second polynomial_grow) lemma fold_first (steps : List (List ℕ)) (s : SearchState) : (steps.foldl (fun s row => advance (row,s)) s).1=s.1 := by induction steps generalizing s with | nil => rfl | cons row steps ih => exact ih (advance (row,s)) lemma grow_weight (s : SearchState) : weight (grow s)≤weight (indices s.1) := weight_sublist (List.filter_sublist (p := fun a => growTest (s,a)) (l := indices s.1)) lemma fold_weight (steps : List (List ℕ)) (s : SearchState) : weight (steps.foldl (fun s row => advance (row,s)) s).2≤ max (weight s.2) (weight (indices s.1)) := by induction steps generalizing s with | nil => exact le_max_left _ _ | cons row steps ih => have ht := ih (advance (row,s)) have hs := grow_weight s exact ht.trans (max_le (hs.trans (le_max_right _ _)) (le_max_right _ _)) lemma indices_weight (rows : GraphCode) : weight (indices rows)≤rows.length*(4*rows.length+2)+1 := by have h := weight_map_bound (as := List.range rows.length) (f := id) (N := 4*rows.length+1) (by intro a ha exact (weight_nat_numeric a).trans (by have := List.mem_range.mp ha omega)) simpa only [List.map_id,List.length_range,indices] using h lemma polynomial_searchFold : PolynomialTime (fold advanceRealizer) := by apply polynomial_fold polynomial_advance (10*(X+1)^2) intro steps s pre _post _he let S := weight (steps,s) let out := pre.foldl (fun s row => advance (row,s)) s have hs : weight s≤S := weight_snd (steps,s) have hr : weight s.1≤S := (weight_fst s).trans hs have hv : weight s.2≤S := (weight_snd s).trans hs have hn : s.1.length≤S := (list_length_le_weight s.1).trans hr have hi := indices_weight s.1 have hib : weight (indices s.1)≤4*S^2+2*S+1 := by have hm := Nat.mul_le_mul hn (show 4*s.1.length+2≤4*S+2 by omega) nlinarith have ho : weight out.2 ≤ max (weight s.2) (weight (indices s.1)) := fold_weight pre s have hot : weight out.2≤4*S^2+3*S+1 := ho.trans (max_le (by omega) (by omega)) have hf : out.1=s.1 := fold_first pre s have hw : weight out=weight out.1+weight out.2+1 := by change weight (out.1,out.2)=_ rw [weight_prod] omega simp only [eval_mul,eval_ofNat,eval_pow,eval_add,eval_X,eval_one] change weight out≤10*(S+1)^2 rw [hw,hf] nlinarith def prepare (z : Input) : GraphCode×SearchState := (z.1,(z.1,[z.2])) def prepareRealizer : Realizer prepare := pair first (pair first (composition (pair second (constant [])) listCons)) lemma polynomial_prepare : PolynomialTime prepareRealizer := polynomial_pair polynomial_first (polynomial_pair polynomial_first (polynomial_composition (polynomial_pair polynomial_second (polynomial_constant [])) polynomial_listCons)) def run (z : Input) : SearchState := z.1.foldl (fun s row => advance (row,s)) (z.1,[z.2]) def runRealizer : Realizer run := composition prepareRealizer (fold advanceRealizer) lemma polynomial_run : PolynomialTime runRealizer := polynomial_composition polynomial_prepare polynomial_searchFold def reached (z : Input) : List ℕ := (run z).2 def reachedRealizer : Realizer reached := composition (f := run) (g := fun s : SearchState => s.2) runRealizer second theorem polynomial_reached : PolynomialTime reachedRealizer := polynomial_composition polynomial_run polynomial_second lemma minimum_fold_le (xs : List ℕ) (b : ℕ) : xs.foldl (fun b a => min a b) b≤b := by induction xs generalizing b with | nil => exact le_rfl | cons a xs ih => exact (ih (min a b)).trans (min_le_right _ _) lemma polynomial_minimumFold : PolynomialTime (fold minimum) := by apply polynomial_fold polynomial_minimum (4*X+1) intro xs b pre _post _he have hb : b.size≤weight (xs,b) := (size_le_weight b).trans (weight_snd (xs,b)) have hs := Nat.size_le_size (minimum_fold_le pre b) have hw := weight_nat_le (pre.foldl (fun b a => min a b) b) simp only [eval_add,eval_mul,eval_ofNat,eval_X,eval_one] omega def rootCode (z : Input) : ℕ := (reached z).foldl (fun b a => min a b) z.1.length def rootCodeRealizer : Realizer rootCode := composition (f := fun z : Input => (reached z,z.1.length)) (g := fun z : List ℕ×ℕ => z.1.foldl (fun b a => min a b) z.2) (pair reachedRealizer (composition first listLength)) (fold minimum) theorem polynomial_rootCode : PolynomialTime rootCodeRealizer := polynomial_composition (polynomial_pair polynomial_reached (polynomial_composition polynomial_first polynomial_listLength)) polynomial_minimumFold end ContingencyTables.FiniteGraphRootProgram end OAI