import OAI.Combinatorics.PerfectMatching.Partition import OAI.Combinatorics.PerfectMatching.Ascent namespace OAI section namespace BinaryMatching.Algorithm noncomputable section open Finset MatchingEntropy def smoothObjective (G : Input) (x : Pair G.n → ℝ) : ℝ := entropy x/Real.log 2+∑ e,(beta G e:ℝ)*x e def Z (G : Input) : ℝ := (completeGraph G.n).weightedZ (fun e => (beta G e:ℝ)) def logZ (G : Input) : ℝ := Real.log (Z G)/Real.log 2 lemma complete_matching_nonempty {n : ℕ} (hn : 4≤ n) (heven : Even n) : Nonempty (completeGraph n).Matching := by obtain ⟨p,hp⟩ := ((completeGraph n).mem_polytope_iff _).mp (uniform_feasible hn heven) by_contra h have : IsEmpty (completeGraph n).Matching := not_nonempty_iff.mp h simpa using hp.1.2 lemma mass_half {n : ℕ} (heven : Even n) {x : Pair n → ℝ} (hx : x∈(completeGraph n).polytope) : (∑ e,x e)=(n:ℝ)/2 := by obtain ⟨r,hr⟩ := heven have hn : Fintype.card (Fin n)=2*r := by simp; omega rw [(completeGraph n).marginal_sum hn hx] have hn' : (n:ℝ)=2*(r:ℝ) := by exact_mod_cast (show n=2*r by omega) rw [hn']; ring lemma q_dyadic_le_one (n : ℕ) : (q n:ℝ)*dyadic (K n)≤1 := by have hh : (q n:ℝ)≤(2:ℝ)^(K n) := by exact_mod_cast Nat.le_pow_clog (by norm_num : 1<2) (q n) rw [dyadic,inv_pow,←div_eq_mul_inv] exact (div_le_one (by positivity)).mpr hh lemma objective_compare (G : Input) (hn : 2≤ G.n) (heven : Even G.n) {x : Pair G.n → ℝ} (hx : x∈(completeGraph G.n).polytope) : objective G x≤ smoothObjective G x ∧ smoothObjective G x≤ objective G x+G.n := by have he : smoothObjective G x-objective G x= ∑ e,(phi (x e)-psiReal (K G.n) (x e)) := by simp only [smoothObjective,objective,phi,entropy,sum_add_distrib,sum_sub_distrib,←sum_div] ring have hnon : 0≤∑ e,(phi (x e)-psiReal (K G.n) (x e)) := sum_nonneg fun e _ => (dyadic_entropy_error (K G.n) ((completeGraph G.n).coordinate_mem_Icc hx e)).1 have hupper : (∑ e,(phi (x e)-psiReal (K G.n) (x e)))≤(G.n:ℝ)/2+1 := by calc _ ≤ ∑ e,(x e+dyadic (K G.n)) := sum_le_sum fun e _ => (dyadic_entropy_error (K G.n) ((completeGraph G.n).coordinate_mem_Icc hx e)).2 _ = (G.n:ℝ)/2+(q G.n:ℝ)*dyadic (K G.n) := by rw [sum_add_distrib,mass_half heven hx]; simp [q] _ ≤ _ := by linarith [q_dyadic_le_one G.n] have hn' : (2:ℝ)≤ G.n := by exact_mod_cast hn constructor <;> linarith lemma Z_pos (G : Input) (hn : 4≤ G.n) (heven : Even G.n) : 0< Z G := by have := complete_matching_nonempty hn heven exact expSum_pos _ lemma smooth_lower_partition (G : Input) (hn : 4≤ G.n) (heven : Even G.n) {x : Pair G.n → ℝ} (hx : x∈(completeGraph G.n).polytope) : smoothObjective G x-4*(G.n:ℝ)≤ logZ G := by have hPM := complete_matching_nonempty hn heven obtain ⟨r,hr⟩ := heven have hn' : Fintype.card (Fin G.n)=2*r := by simp; omega have hent := ((completeGraph G.n).entropy_binary_scale hPM hn' hx).1 have hvar := (completeGraph G.n).weighted_variational_le (fun e => (beta G e:ℝ)) hx simp only [Fintype.card_fin] at hent dsimp only [smoothObjective,logZ,Z] linarith lemma smooth_upper_partition (G : Input) (hn : 4≤ G.n) (heven : Even G.n) : ∃ x∈(completeGraph G.n).polytope,logZ G≤ smoothObjective G x+G.n := by have hPM := complete_matching_nonempty hn heven obtain ⟨x,hx,hvar⟩ := (completeGraph G.n).weighted_variational_attained (fun e => (beta G e:ℝ)) obtain ⟨r,hr⟩ := heven have hn' : Fintype.card (Fin G.n)=2*r := by simp; omega have hent := ((completeGraph G.n).entropy_binary_scale hPM hn' hx).2 simp only [Fintype.card_fin] at hent refine ⟨x,hx,?_⟩ dsimp only [smoothObjective,logZ,Z] linarith theorem R_partition_bracket (G : Input) (hn : 4≤ G.n) (heven : Even G.n) : (R G:ℝ)-4*(G.n:ℝ)≤ logZ G ∧ logZ G≤(R G:ℝ)+3*(G.n:ℝ) := by obtain ⟨⟨y,hy,hylow⟩,hupp⟩ := R_objective_bracket G hn heven constructor · have hobj := (objective_compare G (by omega) heven hy).1 have hpart := smooth_lower_partition G hn heven hy linarith · obtain ⟨x,hx,hpart⟩ := smooth_upper_partition G hn heven have hobj := (objective_compare G (by omega) heven hx).2 have hU := hupp x hx have hn' : (4:ℝ)≤ G.n := by exact_mod_cast hn linarith end end BinaryMatching.Algorithm end end OAI