import OAI.Combinatorics.MatchingEntropy.SeparableBound namespace OAI noncomputable section open scoped BigOperators Topology open Filter universe uV uE uI uJ uA uB uC uW uF uD uι namespace MatchingEntropyBounds theorem entropy_le_subprob_crossEntropy {I : Type uI} [Fintype I] {p q : I → ℝ} (hp : ∀ i, 0 ≤ p i) (hpsum : ∑ i, p i ≤ 1) (hq : q ∈ probabilitySimplex I) (hsupp : ∀ i, p i=0 → q i=0) : entropy q ≤ -∑ i, q i*Real.log (p i) := by have hterm : ∀ i, Real.negMulLog (q i) ≤ -(q i*Real.log (p i))+p i-q i := by intro i by_cases hi : p i=0 · simp [hi,hsupp i hi] · simpa only [neg_mul] using negMulLog_tangent (hq.1 i) (lt_of_le_of_ne (hp i) (Ne.symm hi)) have hh := Finset.sum_le_sum (s := Finset.univ) fun i _ => hterm i simp only [Finset.sum_sub_distrib,Finset.sum_add_distrib,Finset.sum_neg_distrib,hq.2] at hh change entropy q ≤ -(∑ i, q i*Real.log (p i))+(∑ i,p i)-1 at hh linarith variable {V : Type uV} {E : Type uE} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E] namespace LooplessGraph def matchingBits (G : LooplessGraph V E) (M : G.Matching) : E → Bool := fun e => decide (e ∈ M.val) omit [Fintype V] [Fintype E] [DecidableEq V] in theorem matchingBits_injective (G : LooplessGraph V E) : Function.Injective G.matchingBits := by intro M N h apply Subtype.ext ext e have he := congrFun h e simpa only [matchingBits,decide_eq_decide] using he end LooplessGraph def productBoolean (x : E → ℝ) (b : E → Bool) : ℝ := ∏ e, if b e then x e else 1-x e omit [Fintype V] [DecidableEq V] [DecidableEq E] in theorem productBoolean_nonneg {x : E → ℝ} (hx : ∀ e, x e ∈ Set.Icc (0:ℝ) 1) (b : E → Bool) : 0 ≤ productBoolean x b := by apply Finset.prod_nonneg intro e _ split · exact (hx e).1 · exact sub_nonneg.mpr (hx e).2 omit [Fintype V] [DecidableEq V] in theorem productBoolean_sum (x : E → ℝ) : (∑ b : E → Bool, productBoolean x b)=1 := by unfold productBoolean rw [← Fintype.prod_sum (fun e (b : Bool) => if b then x e else 1-x e)] simp omit [Fintype V] [DecidableEq V] in theorem matchingBoolean_sum_le (G : LooplessGraph V E) {x : E → ℝ} (hx : ∀ e, x e ∈ Set.Icc (0:ℝ) 1) : (∑ M, productBoolean x (G.matchingBits M)) ≤ 1 := by rw [← productBoolean_sum x] classical calc _ = ∑ b ∈ Finset.univ.image G.matchingBits, productBoolean x b := by rw [Finset.sum_image] intro M _ N _ h exact G.matchingBits_injective h _ ≤ _ := Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _) (fun b _ _ => productBoolean_nonneg hx b) omit [Fintype V] [DecidableEq V] in theorem matching_boolean_factor_pos (G : LooplessGraph V E) {x : E → ℝ} {p : G.Matching → ℝ} (hp : p ∈ G.feasibleLaws x) {M : G.Matching} (hM : 0

p N*G.indicator N e) (s := Finset.univ) (fun N _ => mul_nonneg (hp.1.1 N) (G.indicator_nonneg N e)) (Finset.mem_univ M) have hm : G.indicator M e=1 := by simp [LooplessGraph.indicator,he] rw [hm,mul_one] at hh change p M ≤ G.mean p e at hh rw [hp.2] at hh exact hM.trans_le hh · simp only [he,decide_false] have hh := Finset.single_le_sum (f := fun N => p N*(1-G.indicator N e)) (s := Finset.univ) (fun N _ => mul_nonneg (hp.1.1 N) (sub_nonneg.mpr (G.indicator_le_one N e))) (Finset.mem_univ M) have hm : G.indicator M e=0 := by simp [LooplessGraph.indicator,he] simp only [hm,sub_zero,mul_one,mul_sub,Finset.sum_sub_distrib,hp.1.2] at hh change p M ≤ 1-G.mean p e at hh rw [hp.2] at hh exact hM.trans_le hh omit [Fintype V] [DecidableEq V] in theorem matching_entropy_le_binary (G : LooplessGraph V E) {x : E → ℝ} {p : G.Matching → ℝ} (hp : p ∈ G.feasibleLaws x) : entropy p ≤ binaryEntropy x := by have hx := G.coordinate_mem_Icc ((G.mem_polytope_iff x).mpr ⟨p,hp⟩) have hprod (M : G.Matching) (hM : 0

matching_boolean_factor_pos G hp hM e) have hcross := entropy_le_subprob_crossEntropy (fun M => productBoolean_nonneg hx (G.matchingBits M)) (matchingBoolean_sum_le G hx) hp.1 (fun M hzero => le_antisymm (le_of_not_gt (fun hM => (ne_of_gt (hprod M hM)) hzero)) (hp.1.1 M)) have hlog (M : G.Matching) : p M*Real.log (productBoolean x (G.matchingBits M)) = ∑ e, p M*(G.indicator M e*Real.log (x e)+(1-G.indicator M e)*Real.log (1-x e)) := by by_cases hzero : p M=0 · simp [hzero] · have hpos : 0

ne_of_gt (matching_boolean_factor_pos G hp hpos e)), Finset.mul_sum] apply Finset.sum_congr rfl intro e _ simp only [LooplessGraph.matchingBits,LooplessGraph.indicator] by_cases he : e ∈ M.val <;> simp [he] have heq : -(∑ M, p M*Real.log (productBoolean x (G.matchingBits M)))=binaryEntropy x := by simp_rw [hlog] rw [Finset.sum_comm] have he (e : E) : (∑ M, p M*(G.indicator M e*Real.log (x e)+ (1-G.indicator M e)*Real.log (1-x e)))= x e*Real.log (x e)+(1-x e)*Real.log (1-x e) := by simp_rw [mul_add,← mul_assoc,Finset.sum_add_distrib,← Finset.sum_mul] have hmean : (∑ M,p M*G.indicator M e)=x e := congrFun hp.2 e have hbar : (∑ M,p M*(1-G.indicator M e))=1-x e := by simp_rw [mul_sub,mul_one,Finset.sum_sub_distrib,hp.1.2,hmean] rw [hmean,hbar] simp_rw [he] rw [Finset.sum_add_distrib,neg_add_rev] dsimp only [binaryEntropy] rw [entropy_eq,entropy_eq] ring rwa [heq] at hcross omit [Fintype V] [DecidableEq V] in theorem maxMatchingEntropy_le_binary (G : LooplessGraph V E) (x : E → ℝ) (hx : x ∈ G.polytope) : maxMatchingEntropy G x ≤ binaryEntropy x := by obtain ⟨p,hp,hopt⟩ := maxMatchingEntropy_attained G hx rw [← hopt] exact matching_entropy_le_binary G hp end MatchingEntropyBounds end end OAI