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Add lean source and binary files (part 47)
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import OAI.Combinatorics.PerfectMatching.EntropyUpper
namespace OAI
universe u_1 u_2
noncomputable section
open scoped BigOperators
namespace MatchingEntropy
variable {V : Type u_1} {E : Type u_2} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]
theorem separable_entropy_main (G : LooplessGraph V E)
(_hn : 2 ≤ Fintype.card V) (hPM : Nonempty G.Matching)
(x : E → ℝ) (hx : x ∈ G.polytope) :
separableLower x ≤ maxMatchingEntropy G x ∧
maxMatchingEntropy G x ≤ binaryEntropy x :=
⟨separable_lower G hPM x hx, maxMatchingEntropy_le_binary G x hx⟩
omit [Fintype V] [Fintype E] [DecidableEq V] in
theorem selected_uniform_mean (G : LooplessGraph V E) {k : ℕ} (hk : 1 ≤ k)
(M : Fin k → G.Matching)
(hdisjoint : ∀ i j, i ≠ j → Disjoint (M i).val (M j).val) :
∃ x ∈ G.polytope, ∀ e, x e=0 ∨ x e=1/(k:ℝ) := by
classical
have hkR : (0:ℝ)<k := by exact_mod_cast (show 0<k by omega)
have hsum : (∑ i : Fin k, (1/(k:ℝ)))=1 := by
simp only [Finset.sum_const,Finset.card_univ,Fintype.card_fin,nsmul_eq_mul]
field_simp
let x := ∑ i : Fin k, (1/(k:ℝ)) • G.indicator (M i)
refine ⟨x,?_,?_⟩
· exact (convex_convexHull ℝ (Set.range G.indicator)).sum_mem
(fun (i : Fin k) _ => (one_div_pos.mpr hkR).le) hsum
(fun i _ => subset_convexHull ℝ _ (Set.mem_range_self (M i)))
· intro e
dsimp only [x]
simp only [Finset.sum_apply,Pi.smul_apply,smul_eq_mul]
by_cases he : ∃ i, e ∈ (M i).val
· obtain ⟨i,hi⟩ := he
right
rw [Finset.sum_eq_single i]
· simp [LooplessGraph.indicator,hi]
· intro j _ hji
have hj : e ∉ (M j).val := fun h =>
Finset.disjoint_left.mp (hdisjoint j i hji) h hi
simp [LooplessGraph.indicator,hj]
· simp
· left
apply Finset.sum_eq_zero
intro i _
have hi : e ∉ (M i).val := fun h => he ⟨i,h⟩
simp [LooplessGraph.indicator,hi]
theorem separableLower_uniform (G : LooplessGraph V E) {r k : ℕ}
(hV : Fintype.card V=2*r) (hk : 2 ≤ k) {x : E → ℝ} (hx : x ∈ G.polytope)
(huniform : ∀ e, x e=0 ∨ x e=1/(k:ℝ)) :
separableLower x = (r:ℝ)*(Real.log (k:ℝ)+
(3*((k-1:ℕ):ℝ))*Real.log (1-1/(k:ℝ))) := by
have hkR : (0:ℝ)<k := by exact_mod_cast (show 0<k by omega)
have hkcast : ((k-1:ℕ):ℝ)=(k:ℝ)-1 := by rw [Nat.cast_sub (by omega)]; norm_num
have ha (e : E) : Real.negMulLog (x e)=x e*Real.log (k:ℝ) := by
rcases huniform e with he | he
· simp [he]
· rw [he,one_div,Real.negMulLog,Real.log_inv]
ring
have hb (e : E) : Real.negMulLog (1-x e)=
-((k:ℝ)-1)*x e*Real.log (1-1/(k:ℝ)) := by
rcases huniform e with he | he
· simp [he]
· rw [he,Real.negMulLog]
field_simp
unfold separableLower entropy
simp_rw [ha,hb]
rw [← Finset.sum_mul,← Finset.sum_mul,← Finset.mul_sum,G.marginal_sum hV hx,hkcast]
ring
theorem structuralBase_eq_exp {k : ℕ} (hk : 2 ≤ k) :
structuralBase k = Real.exp (Real.log (k:ℝ)+
(3*((k-1:ℕ):ℝ))*Real.log (1-1/(k:ℝ))) := by
have hkR : (1:ℝ)<k := by exact_mod_cast (show 1<k by omega)
have ht : 0<1-1/(k:ℝ) := by
have hh := (div_lt_one (by linarith : (0:ℝ)<k)).mpr hkR
linarith
rw [structuralBase,ite_eq_right (by omega),Real.exp_add,Real.exp_log (by linarith)]
have hc : (3*((k-1:ℕ):ℝ)) = ((3*(k-1):ℕ):ℝ) := by push_cast; ring
rw [hc,Real.exp_nat_mul,Real.exp_log ht]
theorem structuralBase_lower {k : ℕ} (hk : 1 ≤ k) :
Real.exp (-3)*(k:ℝ) ≤ structuralBase k := by
by_cases hk1 : k=1
· subst k
simp only [structuralBase,ite_true,Nat.cast_one,mul_one]
exact Real.exp_le_one_iff.mpr (by norm_num)
· have hk2 : 2 ≤ k := by omega
have hkR : (1:ℝ)<k := by exact_mod_cast (show 1<k by omega)
have hk0 : (0:ℝ)<k := by linarith
have ht : 0<1-1/(k:ℝ) := sub_pos.mpr ((div_lt_one hk0).mpr hkR)
have hb := Real.log_le_sub_one_of_pos (inv_pos.mpr ht)
rw [Real.log_inv] at hb
have hkm : 0<(k:ℝ)-1 := by linarith
have heq : ((1-1/(k:ℝ))⁻¹-1)*((k:ℝ)-1)=1 := by
field_simp
ring
have hh := mul_le_mul_of_nonneg_right hb hkm.le
rw [heq] at hh
have hlog : -1 ≤ ((k:ℝ)-1)*Real.log (1-1/(k:ℝ)) := by nlinarith
rw [structuralBase_eq_exp hk2]
have hkcast : ((k-1:ℕ):ℝ)=(k:ℝ)-1 := by rw [Nat.cast_sub (by omega)]; norm_num
have hbase : Real.exp (-3)*(k:ℝ)=Real.exp (-3+Real.log (k:ℝ)) := by
rw [Real.exp_add,Real.exp_log hk0]
rw [hbase]
apply Real.exp_le_exp.mpr
rw [hkcast]
nlinarith
theorem uniform_support_count (G : LooplessGraph V E) {r k : ℕ}
(hV : Fintype.card V=2*r) (hk : 1 ≤ k) {x : E → ℝ} (hx : x ∈ G.polytope)
(huniform : ∀ e, x e=0 ∨ x e=1/(k:ℝ)) :
structuralBase k ^ r ≤ (Fintype.card G.Matching : ℝ) ∧
(Real.exp (-3)*(k:ℝ)) ^ r ≤ structuralBase k ^ r := by
have hPM : Nonempty G.Matching := by
obtain ⟨p,hp⟩ := (G.mem_polytope_iff x).mp hx
by_contra h
have : IsEmpty G.Matching := not_nonempty_iff.mp h
simpa using hp.1.2
have hN : (0:ℝ)<Fintype.card G.Matching := by
exact_mod_cast Fintype.card_pos_iff.mpr hPM
constructor
· by_cases hk1 : k=1
· subst k
simp only [structuralBase,ite_true,one_pow]
exact_mod_cast (Fintype.card_pos_iff.mpr hPM)
· have hk2 : 2 ≤ k := by omega
have hlog := (separable_lower G hPM x hx).trans (maxMatchingEntropy_le_log_card G hx)
rw [separableLower_uniform G hV hk2 hx huniform] at hlog
have he := Real.exp_le_exp.mpr hlog
rw [Real.exp_log hN,Real.exp_nat_mul,← structuralBase_eq_exp hk2] at he
exact he
· exact pow_le_pow_left₀ (mul_nonneg (Real.exp_pos _).le (Nat.cast_nonneg _))
(structuralBase_lower hk) r
theorem structural_count_main (G : LooplessGraph V E) (r k : ℕ)
(_hr : 0<r) (hV : Fintype.card V=2*r) (hk : 1 ≤ k)
(M : Fin k → G.Matching)
(hdisjoint : ∀ i j, i≠j → Disjoint (M i).val (M j).val) :
structuralBase k ^ r ≤ (Fintype.card G.Matching : ℝ) ∧
(Real.exp (-3)*(k:ℝ)) ^ r ≤ structuralBase k ^ r := by
obtain ⟨x,hx,hu⟩ := selected_uniform_mean G hk M hdisjoint
exact uniform_support_count G hV hk hx hu
theorem regular_uniform_mem (G : LooplessGraph V E) {r k : ℕ}
(hV : Fintype.card V=2*r) (hk : 1 ≤ k)
(hregular : ∀ v, (Finset.univ.filter (G.Incident v)).card=k)
(hodd : ∀ S : Finset V, Odd S.card → k ≤ (G.cut S).card) :
(fun _ : E => 1/(k:ℝ)) ∈ G.polytope := by
have hkR : (0:ℝ)<k := by exact_mod_cast (show 0<k by omega)
rw [G.polytope_eq_constraints (by rw [hV]; exact even_two_mul r)]
refine ⟨fun _ => (one_div_pos.mpr hkR).le,?_,?_⟩
· intro v
unfold LooplessGraph.degree
rw [← Finset.sum_filter]
simp only [Finset.sum_const,nsmul_eq_mul,hregular]
field_simp
· intro S hS
unfold LooplessGraph.cutMass
simp only [Finset.sum_const,nsmul_eq_mul]
have hc : (k:ℝ) ≤ (G.cut S).card := by exact_mod_cast hodd S hS
calc
1 = (k:ℝ)*(1/(k:ℝ)) := by field_simp
_ ≤ _ := mul_le_mul_of_nonneg_right hc (one_div_pos.mpr hkR).le
theorem regular_count_main (G : LooplessGraph V E) (r k : ℕ)
(_hr : 0<r) (hV : Fintype.card V=2*r) (hk : 1 ≤ k)
(hregular : ∀ v, (Finset.univ.filter (G.Incident v)).card=k)
(hodd : ∀ S : Finset V, Odd S.card → k ≤ (G.cut S).card) :
structuralBase k ^ r ≤ (Fintype.card G.Matching : ℝ) ∧
(Real.exp (-3)*(k:ℝ)) ^ r ≤ structuralBase k ^ r := by
exact uniform_support_count G hV hk (regular_uniform_mem G hV hk hregular hodd)
(fun _ => Or.inr rfl)
end MatchingEntropy
end
end OAI