roseking's picture
Add lean source and binary files (part 47)
e5a97c6 verified
Raw History Blame Contribute Delete
6.28 kB
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 M) (e : E) :
0<(if G.matchingBits M e then x e else 1-x e) := by
unfold LooplessGraph.matchingBits
by_cases he : e ∈ M.val
· simp only [he,decide_true,ite_true]
have hh := Finset.single_le_sum (f := fun N => 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<p M) : 0<productBoolean x (G.matchingBits M) :=
Finset.prod_pos (fun e _ => 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<p M := lt_of_le_of_ne (hp.1.1 M) (Ne.symm hzero)
rw [productBoolean,Real.log_prod (fun e _ => 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