roseking's picture
Add lean source and binary files (part 47)
e5a97c6 verified
Raw History Blame Contribute Delete
6.17 kB
import OAI.Combinatorics.MatchingEntropy.Face
namespace OAI
noncomputable section
open scoped BigOperators Topology
open Filter
universe uV uE uI uJ uA uB uC uW uF uD uι
namespace MatchingEntropyBounds
variable {V : Type uV} {E : Type uE} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]
def marginalEntropy (y : E → ℝ) : ℝ := entropy y
theorem entropy_eq {ι : Type uι} [Fintype ι] (p : ι → ℝ) :
entropy p = -(∑ i, p i * Real.log (p i)) := by
simp [entropy, Real.negMulLog, Finset.sum_neg_distrib, neg_mul]
theorem continuous_entropy {ι : Type uι} [Fintype ι] :
Continuous (entropy : (ι → ℝ) → ℝ) := by
unfold entropy
fun_prop
theorem entropy_nonneg {ι : Type uι} [Fintype ι] {p : ι → ℝ}
(hp : p ∈ probabilitySimplex ι) : 0 ≤ entropy p := by
apply Finset.sum_nonneg
intro i _
exact Real.negMulLog_nonneg (mem_Icc_of_mem_probabilitySimplex hp i).1
(mem_Icc_of_mem_probabilitySimplex hp i).2
theorem entropy_le_log_card {ι : Type uι} [Fintype ι] {p : ι → ℝ}
(hp : p ∈ probabilitySimplex ι) : entropy p ≤ Real.log (Fintype.card ι) := by
have hn : 0 < Fintype.card ι := by
by_contra h
have hz : Fintype.card ι = 0 := Nat.eq_zero_of_not_pos h
have : IsEmpty ι := Fintype.card_eq_zero_iff.mp hz
simpa using hp.2
have hnR : (0 : ℝ) < Fintype.card ι := by exact_mod_cast hn
have h := Finset.sum_le_sum (s := Finset.univ) (fun i _ ↦
Real.negMulLog_le_one_sub_self (mul_nonneg hnR.le (hp.1 i)))
simp_rw [Real.negMulLog_mul] at h
rw [Finset.sum_add_distrib, ← Finset.sum_mul, ← Finset.mul_sum,
hp.2, one_mul, Finset.sum_sub_distrib, ← Finset.mul_sum, hp.2] at h
simp only [Finset.sum_const, Finset.card_univ, nsmul_eq_mul, mul_one, sub_self] at h
change Real.negMulLog (Fintype.card ι) + (Fintype.card ι : ℝ) * entropy p ≤ 0 at h
rw [Real.negMulLog] at h
nlinarith
namespace LooplessGraph
omit [Fintype V] [DecidableEq V] in
theorem coordinate_mem_Icc (G : LooplessGraph V E) {y : E → ℝ}
(hy : y ∈ G.polytope) (e : E) : y e ∈ Set.Icc (0 : ℝ) 1 := by
obtain ⟨p, hp, rfl⟩ := (G.mem_polytope_iff y).mp hy
constructor
· exact Finset.sum_nonneg (fun M _ ↦ mul_nonneg (hp.1 M) (G.indicator_nonneg M e))
· calc
∑ M, p M * G.indicator M e ≤ ∑ M, p M * 1 :=
Finset.sum_le_sum (fun M _ ↦ mul_le_mul_of_nonneg_left (G.indicator_le_one M e) (hp.1 M))
_ = 1 := by simpa using hp.2
omit [Fintype E] [DecidableEq E] in
theorem incident_vertex_sum (G : LooplessGraph V E) (e : E) :
(∑ v, if G.Incident v e then (1 : ℕ) else 0) = 2 := by
classical
have he (v : V) : (if G.Incident v e then (1 : ℕ) else 0) =
(if G.left e = v then 1 else 0) + (if G.right e = v then 1 else 0) := by
by_cases hl : G.left e = v <;> by_cases hr : G.right e = v
· exact False.elim (G.loopless e (hl.trans hr.symm))
· simp [Incident, hl, hr]
· simp [Incident, hl, hr]
· simp [Incident, hl, hr]
simp_rw [he, Finset.sum_add_distrib]
simp
omit [Fintype V] [Fintype E] [DecidableEq E] in
theorem matching_incident_sum (G : LooplessGraph V E) (M : G.Matching) (v : V) :
(∑ e ∈ M.val, if G.Incident v e then (1 : ℕ) else 0) = 1 := by
classical
obtain ⟨e, ⟨he, hv⟩, hu⟩ := M.property v
rw [Finset.sum_eq_single e]
· simp [hv]
· intro e' he' hne
have hn : ¬ G.Incident v e' := fun hv' ↦ hne (hu e' ⟨he', hv'⟩)
simp [hn]
· simp [he]
omit [Fintype E] [DecidableEq E] in
theorem matching_card_twice (G : LooplessGraph V E) (M : G.Matching) :
2 * M.val.card = Fintype.card V := by
classical
calc
2 * M.val.card = ∑ e ∈ M.val, ∑ v, if G.Incident v e then (1 : ℕ) else 0 := by
simp_rw [G.incident_vertex_sum]
simp [Nat.mul_comm]
_ = ∑ v, ∑ e ∈ M.val, if G.Incident v e then (1 : ℕ) else 0 := Finset.sum_comm
_ = Fintype.card V := by
simp_rw [G.matching_incident_sum]
simp
omit [Fintype E] [DecidableEq E] in
theorem matching_card (G : LooplessGraph V E) {m : ℕ}
(hV : Fintype.card V = 2 * m) (M : G.Matching) : M.val.card = m := by
have h := G.matching_card_twice M
omega
theorem indicator_sum (G : LooplessGraph V E) {m : ℕ}
(hV : Fintype.card V = 2 * m) (M : G.Matching) :
∑ e, G.indicator M e = (m : ℝ) := by
simp [indicator, G.matching_card hV M]
theorem marginal_sum (G : LooplessGraph V E) {m : ℕ}
(hV : Fintype.card V = 2 * m) {y : E → ℝ} (hy : y ∈ G.polytope) :
∑ e, y e = (m : ℝ) := by
obtain ⟨p, hp, rfl⟩ := (G.mem_polytope_iff y).mp hy
simp_rw [mean]
rw [Finset.sum_comm]
simp_rw [← Finset.mul_sum, G.indicator_sum hV]
rw [← Finset.sum_mul, hp.2, one_mul]
end LooplessGraph
omit [Fintype V] [DecidableEq V] in
theorem maxMatchingEntropy_attained (G : LooplessGraph V E) {y : E → ℝ}
(hy : y ∈ G.polytope) :
∃ p ∈ G.feasibleLaws y, entropy p = maxMatchingEntropy G y := by
have hc := (G.compact_feasibleLaws y).image continuous_entropy
have hn := ((G.mem_polytope_iff y).mp hy).image entropy
obtain ⟨p, hp, hpe⟩ := hc.sSup_mem hn
exact ⟨p, hp, hpe⟩
omit [Fintype V] [DecidableEq V] in
theorem maxMatchingEntropy_nonneg (G : LooplessGraph V E) {y : E → ℝ}
(hy : y ∈ G.polytope) : 0 ≤ maxMatchingEntropy G y := by
obtain ⟨p, hp, he⟩ := maxMatchingEntropy_attained G hy
rw [← he]
exact entropy_nonneg hp.1
omit [Fintype V] [DecidableEq V] in
theorem maxMatchingEntropy_le_log_card (G : LooplessGraph V E) {y : E → ℝ}
(hy : y ∈ G.polytope) :
maxMatchingEntropy G y ≤ Real.log (Fintype.card G.Matching) := by
obtain ⟨p, hp, he⟩ := maxMatchingEntropy_attained G hy
rw [← he]
exact entropy_le_log_card hp.1
omit [Fintype V] [DecidableEq V] in
theorem entropy_le_maxMatchingEntropy (G : LooplessGraph V E) {y : E → ℝ}
{p : G.Matching → ℝ} (hp : p ∈ G.feasibleLaws y) :
entropy p ≤ maxMatchingEntropy G y := by
apply le_csSup
· exact ((G.compact_feasibleLaws y).image continuous_entropy).bddAbove
· exact ⟨p, hp, rfl⟩
end MatchingEntropyBounds
end
end OAI