openAI-math-dataset / lean /OAI /Combinatorics /BalancedRyser /Local /InjectionExposureMixture.lean
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Add lean source and binary files (part 40)
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import OAI.Combinatorics.BalancedRyser.Local.InjectionAuxiliaryExposure
namespace OAI
namespace Balanced.InjectionExposure
noncomputable section
open scoped Classical BigOperators
variable {I J Z : Type*} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
theorem mem_completions_symm (K : Finset I) (e f : I ↪ J) :
e ∈ completions K f ↔ f ∈ completions K e := by
simp only [mem_completions]
exact ⟨fun h j hj => (h j hj).symm, fun h j hj => (h j hj).symm⟩
theorem completions_eq_of_mem (K : Finset I) (e f : I ↪ J)
(h : e ∈ completions K f) : completions K e = completions K f := by
ext a
simp only [mem_completions] at h ⊢
exact ⟨fun ha j hj => (ha j hj).trans (h j hj),
fun ha j hj => (ha j hj).trans (h j hj).symm⟩
variable [Nonempty (I ↪ J)]
theorem uniform_bind_completions (K : Finset I) :
(PMF.uniformOfFintype (I ↪ J)).bind
(fun e => PMF.uniformOfFinset (completions K e) (completions_nonempty K e)) =
PMF.uniformOfFintype (I ↪ J) := by
ext f
rw [PMF.bind_apply, tsum_fintype]
simp only [PMF.uniformOfFintype_apply]
rw [← Finset.mul_sum]
suffices hs : (∑ e : I ↪ J,
PMF.uniformOfFinset (completions K e) (completions_nonempty K e) f) = 1 by
rw [hs, mul_one]
have heq : (∑ e : I ↪ J,
PMF.uniformOfFinset (completions K e) (completions_nonempty K e) f) =
∑ e : I ↪ J, if e ∈ completions K f then
((completions K f).card : ENNReal)⁻¹ else 0 := by
apply Finset.sum_congr rfl
intro e _
rw [PMF.uniformOfFinset_apply]
by_cases h : e ∈ completions K f
· have hf : f ∈ completions K e := (mem_completions_symm K e f).mp h
rw [ite_eq_left hf, ite_eq_left h, completions_eq_of_mem K e f h]
· have hf : f ∉ completions K e := fun hf => h ((mem_completions_symm K f e).mp hf)
rw [ite_eq_right hf, ite_eq_right h]
rw [heq]
have hfilter : Finset.univ.filter (fun e => e ∈ completions K f) = completions K f := by
ext e
simp
rw [← Finset.sum_filter, hfilter, Finset.sum_const, nsmul_eq_mul]
exact ENNReal.mul_inv_cancel
(by exact_mod_cast (completions_nonempty K f).card_pos.ne') (by simp)
theorem uniform_bind_auxiliaryLaw (K : Finset I)
(noise : (I ↪ J) → PMF Z) :
(PMF.uniformOfFintype (I ↪ J)).bind (fun e => auxiliaryLaw K e noise) =
(PMF.uniformOfFintype (I ↪ J)).bind
(fun e => (noise e).map (fun z => (e,z))) := by
unfold auxiliaryLaw
rw [← PMF.bind_bind, uniform_bind_completions]
theorem original_probability_eq_auxiliary_average (K : Finset I)
(noise : (I ↪ J) → PMF Z) (E : Set ((I ↪ J) × Z)) :
(((PMF.uniformOfFintype (I ↪ J)).bind
(fun e => (noise e).map (fun z => (e,z)))).toOuterMeasure E).toReal =
(∑ e : I ↪ J, ((auxiliaryLaw K e noise).toOuterMeasure E).toReal) /
Fintype.card (I ↪ J) := by
rw [← uniform_bind_auxiliaryLaw K noise, PMF.toOuterMeasure_bind_apply,
tsum_fintype, ENNReal.toReal_sum]
· simp_rw [ENNReal.toReal_mul, PMF.uniformOfFintype_apply,
ENNReal.toReal_inv, ENNReal.toReal_natCast]
rw [← Finset.mul_sum]
ring
· intro e _
apply ENNReal.mul_ne_top ((PMF.uniformOfFintype (I ↪ J)).apply_ne_top e)
rw [PMF.toOuterMeasure_apply]
exact PMF.tsum_coe_indicator_ne_top _ _
theorem original_probability_le_of_auxiliary (K : Finset I)
(noise : (I ↪ J) → PMF Z) (E : Set ((I ↪ J) × Z)) (B : ℝ)
(h : ∀ e, ((auxiliaryLaw K e noise).toOuterMeasure E).toReal ≤ B) :
(((PMF.uniformOfFintype (I ↪ J)).bind
(fun e => (noise e).map (fun z => (e,z)))).toOuterMeasure E).toReal ≤ B := by
rw [original_probability_eq_auxiliary_average K noise E]
have hc : (0 : ℝ) < Fintype.card (I ↪ J) := by exact_mod_cast Fintype.card_pos
apply (div_le_iff₀ hc).mpr
calc
_ ≤ ∑ _e : I ↪ J, B := Finset.sum_le_sum (fun e _ => h e)
_ = B * Fintype.card (I ↪ J) := by simp [mul_comm]
end
end Balanced.InjectionExposure
end OAI