openAI-math-dataset / lean /OAI /Combinatorics /ContingencyTables /Transport /CompletionEnergyComparison.lean
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import OAI.Combinatorics.ContingencyTables.Transport.CompletionChainFlow
namespace OAI
/-! # From literal acceptance counts to weighted graph energy -/
namespace ContingencyTables.CompletionTranslation
open scoped BigOperators Classical
open CommonBasesFPRAS
variable {X I J : Type*} [Fintype X] [Nonempty X] [Fintype I] [Fintype J]
/-- This is the actual chain energy comparison. The half-acceptance
premise is supplied by the proved reference-star small-entry estimate. -/
theorem completionChain_energy_lower
(R : X → Option I → ℕ) (P : X → Option J → ℕ)
(htotal : ∀ x,(∑ i,R x i)=∑ j,P x j)
(Adj : X → X → Prop) (hsym : ∀ x y,Adj x y ↔ Adj y x)
(β : ℝ) (hβ : 0 ≤ β) (D : ℕ)
(hdegree : ∀ x,(Finset.univ.filter (Adj x)).card ≤ D)
(hproposal : (D:ℝ)*β ≤ 1/2)
(haccept : ∀ x y,Adj x y → (blockCount R P x:ℝ)/2 ≤ acceptedCount R P x y)
(H : X → ℝ) :
β/(2*MetropolisChain.normalizer (fun z => (blockCount R P z:ℝ)))*
((∑ x,∑ y,if Adj x y then min (blockCount R P x:ℝ) (blockCount R P y:ℝ)*
(H x-H y)^2 else 0)/2) ≤
(completionChain R P htotal Adj hsym β hβ D hdegree hproposal).energy H := by
let Z := MetropolisChain.normalizer (fun z => (blockCount R P z:ℝ))
have hZ : 0 < Z := MetropolisChain.normalizer_pos _
(fun z => by exact_mod_cast blockCount_pos R P htotal z)
have hterm (x y : X) :
β/2*(if Adj x y then min (blockCount R P x:ℝ) (blockCount R P y:ℝ)*(H x-H y)^2 else 0) ≤
if Adj x y then β*(acceptedCount R P x y:ℝ)*(H x-H y)^2 else 0 := by
by_cases hxy : Adj x y
· rw [ite_eq_left hxy,ite_eq_left hxy]
have hm : min (blockCount R P x:ℝ) (blockCount R P y:ℝ)/2 ≤ acceptedCount R P x y :=
(div_le_div_of_nonneg_right (min_le_left _ _) (by norm_num)).trans (haccept x y hxy)
have hs := mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left hm hβ) (sq_nonneg (H x-H y))
convert hs using 1
all_goals ring
· rw [ite_eq_right hxy,ite_eq_right hxy,mul_zero]
have hsum := Finset.sum_le_sum (fun x (_ : x ∈ (Finset.univ : Finset X)) =>
Finset.sum_le_sum (fun y (_ : y ∈ (Finset.univ : Finset X)) => hterm x y))
simp_rw [← Finset.mul_sum] at hsum
rw [completionChain_energy]
have hb := div_le_div_of_nonneg_right hsum (show 0 ≤ 2*Z by positivity)
convert hb using 1
all_goals
dsimp only [Z]
ring
end ContingencyTables.CompletionTranslation
end OAI