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Add lean source and binary files (part 44)
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import Mathlib
import OAI.Combinatorics.IndependentSets.Repetition.Basic
import OAI.Combinatorics.IndependentSets.Repetition.ProfileCorrection
import OAI.Combinatorics.IndependentSets.Repetition.Value
namespace OAI
namespace IndependentSetsGames.Foundations.Repetition
open scoped BigOperators
open Games
noncomputable section
variable {X Y : Type*} [Fintype X] [Fintype Y]
def normalizeOr (w : X → ℝ) (hw : ∀ x, 0 ≤ w x)
(fallback : FiniteDistribution X) : FiniteDistribution X :=
if h : 0 < ∑ x, w x then
{ weight := normalizedWeight w
nonnegative := (normalizedWeight_isProbability w hw h).1
normalized := (normalizedWeight_isProbability w hw h).2 }
else fallback
theorem sum_mul_normalizeOr (w : X → ℝ) (hw : ∀ x, 0 ≤ w x)
(fallback : FiniteDistribution X) (x : X) :
(∑ z, w z) * (normalizeOr w hw fallback).weight x = w x := by
classical
have hs : 0 ≤ ∑ z, w z := Finset.sum_nonneg (fun z _ => hw z)
by_cases h : 0 < ∑ z, w z
· simp only [normalizeOr, dite_eq_left h, normalizedWeight]
field_simp
· have hz : ∑ z, w z = 0 := le_antisymm (le_of_not_gt h) hs
have hx : w x = 0 := by
apply le_antisymm _ (hw x)
have hl := Finset.single_le_sum (fun z _ => hw z) (Finset.mem_univ x)
simpa only [hz] using hl
simp [normalizeOr, hz, hx]
theorem local_completion_recombination
(left : X → ℝ) (right : Y → ℝ)
(hl : ∀ x, 0 ≤ left x) (hr : ∀ y, 0 ≤ right y)
(defaultLeft : FiniteDistribution X) (defaultRight : FiniteDistribution Y)
(c : ℝ) (x : X) (y : Y) :
(c * (∑ z, left z) * (∑ z, right z)) *
((normalizeOr left hl defaultLeft).weight x *
(normalizeOr right hr defaultRight).weight y) = c * left x * right y := by
calc
_ = c * ((∑ z, left z) * (normalizeOr left hl defaultLeft).weight x) *
((∑ z, right z) * (normalizeOr right hr defaultRight).weight y) := by ring
_ = _ := by rw [sum_mul_normalizeOr, sum_mul_normalizeOr]
theorem factorized_completion_row
(left : X → ℝ) (right : Y → ℝ)
(hl : ∀ x, 0 ≤ left x) (hr : ∀ y, 0 ≤ right y)
(defaultLeft : FiniteDistribution X) (defaultRight : FiniteDistribution Y)
(c : ℝ) (xy : X × Y) :
(∑ z : X × Y, c * left z.1 * right z.2) *
((normalizeOr left hl defaultLeft).product
(normalizeOr right hr defaultRight)).weight xy = c * left xy.1 * right xy.2 := by
have hm : (∑ z : X × Y, c * left z.1 * right z.2) =
c * (∑ z, left z) * (∑ z, right z) := by
simp_rw [mul_assoc, ← Finset.mul_sum]
rw [productWeight_mass]
rw [hm]
exact local_completion_recombination left right hl hr defaultLeft defaultRight c xy.1 xy.2
end
end IndependentSetsGames.Foundations.Repetition
end OAI