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Add lean source and binary files (part 45)
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import Mathlib
import OAI.Combinatorics.IndependentSets.Repetition.TotalVariation
import OAI.Combinatorics.IndependentSets.Repetition.Pinsker
namespace OAI
namespace IndependentSetsGames.Foundations.Repetition
open scoped BigOperators
open Games Information
noncomputable section
variable {Q₁ Q₂ A₁ A₂ : Type*}
[Fintype Q₁] [Fintype Q₂] [Fintype A₁] [Fintype A₂]
[DecidableEq Q₁] [DecidableEq Q₂]
{n : Nat}
def selectedTupleLikelihood (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (questions : Fin n → Q₁ × Q₂) : ℝ :=
if G.selectedWins strategy selected (Game.tupleQuestionEquiv n questions) then 1 else 0
omit [DecidableEq Q₁] [DecidableEq Q₂] in
theorem selectedTupleLikelihood_nonnegative (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (questions : Fin n → Q₁ × Q₂) :
0 ≤ selectedTupleLikelihood G strategy selected questions := by
unfold selectedTupleLikelihood
split <;> norm_num
omit [DecidableEq Q₁] [DecidableEq Q₂] in
theorem selectedTupleLikelihood_le_one (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (questions : Fin n → Q₁ × Q₂) :
selectedTupleLikelihood G strategy selected questions ≤ 1 := by
unfold selectedTupleLikelihood
split <;> norm_num
omit [DecidableEq Q₁] [DecidableEq Q₂] in
theorem selectedTupleLikelihood_mass (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) :
(∑ questions, independentProduct (fun _ : Fin n => G.questions.weight) questions *
selectedTupleLikelihood G strategy selected questions) =
G.selectedSuccess strategy selected := by
classical
change _ = ((G.questions.iid n).transport (Game.tupleQuestionEquiv n)).probability
(G.selectedWins strategy selected)
rw [FiniteDistribution.probability_transport]
simp only [FiniteDistribution.probability, FiniteDistribution.iid, independentProduct,
selectedTupleLikelihood, mul_ite, mul_one, mul_zero]
def selectedQuestionMarginal (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected)
(i : Fin n) : FiniteDistribution (Q₁ × Q₂) :=
((G.repetition n).questions.condition (G.selectedWins strategy selected) positive).pushforward
(fun questions => (questions.1 i, questions.2 i))
theorem selectedQuestionMarginal_weight (G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected)
(i : Fin n) :
(selectedQuestionMarginal G strategy selected positive i).weight =
coordinateMarginal
(posterior (independentProduct (fun _ : Fin n => G.questions.weight))
(selectedTupleLikelihood G strategy selected) (G.selectedSuccess strategy selected)) i := by
classical
funext a
simp only [selectedQuestionMarginal, FiniteDistribution.pushforward,
FiniteDistribution.condition, coordinateMarginal]
refine Fintype.sum_equiv (Game.tupleQuestionEquiv (Q₁ := Q₁) (Q₂ := Q₂) n).symm _ _ ?_
intro questions
cases he : G.selectedWins strategy selected questions <;>
simp [Game.repetition_question_weight, Game.tupleQuestionEquiv, posterior, independentProduct, selectedTupleLikelihood, Game.selectedSuccess, he]
theorem selectedQuestionMarginal_totalVariation_sq_sum_le_log
(G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected) :
(∑ i : Fin n,
(selectedQuestionMarginal G strategy selected positive i).totalVariation G.questions ^ 2) ≤
Real.log (1 / G.selectedSuccess strategy selected) := by
classical
change (∑ i : Fin n, Information.totalVariation
(selectedQuestionMarginal G strategy selected positive i).weight G.questions.weight ^ 2) ≤ _
simp_rw [selectedQuestionMarginal_weight]
exact posterior_coordinate_totalVariation_sq_sum_le_log
(fun _ : Fin n => G.questions.weight) (fun _ => gameLaw_isProbability G.questions)
(selectedTupleLikelihood G strategy selected)
(selectedTupleLikelihood_nonnegative G strategy selected)
(selectedTupleLikelihood_le_one G strategy selected)
positive (selectedTupleLikelihood_mass G strategy selected)
theorem unselectedQuestionMarginal_totalVariation_sq_sum_le_log
(G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected) :
(∑ i : {i : Fin n // i ∉ selected},
(selectedQuestionMarginal G strategy selected positive i.1).totalVariation G.questions ^ 2) ≤
Real.log (1 / G.selectedSuccess strategy selected) := by
classical
let d : Fin n → ℝ := fun i =>
(selectedQuestionMarginal G strategy selected positive i).totalVariation G.questions
have hfull := selectedQuestionMarginal_totalVariation_sq_sum_le_log G strategy selected positive
have hsplit := Fintype.sum_subtype_add_sum_subtype (fun i : Fin n => i ∈ selected)
(fun i => d i ^ 2)
have hinst : Subtype.fintype (fun i : Fin n => i ∈ selected) =
Finset.Subtype.fintype selected := Subsingleton.elim _ _
rw [hinst] at hsplit
have hselected : 0 ≤ ∑ i : {i : Fin n // i ∈ selected}, d i.1 ^ 2 :=
Finset.sum_nonneg (fun _ _ => sq_nonneg _)
change (∑ i : {i : Fin n // i ∉ selected}, d i.1 ^ 2) ≤ _
change (∑ i : Fin n, d i ^ 2) ≤ _ at hfull
linarith
theorem unselectedQuestionMarginal_totalVariation_sum_le_sqrt
(G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected) :
(∑ i : {i : Fin n // i ∉ selected},
(selectedQuestionMarginal G strategy selected positive i.1).totalVariation G.questions) ≤
Real.sqrt ((Fintype.card {i : Fin n // i ∉ selected} : ℝ) *
Real.log (1 / G.selectedSuccess strategy selected)) := by
classical
let d : {i : Fin n // i ∉ selected} → ℝ := fun i =>
(selectedQuestionMarginal G strategy selected positive i.1).totalVariation G.questions
have hsq := unselectedQuestionMarginal_totalVariation_sq_sum_le_log G strategy selected positive
have hcs := Finset.sum_mul_sq_le_sq_mul_sq
(Finset.univ : Finset {i : Fin n // i ∉ selected}) d (fun _ => (1 : ℝ))
simp only [mul_one, one_pow, Finset.sum_const, Finset.card_univ, nsmul_eq_mul, mul_one] at hcs
have hln : 0 ≤ Real.log (1 / G.selectedSuccess strategy selected) :=
(Finset.sum_nonneg (fun _ _ => sq_nonneg _)).trans hsq
have hcard : 0 ≤ (Fintype.card {i : Fin n // i ∉ selected} : ℝ) := Nat.cast_nonneg _
have hmul := mul_le_mul_of_nonneg_left hsq hcard
have hsqrt := Real.sq_sqrt (mul_nonneg hcard hln)
have hsqrtpos := Real.sqrt_nonneg
((Fintype.card {i : Fin n // i ∉ selected} : ℝ) *
Real.log (1 / G.selectedSuccess strategy selected))
change (∑ i, d i) ≤ _
change (∑ i, d i ^ 2) ≤ _ at hsq
change (Fintype.card {i : Fin n // i ∉ selected} : ℝ) * (∑ i, d i ^ 2) ≤ _ at hmul
nlinarith
theorem unselectedQuestionMarginal_totalVariation_sum_le_sqrt_sub_card
(G : Game Q₁ Q₂ A₁ A₂)
(strategy : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
(selected : Finset (Fin n)) (positive : 0 < G.selectedSuccess strategy selected) :
(∑ i : {i : Fin n // i ∉ selected},
(selectedQuestionMarginal G strategy selected positive i.1).totalVariation G.questions) ≤
Real.sqrt (((n - selected.card : Nat) : ℝ) *
Real.log (1 / G.selectedSuccess strategy selected)) := by
classical
have hcard : Fintype.card {i : Fin n // i ∉ selected} = n - selected.card := by
simp
simpa only [hcard] using
unselectedQuestionMarginal_totalVariation_sum_le_sqrt G strategy selected positive
end
end IndependentSetsGames.Foundations.Repetition
end OAI