openAI-math-dataset / lean /OAI /Probability /EntangledGames /ExponentialBounds.lean
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import OAI.Probability.EntangledGames.TestExtraction
namespace OAI
noncomputable section
namespace ThresholdParallelRepetition
lemma power_ratio_bound {v δ : ℝ} (hv : 0 ≤ v) (hδ : 0 < δ) (hs : v+δ ≤ 1) (T : ℕ) :
(v+δ/2)^T/(v+δ)^T ≤ Real.exp (-(δ*(T : ℝ)/2)) := by
have hs0 : 0 < v+δ := by linarith
have hr0 : 0 ≤ (v+δ/2)/(v+δ) := div_nonneg (by linarith) hs0.le
have hr : (v+δ/2)/(v+δ) ≤ Real.exp (-δ/2) := by
have he := Real.add_one_le_exp (-δ/2)
have hratio : (v+δ/2)/(v+δ) ≤ 1-δ/2 := by
apply (div_le_iff₀ hs0).mpr
nlinarith
linarith
rw [← div_pow]
have hh := pow_le_pow_left₀ hr0 hr T
rw [← Real.exp_nat_mul] at hh
exact hh.trans_eq (by congr 1; ring)
lemma inverse_power_bound {s δ : ℝ} (hδ : 0 < δ) (hs : δ ≤ s) (T : ℕ) :
1/s^T ≤ Real.exp ((T : ℝ)/δ) := by
have hs0 : 0 < s := hδ.trans_le hs
have hh := Real.log_le_sub_one_of_pos (one_div_pos.mpr hδ)
rw [one_div, Real.log_inv] at hh
have hlog := Real.log_le_log hδ hs
have hl : -Real.log s ≤ 1/δ := by simpa only [one_div] using (show -Real.log s ≤ δ⁻¹ by linarith)
have hpow := mul_le_mul_of_nonneg_left hl (Nat.cast_nonneg T : (0:ℝ) ≤ T)
have he : 1/s^T = Real.exp (-(T : ℝ)*Real.log s) := by
rw [neg_mul, Real.exp_neg, Real.exp_nat_mul, Real.exp_log hs0, one_div]
rw [he]
apply Real.exp_le_exp.mpr
simpa only [mul_neg, neg_mul, div_eq_mul_inv, one_mul] using hpow
end ThresholdParallelRepetition
end
noncomputable section
namespace ThresholdParallelRepetition
lemma analytic_threshold_bound {v δ θ R E q : ℝ}
(hv : 0 ≤ v) (hδ : 0 < δ) (hδ1 : δ ≤ 1) (hs : v+δ ≤ 1)
(hθ : 2 ≤ θ) (hδθ : 8 ≤ δ*θ)
(hθR : θ/δ ≤ R/4) (hR : 2/δ ≤ R/4) (hE : E ≤ δ*θ/8)
(hq : q*(v+δ)^(⌊θ⌋₊) ≤ (v+δ/2)^(⌊θ⌋₊)+Real.exp (-R)*(2/δ)) :
q ≤ Real.exp (-E) := by
let T := ⌊θ⌋₊
let L := δ*θ/4
have hθ0 : 0 ≤ θ := by linarith
have hT : (T : ℝ) ≤ θ := Nat.floor_le hθ0
have hT' : θ/2 ≤ (T : ℝ) := by
have hh := Nat.lt_floor_add_one θ
dsimp [T]; linarith
have hs0 : 0 < v+δ := by linarith
have hp0 : 0 < (v+δ)^T := pow_pos hs0 _
have hq' : q ≤ (v+δ/2)^T/(v+δ)^T + Real.exp (-R)*(2/δ)/(v+δ)^T := by
rw [← add_div]
exact (le_div_iff₀ hp0).mpr hq
have hfirst : (v+δ/2)^T/(v+δ)^T ≤ Real.exp (-L) := by
apply (power_ratio_bound hv hδ hs T).trans
apply Real.exp_le_exp.mpr
dsimp [L]
nlinarith
have hTδ : (T : ℝ)/δ ≤ R/4 := (div_le_div_of_nonneg_right hT hδ.le).trans hθR
have hfac : 2/δ ≤ Real.exp (2/δ) := by linarith [Real.add_one_le_exp (2/δ)]
have hbad : Real.exp (-R)*(2/δ)/(v+δ)^T ≤ Real.exp (-R/2) := by
calc
Real.exp (-R)*(2/δ)/(v+δ)^T = Real.exp (-R)*(2/δ)*(1/(v+δ)^T) := by ring
_ ≤ Real.exp (-R)*Real.exp (2/δ)*Real.exp ((T : ℝ)/δ) := by
apply mul_le_mul
· exact mul_le_mul_of_nonneg_left hfac (Real.exp_pos _).le
· exact inverse_power_bound hδ (by linarith) T
· positivity
· positivity
_ = Real.exp (-R+2/δ+(T : ℝ)/δ) := by rw [Real.exp_add, Real.exp_add]
_ ≤ Real.exp (-R/2) := Real.exp_le_exp.mpr (by linarith)
have hδ2 : δ*δ ≤ 1 := by nlinarith
have hL : L ≤ R/2 := by
have hh : δ*θ ≤ θ/δ := by
apply (le_div_iff₀ hδ).mpr
nlinarith [mul_le_mul_of_nonneg_right hδ2 hθ0]
have hR0 : 0 < R := by have := div_pos (show (0:ℝ)<2 by norm_num) hδ; linarith
dsimp [L]; linarith
have hqL : q ≤ 2*Real.exp (-L) := by
have hb : Real.exp (-R)*(2/δ)/(v+δ)^T ≤ Real.exp (-L) :=
hbad.trans (Real.exp_le_exp.mpr (by linarith))
linarith
have htwo : 2 ≤ Real.exp (L/2) := by
have hh := Real.add_one_le_exp (L/2)
dsimp [L] at *
linarith
calc
q ≤ 2*Real.exp (-L) := hqL
_ ≤ Real.exp (L/2)*Real.exp (-L) := mul_le_mul_of_nonneg_right htwo (Real.exp_pos _).le
_ = Real.exp (-L/2) := by rw [← Real.exp_add]; congr 1; ring
_ ≤ Real.exp (-E) := by apply Real.exp_le_exp.mpr; dsimp [L]; linarith
lemma large_rate_parameters {δ k D : ℝ} (hδ : 0 < δ) (hδ1 : δ ≤ 1)
(hk : 0 < k) (hD : 1 ≤ D) (hbig : (2:ℝ)^100*D ≤ δ^12*k) :
2 ≤ δ^9*k/((2:ℝ)^90*D) ∧
8 ≤ δ*(δ^9*k/((2:ℝ)^90*D)) ∧
(δ^9*k/((2:ℝ)^90*D))/δ ≤ (δ^8*k/(2:ℝ)^83)/4 ∧
2/δ ≤ (δ^8*k/(2:ℝ)^83)/4 ∧
δ^13*k/((2:ℝ)^101*D) ≤ δ*(δ^9*k/((2:ℝ)^90*D))/8 := by
have hD0 : 0 < D := by linarith
have hden : 0 < (2:ℝ)^90*D := by positivity
have h129 : δ^12 ≤ δ^9 := pow_le_pow_of_le_one hδ.le hδ1 (by omega)
have h1210 : δ^12 ≤ δ^10 := pow_le_pow_of_le_one hδ.le hδ1 (by omega)
have h1310 : δ^13 ≤ δ^10 := pow_le_pow_of_le_one hδ.le hδ1 (by omega)
have h129k := mul_le_mul_of_nonneg_right h129 hk.le
have h1210k := mul_le_mul_of_nonneg_right h1210 hk.le
have h1310k := mul_le_mul_of_nonneg_right h1310 hk.le
have h8k : 0 ≤ δ^8*k := by positivity
have h10k : 0 ≤ δ^10*k := by positivity
refine ⟨?_, ?_, ?_, ?_, ?_⟩
· apply (le_div_iff₀ hden).mpr
nlinarith
· rw [← mul_div_assoc]
apply (le_div_iff₀ hden).mpr
nlinarith
· apply (div_le_iff₀ hδ).mpr
apply (div_le_iff₀ hden).mpr
have hh := mul_le_mul_of_nonneg_left hD h8k
nlinarith
· apply (div_le_iff₀ hδ).mpr
nlinarith
· rw [← mul_div_assoc, div_div]
apply (div_le_div_iff₀ (by positivity : 0 < (2:ℝ)^101*D) (by positivity : 0 < (2:ℝ)^90*D*8)).mpr
have hh := mul_le_mul_of_nonneg_right h1310k hD0.le
nlinarith [mul_nonneg h10k hD0.le]
end ThresholdParallelRepetition
end
noncomputable section
open scoped BigOperators MatrixOrder ComplexOrder
open Matrix
namespace ThresholdParallelRepetition
open QuantumSampling FiniteProbability Law MixedExposure
namespace RepeatedModel
variable {I m n : Type} [Fintype I] [DecidableEq I] [Nonempty I]
[Fintype m] [DecidableEq m] [Nonempty m] [Fintype n] [DecidableEq n] [Nonempty n]
{x y a b : ℕ} (G : Game x y a b)
(M : RepeatedModel (Fin (x+1)) (Fin (y+1)) (Fin (a+1)) (Fin (b+1)) I m n)
(hμ : M.μ = G.questionLaw) (hV : M.V = G.accepts)
include hμ hV
lemma threshold_exp_bound {δ : ℝ} (hδ : 0 < δ) (hs : entangledValue G+δ ≤ 1) :
Tests.threshold M.joint M.winsAt (entangledValue G+δ) ≤
Real.exp (-(δ^13*(Fintype.card I : ℝ)/((2:ℝ)^101*(1+Real.log (((a+1)*(b+1) : ℕ) : ℝ))))) := by
let D : ℝ := 1+Real.log (((a+1)*(b+1) : ℕ) : ℝ)
let k : ℝ := Fintype.card I
let θ : ℝ := δ^9*k/((2:ℝ)^90*D)
let R : ℝ := δ^8*k/(2:ℝ)^83
let E : ℝ := δ^13*k/((2:ℝ)^101*D)
have hd : (1:ℝ) ≤ (((a+1)*(b+1) : ℕ) : ℝ) := by
exact_mod_cast (Nat.mul_pos (Nat.succ_pos a) (Nat.succ_pos b))
have hD : 1 ≤ D := by dsimp [D]; linarith [Real.log_nonneg hd]
have hD0 : 0 < D := by linarith
have hk : 0 < k := by dsimp [k]; exact_mod_cast Fintype.card_pos (α := I)
have hv := entangledValue_nonneg G
have hδ1 : δ ≤ 1 := by linarith
change _ ≤ Real.exp (-E)
by_cases hsmall : δ^12*k ≤ (2:ℝ)^100*D
· apply (M.threshold_mean_bound G hμ hV hδ hs).trans
apply Real.exp_le_exp.mpr
suffices E ≤ δ by linarith
dsimp [E]
apply (div_le_iff₀ (by positivity : 0 < (2:ℝ)^101*D)).mpr
have hh := mul_le_mul_of_nonneg_left hsmall hδ.le
nlinarith [mul_nonneg hδ.le hD0.le]
· obtain ⟨hθ,hδθ,hθR,hR,hE⟩ := large_rate_parameters hδ hδ1 hk hD (le_of_not_ge hsmall)
have hθ0 : 0 ≤ θ := by dsimp [θ]; positivity
have htest := M.threshold_power_bound G hμ hV hδ hs ⌊θ⌋₊ (Nat.floor_le hθ0)
exact analytic_threshold_bound hv hδ hδ1 hs hθ hδθ hθR hR hE htest
end RepeatedModel
end ThresholdParallelRepetition
end
end OAI