import OAI.Combinatorics.ExpectationThreshold.SelectorEntropyDyadic import Mathlib.Data.Nat.Choose.Bounds import Mathlib.Analysis.Complex.Exponential import Mathlib.Tactic.NormNum import Mathlib.Tactic.Ring namespace OAI /-! # The selector's finite entropy estimate After scaling row `i` by `4^(i+1)`, its binomial coefficient is bounded by one term of the exponential series at `T * 2^(-(i+1))`. The sum of these arguments is at most `T`, so their product is at most `exp T ≤ 3^T`. This proves the row-count estimate directly, including rows of count zero. -/ namespace TalagrandThreshold open scoped BigOperators /-- A finite series and its explicit remainder already give the needed slack. -/ private theorem selector_exp_one_le_three : Real.exp 1 ≤ 3 := by have h := Real.exp_bound' (x := (1 : ℝ)) (n := 3) (by norm_num) (by norm_num) (by norm_num) exact h.trans (by norm_num [Finset.sum_range_succ]) /-- A scaled binomial coefficient is bounded by an exponential-series term. -/ theorem selector_choose_le_scaled_exp (m t : ℕ) (d y : ℝ) (hd : 0 ≤ d) (hy : 0 ≤ y) (hm : (m : ℝ) ≤ d * y) : (m.choose t : ℝ) ≤ d ^ t * Real.exp y := by calc (m.choose t : ℝ) ≤ (m : ℝ) ^ t / (t.factorial : ℝ) := Nat.choose_le_pow_div t m _ ≤ (d * y) ^ t / (t.factorial : ℝ) := div_le_div_of_nonneg_right (pow_le_pow_left₀ (Nat.cast_nonneg m) hm t) (Nat.cast_nonneg _) _ = d ^ t * (y ^ t / (t.factorial : ℝ)) := by rw [mul_pow]; ring _ ≤ d ^ t * Real.exp y := mul_le_mul_of_nonneg_left (Real.pow_div_factorial_le_exp y hy t) (pow_nonneg hd t) /-- The actual finite entropy bound for the selector's row sizes and counts. The statement also permits total count zero. -/ theorem selector_entropy_bound (s : ℕ) (m t : Fin s → ℕ) (hm : ∀ i, m i ≤ 2 ^ (i.val + 1) * (∑ j, t j)) : (∏ i, ((m i).choose (t i) : ℝ)) ≤ ∏ i, (3 * 4 ^ (i.val + 1) : ℝ) ^ (t i) := by let T : ℕ := ∑ i, t i have hT : (0 : ℝ) ≤ T := Nat.cast_nonneg T have hrow (i : Fin s) : ((m i).choose (t i) : ℝ) ≤ ((4 : ℝ) ^ (i.val + 1)) ^ (t i) * Real.exp ((T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) := by have hbound : (m i : ℝ) ≤ (2 : ℝ) ^ (i.val + 1) * (T : ℝ) := by have hnat : m i ≤ 2 ^ (i.val + 1) * T := hm i exact_mod_cast hnat have hscale : (4 : ℝ) ^ (i.val + 1) * ((T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) = (2 : ℝ) ^ (i.val + 1) * (T : ℝ) := by calc (4 : ℝ) ^ (i.val + 1) * ((T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) = ((4 : ℝ) * (1 / 2 : ℝ)) ^ (i.val + 1) * (T : ℝ) := by rw [mul_pow] ring _ = (2 : ℝ) ^ (i.val + 1) * (T : ℝ) := by norm_num apply selector_choose_le_scaled_exp (m i) (t i) ((4 : ℝ) ^ (i.val + 1)) ((T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) · exact pow_nonneg (by norm_num) _ · exact mul_nonneg hT (pow_nonneg (by norm_num) _) · rw [hscale] exact hbound have hsum : (∑ i : Fin s, (T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) ≤ (T : ℝ) := by rw [← Finset.mul_sum] exact mul_le_of_le_one_right hT (selector_dyadic_sum_le_one s) have hexp : Real.exp (T : ℝ) ≤ (3 : ℝ) ^ T := by calc Real.exp (T : ℝ) = Real.exp 1 ^ T := by simpa only [mul_one] using Real.exp_nat_mul 1 T _ ≤ (3 : ℝ) ^ T := pow_le_pow_left₀ (Real.exp_pos 1).le selector_exp_one_le_three T have hprod : (0 : ℝ) ≤ ∏ i : Fin s, ((4 : ℝ) ^ (i.val + 1)) ^ (t i) := Finset.prod_nonneg (fun i _ => pow_nonneg (pow_nonneg (by norm_num) _) _) have hfactor : (∏ i, (3 * 4 ^ (i.val + 1) : ℝ) ^ (t i)) = (∏ i, ((4 : ℝ) ^ (i.val + 1)) ^ (t i)) * (3 : ℝ) ^ T := by simp only [mul_pow, Finset.prod_mul_distrib, Finset.prod_pow_eq_pow_sum] exact mul_comm _ _ calc (∏ i, ((m i).choose (t i) : ℝ)) ≤ ∏ i, (((4 : ℝ) ^ (i.val + 1)) ^ (t i) * Real.exp ((T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1))) := Finset.prod_le_prod₀ (fun i _ => Nat.cast_nonneg _) (fun i _ => hrow i) _ = (∏ i, ((4 : ℝ) ^ (i.val + 1)) ^ (t i)) * Real.exp (∑ i : Fin s, (T : ℝ) * (1 / 2 : ℝ) ^ (i.val + 1)) := by rw [Finset.prod_mul_distrib, ← Real.exp_sum] _ ≤ (∏ i, ((4 : ℝ) ^ (i.val + 1)) ^ (t i)) * Real.exp (T : ℝ) := mul_le_mul_of_nonneg_left (Real.exp_le_exp_of_le hsum) hprod _ ≤ (∏ i, ((4 : ℝ) ^ (i.val + 1)) ^ (t i)) * (3 : ℝ) ^ T := mul_le_mul_of_nonneg_left hexp hprod _ = ∏ i, (3 * 4 ^ (i.val + 1) : ℝ) ^ (t i) := hfactor.symm end TalagrandThreshold end OAI