import Mathlib import OAI.Geometry.HyperbolicGroups.Moment import OAI.Geometry.HyperbolicGroups.Cost namespace OAI section section noncomputable section open scoped BigOperators namespace HyperbolicObstruction namespace TableModel variable {F R A : Type*} [Fintype F] [Fintype R] [Fintype A] [DecidableEq F] [DecidableEq R] [DecidableEq A] lemma powerProbability_mem {N : ℝ} (hN : 1 ≤ N) {c : ℝ} (hc : 0 ≤ c) : N ^ (-c) ∈ Set.Icc (0 : ℝ) 1 := by constructor · exact (Real.rpow_pos_of_pos (by linarith) _).le · simpa using Real.rpow_le_rpow_of_exponent_le hN (show -c ≤ 0 by linarith) lemma powerProbability_pos {N : ℝ} (hN : 1 ≤ N) (c : ℝ) : 0 < N ^ (-c) := Real.rpow_pos_of_pos (by linarith) _ omit [Fintype R] [DecidableEq R] in lemma inverse_cost_product {N : ℝ} (hN : 1 ≤ N) (c : R → ℝ) (hc : ∀ r, 0 ≤ c r) (J : Finset R) : (∏ r ∈ J, ((N ^ (-c r))⁻¹ - 1)) ≤ N ^ (∑ r ∈ J, c r) := by have hN0 : 0 < N := by linarith have he (r : R) : (N ^ (-c r))⁻¹ = N ^ (c r) := by rw [Real.rpow_neg hN0.le, inv_inv] simp_rw [he] rw [Real.rpow_sum_of_pos hN0] apply Finset.prod_le_prod₀ · intro r _ exact sub_nonneg.mpr (Real.one_le_rpow hN (hc r)) · intro r _ linarith omit [Fintype R] [DecidableEq R] in lemma cost_term_bound {N ε : ℝ} (hN : 1 ≤ N) (c : R → ℝ) (hc : ∀ r, 0 ≤ c r) (support : R → Finset F) (I : Finset F) (J : Finset R) (gap : ε ≤ ((J.biUnion support \ I).card : ℝ) - ∑ r ∈ J, c r) : N ^ (Fintype.card F - (J.biUnion support ∪ I).card) * (∏ r ∈ J, ((N ^ (-c r))⁻¹ - 1)) ≤ N ^ (Fintype.card F - I.card) * N ^ (-ε) := by have hN0 : 0 < N := by linarith have hi := Finset.card_le_univ I have hu := Finset.card_le_univ (J.biUnion support ∪ I) have hcard := Finset.card_union_add_card_inter (J.biUnion support) I have hs := Finset.card_sdiff_add_card_inter (J.biUnion support) I have he : (Fintype.card F - (J.biUnion support ∪ I).card) + (J.biUnion support \ I).card = Fintype.card F - I.card := by omega have he' : ((Fintype.card F - (J.biUnion support ∪ I).card : ℕ) : ℝ) + (J.biUnion support \ I).card = (Fintype.card F - I.card : ℕ) := by exact_mod_cast he calc _ ≤ N ^ (Fintype.card F - (J.biUnion support ∪ I).card) * N ^ (∑ r ∈ J, c r) := mul_le_mul_of_nonneg_left (inverse_cost_product hN c hc J) (by positivity) _ = N ^ (((Fintype.card F - (J.biUnion support ∪ I).card : ℕ) : ℝ) + ∑ r ∈ J, c r) := by rw [Real.rpow_add hN0, Real.rpow_natCast] _ ≤ N ^ (((Fintype.card F - I.card : ℕ) : ℝ) + -ε) := Real.rpow_le_rpow_of_exponent_le hN (by linarith) _ = _ := by rw [Real.rpow_add hN0, Real.rpow_natCast] /-- A uniform, explicit finite relative-variance bound for pinned master matches. No numerical values of the pinned letters occur in this bound. -/ theorem variance_pinned_power [Nonempty A] (support : R → Finset F) (c : R → ℝ) (hc : ∀ r, 0 ≤ c r) (I : Finset F) (ξ : F → A) {ε : ℝ} (gap : ∀ J : Finset R, J.Nonempty → ε ≤ ((J.biUnion support \ I).card : ℝ) - ∑ r ∈ J, c r) : let N : ℝ := Fintype.card A let hp := fun r => powerProbability_mem (show 1 ≤ N by change (1 : ℝ) ≤ Fintype.card A; exact_mod_cast (show 1 ≤ Fintype.card A from Fintype.card_pos)) (hc r) let μ := law support (fun r => N ^ (-c r)) hp let X := fun w => (candidateCount support (pinCandidates I ξ) w : ℝ) μ.variance X ≤ Fintype.card (Finset R) * N ^ (-ε) * μ.expect X ^ 2 := by classical dsimp only have hn : (1 : ℝ) ≤ Fintype.card A := by exact_mod_cast (show 1 ≤ Fintype.card A from Fintype.card_pos) let p (r : R) := (Fintype.card A : ℝ) ^ (-c r) let hp := fun r => powerProbability_mem hn (hc r) change (law support p hp).variance _ ≤ _ rw [variance_pinCount support p hp (fun r => powerProbability_pos hn (c r)), expect_candidateCount, card_pinCandidates] have hs : (∑ J ∈ (Finset.univ : Finset (Finset R)).erase ∅, (Fintype.card A : ℝ) ^ (Fintype.card F - (J.biUnion support ∪ I).card) * ∏ r ∈ J, ((p r)⁻¹ - 1)) ≤ Fintype.card (Finset R) * (Fintype.card A : ℝ) ^ (Fintype.card F - I.card) * (Fintype.card A : ℝ) ^ (-ε) := by calc _ ≤ ∑ _J ∈ (Finset.univ : Finset (Finset R)).erase ∅, (Fintype.card A : ℝ) ^ (Fintype.card F - I.card) * (Fintype.card A : ℝ) ^ (-ε) := by apply Finset.sum_le_sum intro J hJ exact cost_term_bound hn c hc support I J (gap J (Finset.nonempty_iff_ne_empty.mpr (Finset.mem_erase.mp hJ).1)) _ ≤ ∑ _J : Finset R, (Fintype.card A : ℝ) ^ (Fintype.card F - I.card) * (Fintype.card A : ℝ) ^ (-ε) := Finset.sum_le_sum_of_subset_of_nonneg (Finset.erase_subset _ _) (fun _ _ _ => by positivity) _ = _ := by simp; ring calc _ ≤ (∏ r, p r) ^ 2 * (Fintype.card A : ℝ) ^ (Fintype.card F - I.card) * (Fintype.card (Finset R) * (Fintype.card A : ℝ) ^ (Fintype.card F - I.card) * (Fintype.card A : ℝ) ^ (-ε)) := mul_le_mul_of_nonneg_left hs (by positivity) _ = _ := by dsimp [p]; ring end TableModel namespace IncidenceTemplate /-- Source single-copy concentration, also for every singleton-pinned count, with a common actual-parameter half-unit margin. -/ theorem master_variance_bound {A : Type*} [Fintype A] [Nonempty A] [DecidableEq A] {α β δ : ℝ} (ha : 0 ≤ α) (hb : 7 * α ≤ β) (hd : 0 ≤ δ) (hsmall : β + 90 * δ ≤ 1 / 2) (I : Finset Field) (hI : I.card ≤ 1) (ξ : Field → A) : let N : ℝ := Fintype.card A let c := actualRowCost α β δ let hp := fun r => TableModel.powerProbability_mem (show 1 ≤ N by change (1 : ℝ) ≤ Fintype.card A; exact_mod_cast (show 1 ≤ Fintype.card A from Fintype.card_pos)) (actualRowCost_nonneg ha hb hd r) let μ := TableModel.law rowSupport (fun r => N ^ (-c r)) hp let X := fun w => (TableModel.candidateCount rowSupport (TableModel.pinCandidates I ξ) w : ℝ) μ.variance X ≤ Fintype.card (Finset Row) * N ^ (-(1 / 2 : ℝ)) * μ.expect X ^ 2 := by apply TableModel.variance_pinned_power rowSupport (actualRowCost α β δ) (actualRowCost_nonneg ha hb hd) I ξ intro J hJ have hh := actual_pinned_overlap ha hb hd hJ I hI linarith end IncidenceTemplate end HyperbolicObstruction end end section end end end OAI