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Add lean source and binary files (part 68)
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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