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Add lean source and binary files (part 41)
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import OAI.Combinatorics.ContingencyTables.Dense.GridMinCut
import OAI.Combinatorics.ContingencyTables.Dense.GridCutFlow
import OAI.Combinatorics.ContingencyTables.Dense.GridMetropolis
namespace OAI
/-!
# Conditional Poincaré bound for the actual dense bin chain
Both published inputs are explicit: finite-box Prékopa interpolation and
finite-chain Cheeger. All margin, penalty, cut, and proposal obligations
for this chain follow from the dense completion geometry.
-/
namespace ContingencyTables.GridBoundary
open CommonBasesFPRAS
open scoped BigOperators Classical
noncomputable section
variable {I J : Type*} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
variable {q K : ℕ}
def denseBinWeight (R : Option I → ℕ) (P : Option J → ℕ) (d : ℕ)
(e : I × J ≃ Fin q) (a : Grid (I := Fin q) K) : ℝ :=
DenseWeights.binWeight ((d : ℝ) ^ 4) (denseGridPenalty R P d e) (realCorner a)
def denseBinChain (R : Option I → ℕ) (P : Option J → ℕ)
(d : ℕ) (hd : 14 ≤ d) (hfree : Fintype.card (I × J) ≤ d)
(e : I × J ≃ Fin q) (hK : 1 ≤ K) : FiniteChain (Grid (I := Fin q) K) := by
have hq : q ≤ d := by
have hc := Fintype.card_congr e
rw [Fintype.card_fin] at hc
omega
exact gridChain d hd hq hK (denseBinWeight R P d e) (fun a => DenseWeights.binWeight_pos _ _ _)
def denseCutConstant (d K : ℕ) : ℝ := binProposal d / (128 * (d : ℝ) * K)
private theorem corner_injective : Function.Injective (corner (I := Fin q) (K := K)) := by
intro a b h
funext j
apply Subtype.ext
exact congrFun h j
theorem denseBinChain_poincare (R : Option I → ℕ) (P : Option J → ℕ)
(d : ℕ) (hd : 14 ≤ d) (hR : ∀ i, d ^ 12 ≤ R i) (hP : ∀ j, d ^ 12 ≤ P j)
(hRmax : ∀ i, R (some i) ≤ R none) (hPmax : ∀ j, P (some j) ≤ P none)
(hfree : Fintype.card (I × J) ≤ d) (e : I × J ≃ Fin q) (hK : 1 ≤ K)
(hPL : PublishedInputs.FiniteBoxPrekopaLeindler q)
(hCheeger : PublishedInputs.FiniteCheeger (Grid (I := Fin q) K)) :
∀ f : Grid (I := Fin q) K → ℝ,
(denseBinChain R P d hd hfree e hK).variance f ≤
(2 / (denseCutConstant d K) ^ 2) * (denseBinChain R P d hd hfree e hK).energy f := by
classical
let : DecidableEq (Grid (I := Fin q) K) := Classical.decEq _
let : Nonempty (Grid (I := Fin q) K) := ⟨fun _ => ⟨0, by constructor <;> omega⟩⟩
let w := denseBinWeight R P d e (K := K)
have hw : ∀ a, 0 < w a := fun a => DenseWeights.binWeight_pos _ _ _
have hq : q ≤ d := by
have hc := Fintype.card_congr e
rw [Fintype.card_fin] at hc
omega
have hd₀ : (0 : ℝ) < d := by exact_mod_cast (show 0 < d by omega)
have hK₀ : (0 : ℝ) < K := by exact_mod_cast (show 0 < K by omega)
have hβ := (binProposal_bounds d hd).1
have hκ : 0 < denseCutConstant d K := by unfold denseCutConstant; positivity
apply MetropolisChain.poincare_of_weighted_cut w hw Neighbor neighbor_symm (binProposal d) hβ.le
(2 * q) (fun a => by simpa using neighbor_degree a)
((binProposal_degree q d hd hq).trans (by norm_num)) hCheeger (denseCutConstant d K) hκ
intro S
change denseCutConstant d K * min (∑ a ∈ S, w a) (∑ a ∈ Sᶜ, w a) ≤
binProposal d * (∑ a ∈ S, ∑ b ∈ Sᶜ, if Neighbor a b then min (w a) (w b) else 0)
have hSw : 0 ≤ ∑ a ∈ S, w a := Finset.sum_nonneg (fun a _ => (hw a).le)
have hScw : 0 ≤ ∑ a ∈ Sᶜ, w a := Finset.sum_nonneg (fun a _ => (hw a).le)
by_cases hs : S.Nonempty
· by_cases hsc : Sᶜ.Nonempty
· let Q : (Fin q → ℤ) → Prop := fun z => ∃ a ∈ S, corner a = z
have hQ (a : Grid (I := Fin q) K) : Q (corner a) ↔ a ∈ S := by
constructor
· rintro ⟨b, hb, he⟩
exact corner_injective he ▸ hb
· intro ha
exact ⟨a, ha, rfl⟩
have hne : Nonempty (Selected K Q) := by
obtain ⟨a, ha⟩ := hs
exact ⟨⟨a, (hQ a).mpr ha⟩⟩
have hne' : Nonempty (Selected K (fun a => ¬ Q a)) := by
obtain ⟨a, ha⟩ := hsc
exact ⟨⟨a, fun h => (Finset.mem_compl.mp ha) ((hQ a).mp h)⟩⟩
have hdense := denseGrid_min_cut R P d hd hR hP hRmax hPmax hfree e hPL hK Q hne hne'
change (1 / (128 * (d : ℝ) * K)) *
min (∑ a : Selected K Q, w a.val) (∑ a : Selected K (fun a => ¬ Q a), w a.val) ≤
∑ edge : CutEdge K Q, min (w edge.val.1) (w edge.val.2.1) at hdense
have hsum : (∑ a : Selected K Q, w a.val) = ∑ a ∈ S, w a := by
rw [selected_sum_eq_filter Q w]
apply Finset.sum_congr ?_ (fun _ _ => rfl)
ext a
simp only [Finset.mem_filter, Finset.mem_univ, true_and, hQ]
have hsum' : (∑ a : Selected K (fun a => ¬ Q a), w a.val) = ∑ a ∈ Sᶜ, w a := by
rw [selected_sum_eq_filter (fun a => ¬ Q a) w]
apply Finset.sum_congr ?_ (fun _ _ => rfl)
ext a
simp only [Finset.mem_filter, Finset.mem_univ, true_and, hQ, Finset.mem_compl]
rw [hsum, hsum'] at hdense
have hflow := cut_faces_le_neighbor_flow Q w (fun a => (hw a).le)
have hflow' : (∑ edge : CutEdge K Q, min (w edge.val.1) (w edge.val.2.1)) ≤
∑ a ∈ S, ∑ b ∈ Sᶜ, if Neighbor a b then min (w a) (w b) else 0 := by
convert hflow using 1
apply Finset.sum_congr ?_ ?_
· ext a
simp only [Finset.mem_filter, Finset.mem_univ, true_and, hQ]
· intro a _
apply Finset.sum_congr ?_ (fun _ _ => rfl)
ext b
simp only [Finset.mem_filter, Finset.mem_univ, true_and, hQ, Finset.mem_compl]
have hbound := hdense.trans hflow'
calc
_ = binProposal d * ((1 / (128 * (d : ℝ) * K)) *
min (∑ a ∈ S, w a) (∑ a ∈ Sᶜ, w a)) := by unfold denseCutConstant; ring
_ ≤ _ := mul_le_mul_of_nonneg_left hbound hβ.le
· have he : Sᶜ = ∅ := Finset.not_nonempty_iff_eq_empty.mp hsc
rw [he]
simp only [Finset.sum_empty, min_eq_right hSw, mul_zero, Finset.sum_const_zero]
exact le_rfl
· have he : S = ∅ := Finset.not_nonempty_iff_eq_empty.mp hs
rw [he] at hScw ⊢
simp only [Finset.sum_empty, min_eq_left hScw, mul_zero]
exact le_rfl
end
end ContingencyTables.GridBoundary
end OAI