openAI-math-dataset / lean /OAI /Probability /SKBarriers /Replicas /MatrixMultiplierGap.lean
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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Replicas.MatrixSKGuerra
import OAI.Probability.SKBarriers.Scalar.VectorMultiplier
namespace OAI
section
noncomputable section
open scoped BigOperators
open MeasureTheory ProbabilityTheory Set
namespace SK.Analytic
theorem matrixConstrainedPressure_quadratic_gap {N d r k : ℕ} (hN : 0<N)
(hr : 0<r) (β : ℝ) (D A : Fin d → Fin d → ℝ)
(hD : Nonempty (MatrixStates N d D))
(B : Fin (k+1) → Fin r → Fin d → ℝ)
(w : Fin (k+1) → ℝ) (hw : ∀ b, 0 ≤ w b) (hs : ∑ b, w b=1)
(hO : ∀ s : Config d, |matrixSiteWeight A (fun a u => spin (a u)) s|≤1) :
let V := matrixSiteVector β B (fun (a : Config d) u => spin (a u))
let O := matrixSiteWeight A (fun (a : Config d) u => spin (a u))
let f := siteValueTerminal (fun _ : Config d => 0)
let g := vectorHierarchyAverage ((k+1)*r) (siteBlockMass r k w) V f
(affineMoment (fun _ : Config d => 0) (fun s => ContinuousLinearMap.proj s) O) 0
matrixConstrainedPressure N d β D ≤
vectorHierarchy ((k+1)*r) (siteBlockMass r k w) V f 0+
(β^2/4)*(matrixSquare d D-2*matrixInner d (factorPath d r k B (Fin.last k)) D+
∑ j, w j*matrixSquare d (factorPath d r k B j))-
(g-matrixInner d A D)^2/2 := by
dsimp only
let V := matrixSiteVector β B (fun (a : Config d) u => spin (a u))
let O := matrixSiteWeight A (fun (a : Config d) u => spin (a u))
let f := siteValueTerminal (fun _ : Config d => 0)
let g := vectorHierarchyAverage ((k+1)*r) (siteBlockMass r k w) V f
(affineMoment (fun _ : Config d => 0) (fun s => ContinuousLinearMap.proj s) O) 0
let L := matrixInner d A D-g
have hm (i : Fin ((k+1)*r)) : siteBlockMass r k w i∈Icc (0:ℝ) 1 := by
refine ⟨Finset.sum_nonneg (fun b _ => ?_),?_⟩
· split_ifs; exact hw b; rfl
· calc
siteBlockMass r k w i ≤ ∑ b, w b := Finset.sum_le_sum (fun b _ => by
change (if _ then w b else 0) ≤ w b
split_ifs; rfl; exact hw b)
_ = 1 := hs
have HB := matrixConstrainedPressure_le hN hr β D (fun u t => L*A u t) hD B w hw hs
have he : matrixSiteWeight (fun u t => L*A u t) (fun (a : Config d) u => spin (a u))=
fun s => 0+L*O s := by
funext s
simp only [O,matrixSiteWeight,zero_add,Finset.mul_sum,mul_assoc]
have hi : matrixInner d (fun u t => L*A u t) D=L*matrixInner d A D := by
simp only [matrixInner,Finset.mul_sum,mul_assoc]
rw [he,hi] at HB
have HM := vectorHierarchy_bounded_multiplier ((k+1)*r) (siteBlockMass r k w) hm
V (fun _ : Config d => 0) O hO L
change _ ≤ vectorHierarchy ((k+1)*r) (siteBlockMass r k w) V f 0+L*g+L^2/2 at HM
change matrixConstrainedPressure N d β D ≤ _
dsimp only [L] at HB HM
dsimp only [V,f,g] at HB HM ⊢
nlinarith
end SK.Analytic
end
end
end OAI