OAI.DilutedSpinGlass.PrescribedTree.finiteTrial_upper_fixedField: intermediate lemma from OpenAI, The Mézard–Parisi formula for diluted spin glasses (result family 221)
ProvedOAI.DilutedSpinGlass.PrescribedTree.finiteTrial_upper_fixedFieldAn intermediate lemma of the split of OpenAI's proof of OAI.DilutedSpinGlass.mezard_parisi, carved from OpenAI's openai/math development for this platform. The statement and its proof are OpenAI's (OpenAI, The Mézard–Parisi formula for diluted spin glasses (result family 221), OpenAI Math Release, September 23, 2026, result family 221, github.com/openai/math, Apache License 2.0); in Lean it is the declaration OAI.DilutedSpinGlass.PrescribedTree.finiteTrial_upper_fixedField of lean/OAI/Probability/DilutedSpin/DilutedSpin/CavityGapFubini.lean at commit adc7f12, ported to Lean 4.33.1 and Mathlib 0df444a.
The statement, as published (namespace OAI.DilutedSpinGlass.PrescribedTree, with open _root_.MeasureTheory ProbabilityTheory KernelTower, open scoped BigOperators NNReal):
lemma finiteTrial_upper_fixedField (M : Model (q+1)) (hM : Admissible M)
(a : Λ) (r : ℕ) (Q : FiniteLaw R) (U : R → KernelTower Λ r)
(x : R → FinitePath Λ r → ℝ) (m : Fin r → ℝ) (hm : Exponents m) (h : Fin N → ℝ) :
(∫ k,∫ z : Fin k → InteractionSample (q+1),
(FiniteLaw.uniform : FiniteLaw (Fin k → Fin (q+1) → Fin N)).expect
(fun i => logPartition z h i-(N:ℝ)*Real.log 2)
∂Measure.pi (fun _ : Fin k => M.disorder.toMeasure) ∂poissonMeasure (M.alpha*N))+
(M.alpha:ℝ)*N*q*(∫ z,trialLog r (finiteTrialLaw r Q U x) m
(fun y => Real.log (edge z.1 y)) ∂M.disorder.toMeasure) ≤
∑ s : Fin N,∫ k,∫ z : Fin k → InteractionSample (q+1),
trialLog r (finiteTrialLaw r Q U x) m (siteLog z (h s))
∂Measure.pi (fun _ : Fin k => M.disorder.toMeasure) ∂poissonMeasure (M.alpha*(q+1))
Definitions. The statement is written with OAI.DilutedSpinGlass.FiniteLaw, OAI.DilutedSpinGlass.FinitePath, OAI.DilutedSpinGlass.KernelTower, OAI.DilutedSpinGlass.FiniteLaw.expect, OAI.DilutedSpinGlass.FiniteLaw.uniform and OAI.DilutedSpinGlass.PrescribedTree.finiteTrialLaw (definitions bundle OAIQ041D000 of this split); OAI.DilutedSpinGlass.Admissible, OAI.DilutedSpinGlass.Exponents, OAI.DilutedSpinGlass.Interaction, OAI.DilutedSpinGlass.InteractionSample, OAI.DilutedSpinGlass.Model, OAI.DilutedSpinGlass.Spin, OAI.DilutedSpinGlass.edge, OAI.DilutedSpinGlass.logPartition, OAI.DilutedSpinGlass.siteLog and OAI.DilutedSpinGlass.trialLog (the published bundle Def_DilutedSpin).
Used by. The proof of OAI.DilutedSpinGlass.mezard_parisi of this split imports it.
import Mathlib import Definitions.Def_DilutedSpin import Definitions.Def_OAIQ041D000
section
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false
namespace OAI
section
namespace DilutedSpinGlass.PrescribedTree
open _root_.MeasureTheory ProbabilityTheory KernelTower
open scoped BigOperators NNReal
variable {Λ R : Type} [Fintype Λ] [Fintype R]
[MeasurableSpace R] [MeasurableSingletonClass R] {N q : ℕ} [NeZero N]
lemma finiteTrial_upper_fixedField (M : Model (q+1)) (hM : Admissible M)
(a : Λ) (r : ℕ) (Q : FiniteLaw R) (U : R → KernelTower Λ r)
(x : R → FinitePath Λ r → ℝ) (m : Fin r → ℝ) (hm : Exponents m) (h : Fin N → ℝ) :
(∫ k,∫ z : Fin k → InteractionSample (q+1),
(FiniteLaw.uniform : FiniteLaw (Fin k → Fin (q+1) → Fin N)).expect
(fun i => logPartition z h i-(N:ℝ)*Real.log 2)
∂Measure.pi (fun _ : Fin k => M.disorder.toMeasure) ∂poissonMeasure (M.alpha*N))+
(M.alpha:ℝ)*N*q*(∫ z,trialLog r (finiteTrialLaw r Q U x) m
(fun y => Real.log (edge z.1 y)) ∂M.disorder.toMeasure) ≤
∑ s : Fin N,∫ k,∫ z : Fin k → InteractionSample (q+1),
trialLog r (finiteTrialLaw r Q U x) m (siteLog z (h s))
∂Measure.pi (fun _ : Fin k => M.disorder.toMeasure) ∂poissonMeasure (M.alpha*(q+1)) := by
sorry
end DilutedSpinGlass.PrescribedTree
end
end OAI
end