OAI.SKValue.IsDiffusion.curvature_integral_terminal: intermediate lemma from OpenAI, QAOA attains the SK ground-state energy in the thermodynamic-first limit
ProvedOAI.SKValue.IsDiffusion.curvature_integral_terminalAn intermediate lemma of the split of OpenAI's proof of OAI.SKValue.value_consequences, carved from OpenAI's openai/math development for this platform. The statement and its proof are OpenAI's (OpenAI, QAOA attains the SK ground-state energy in the thermodynamic-first limit, OpenAI Math Release, September 25, 2026, result family 281, github.com/openai/math, Apache License 2.0); in Lean it is the declaration OAI.SKValue.IsDiffusion.curvature_integral_terminal of lean/OAI/Probability/SKValue/SKValue/Control/StripRegularity.lean at commit adc7f12, ported to Lean 4.33.1 and Mathlib 0df444a.
The statement, as published (namespace OAI.SKValue, with open MeasureTheory ProbabilityTheory Set, open scoped ENNReal NNReal BigOperators, open MeasureTheory ProbabilityTheory Filter Set, open scoped BigOperators Topology, open MeasureTheory ProbabilityTheory Set Filter, open scoped Topology BigOperators, open MeasureTheory ProbabilityTheory Set Filter, open scoped Topology ENNReal NNReal, open Filter Set, open scoped Topology BigOperators, open MeasureTheory ProbabilityTheory Filter Set, open scoped Topology, open MeasureTheory Set Filter, open scoped Topology BigOperators, open MeasureTheory Set Filter Finset, open scoped Topology BigOperators, open MeasureTheory ProbabilityTheory Filter Set, open scoped Topology NNReal):
lemma IsDiffusion.curvature_integral_terminal {W : BrownianSpace} {γ : OrderParameter}
{X : ℝ → W.Ω → ℝ} (hX : IsDiffusion W γ X) (hreg : SourceStripRegularity W γ)
(hm : UnitMomentMartingale (μ := W.μ) W.realFiltration (fun t ω ↦ gradient W γ t (X t ω)))
{U : W.Ω → ℝ} (hUm : StronglyMeasurable[W.realFiltration 1] U)
(hU : ∀ᵐ ω ∂W.μ, |U ω|≤1 ∧
Tendsto (fun n ↦ gradient W γ (terminalTime n) (X (terminalTime n) ω)) atTop (𝓝 (U ω))) :
Tendsto (fun T ↦ ∫ t in (0 : ℝ)..T, ∫ ω, curvature W γ t (X t ω) ∂W.μ)
(𝓝[<] (1 : ℝ)) (𝓝 (∫ ω, U ω*W.B 1 ω ∂W.μ))
Definitions. The statement is written with OAI.SKValue.SourceStripRegularity, OAI.SKValue.UnitMomentMartingale, OAI.SKValue.terminalTime and OAI.SKValue.BrownianSpace.realFiltration (definitions bundle OAIQ4Sk000 of this split); OAI.SKValue.BrownianSpace, OAI.SKValue.IsDiffusion, OAI.SKValue.OrderParameter, OAI.SKValue.curvature and OAI.SKValue.gradient (the published bundle Def_SKValue).
Used by. The proof of OAI.SKValue.IsDiffusion.parisi_value_assembly of this split imports it.
import Mathlib import Definitions.Def_SKValue import Definitions.Def_OAIQ4Sk000
section
attribute [-instance] _root_.OAI.SKValueG.expOneNoAtoms _root_.OAI.SKValueG.expOneProbability
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false
namespace OAI
section
open MeasureTheory ProbabilityTheory Set
open scoped ENNReal NNReal BigOperators
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology
open MeasureTheory ProbabilityTheory Set Filter
open scoped Topology BigOperators
open MeasureTheory ProbabilityTheory Set Filter
open scoped Topology ENNReal NNReal
open Filter Set
open scoped Topology BigOperators
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology
open MeasureTheory Set Filter
open scoped Topology BigOperators
open MeasureTheory Set Filter Finset
open scoped Topology BigOperators
namespace SKValue
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal
lemma IsDiffusion.curvature_integral_terminal {W : BrownianSpace} {γ : OrderParameter}
{X : ℝ → W.Ω → ℝ} (hX : IsDiffusion W γ X) (hreg : SourceStripRegularity W γ)
(hm : UnitMomentMartingale (μ := W.μ) W.realFiltration (fun t ω ↦ gradient W γ t (X t ω)))
{U : W.Ω → ℝ} (hUm : StronglyMeasurable[W.realFiltration 1] U)
(hU : ∀ᵐ ω ∂W.μ, |U ω|≤1 ∧
Tendsto (fun n ↦ gradient W γ (terminalTime n) (X (terminalTime n) ω)) atTop (𝓝 (U ω))) :
Tendsto (fun T ↦ ∫ t in (0 : ℝ)..T, ∫ ω, curvature W γ t (X t ω) ∂W.μ)
(𝓝[<] (1 : ℝ)) (𝓝 (∫ ω, U ω*W.B 1 ω ∂W.μ)) := by
sorry
end SKValue
end
end OAI
end