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Step-function simple predictable integrands

Definition
KLSModular_LevyStochCalc_Brownian_ItoAlgebraAssociativity

by Lazyfill · Oct 25, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-contextvendored-levystochcalc

Vendored from the LevyStochCalc library at https://github.com/cgarryZA/LevyStochCalc, commit 984dbf0b790031eac05d56fe5a84b65e15e1e932. For a measurable sample space Ω\OmegaΩ, stepIoc Ω ha hab is the simple predictable integrand with partition 0<a<b0<a<b0<a<b and coefficient 111 on the tile (a,b](a,b](a,b], while stepIoc₀ Ω hb is the corresponding integrand on the single tile (0,b](0,b](0,b] for 0<b0<b0<b.

Original module imports

import LevyStochCalc.Brownian.ItoAlgebraProduct

Original declaration excerpt

Shown in the original module context. Body omitted.

noncomputable def stepIoc (Ω) [MeasurableSpace Ω] {a b : ℝ} (ha : 0 < a) (hab : a < b) :
    SimplePredictable Ω b

Module navigation

Direct project imports: LevyStochCalc/Brownian/ItoAlgebraProduct.

Theorems in source order:

  • stochasticIntegralBrownian_integralAgainst
  • stepIoc_eval
  • stepIoc₀_eval
  • stochasticIntegralBrownian_indicator_Ioc

Project result: The KLS conjecture.

Original module · LevyStochCalc.Brownian.ItoAlgebraAssociativity · Frozen source 408915f.

Definition code
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoAlgebraProduct

/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Modified 2026-10-12 by the KLS formalization project: ported to Lean v4.33.0 and
-- Mathlib db584cd. The changes are listed in vendor/README.md and vendor/port.patch.
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Brownian/ItoAlgebraAssociativity.lean; Apache-2.0; locally patched, see formalization/vendor/port.patch; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
namespace LevyStochCalc
namespace Brownian
namespace Ito
open MeasureTheory
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω]
/-- The simple integrand `1_{(a, b]}`, for `0 < a < b`. -/
noncomputable def stepIoc (Ω) [MeasurableSpace Ω] {a b : ℝ} (ha : 0 < a) (hab : a < b) :
    SimplePredictable Ω b where
  N := 2
  partition := ![0, a, b]
  partition_zero := by simp
  partition_le_T := by simp
  partition_strictMono := by
    refine Fin.strictMono_iff_lt_succ.mpr fun i => ?_
    fin_cases i
    · simpa using ha
    · simpa using hab
  ξ := ![fun _ => 0, fun _ => 1]
  ξ_bounded := by intro i; fin_cases i <;> exact ⟨1, fun ω => by norm_num⟩
  ξ_measurable := by intro i; fin_cases i <;> exact measurable_const
/-- The simple integrand `1_{(0, b]}`, for `0 < b`. -/
noncomputable def stepIoc₀ (Ω) [MeasurableSpace Ω] {b : ℝ} (hb : 0 < b) :
    SimplePredictable Ω b where
  N := 1
  partition := ![0, b]
  partition_zero := by simp
  partition_le_T := by simp
  partition_strictMono := by
    refine Fin.strictMono_iff_lt_succ.mpr fun i => ?_
    fin_cases i
    simpa using hb
  ξ := ![fun _ => 1]
  ξ_bounded := by intro i; fin_cases i; exact ⟨1, fun ω => by norm_num⟩
  ξ_measurable := by intro i; fin_cases i; exact measurable_const
end Ito
end Brownian
end LevyStochCalc
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Brownian/ItoAlgebraAssociativity.lean (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Brownian.ItoAlgebraAssociativity`, definition bundle `KLSModular_LevyStochCalc_Brownian_ItoAlgebraAssociativity`; the repository is private at upload time); vendored copy patched by formalization/vendor/port.patch (project file formalization/vendor/LevyStochCalc/LevyStochCalc/Brownian/ItoAlgebraAssociativity.lean, lines 273-302). Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (Apache-2.0; upstream copyright notice retained in the Lean text).

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