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Yosida approximation of an adjoint product

Definition
KLSModular_FunctionalInequalities_Analysis_Semigroup_Yosida_Approximation

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

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-context

For a closed operator T:H0→H1T:H_0\to H_1T:H0​→H1​ and s>0s>0s>0, yosida T hT hs is the bounded operator Ls=s−1(I−Js)L_s=s^{-1}(I-J_s)Ls​=s−1(I−Js​), where JsJ_sJs​ is the resolvent. yosida_apply gives the pointwise formula Lsf=s−1(f−Jsf)L_sf=s^{-1}(f-J_sf)Ls​f=s−1(f−Js​f). No nonnegativity, symmetry, convergence, or identification with T†TJsT^\dagger T J_sT†TJs​ is asserted in this bundle.

Original module imports

import FunctionalInequalities.Analysis.Semigroup.Resolvent.Basic

Original declaration excerpt

Shown in the original module context.

def yosida (T : H₀ →ₗ.[ℝ] H₁) (hT : T.IsClosed) {s : ℝ} (hs : 0 < s) : H₀ →L[ℝ] H₀ :=
  s⁻¹ • (ContinuousLinearMap.id ℝ H₀ - resolventCLM T hT hs)

Module navigation

Direct project imports: Analysis/Semigroup/Resolvent/Basic.

Project result: The KLS conjecture.

Original module · FunctionalInequalities.Analysis.Semigroup.Yosida.Approximation · Frozen source 408915f.

Definition code
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Semigroup_Resolvent_Basic

noncomputable section
namespace FunctionalInequalities
namespace Analysis
namespace Semigroup
variable {H₀ H₁ : Type*} [NormedAddCommGroup H₀] [InnerProductSpace ℝ H₀] [CompleteSpace H₀]
  [NormedAddCommGroup H₁] [InnerProductSpace ℝ H₁] [CompleteSpace H₁]
/-- The Yosida approximation `L_s = s⁻¹ • (1 - J_s)` of `T†T`, a bounded operator on `H₀`. -/
def yosida (T : H₀ →ₗ.[ℝ] H₁) (hT : T.IsClosed) {s : ℝ} (hs : 0 < s) : H₀ →L[ℝ] H₀ :=
  s⁻¹ • (ContinuousLinearMap.id ℝ H₀ - resolventCLM T hT hs)
/-- `L_s f = s⁻¹ • (f - J_s f)`. -/
theorem yosida_apply (T : H₀ →ₗ.[ℝ] H₁) (hT : T.IsClosed) {s : ℝ} (hs : 0 < s) (f : H₀) :
    yosida T hT hs f = s⁻¹ • (f - resolventCLM T hT hs f) := by
  simp [yosida]
end Semigroup
end Analysis
end FunctionalInequalities
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Semigroup/Yosida/Approximation.lean#L25-L32 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Semigroup.Yosida.Approximation`, definition bundle `KLSModular_FunctionalInequalities_Analysis_Semigroup_Yosida_Approximation`; the repository is private at upload time).

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