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Exponential Energy Decay on the Operator Domain

Proved
FunctionalInequalities.Analysis.Semigroup.Generated.norm_map_apply_sq_le_exp_of_mem_adjointComp_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the exponential energy estimate under an integrated curvature bound.

Let H0,H1H_0,H_1H0​,H1​ be real complete inner-product spaces, let T:H0→H1T:H_0\to H_1T:H0​→H1​ be closed with dense domain, and put A=T†TA=T^\dagger TA=T†T. Let ρ∈R\rho\in\mathbb Rρ∈R and assume that for every y∈D(A)y\in D(A)y∈D(A),

ρ ∥Ty∥2≤∥Ay∥2.\rho\,\|Ty\|^2\le \|Ay\|^2.ρ∥Ty∥2≤∥Ay∥2.

Then for every f∈D(A)f\in D(A)f∈D(A) and every t≥0t\ge0t≥0,

∥T(Ptf)∥2≤e−2ρt ∥Tf∥2,\|T(P_t f)\|^2\le e^{-2\rho t}\,\|Tf\|^2,∥T(Pt​f)∥2≤e−2ρt∥Tf∥2,

where PtP_tPt​ is Generated.apply T hT hd t.

This is the domain-level energy-decay estimate from which the estimate on the whole form domain is obtained.

Formalization Note. The parameter ρ\rhoρ is only assumed real; no positivity hypothesis on ρ\rhoρ appears in the type.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis.Semigroup.Generated. Shown in its original module context. Proof omitted.

theorem norm_map_apply_sq_le_exp_of_mem_adjointComp {ρ : ℝ}
    (hcurv : ∀ y : (adjointComp T).domain, ρ * ‖T ⟨y, y.2.2⟩‖ ^ 2 ≤ ‖adjointComp T y‖ ^ 2)
    (f : (adjointComp T).domain) {t : ℝ} (ht : 0 ≤ t) :
    ‖T ⟨apply T hT hd t f, (preserves_domain T hT hd f ht).2⟩‖ ^ 2 ≤
      Real.exp (-2 * ρ * t) * ‖T ⟨f, f.2.2⟩‖ ^ 2

Module navigation

Module: Analysis/Semigroup/Generated/Curvature.

Definition modules: Analysis/Semigroup/AdjointComp, Analysis/Semigroup/Generated/Domain, Analysis/Semigroup/Generated/Basic.

Supporting theorems: continuousOn, hasDerivAt_inner_apply, le_exp_mul_of_hasDerivAt_le, norm_map_apply_sq_eq_inner.

Previous: le_exp_mul_of_hasDerivAt_le · Next: norm_map_apply_sq_le_exp.

Source excerpt, lines 226–230 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Semigroup_Generated_Curvature

variable {H₀ H₁ : Type*} [NormedAddCommGroup H₀] [InnerProductSpace ℝ H₀] [CompleteSpace H₀]
  [NormedAddCommGroup H₁] [InnerProductSpace ℝ H₁] [CompleteSpace H₁]
  (T : H₀ →ₗ.[ℝ] H₁) (hT : T.IsClosed) (hd : Dense (T.domain : Set H₀))
Formal statement

theorem FunctionalInequalities.Analysis.Semigroup.Generated.norm_map_apply_sq_le_exp_of_mem_adjointComp_readable {ρ : ℝ}
    (hcurv : ∀ y : (adjointComp T).domain, ρ * ‖T ⟨y, y.2.2⟩‖ ^ 2 ≤ ‖adjointComp T y‖ ^ 2)
    (f : (adjointComp T).domain) {t : ℝ} (ht : 0 ≤ t) :
    ‖T ⟨apply T hT hd t f, (preserves_domain T hT hd f ht).2⟩‖ ^ 2 ≤
      Real.exp (-2 * ρ * t) * ‖T ⟨f, f.2.2⟩‖ ^ 2 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Semigroup/Generated/Curvature.lean#L225-L304 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Semigroup.Generated.Curvature`, declaration `FunctionalInequalities.Analysis.Semigroup.Generated.norm_map_apply_sq_le_exp_of_mem_adjointComp`; the repository is private at upload time).

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