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Exponential Energy Decay on the Form Domain

Proved
FunctionalInequalities.Analysis.Semigroup.Generated.norm_map_apply_sq_le_exp_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the exponential energy estimate on the full form domain under the 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 set A=T†TA=T^\dagger TA=T†T. Let ρ∈R\rho\in\mathbb Rρ∈R and assume

ρ ∥Ty∥2≤∥Ay∥2for every y∈D(A).\rho\,\|Ty\|^2\le\|Ay\|^2\qquad\text{for every }y\in D(A).ρ∥Ty∥2≤∥Ay∥2for every y∈D(A).

Then for every f∈D(T)f\in D(T)f∈D(T) 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.

This extends the decay estimate from D(A)D(A)D(A) to D(T)D(T)D(T) and is the principal semigroup energy estimate in this development.

Formalization Note. The conclusion concerns the form domain D(T)D(T)D(T), while the curvature hypothesis ranges over D(A)D(A)D(A); PtP_tPt​ is Generated.apply T hT hd t.

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

Module navigation

Module: Analysis/Semigroup/Generated/Curvature.

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

Supporting theorems: norm_map_apply_sq_le_exp_of_mem_adjointComp.

Previous: norm_map_apply_sq_le_exp_of_mem_adjointComp · Next: norm_sq_sub_norm_apply_sq_le.

Source excerpt, lines 307–311 · 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_readable {ρ : ℝ}
    (hcurv : ∀ y : (adjointComp T).domain, ρ * ‖T ⟨y, y.2.2⟩‖ ^ 2 ≤ ‖adjointComp T y‖ ^ 2)
    (f : T.domain) {t : ℝ} (ht : 0 ≤ t) :
    ‖T ⟨apply T hT hd t f, preserves_form_domain T hT hd f ht⟩‖ ^ 2 ≤
      Real.exp (-2 * ρ * t) * ‖T f‖ ^ 2 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Semigroup/Generated/Curvature.lean#L306-L427 (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`; the repository is private at upload time).

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