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Operator-Domain Bounds from a Kernel-Complement Gap

Proved
FunctionalInequalities.Analysis.Semigroup.Generated.norm_le_of_gap_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the norm and energy estimate obtained from a gap inequality.

Let H0,H1H_0,H_1H0​,H1​ be real Hilbert spaces, let T:H0→H1T:H_0\to H_1T:H0​→H1​ be a linear partial map with dense domain, and let A=T†TA=T^\dagger TA=T†T. Fix C∈RC\in\mathbb{R}C∈R. Assume that every y∈D(T)y\in D(T)y∈D(T) orthogonal to ker⁡T\ker TkerT satisfies

∥y∥2≤C∥Ty∥2.\|y\|^2\le C\|Ty\|^2.∥y∥2≤C∥Ty∥2.

For every u∈D(A)u\in D(A)u∈D(A) orthogonal to ker⁡T\ker TkerT, the conclusion is

∥u∥≤C∥Au∥,\|u\|\le C\|Au\|,∥u∥≤C∥Au∥, ∥Tu∥2=⟨Au,u⟩,\|Tu\|^2=\langle Au,u\rangle,∥Tu∥2=⟨Au,u⟩, ⟨Au,u⟩≤C∥Au∥2.\langle Au,u\rangle\le C\|Au\|^2.⟨Au,u⟩≤C∥Au∥2.

The statement includes the case of arbitrary real CCC; no positivity assumption on CCC appears in the type.

Original Lean declaration header

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

theorem norm_le_of_gap {C : ℝ}
    (hgap : ∀ y : T.domain, (∀ k : T.domain, T k = 0 → ⟪(y : H₀), (k : H₀)⟫ = 0) →
      ‖(y : H₀)‖ ^ 2 ≤ C * ‖T y‖ ^ 2)
    (u : (adjointComp T).domain)
    (hu : ∀ k : T.domain, T k = 0 → ⟪(u : H₀), (k : H₀)⟫ = 0) :
    ‖(u : H₀)‖ ≤ C * ‖adjointComp T u‖ ∧
      ‖T ⟨(u : H₀), u.2.2⟩‖ ^ 2 = ⟪adjointComp T u, (u : H₀)⟫ ∧
      ⟪adjointComp T u, (u : H₀)⟫ ≤ C * ‖adjointComp T u‖ ^ 2

Module navigation

Module: Analysis/Semigroup/Generated/Inverse.

Definition modules: Analysis/Semigroup/AdjointComp.

Next: exists_adjointComp_eq_of_gap.

Source excerpt, lines 27–34 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Semigroup_Generated_Inverse

open scoped InnerProductSpace RealInnerProductSpace
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))
omit [CompleteSpace H₁]
include hd
Formal statement

theorem FunctionalInequalities.Analysis.Semigroup.Generated.norm_le_of_gap_readable {C : ℝ}
    (hgap : ∀ y : T.domain, (∀ k : T.domain, T k = 0 → ⟪(y : H₀), (k : H₀)⟫ = 0) →
      ‖(y : H₀)‖ ^ 2 ≤ C * ‖T y‖ ^ 2)
    (u : (adjointComp T).domain)
    (hu : ∀ k : T.domain, T k = 0 → ⟪(u : H₀), (k : H₀)⟫ = 0) :
    ‖(u : H₀)‖ ≤ C * ‖adjointComp T u‖ ∧
      ‖T ⟨(u : H₀), u.2.2⟩‖ ^ 2 = ⟪adjointComp T u, (u : H₀)⟫ ∧
      ⟪adjointComp T u, (u : H₀)⟫ ≤ C * ‖adjointComp T u‖ ^ 2 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Semigroup/Generated/Inverse.lean#L23-L104 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Semigroup.Generated.Inverse`, declaration `FunctionalInequalities.Analysis.Semigroup.Generated.norm_le_of_gap`; the repository is private at upload time).

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