Operator-Domain Bounds from a Kernel-Complement Gap
ProvedFunctionalInequalities.Analysis.Semigroup.Generated.norm_le_of_gap_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is the norm and energy estimate obtained from a gap inequality.
Let be real Hilbert spaces, let be a linear partial map with dense domain, and let . Fix . Assume that every orthogonal to satisfies
For every orthogonal to , the conclusion is
The statement includes the case of arbitrary real ; no positivity assumption on 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).