Centering Does Not Change Pairings With Mean-Zero Classes
ProvedFunctionalInequalities.KLS.LogConcave.inner_center_left_of_mean_zero_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This theorem is a Hilbert-space identity for centered classes.
Let be any probability measure on a measurable space, and let with
Then
The left-hand side is L2.center ν F, and the constant class is L2.const. This elementary identity is useful when replacing a function by its centered version in variational estimates.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave. Shown in its original module context. Proof omitted.
theorem inner_center_left_of_mean_zero
(ν : ProbabilityMeasure α) (F w : Lp ℝ 2 (ν : Measure α))
(hw : FunctionalInequalities.L2.mean ν w = 0) :
⟪FunctionalInequalities.L2.center ν F, w⟫ = ⟪F, w⟫
Module navigation
Module: KLS/LogConcave/BrascampLieb.
Definition modules: L2/MeanVariance.
Previous: norm_sq_le_of_mem_closure_quadratic_bound · Next: compact_pairing_identity.
Source excerpt, lines 77–80 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_BrascampLieb
open MeasureTheory Filter Topology Set InnerProductSpace
open scoped ContDiff RealInnerProductSpace
variable {α : Type*} [MeasurableSpace α]
Formal statement
theorem FunctionalInequalities.KLS.LogConcave.inner_center_left_of_mean_zero_readable
(ν : ProbabilityMeasure α) (F w : Lp ℝ 2 (ν : Measure α))
(hw : FunctionalInequalities.L2.mean ν w = 0) :
⟪FunctionalInequalities.L2.center ν F, w⟫ = ⟪F, w⟫ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/BrascampLieb.lean#L75-L93 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.BrascampLieb`, declaration `FunctionalInequalities.KLS.LogConcave.inner_center_left_of_mean_zero`; the repository is private at upload time).