Samplinglib
Lean gate not recorded for this source state main · 0e31a3cda412
ASTIS mathematical exposition

The three finite-integral obligations for Poincaré's inequality

AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.Generator.PoincareAdmissible · def · Teaching coverage

Statement

For a measure μ on a measurable space E, an arbitrary operator L, and f:E→ℝ, PoincareAdmissible means exactly that f, its squared displacement from ∫f dμ, and the generator pairing integrand fLf are μ-integrable. The predicate itself neither assumes μ is probability nor imposes linearity on L.

\[\mathcal A_P(\mu,L,f)\ :\Longleftrightarrow\ f\in L^1(\mu)\ \land\ (f-\textstyle\int_E f\,d\mu)^2\in L^1(\mu)\ \land\ fLf\in L^1(\mu).\]

All objects and hypotheses

  • E is any measurable space and μ is any measure on E, unless probability normalization is explicitly included below. No topology, norm, finite dimension, σ-finiteness, or nonempty-space premise is imposed.
  • L:(E→ℝ)→(E→ℝ) is an arbitrary operator on real functions. This signature does not require linearity, measurability preservation, Markovness, or a semigroup.
  • f:E→ℝ is arbitrary when the predicate is formed. To inhabit it, all three stated integrability facts must be proved.
  • Integrable means a.e. strong measurability together with finite integral of the norm, not merely existence of the totalized integral expression.

Construction and meaning

1. Require an integrable observable

This gives a genuine finite centering integral.

\[f\in L^1(\mu).\]
Corresponding Lean step

MeasureTheory.Integrable

2. Require an integrable centered square

This is the precise variance integrand used by this module, not an unstated equivalent domain.

\[(f-\textstyle\int_E f\,d\mu)^2\in L^1(\mu).\]
Corresponding Lean step

Generator.variance integrand

3. Require an integrable generator pairing and collect the conditions

The last condition makes the quadratic Dirichlet pairing a finite integral. The three proofs are joined by logical conjunction.

\[fLf\in L^1(\mu),\qquad\mathcal A_P\equiv A_1\land A_2\land A_3.\]
Corresponding Lean step

Generator.PoincareAdmissible; And

Lean statement · PoincareAdmissible

This definition returns a proposition. Its conjunction components are real proof obligations, not metadata fields or automatically established regularity.

Braces mark parameters Lean can infer; square brackets request structures such as a measurable space or probability measure. Named hypotheses are mathematical premises, not facts established by this declaration. Section parameters are described in the mathematical hypotheses above; the module link retains their exact source context.

def PoincareAdmissible
    (mu : Measure E) (generator : (E → ℝ) → E → ℝ)
    (f : E → ℝ) : Prop

Exact module and namespace context

Lean construction · PoincareAdmissible

Constructing a witness requires supplying each of the three integrability proofs. No one component is derived from another, and no witness is created by the definition.

Braces mark parameters Lean can infer; square brackets request structures such as a measurable space or probability measure. Named hypotheses are mathematical premises, not facts established by this declaration. Section parameters are described in the mathematical hypotheses above; the module link retains their exact source context.

def PoincareAdmissible
    (mu : Measure E) (generator : (E → ℝ) → E → ℝ)
    (f : E → ℝ) : Prop :=
  Integrable f mu ∧
    Integrable (fun x => (f x - ∫ y, f y ∂mu) ^ 2) mu ∧
    Integrable (fun x => f x * generator f x) mu

/-- Chewi Definition 1.2.19: the generator Poincare inequality
`Var_mu(f) <= C * E(f,f)` for every admissible observable. -/

Exact module and namespace context

Scope and omitted-condition boundaries

  • This defines a proposition that must be proved for a concrete model. It does not prove existence of a witness or derive an inequality from the operator's name.
  • No global invariant-law, stationarity for every observable, reversibility, semigroup construction, or concrete diffusion identity is inferred from this declaration.
  • No probability normalization, operator-domain closure or global L² theorem is included.

Source and reuse

ASTIS parents called

    Mathlib API called (external library)

    • MeasureTheory.Integrable
    • MeasureTheory.integral

    Mathematical sources

    ASTIS prose is not a quotation or a source-equivalence certificate. Definitions and aliases are explained as constructions, not counted as new mathematical proofs.