The five density-domain conditions for log-Sobolev
AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.Generator.LogSobolevAdmissible · def · Teaching coverage
Statement
For a measure μ on a measurable space E, an arbitrary operator L on real functions, and ρ:E→ℝ, LogSobolevAdmissible means: ρ is pointwise nonnegative; ρ is μ-integrable; ∫ρ dμ=1; ρ logρ is μ-integrable; and ρ L(logρ) is μ-integrable. Here logρ is the exact totalized function x↦Real.log(ρ(x)).
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.
- ρ is arbitrary when the predicate is formed. All five listed properties must be proved to construct a witness.
- Integrable means a.e. strong measurability together with finite integral of the norm, not merely existence of the totalized integral expression.
- Nonnegativity is pointwise, not merely μ-a.e. The base measure is not required to be probability by this predicate itself.
Construction and meaning
1. Require a nonnegative integrable normalized weight
Supply the sign, integrability, and unit-integral statements separately.
Corresponding Lean step
Generator.LogSobolevAdmissible: first three conjuncts
2. Require finite entropy integrability
Demand integrability of the product with the totalized logarithm; integrability of ρ alone does not supply it.
Corresponding Lean step
MeasureTheory.Integrable
3. Require finite generator pairing and collect the domain
Demand integrability of ρ times L applied to the full log function. This last condition controls the Dirichlet pairing used in the inequality.
Corresponding Lean step
Generator.LogSobolevAdmissible: last conjunct
Lean statement · LogSobolevAdmissible
This is a five-part logical proposition, not a structure with generated named fields. It supplies no differentiability or chain rule for the logarithm at zero-density points.
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 LogSobolevAdmissible
(mu : Measure E) (generator : (E → ℝ) → E → ℝ)
(rho : E → ℝ) : PropLean construction · LogSobolevAdmissible
Construct a witness by proving every listed condition. In particular, neither entropy integrability nor generator-pairing integrability is inferred from normalization.
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 LogSobolevAdmissible
(mu : Measure E) (generator : (E → ℝ) → E → ℝ)
(rho : E → ℝ) : Prop :=
(0 ≤ rho) ∧
Integrable rho mu ∧
(∫ x, rho x ∂mu) = 1 ∧
Integrable (fun x => rho x * Real.log (rho x)) mu ∧
Integrable (fun x => rho x * generator (fun y => Real.log (rho y)) x) mu
/-- Chewi Definition 1.2.25: the density log-Sobolev inequality
`KL(rho mu || mu) <= (C/2) E(rho, log rho)`. -/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 strict positivity, smoothness, RN representative choice, generator-domain stability, or closed Dirichlet-form/Sobolev domain is imposed.
- The operator is arbitrary on pointwise functions; the predicate does not grant invariance under changing ρ on a null set.
Source and reuse
ASTIS parents called
Mathlib API called (external library)
- MeasureTheory.Integrable
- MeasureTheory.integral
- Real.log
Mathematical sources
- Exact existing ASTIS declaration — Current statement and body; renderer extracts exact Lean rather than duplicating it in this packet.
- Integrability includes measurability and finite norm integral — Exact domain meaning.
ASTIS prose is not a quotation or a source-equivalence certificate. Definitions and aliases are explained as constructions, not counted as new mathematical proofs.