Log-Laplace Formula for Compact Posteriors
ProvedFunctionalInequalities.Probability.Posterior.logLaplace_compactPosterior_readableThis statement gives the log-Laplace identity for a compactly supported linear–quadratic posterior.
Let be a complete finite-dimensional real inner-product space, let be a probability law with compact support, let , and let be continuous linear. For the compact posterior and the log-partition function , one has
where is Analysis.BakryEmery.logLaplace. The identity is a direct formula for the posterior log-Laplace transform and is reusable in derivative and cumulant calculations.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability.Posterior. Shown in its original module context. Proof omitted.
omit [CompleteSpace E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E] in
theorem logLaplace_compactPosterior
[CompleteSpace E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
(μ : ProbabilityMeasure E)
(hc : IsCompact (μ : Measure E).support) (c : E) (Q : E →L[ℝ] E) (z : E) :
Analysis.BakryEmery.logLaplace (compactPosterior μ hc c Q : Measure E) z =
logPartition μ (c + z) Q - logPartition μ c Q
Module navigation
Module: Probability/Posterior/LogPartition.
Definition modules: Analysis/BakryEmery/Cumulant/Basic, Probability/Posterior/CompactDomain.
Previous: contDiff_logPartition_joint · Next: cumulant_compactPosterior.
Source excerpt, lines 204–212 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Posterior_LogPartition
open MeasureTheory ProbabilityTheory
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [CompleteSpace E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
theorem FunctionalInequalities.Probability.Posterior.logLaplace_compactPosterior_readable
[CompleteSpace E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
(μ : ProbabilityMeasure E)
(hc : IsCompact (μ : Measure E).support) (c : E) (Q : E →L[ℝ] E) (z : E) :
Analysis.BakryEmery.logLaplace (compactPosterior μ hc c Q : Measure E) z =
logPartition μ (c + z) Q - logPartition μ c Q := by sorry