Square-Integrable Functions Under Exponential Tilts
ProvedFunctionalInequalities.Analysis.BakryEmery.integrable_expTilt_of_memLp_readableThis theorem states that square-integrability is preserved as integrability under every exponential tilt.
Let be a real inner-product space, let be a finite measure on with all exponential moments, and let be a real normed space. If belongs to , then for every ,
The Lean statement uses MemLp g 2 μ and concludes Integrable g (expTilt μ z). This provides the integrability needed for tilt averages of square-integrable functions.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis.BakryEmery. Shown in its original module context. Proof omitted.
theorem integrable_expTilt_of_memLp
(μ : Measure E) [IsFiniteMeasure μ]
(hexp : ∀ r : ℝ, Integrable (fun x => Real.exp (r * ‖x‖)) μ) {g : E → G}
(hg : MemLp g 2 μ) (z : E) : Integrable g (expTilt μ z)
Module navigation
Module: Analysis/BakryEmery/Tilt/SquareIntegrable.
Definition modules: Analysis/BakryEmery/Tilt/Basic.
Supporting theorems: integrable_exp_mul_norm_of_memLp.
Previous: exists_norm_coordTensor_taylorTensor_le · Next: taylorTensor_succ_of_eq_inner.
Source excerpt, lines 627–630 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_Tilt_SquareIntegrable
open MeasureTheory Filter Topology FunctionalInequalities.Analysis.Tensor
universe u
variable {E : Type u} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [CompleteSpace E] [FiniteDimensional ℝ E]
variable {G : Type*}
variable [NormedAddCommGroup G] [NormedSpace ℝ G]
theorem FunctionalInequalities.Analysis.BakryEmery.integrable_expTilt_of_memLp_readable
(μ : Measure E) [IsFiniteMeasure μ]
(hexp : ∀ r : ℝ, Integrable (fun x => Real.exp (r * ‖x‖)) μ) {g : E → G}
(hg : MemLp g 2 μ) (z : E) : Integrable g (expTilt μ z) := by sorry