Equivalence of Sobolev Norms with Respect to Weighted Gaussian Measures

IF 1 3区 数学 Q1 MATHEMATICS Potential Analysis Pub Date : 2024-07-31 DOI:10.1007/s11118-024-10155-3
D. Addona
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Abstract

We consider the spaces \({\text {L}}^p(X,\nu ;V)\), where X is a separable Banach space, \(\mu \) is a centred non-degenerate Gaussian measure, \(\nu :=Ke^{-U}\mu \) with normalizing factor K and V is a separable Hilbert space. In this paper we prove a vector-valued Poincaré inequality for functions \(F\in W^{1,p}(X,\nu ;V)\), which allows us to show that for every \(p\in (1,\infty )\) and every \(k\in \mathbb {N}\) the norm in \(W^{k,p}(X,\nu )\) is equivalent to the graph norm of \(D_H^{k}\) (the k-th Malliavin derivative) in \({\text {L}}^p(X,\nu )\). To conclude, we show exponential decay estimates for the V-valued perturbed Ornstein-Uhlenbeck semigroup \((T^V(t))_{t\ge 0}\), defined in Section 2.6, as t goes to infinity. Useful tools are the study of the asymptotic behaviour of the scalar perturbed Ornstein-Uhlenbeck \((T(t))_{t\ge 0}\), and pointwise estimates for \(|D_HT(t)f|_H^p\) by means of both \(T(t)|D_Hf|^p_H\) and \(T(t)|f|^p\).

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关于加权高斯度量的索波列夫规范的等价性
我们考虑空间 \({\text {L}}^p(X,\nu ;V)\),其中 X 是一个可分离的巴拿赫空间,\(\mu \)是一个有中心的非退化高斯度量,\(\nu :=Ke^{-U}\mu \)带有归一化因子 K,而 V 是一个可分离的希尔伯特空间。本文证明了函数 \(F\in W^{1,p}(X,\nu ;V)),这使我们能够证明,对于每一个(p)和每一个(k),在(W^{k、p}(X,\nu))中的\(D_H^{k}\)(第 k 个马利亚文导数)的图规范是等价的。最后,我们展示了第 2.6 节中定义的 V 值扰动奥恩斯坦-乌伦贝克半群 \((T^V(t))_{t\ge 0}\)在 t 进入无穷大时的指数衰减估计。有用的工具是研究标量扰动 Ornstein-Uhlenbeck \((T(t))_{t\ge 0}\) 的渐近行为,以及通过 \(T(t)|D_HT(t)f|_H^p\) 和 \(T(t)|f|^p\) 对 \(|D_HT(t)f|_H^p\) 的点估计。
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来源期刊
Potential Analysis
Potential Analysis 数学-数学
CiteScore
2.20
自引率
9.10%
发文量
83
审稿时长
>12 weeks
期刊介绍: The journal publishes original papers dealing with potential theory and its applications, probability theory, geometry and functional analysis and in particular estimations of the solutions of elliptic and parabolic equations; analysis of semi-groups, resolvent kernels, harmonic spaces and Dirichlet forms; Markov processes, Markov kernels, stochastic differential equations, diffusion processes and Levy processes; analysis of diffusions, heat kernels and resolvent kernels on fractals; infinite dimensional analysis, Gaussian analysis, analysis of infinite particle systems, of interacting particle systems, of Gibbs measures, of path and loop spaces; connections with global geometry, linear and non-linear analysis on Riemannian manifolds, Lie groups, graphs, and other geometric structures; non-linear or semilinear generalizations of elliptic or parabolic equations and operators; harmonic analysis, ergodic theory, dynamical systems; boundary value problems, Martin boundaries, Poisson boundaries, etc.
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