Malliavin Calculus for Degenerate Diffusions

Fuente: arXiv
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1. Verfasser: Üstünel, Ali Süleyman
Format: Preprint
Veröffentlicht: 2020
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author Üstünel, Ali Süleyman
author_facet Üstünel, Ali Süleyman
contents Let $(W,H,μ)$ be the classical Wiener space on $\R^d$. Assume that $X=(X_t(x))$ is a diffusion process satisfying the stochastic differential equation with diffusion and drift coefficients $σ: \R^n\to \R^n\otimes \R^d$, $b: \R^n\to \R^n$, $B$ is an $\R^d$-valued Brownian motion. We suppose that $b$ and $σ$ are Lipschitz. Let $P(x)$ be the orthogonal projection from $\R^d$ to its closed subspace $σ(x)^\star(\R^n)$, assuming that $x\to P(x)$ is continuously differentiable, we construct a covariant derivative $\hat{\nabla}$ on the paths of the diffusion process, along the elements of the Cameron-Martin space and prove that this derivative is closable on $L^p(ν)$, where $ν$ represents the law of the above diffusion process, i.e., $ν=X(x)(μ)$, the image of the Wiener measure under the function $w\to X_\cdot(w,x)$. We study the adjoint of this operator and we prove several results: representation theorem for $L^2(ν)$-functionals, the logarithmic Sobolev inequality for $ν$. As applications of these results the proof of the Logarithmic Sobolev inequality on the path space of Dyson's Brownian motion is given by using the covariant derivative. We then explain how to use this theory for deriving the functional inequalities for the measures defined by the semigroups of the diffusion process at the time $t=1$ and with fixed starting point. Finally we show that one can obtain also these inequalities for the conditional measures due to a conditional independence result which is a consequence of the degeneracy of the diffusion process.
format Preprint
id arxiv_https___arxiv_org_abs_2012_07316
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Malliavin Calculus for Degenerate Diffusions
Üstünel, Ali Süleyman
Probability
Functional Analysis
60H
Let $(W,H,μ)$ be the classical Wiener space on $\R^d$. Assume that $X=(X_t(x))$ is a diffusion process satisfying the stochastic differential equation with diffusion and drift coefficients $σ: \R^n\to \R^n\otimes \R^d$, $b: \R^n\to \R^n$, $B$ is an $\R^d$-valued Brownian motion. We suppose that $b$ and $σ$ are Lipschitz. Let $P(x)$ be the orthogonal projection from $\R^d$ to its closed subspace $σ(x)^\star(\R^n)$, assuming that $x\to P(x)$ is continuously differentiable, we construct a covariant derivative $\hat{\nabla}$ on the paths of the diffusion process, along the elements of the Cameron-Martin space and prove that this derivative is closable on $L^p(ν)$, where $ν$ represents the law of the above diffusion process, i.e., $ν=X(x)(μ)$, the image of the Wiener measure under the function $w\to X_\cdot(w,x)$. We study the adjoint of this operator and we prove several results: representation theorem for $L^2(ν)$-functionals, the logarithmic Sobolev inequality for $ν$. As applications of these results the proof of the Logarithmic Sobolev inequality on the path space of Dyson's Brownian motion is given by using the covariant derivative. We then explain how to use this theory for deriving the functional inequalities for the measures defined by the semigroups of the diffusion process at the time $t=1$ and with fixed starting point. Finally we show that one can obtain also these inequalities for the conditional measures due to a conditional independence result which is a consequence of the degeneracy of the diffusion process.
title Malliavin Calculus for Degenerate Diffusions
topic Probability
Functional Analysis
60H
url https://arxiv.org/abs/2012.07316