On the Time Derivative of the KL Divergence for a Generalized Langevin Annealing Scheme

Fuente: arXiv
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Autore principale: Habring, Andreas
Natura: Preprint
Pubblicazione: 2025
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author Habring, Andreas
author_facet Habring, Andreas
contents Consider the Langevin diffusion process $\mathrm{d} X_t = \nabla \log p_t(X_t) + \sqrt{2}\mathrm{d} W_t$ guided by the time-dependent probability density $p_t(x)$. Let $q_t$ be the density of $X_t$. Recently, in order to analyze convergence in the Kullback-Leibler divergence, the time derivative of $t\mapsto \mathrm{KL}(q_t|p_t)$ has been used in several works without investigating in detail when such a derivative exists. In this short manuscript we provide a rigorous derivation of the quantity $\frac{\mathrm{d}}{\mathrm{d} t}\mathrm{KL}(q_t|p_t)$.
format Preprint
id arxiv_https___arxiv_org_abs_2511_11956
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the Time Derivative of the KL Divergence for a Generalized Langevin Annealing Scheme
Habring, Andreas
Optimization and Control
Probability
65C40, 65C05, 68U10, 65C60
G.3; I.4.5
Consider the Langevin diffusion process $\mathrm{d} X_t = \nabla \log p_t(X_t) + \sqrt{2}\mathrm{d} W_t$ guided by the time-dependent probability density $p_t(x)$. Let $q_t$ be the density of $X_t$. Recently, in order to analyze convergence in the Kullback-Leibler divergence, the time derivative of $t\mapsto \mathrm{KL}(q_t|p_t)$ has been used in several works without investigating in detail when such a derivative exists. In this short manuscript we provide a rigorous derivation of the quantity $\frac{\mathrm{d}}{\mathrm{d} t}\mathrm{KL}(q_t|p_t)$.
title On the Time Derivative of the KL Divergence for a Generalized Langevin Annealing Scheme
topic Optimization and Control
Probability
65C40, 65C05, 68U10, 65C60
G.3; I.4.5
url https://arxiv.org/abs/2511.11956