2002
DOI: 10.1214/aop/1039548378
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Entropy inequalities for unbounded spin systems

Abstract: We consider nonconservative, reversible spin systems, with unbounded discrete spins. We show that for a class of these dynamics in a high temperature regime, the relative entropy with respect to the equilibrium distribution decays exponentially in time, although the logarithmic-Sobolev inequality fails. To this end we prove a weaker modification of the logarithmic-Sobolev inequality.

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Cited by 51 publications
(94 citation statements)
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“…which, by tensorization, recovers the following L 1 inequality of [11,7], and proved in [28] in the Poisson case. In the next proposition we state and prove this inequality in the multidimensional case, using the Clark representation formula, similarly to Theorem 13.3.…”
Section: Lemma 131supporting
confidence: 71%
See 1 more Smart Citation
“…which, by tensorization, recovers the following L 1 inequality of [11,7], and proved in [28] in the Poisson case. In the next proposition we state and prove this inequality in the multidimensional case, using the Clark representation formula, similarly to Theorem 13.3.…”
Section: Lemma 131supporting
confidence: 71%
“…Our approach is based on the intrinsic tools (gradient, divergence, Laplacian) of infinite-dimensional stochastic analysis. We refer to [4,3,17,20], for other versions of logarithmic Sobolev inequalities in discrete settings, and to [7,28] for the Poisson case. Section 14 contains a change of variable formula in discrete time, which is applied with the Clark formula in Section 15 to a derivation of the Black-Scholes formula in discrete time, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the inequality (1.5) was considered by M. Ledoux [29] for product measures on the discrete cube and, as an application, for Poissonian limits. While preparing the present paper, we learnt that the inequality (1.5) was also introduced by Dai Pra, Paganoni and Posta (see [13] where ρ 0 is referred to as the "entropy constant") in the context of certain Gibbs measures on Z d . In particular, they showed examples of measures which fail to satisfy the classical inequality (1.7), while satisfying (1.5).…”
Section: Introductionmentioning
confidence: 85%
“…e.g. [9]. In this paper we consider the general discrete setting of a probability space (E, E, µ), and a finite difference gradient d + defined as d…”
Section: Introductionmentioning
confidence: 99%