CLT for NESS of a reaction-diffusion model

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
P. Gonçalves, M. Jara, R. Marinho, O. Menezes
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引用次数: 0

Abstract

We study the scaling properties of the non-equilibrium stationary states (NESS) of a reaction-diffusion model. Under a suitable smallness condition, we show that the density of particles satisfies a law of large numbers with respect to the NESS, with an explicit rate of convergence, and we also show that at mesoscopic scales the NESS is well approximated by a local equilibrium (product) measure, in the total variation distance. In addition, in dimensions \(d \le 3\) we show a central limit theorem for the density of particles under the NESS. The corresponding Gaussian limit can be represented as an independent sum of a white noise and a massive Gaussian free field, and in particular it presents macroscopic correlations.

用于反应扩散模型 NESS 的 CLT
我们研究了反应扩散模型的非平衡静止态(NESS)的缩放特性。在一个合适的小度条件下,我们证明了粒子密度满足关于非平衡静止态的大数定律,并有一个明确的收敛速率,我们还证明了在介观尺度下,非平衡静止态在总变化距离上可以很好地被局部平衡(乘积)度量近似。此外,在维度(d\le 3\)上,我们展示了NESS下粒子密度的中心极限定理。相应的高斯极限可以表示为一个白噪声和一个大质量高斯自由场的独立和,特别是它呈现出宏观相关性。
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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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