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arXiv 0709.2901math.PRcond-mat.dis-nnmath-phmath.MP
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关于准定态竞争粒子系统的结构

On the structure of quasi-stationary competing particle systems

Louis-Pierre Arguin, Michael Aizenman

摘要:

我们研究点过程的配置$X$是局部有限的,有一个最大值,并通过相关的高斯变量的函数的增量。相关性是点的内在相关性,并通过矩阵$Q=\{q_{ij}\}_{i,j\in\mathbb{N}}$进行量化。如果$Q$和$X$的间隙的联合律在演化下是不变的,则称对$(X,Q)$上的概率测度是准平稳的。Ruelle概率级联(RPC)给出了一类已知的普遍拟平稳过程,它是基于分层嵌套Poisson-Dirichlet过程的.它被证明,直到一些自然的叠加,这些过程用尽类的法律是鲁棒的准平稳。这项工作的主要结果是证明这种猜想的情况下,$q_{ij}$假设只有有限数量的值。结果是相关的平均场自旋玻璃模型,其中的演变对应于腔的动力学,并首次提出的吉布斯措施的层次组织作为一个animals。

英文摘要:

We study point processes on the real line whose configurations $X$ are locally finite, have a maximum and evolve through increments which are functions of correlated Gaussian variables. The correlations are intrinsic to the points and quantified by a matrix $Q=\{q_{ij}\}_{i,j\in\mathbb{N}}$. A probability measure on the pair $(X,Q)$ is said to be quasi-stationary if the joint law of the gaps of $X$ and of $Q$ is invariant under the evolution. A known class of universally quasi-stationary processes is given by the Ruelle Probability Cascades (RPC), which are based on hierarchically nested Poisson--Dirichlet processes. It was conjectured that up to some natural superpositions these processes exhausted the class of laws which are robustly quasi-stationary. The main result of this work is a proof of this conjecture for the case where $q_{ij}$ assume only a finite number of values. The result is of relevance for mean-field spin glass models, where the evolution corresponds to the cavity dynamics, and where the hierarchical organization of the Gibbs measure was first proposed as an ansatz.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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