Moderate deviations of generalized $N$-urn Ehrenfest models

含杂质的Ehrenfest瓮的混合三分性

Mixing trichotomy for an Ehrenfest urn with impurities

该研究针对含普通球与重球两类球的双瓮Ehrenfest模型，分析左瓮球数的渐近收敛性及收敛速度，发现其收敛于参数1/2的二项分布，且收敛速度依参数呈现三种不同现象。

A new method for computing the expected hitting time between arbitrary different configurations of the multiple-urn Ehrenfest model

We study a multiple-urn version of the Ehrenfest model. In this setting, we denote the n urns by Urn 1 to Urn n, where n>=2. Initially, M balls are randomly placed in the n urns. At each subsequent step, a ball is selected and put into the other n-1 urns with equal probability. The expected hitting time leading to a change of the M balls' status is computed using the method of stopping times. As a corollary, we obtain the expected hitting time of moving all the M balls from Urn 1 to Urn 2. This proves a conjecture which was recently made in Chen et al.(2017).

On the distribution of the hitting time for the N-urn Ehrenfest model

In this paper, we consider the N-urn Ehrenfest model. By utilizing an auxiliary continuous-time Markov chain, we obtain the explicit formula for the Laplace transform of the hitting time from a single state to a set A of states where A satisfies some symmetric properties. After obtaining the Laplace transform, we are able to compute the high-order moments(especially, variance) for the hitting time.

Hydrodynamics of the generalized $N$-urn Ehrenfest model

In this paper we are concerned with a generalized $N$-urn Ehrenfest model, where balls keeps independent random walks between $N$ boxes uniformly laid on $[0, 1]$. After a proper scaling of the transition rates function of the aforesaid random walk, we derive the hydrodynamic limit of the model, i.e., the law of large numbers which the empirical measure of the model follows, under an assumption where the initial number of balls in each box independently follows a Poisson distribution. We show that the empirical measure of the model converges weakly to a deterministic measure with density drive…

Large deviations of a long-time average in the Ehrenfest Urn Model

Since its inception in 1907, the Ehrenfest urn model (EUM) has served as a test bed of key concepts of statistical mechanics. Here we employ this model to study large deviations of a time-additive quantity. We consider two continuous-time versions of the EUM with $K$ urns and $N$ balls: without and with interactions between the balls in the same urn. We evaluate the probability distribution $\mathcal{P}_T(\bar{n}= a N)$ that the average number of balls in one urn over time $T$, $\bar{n}$, takes any specified value $aN$, where $0\leq a\leq 1$. For long observation time, $T\to \infty$, a Donsker…