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arXiv 1702.02797math.PRcond-mat.stat-mech
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边界驱动布朗气体

Boundary driven Brownian gas

Lorenzo Bertini, Gustavo Posta

摘要:

我们考虑一个气体的独立布朗粒子在一个有界的时间间隔接触的两个粒子库的端点。由于粒子的布朗性质,在每个时间间隔内有无限多个粒子进入和离开系统。尽管如此,动力学可以被构造为在适当的空间上具有连续路径的马尔可夫过程。如果$λ_0$和$λ_1$是边界库的化学势,则平稳分布(可逆当且仅当$λ_0=λ_1$)是泊松点过程,其强度由$λ_0$和$λ_1$之间的线性插值给出。然后,我们分析的经验流,它是通过计数,在一个时间间隔$[0,t]$,通过一个给定的点$x$的粒子的净数量定义的。在固定制度,我们确定其统计,并表明,它是给定的,除了一个$x$相关的校正,是有界的大$t$,由两个独立的泊松过程的差异与参数$λ_0$和$λ_1$。

英文摘要:

We consider a gas of independent Brownian particles on a bounded interval in contact with two particle reservoirs at the endpoints. Due to the Brownian nature of the particles, infinitely many particles enter and leave the system in each time interval. Nonetheless, the dynamics can be constructed as a Markov process with continuous paths on a suitable space. If $λ_0$ and $λ_1$ are the chemical potentials of the boundary reservoirs, the stationary distribution (reversible if and only if $λ_0=λ_1$) is a Poisson point process with intensity given by the linear interpolation between $λ_0$ and $λ_1$. We then analyze the empirical flow that it is defined by counting, in a time interval $[0,t]$, the net number of particles crossing a given point $x$. In the stationary regime we identify its statistics and show that it is given, apart an $x$ dependent correction that is bounded for large $t$, by the difference of two independent Poisson processes with parameters $λ_0$ and $λ_1$.

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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