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arXiv 1506.08049cond-mat.stat-mech
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一个简单信息引擎的大偏差分析

Large deviation analysis of a simple information engine

Michael Maitland, Stefan Grosskinsky, Rosemary J. Harris

摘要:

信息热力学为研究反馈回路对熵产生的影响提供了一个框架。它使人们能够理解新的热力学系统,如信息引擎,它可以被视为现代版本的“麦克斯韦的守护进程”,其中反馈控制器是作为一个守护进程,处理信息获得的系统,以便做工作。在这里,我们分析了这样一个引擎的一个简单模型,并提供了其波动特性的详细分析,包括信息的大偏差。我们找到了一个精确的表达的大偏差率函数为我们的模型的两个站点的版本,并提供了一个近似的分析,这是由模拟数据所证实的较大的系统。

英文摘要:

Information thermodynamics provides a framework for studying the effect of feedback loops on entropy production. It has enabled the understanding of novel thermodynamic systems such as the information engine which can be seen as a modern version of `Maxwell's Daemon', whereby the feedback controller is acting as a Daemon, processing information gained about the system in order to do work. Here, we analyse a simple model of such an engine and provide a detailed analysis of its fluctuation properties, including the large deviations of information. We find an exact expression of the large deviation rate function for a two-site version of our model, and provide an approximate analysis for larger systems which is corroborated by simulation data.

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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