论文标题
精确解决系统中的熵生产
Entropy production in exactly solvable systems
论文作者
论文摘要
随机过程的熵产生速率量化了它离热力学平衡的距离。同等地,熵产生捕获了详细的平衡和时间反转对称性的程度。尽管文献中及其在非平衡随机粒子系统研究中的熵产生及其在研究中的许多应用中,但缺乏典型示例的全面列表,这些典型示例列出了熵产生的基本原理。在这里,我们提出了对熵产生的简短,独立的评论,并根据目录中的第一原理进行了将其计算,其中包括离散和连续状态的马尔可夫流程以及单粒子系统和多粒子系统。这项工作中涵盖的示例为进一步研究更复杂的系统的熵生产提供了垫脚石,例如许多粒子活动物质,以及开发替代数学形式主义的基准。
The rate of entropy production by a stochastic process quantifies how far it is from thermodynamic equilibrium. Equivalently, entropy production captures the degree to which detailed balance and time-reversal symmetry are broken. Despite abundant references to entropy production in the literature and its many applications in the study of non-equilibrium stochastic particle systems, a comprehensive list of typical examples illustrating the fundamentals of entropy production is lacking. Here, we present a brief, self-contained review of entropy production and calculate it from first principles in a catalogue of exactly solvable setups, encompassing both discrete- and continuous-state Markov processes, as well as single- and multiple-particle systems. The examples covered in this work provide a stepping stone for further studies on entropy production of more complex systems, such as many-particle active matter, as well as a benchmark for the development of alternative mathematical formalisms.