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Entropy and Nonlinear Nonequilibrium Thermodynamic Relation for Heat Conducting Steady States

机译:热的熵和非线性非平衡热力学关系   进行稳定状态

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摘要

Among various possible routes to extend entropy and thermodynamics tononequilibrium steady states (NESS), we take the one which is guided byoperational thermodynamics and the Clausius relation. In our previous study, wederived the extended Clausius relation for NESS, where the heat in the originalrelation is replaced by its "renormalized" counterpart called the excess heat,and the Gibbs-Shannon expression for the entropy by a new symmetrizedGibbs-Shannon-like expression. Here we concentrate on Markov processesdescribing heat conducting systems, and develop a new method for derivingthermodynamic relations. We first present a new simpler derivation of theextended Clausius relation, and clarify its close relation with the linearresponse theory. We then derive a new improved extended Clausius relation witha "nonlinear nonequilibrium" contribution which is written as a correlationbetween work and heat. We argue that the "nonlinear nonequilibrium"contribution is unavoidable, and is determined uniquely once we accept the(very natural) definition of the excess heat. Moreover it turns out that tooperationally determine the difference in the nonequilibrium entropy to thesecond order in the temperature difference, one may only use the previousClausius relation without a nonlinear term or must use the new relation,depending on the operation (i.e., the path in the parameter space). Thispeculiar "twist" may be a clue to a better understanding of thermodynamics andstatistical mechanics of NESS.
机译:在将熵和热力学扩展到非平衡稳态(NESS)的各种可能途径中,我们采用一种以操作热力学和克劳修斯关系为指导的途径。在我们之前的研究中,我们推导了NESS的扩展克劳修斯关系,其中原始关系中的热量被其“重新归一化”的对等物(称为多余热量)所替代,而Gibbs-Shannon表达式的熵被新对称的Gibbs-Shannon表达式所替代。 。在这里,我们专注于描述导热系统的马尔可夫过程,并开发出一种推导热力学关系的新方法。我们首先给出扩展克劳修斯关系的一个新的更简单的推导,并用线性响应理论阐明它的紧密关系。然后,我们得出了一个新的改进的扩展克劳修斯关系,具有“非线性非平衡”贡献,被写为功与热之间的相关性。我们认为“非线性非平衡”贡献是不可避免的,并且一旦我们接受了多余热量的(非常自然的)定义就可以唯一地确定。此外,事实证明,要在操作上确定温差中非平衡熵与第二阶的差异,可以根据运算(即运算中的路径)仅使用先前的克劳修斯关系而不使用非线性项,或者必须使用新的关系。参数空间)。这种特殊的“扭曲”可能是更好地理解NESS的热力学和统计力学的线索。

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