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Derivation of the Onsager principle from large deviation theory
Institution:1. Applied Research Laboratories, The University of Texas at Austin, P.O. Box 8029, Austin, TX 78758, USA;2. Department of Physics, Ilya Prigogine Center for Studies in Statistical Mechanics and Complex Systems, The University of Texas at Austin, Austin, TX 78712, USA;1. Department of Physics, Xi’an University of Architecture and Technology, Xi’an 710055, China;2. Xi’an University of Architecture and Technology Hua Qing College, Xi’an 710043, China;3. Institute of Atomic and Molecular Physics, Sichuan University, Chengdu 610065, China;4. International Centre for Materials Physics, Academia Sinica, Shenyang 110016, China;1. School of Mathematical Sciences, Fudan University, Shanghai 200433, China;2. Department of Mathematics, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Abstract:The Onsager linear relations between macroscopic flows and thermodynamics forces are derived from the point of view of large deviation theory. For a given set of macroscopic variables, we consider the short-time evolution of near-equilibrium fluctuations, represented as the limit of finite-size conditional expectations. The resulting asymptotic conditional expectation is taken to represent the typical macrostate of the system and is used in place of the usual time-averaged macrostate of traditional approaches. By expanding in the short-time, near-equilibrium limit and equating the large deviation rate function with the thermodynamic entropy, a linear relation is obtained between the time rate of change of the macrostate and the conjugate initial macrostate. A Green–Kubo formula for the Onsager matrix is derived and shown to be positive semi-definite, while the Onsager reciprocity relations readily follow from time reversal invariance. Although the initial tendency of a macroscopic variable is to evolve towards equilibrium, we find that this evolution need not be monotonic. The example of an ideal Knundsen gas is considered as an illustration.
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