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Enfoque matricial de la teoría de conjuntos generalizada para sistemas discretos de no equilibrio
1Chinese Academy of Military Science, Chinese Academy of Military Science, Defense Innovation Institute, Beijing 100071, China and Intelligent Game and Decision Laboratory, Beijing 100071, China.
Abstract:
A universal and rigorous ensemble framework for nonequilibrium systems remains lacking. Here, we provide a concise framework for the generalized ensemble theory of nonequilibrium discrete systems using a matrix-based approach. By introducing an observation matrix, we show that any discrete probability distribution can be formulated as a generalized Boltzmann distribution, with observables and their conjugate variables serving as basis vectors and coordinates in a vector space. Within this framework, we identify the minimal sufficient statistics required to infer the Boltzmann distribution. The nonequilibrium thermodynamic relations and fluctuation-dissipation relations naturally emerge from this framework. Our findings provide a new approach to developing generalized ensemble theory for nonequilibrium discrete systems.
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