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arXiv 1810.09545cond-mat.stat-mech
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基于信息几何的熵产生与随机相互作用统一框架

Unified framework for the entropy production and the stochastic interaction based on information geometry

Sosuke Ito, Masafumi Oizumi, Shun-ichi Amari

摘要:

给出了随机热力学中的熵产生与信息集成理论中的随机相互作用之间的关系。为了澄清这种关系,我们新引入的信息几何解释的熵产生的总系统和部分熵产生的子系统。我们表明,违反的熵产生的可加性是有关的随机相互作用。该框架是集成信息论的热力学基础。我们还表明,我们的信息几何形式主义导致一个新的表达式的熵产生相关的优化问题,最大限度地减少Kullback-Leibler分歧。我们用自旋模型分析说明了这一解释。

英文摘要:

We show a relationship between the entropy production in stochastic thermodynamics and the stochastic interaction in the information integrated theory. To clarify this relationship, we newly introduce an information geometric interpretation of the entropy production for a total system and the partial entropy productions for subsystems. We show that the violation of the additivity of the entropy productions is related to the stochastic interaction. This framework is a thermodynamic foundation of the integrated information theory. We also show that our information geometric formalism leads to a novel expression of the entropy production related to an optimization problem minimizing the Kullback-Leibler divergence. We analytically illustrate this interpretation by using the spin model.

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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