The Canonical Distribution and Stochastic Differential Equations

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Abstract

Until now, we have considered molecular models for isolated collections of atoms. We have seen how to derive equations of motion, and studied the properties of the relevant dynamical systems. We have also observed that the chaotic nature of a typical system imparts a random aspect which suggests that the dynamics defines, at least in some approximate sense, a limiting probability distribution.

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Leimkuhler, B., & Matthews, C. (2015). The Canonical Distribution and Stochastic Differential Equations. In Interdisciplinary Applied Mathematics (Vol. 39, pp. 211–260). Springer Nature. https://doi.org/10.1007/978-3-319-16375-8_6

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