Effective Dynamics of Tracer in Active Bath: A Mean-field Theory Study

Mengkai Feng; Zhonghuai Hou

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arXiv · 2110.00279

Effective Dynamics of Tracer in Active Bath: A Mean-field Theory Study

Mengkai Feng·Zhonghuai Hou

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Abstract

We develop a theoretical framework to study the effective dynamics of a tracer immersed in a nonequilibrium bath consisting of active particles. By using a mean-field approximation and extending the linearized Dean equation to nonequilibrium environment, we derive a generalized Langevin equation for the tracer particle, wherein colored noise terms and a memory kernel reflect the roles of interactions between tracer and bath particles as well as activity of the bath. In particular, we obtain a self-consistent equation to calculate the long time diffusion coefficient and mobility of tracer, finding that they both increase non-linearly with bath activity, in good consistents with direct simulation results.

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Mengkai Feng, Zhonghuai Hou. 2021-10-01. Effective Dynamics of Tracer in Active Bath: A Mean-field Theory Study. https://arxiv.org/abs/2110.00279

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