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arXiv · 2504.10124

Unravelling the Flow of Information in a Nonequilibrium Process in the Presence of Hydrodynamic Interactions

Biswajit Das·Sreekanth K Manikandan·Ayan Banerjee
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Abstract

Identifying the origin of nonequilibrium characteristics in a generic interacting system having multiple degrees of freedom is a challenging task. In this context, information theoretic measures such as mutual information and related polymorphs offer valuable insights. Here, we explore these measures in a minimal experimental model consisting of two hydrodynamically coupled colloidal particles, where a nonequilibrium drive is introduced via an exponentially correlated noise acting on one of the particles. We show that the information-theoretic tools considered enable a systematic, data-driven dissection of information flow within the system. These measures allow us to identify the driving node and reconstruct the directional dependencies between particles. Notably, they help explain a recently observed, counterintuitive trend in the dependence of irreversibility on interaction strength under coarse-graining (B. Das et.al., arXiv:2405.00800 (2024)). Finally, our results demonstrate how directional information measures can uncover the hidden structure of nonequilibrium dynamics and provide a framework for studying similar effects in more complex systems.

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Biswajit Das, Sreekanth K Manikandan, Ayan Banerjee. 2025-04-14. Unravelling the Flow of Information in a Nonequilibrium Process in the Presence of Hydrodynamic Interactions. https://doi.org/10.1103/dvb3-b2v8

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