Most probable paths for active Ornstein-Uhlenbeck particles
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911005380968448 |
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| author | Dutta, Sandipan |
| author_facet | Dutta, Sandipan |
| contents | Fluctuations play an important role in the dynamics of stochastic systems. In particular, for small systems, the most probable thermodynamic quantities differ from their averages because of the fluctuations. Using the Onsager Machlup variational formalism we analyze the most probable paths for non-equilibrium systems, in particular active Ornstein-Uhlenbeck particles (AOUP), and investigate how the entropy production along these paths differ from the average entropy production. We investigate how much information about their non-equilibrium nature can be obtained from their extremum paths and how these paths depend on the persistence time and their swim velocities. We also look at how the entropy production along the most probable paths varies with the active noise and how it differs from the average entropy production. This study would be useful to design artificial active systems with certain target trajectories. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2506_11978 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Most probable paths for active Ornstein-Uhlenbeck particles Dutta, Sandipan Statistical Mechanics Fluctuations play an important role in the dynamics of stochastic systems. In particular, for small systems, the most probable thermodynamic quantities differ from their averages because of the fluctuations. Using the Onsager Machlup variational formalism we analyze the most probable paths for non-equilibrium systems, in particular active Ornstein-Uhlenbeck particles (AOUP), and investigate how the entropy production along these paths differ from the average entropy production. We investigate how much information about their non-equilibrium nature can be obtained from their extremum paths and how these paths depend on the persistence time and their swim velocities. We also look at how the entropy production along the most probable paths varies with the active noise and how it differs from the average entropy production. This study would be useful to design artificial active systems with certain target trajectories. |
| title | Most probable paths for active Ornstein-Uhlenbeck particles |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2506.11978 |