Synchronization of two bacterial flagella as a stochastic process
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866915214652342272 |
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| author | Qin, Jing Uchida, Nariya |
| author_facet | Qin, Jing Uchida, Nariya |
| contents | Synchronization with noise is important for understanding biophysical processes at nano- and micro-meter scales, such as neuronal firing and flagellar rotations. To understand the energetics of these processes, stochastic thermodynamics approaches are useful. Due to large fluctuations in a small system, ensemble averages of thermodynamic quantities are not sufficient to characterize the energetics of an individual sample. In this paper, we use a model for synchronization of bacterial flagella as an example, and develop an approximation method for analyzing the phase and heat dissipation in trajectories for different noise realizations. We describe the {temporal evolution} of the phase difference and heat dissipation as stochastic processes, and verify the analytical results by numerical simulations. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_18103 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Synchronization of two bacterial flagella as a stochastic process Qin, Jing Uchida, Nariya Adaptation and Self-Organizing Systems Biological Physics Synchronization with noise is important for understanding biophysical processes at nano- and micro-meter scales, such as neuronal firing and flagellar rotations. To understand the energetics of these processes, stochastic thermodynamics approaches are useful. Due to large fluctuations in a small system, ensemble averages of thermodynamic quantities are not sufficient to characterize the energetics of an individual sample. In this paper, we use a model for synchronization of bacterial flagella as an example, and develop an approximation method for analyzing the phase and heat dissipation in trajectories for different noise realizations. We describe the {temporal evolution} of the phase difference and heat dissipation as stochastic processes, and verify the analytical results by numerical simulations. |
| title | Synchronization of two bacterial flagella as a stochastic process |
| topic | Adaptation and Self-Organizing Systems Biological Physics |
| url | https://arxiv.org/abs/2411.18103 |