First passage time distribution of active thermal particles in potentials

We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to both white and coloured noise. This class of non-Markovian processes is at the centre of the study of thermal active matter, that is self-pr...

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Published inarXiv.org
Main Authors Walter, Benjamin, Pruessner, Gunnar, Salbreux, Guillaume
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 11.02.2021
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ISSN2331-8422
DOI10.48550/arxiv.2006.00116

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Abstract We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to both white and coloured noise. This class of non-Markovian processes is at the centre of the study of thermal active matter, that is self-propelled particles subject to diffusion. The perturbation theory about the Markov process considers the effect of self-propulsion to be small compared to that of thermal fluctuations. To illustrate our method, we apply it to the case of active thermal particles (i) in a harmonic trap (ii) on a ring. For both we calculate the first-order correction of the moment-generating function of first-passage times, and thus to all its moments. Our analytical results are compared to numerics.
AbstractList We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to both white and coloured noise. This class of non-Markovian processes is at the centre of the study of thermal active matter, that is self-propelled particles subject to diffusion. The perturbation theory about the Markov process considers the effect of self-propulsion to be small compared to that of thermal fluctuations. To illustrate our method, we apply it to the case of active thermal particles (i) in a harmonic trap (ii) on a ring. For both we calculate the first-order correction of the moment-generating function of first-passage times, and thus to all its moments. Our analytical results are compared to numerics.
Phys. Rev. Research 3, 013075 (2021) We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to both white and coloured noise. This class of non-Markovian processes is at the centre of the study of thermal active matter, that is self-propelled particles subject to diffusion. The perturbation theory about the Markov process considers the effect of self-propulsion to be small compared to that of thermal fluctuations. To illustrate our method, we apply it to the case of active thermal particles (i) in a harmonic trap (ii) on a ring. For both we calculate the first-order correction of the moment-generating function of first-passage times, and thus to all its moments. Our analytical results are compared to numerics.
Author Salbreux, Guillaume
Pruessner, Gunnar
Walter, Benjamin
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  givenname: Guillaume
  surname: Salbreux
  fullname: Salbreux, Guillaume
BackLink https://doi.org/10.48550/arXiv.2006.00116$$DView paper in arXiv
https://doi.org/10.1103/PhysRevResearch.3.013075$$DView published paper (Access to full text may be restricted)
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Snippet We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic one-dimensional processes which are subject to...
Phys. Rev. Research 3, 013075 (2021) We introduce a perturbative method to calculate all moments of the first-passage time distribution in stochastic...
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Markov processes
Mathematical analysis
Perturbation theory
Physics - Statistical Mechanics
Queuing theory
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