Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes

We provide a perturbative framework to calculate extreme events of non-Markovian processes, by mapping the stochastic process to a two-species reaction-diffusion process in a Doi-Peliti field theory combined with the Martin-Siggia-Rose formalism. This field theory treats interactions and the effect...

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Main Authors: Benjamin Walter, Gunnar Pruessner, Guillaume Salbreux
Format: Article
Language:English
Published: American Physical Society 2022-12-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.043197
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author Benjamin Walter
Gunnar Pruessner
Guillaume Salbreux
author_facet Benjamin Walter
Gunnar Pruessner
Guillaume Salbreux
author_sort Benjamin Walter
collection DOAJ
description We provide a perturbative framework to calculate extreme events of non-Markovian processes, by mapping the stochastic process to a two-species reaction-diffusion process in a Doi-Peliti field theory combined with the Martin-Siggia-Rose formalism. This field theory treats interactions and the effect of external, possibly self-correlated, noise in a perturbation about a Markovian process, thereby providing a systematic, diagrammatic approach to extreme events. We apply the formalism to Brownian motion and calculate its survival probability distribution subject to self-correlated noise.
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spelling doaj.art-6cb1fc2152d44f5b97d9048bc9707a6b2024-04-12T17:27:08ZengAmerican Physical SocietyPhysical Review Research2643-15642022-12-014404319710.1103/PhysRevResearch.4.043197Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processesBenjamin WalterGunnar PruessnerGuillaume SalbreuxWe provide a perturbative framework to calculate extreme events of non-Markovian processes, by mapping the stochastic process to a two-species reaction-diffusion process in a Doi-Peliti field theory combined with the Martin-Siggia-Rose formalism. This field theory treats interactions and the effect of external, possibly self-correlated, noise in a perturbation about a Markovian process, thereby providing a systematic, diagrammatic approach to extreme events. We apply the formalism to Brownian motion and calculate its survival probability distribution subject to self-correlated noise.http://doi.org/10.1103/PhysRevResearch.4.043197
spellingShingle Benjamin Walter
Gunnar Pruessner
Guillaume Salbreux
Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
Physical Review Research
title Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
title_full Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
title_fullStr Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
title_full_unstemmed Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
title_short Field theory of survival probabilities, extreme values, first-passage times, and mean span of non-Markovian stochastic processes
title_sort field theory of survival probabilities extreme values first passage times and mean span of non markovian stochastic processes
url http://doi.org/10.1103/PhysRevResearch.4.043197
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