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PhysRevResearch.4.043197.pdf (2.6 MB)

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

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journal contribution
posted on 2023-01-09, 14:28 authored by Benjamin Walter, Gunnar Pruessner, Guillaume Salbreux
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.


Crick (Grant ID: 10317, Grant title: Salbreux FC001317)


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