The diffusion equation for non-Markovian Gaussian stochastic processes

Fuente: arXiv
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Hauptverfasser: Taloni, Alessandro, Pagnini, Gianni, Chechkin, Aleksei
Format: Preprint
Veröffentlicht: 2026
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author Taloni, Alessandro
Pagnini, Gianni
Chechkin, Aleksei
author_facet Taloni, Alessandro
Pagnini, Gianni
Chechkin, Aleksei
contents We derive the exact evolution equation for the probability density function of particle displacements generated by arbitrary Gaussian velocity processes, when neither Markovianity and nor stationarity are assumed. Starting from the characteristic function of the density of the position, we construct a systematic hierarchy of equations based on Wick's theorem, in which the dynamics is governed by sums of geometrically connected Wick contractions. This approach yields a closed non-Markovian diffusion equation that generalizes the Fokker-Planck description and preserves Gaussianity only in the infinite-order limit.
format Preprint
id arxiv_https___arxiv_org_abs_2605_10561
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The diffusion equation for non-Markovian Gaussian stochastic processes
Taloni, Alessandro
Pagnini, Gianni
Chechkin, Aleksei
Statistical Mechanics
We derive the exact evolution equation for the probability density function of particle displacements generated by arbitrary Gaussian velocity processes, when neither Markovianity and nor stationarity are assumed. Starting from the characteristic function of the density of the position, we construct a systematic hierarchy of equations based on Wick's theorem, in which the dynamics is governed by sums of geometrically connected Wick contractions. This approach yields a closed non-Markovian diffusion equation that generalizes the Fokker-Planck description and preserves Gaussianity only in the infinite-order limit.
title The diffusion equation for non-Markovian Gaussian stochastic processes
topic Statistical Mechanics
url https://arxiv.org/abs/2605.10561