Saved in:
Bibliographic Details
Main Authors: Abril-Bermúdez, F. S., Quimbay, C. J., Trinidad-Segovia, J. E., Sánchez-Granero, M. A
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.01387
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910858956767232
author Abril-Bermúdez, F. S.
Quimbay, C. J.
Trinidad-Segovia, J. E.
Sánchez-Granero, M. A
author_facet Abril-Bermúdez, F. S.
Quimbay, C. J.
Trinidad-Segovia, J. E.
Sánchez-Granero, M. A
contents This paper introduces a comprehensive extension of the path integral formalism to model stochastic processes with arbitrary multiplicative noise. To do so, Itô diffusive process is generalized by incorporating a multiplicative noise term $(η(t))$ that affects the diffusive coefficient in the stochastic differential equation. Then, using the Parisi-Sourlas method, we estimate the transition probability between states of a stochastic variable $(X(t))$ based on the cumulant generating function $(\mathcal{K}_η)$ of the noise. A parameter $γ\in[0,1]$ is introduced to account for the type of stochastic calculation used and its effect on the Jacobian of the path integral formalism. Next, the Feynman-Kac functional is then employed to derive the Fokker-Planck equation for generalized Itô diffusive processes, addressing issues with higher-order derivatives and ensuring compatibility with known functionals such as Onsager-Machlup and Martin-Siggia-Rose-Janssen-De Dominicis in the white noise case. The general solution for the Fokker-Planck equation is provided when the stochastic drift is proportional to the diffusive coefficient and $\mathcal{K}_η$ is scale-invariant. Finally, the Brownian motion ($BM$), the geometric Brownian motion ($GBM$), the Levy $α$-stable flight ($LF(α)$), and the geometric Levy $α$-stable flight ($GLF(α)$) are simulated with thresholds, providing analytical comparisons for the probability density, Shannon entropy, and entropy production rate. It is found that restricted $BM$ and restricted $GBM$ exhibit quasi-steady states since the rate of entropy production never vanishes. It is also worth mentioning that in this work the $GLF(α)$ is defined for the first time in the literature and it is shown that its solution is found without the need for Itô's lemma.
format Preprint
id arxiv_https___arxiv_org_abs_2410_01387
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Path Integral for Multiplicative Noise: Generalized Fokker-Planck Equation and Entropy Production Rate in Stochastic Processes With Threshold
Abril-Bermúdez, F. S.
Quimbay, C. J.
Trinidad-Segovia, J. E.
Sánchez-Granero, M. A
Mathematical Physics
This paper introduces a comprehensive extension of the path integral formalism to model stochastic processes with arbitrary multiplicative noise. To do so, Itô diffusive process is generalized by incorporating a multiplicative noise term $(η(t))$ that affects the diffusive coefficient in the stochastic differential equation. Then, using the Parisi-Sourlas method, we estimate the transition probability between states of a stochastic variable $(X(t))$ based on the cumulant generating function $(\mathcal{K}_η)$ of the noise. A parameter $γ\in[0,1]$ is introduced to account for the type of stochastic calculation used and its effect on the Jacobian of the path integral formalism. Next, the Feynman-Kac functional is then employed to derive the Fokker-Planck equation for generalized Itô diffusive processes, addressing issues with higher-order derivatives and ensuring compatibility with known functionals such as Onsager-Machlup and Martin-Siggia-Rose-Janssen-De Dominicis in the white noise case. The general solution for the Fokker-Planck equation is provided when the stochastic drift is proportional to the diffusive coefficient and $\mathcal{K}_η$ is scale-invariant. Finally, the Brownian motion ($BM$), the geometric Brownian motion ($GBM$), the Levy $α$-stable flight ($LF(α)$), and the geometric Levy $α$-stable flight ($GLF(α)$) are simulated with thresholds, providing analytical comparisons for the probability density, Shannon entropy, and entropy production rate. It is found that restricted $BM$ and restricted $GBM$ exhibit quasi-steady states since the rate of entropy production never vanishes. It is also worth mentioning that in this work the $GLF(α)$ is defined for the first time in the literature and it is shown that its solution is found without the need for Itô's lemma.
title Path Integral for Multiplicative Noise: Generalized Fokker-Planck Equation and Entropy Production Rate in Stochastic Processes With Threshold
topic Mathematical Physics
url https://arxiv.org/abs/2410.01387