Nonlinear stability for a two-dimensional Fokker-Planck equation with partial diffusion in neuroscience

Abstract The primary objective of this paper is to investigate the large-time asymptotic behaviour of a two-dimensional nonlinear Fokker–Planck equation, characterized by partial diffusion and pulse dynamics, arising in mathematical neuroscience. We prove that, within a weakly nonlinear regime, the solution to the evolution problem converges exponentially fast toward a unique stationary state. As a prerequisite for this stability analysis, we first prove the existence, uniqueness, and regularity of weak solutions to the corresponding stationary problem under weak connectivity. To address the analytical challenges introduced by the nonlinear terms in the long-term dynamics, our methodology combines the Doeblin–Harris framework for non-autonomous linear equations with perturbation theory. These theoretical findings are further supported by numerical simulations illustrating the convergence properties of the model.

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Publication Details

Journal
Nonlinearity
Published
2026-03-13
DOI
https://doi.org/10.1088/1361-6544/ae4cec
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00
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article

Nonlinear stability for a two-dimensional Fokker-Planck equation with partial diffusion in neuroscience

Qingyou He, Delphine Salort, Elena Ambrogi
Nonlinearity
stochastic dynamics and bifurcation
article

Nonlinear stability for a two-dimensional Fokker-Planck equation with partial diffusion in neuroscience

Qingyou He, Delphine Salort, Elena Ambrogi
article en

Abstract

Abstract The primary objective of this paper is to investigate the large-time asymptotic behaviour of a two-dimensional nonlinear Fokker–Planck equation, characterized by partial diffusion and pulse dynamics, arising in mathematical neuroscience. We prove that, within a weakly nonlinear regime, the solution to the evolution problem converges exponentially fast toward a unique stationary state. As a prerequisite for this stability analysis, we first prove the existence, uniqueness, and regularity of weak solutions to the corresponding stationary problem under weak connectivity. To address the analytical challenges introduced by the nonlinear terms in the long-term dynamics, our methodology combines the Doeblin–Harris framework for non-autonomous linear equations with perturbation theory. These theoretical findings are further supported by numerical simulations illustrating the convergence properties of the model.

NonlinearityVol. 39(3)
Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), Laboratoire Jacques-Louis Lions (FR), University of Bologna (IT)
Openalex Percentile: Top 99%
stochastic dynamics and bifurcation
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