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N-dimensional nonlinear Fokker-Planck equation with time-dependent coefficients
L C Malacarne1, R S Mendes, I T Pedron
1Departamento de Física, Universidade Estadual de Maringá, Avenida Colombo 5790, 87020-900 Maringá, PR, Brazil. lcmala@dfi.uem.br
Summary
This study presents an exact solution for a time-dependent nonlinear Fokker-Planck equation using generalized Gaussian functions. The findings reveal that altering coefficient time-dependence can yield diverse diffusive processes, including normal and anomalous diffusion.
Area of Science:
- Statistical physics
- Nonlinear dynamics
- Partial differential equations
Background:
- Fokker-Planck equations model complex systems, but time-dependent coefficients present analytical challenges.
- Generalized Gaussian functions and Tsallis statistics offer frameworks for non-equilibrium systems.
Purpose of the Study:
- To derive an exact solution for an N-dimensional nonlinear Fokker-Planck equation with time-dependent coefficients.
- To explore the relationship between coefficient time-dependence and the resulting diffusive behavior.
- To connect the solution to Tsallis statistics for broader applicability.
Main Methods:
- Investigated an N-dimensional nonlinear Fokker-Planck equation with time-varying coefficients.
- Utilized generalized Gaussian functions to construct an exact analytical solution.
- Analyzed drift-controlled and source terms within the equation.
Main Results:
- An exact solution was obtained, expressed via generalized Gaussian functions linked to Tsallis statistics.
- Demonstrated that varying the time dependence of coefficients generates a spectrum of diffusive processes.
- Confirmed the capability to produce both normal and anomalous diffusion by manipulating coefficient dynamics.
Conclusions:
- The study provides a novel analytical solution for a complex class of Fokker-Planck equations.
- Highlights the crucial role of time-dependent coefficients in shaping diffusion characteristics.
- Offers a framework for understanding and modeling diverse diffusive phenomena in physical systems.