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Linearization Principle: The Geometric Origin of Nonlinear Fokker-Planck Equations

Hiroki Suyari

Abstract

Anomalous diffusion and power-law distributions are observed in various complex systems. To provide a consistent dynamical foundation for these phenomena, we present a geometric derivation of the nonlinear Fokker-Planck equation, starting from the growth law $dy/dx = y^q$. By identifying the $q$-logarithm as the natural coordinate system of the state space, we construct a thermodynamic framework where the drift term remains linear in the probability density, preserving the standard form of the Einstein relation. We show the duality between the dynamic index $q$ and the thermodynamic index $2-q$: the stationary state is a $q$-Gaussian distribution that minimizes a free energy functional defined by a generalized entropy of index $2-q$. We prove the $H$-theorem for the derived equation and demonstrate its application to the harmonic oscillator and the free particle. This framework describes anomalous diffusion without relying on ad-hoc constraints or phenomenological nonlinear drift forces.

Linearization Principle: The Geometric Origin of Nonlinear Fokker-Planck Equations

Abstract

Anomalous diffusion and power-law distributions are observed in various complex systems. To provide a consistent dynamical foundation for these phenomena, we present a geometric derivation of the nonlinear Fokker-Planck equation, starting from the growth law . By identifying the -logarithm as the natural coordinate system of the state space, we construct a thermodynamic framework where the drift term remains linear in the probability density, preserving the standard form of the Einstein relation. We show the duality between the dynamic index and the thermodynamic index : the stationary state is a -Gaussian distribution that minimizes a free energy functional defined by a generalized entropy of index . We prove the -theorem for the derived equation and demonstrate its application to the harmonic oscillator and the free particle. This framework describes anomalous diffusion without relying on ad-hoc constraints or phenomenological nonlinear drift forces.
Paper Structure (18 sections, 27 equations, 1 figure)

This paper contains 18 sections, 27 equations, 1 figure.

Figures (1)

  • Figure 1: Comparison of stationary distributions $p_{st}(x)$ for a particle in a harmonic potential. The curves are normalized to unity at $x=0$. The solid black line represents the standard Gaussian distribution ($q=1$). The dot-dashed red line shows a heavy-tailed $q$-Gaussian ($q=2.0$), typical for super-diffusive systems. The dashed blue line shows a $q$-Gaussian with compact support ($q=0.5$), typical for sub-diffusive systems.