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arxiv: 1103.1184 · v2 · pith:JLYLAWXRnew · submitted 2011-03-07 · ❄️ cond-mat.stat-mech

Stochastic dynamical theory of power-law distributions induced by multiplicative noise

classification ❄️ cond-mat.stat-mech
keywords distributionspower-lawequationgeneralizednoisedistributionfrictioninduced
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The two-variable Langevin equations, modeling the Brownian motion of a particle moving in a potential and leading to the Maxwell-Boltzmann distribution of the corresponding Fokker-Planck equation, are shown to give rise to types of stationary power-law distributions through the multiplicative noise. The power-law distributions induced by this inhomogeneous noise are proved to be a result of that the relation of diffusion to friction depends on the energy. We understand the conditions under which the power-law distributions are produced and how they are produced in systems away from equilibrium, and hence derive a generalized fluctuation-dissipation theorem. This leads to a generalized Klein-Kramers equation, and a generalized Smoluchowski equation for the particle moving in a strong friction medium, whose stationary-state solutions are exactly Tsallis distribution.

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