Author_Institution :
Fac. of Aerosp. Eng., Texas A&M Univ., College Station, TX
Abstract :
In this paper, we present a homotopic Galerkin approach to the solution of the Fokker-Planck-Kolmogorov equation. We argue that the ideal Hilbert space to approximate the exact solution, psi* is the space L2(dPsi*) where dPsi* is the probability measure induced on Rn by the solution psi* itself. We show that given an initial approximation of the exact solution which is sufficiently close to the exact solution, we can obtain the exact solution iteratively by propagating the solution over sufficiently small time intervals using the Galerkin projection method. Further, we show that given a family of dynamical systems, DP, indexed by the homotopy parameter p isin [0,1], where the dynamical system corresponding to p = 0 is a system whose associated Fokker-Planck equation can be solved and p = 1 is the dynamical system of interest, and such that the associated solutions to the corresponding Fokker-Planck equations can be changed smoothly by slowly varying the homotopy parameter, the exact solution can be obtained recursively, using the Galerkin projection method, starting with the solution to the Fokker-Planck equation associated with the dynamical system D0
Keywords :
Fokker-Planck equation; Galerkin method; Hilbert spaces; partial differential equations; probability; stochastic systems; Fokker-Planck-Kolmogorov equation; Galerkin projection method; Hilbert space; dynamical systems; homotopic Galerkin approach; probability measure; stochastic dynamical system; Aerospace engineering; Differential equations; Hilbert space; Indium tin oxide; Integral equations; Iterative methods; Moment methods; Partial differential equations; Probability density function; Stochastic systems;