scholarly journals Exact solution to the cauchy problem for a generalized “linear” vectorial Fokker-Planck equation: Algebraic approach

2002 ◽  
Vol 65 (6) ◽  
pp. 1015-1018
Author(s):  
A. A. Donkov ◽  
A. D. Donkov ◽  
E. I. Grancharova
1997 ◽  
Vol 12 (01) ◽  
pp. 165-170 ◽  
Author(s):  
A. A. Donkov ◽  
A. D. Donkov ◽  
E. I. Grancharova

By employing algebraic techniques we find the exact solutions of the Cauchy problem for two equations, which may be considered as n-dimensional generalization of the famous Fokker–Planck equation. Our approach is a combination of the disentangling techniques of R. Feynman with operational method developed in modern functional analysis in particular in the theory of partial differential equations. Our method may be considered as a generalization of the M. Suzuki method of solving the Fokker–Planck equation.


2012 ◽  
Vol 26 (01) ◽  
pp. 1250010 ◽  
Author(s):  
YURI G. GORDIENKO

The rate equation for exchange-driven aggregation of monomers between clusters of size n by power-law exchange rate (~ nα), where detaching and attaching processes were considered separately, is reduced to Fokker–Planck equation. Its exact solution was found for unbiased aggregation and agreed with asymptotic conclusions of other models. Asymptotic transitions were found from exact solution to Weibull/normal/exponential distribution, and then to power law distribution. Intermediate asymptotic size distributions were found to be functions of exponent α and vary from normal (α = 0) through Weibull (0 < α < 1) to exponential (α =1) ones, that gives the new system for linking these basic statistical distributions. Simulations were performed for the unbiased aggregation model on the basis of the initial rate equation without simplifications used for reduction to Fokker–Planck equation. The exact solution was confirmed, shape and scale parameters of Weibull distribution (for 0 < α < 1) were determined by analysis of cumulative distribution functions and mean cluster sizes, which are of great interest, because they can be measured in experiments and allow to identify details of aggregation kinetics (like α). In practical sense, scaling analysis of evolving series of aggregating cluster distributions can give much more reliable estimations of their parameters than analysis of solitary distributions. It is assumed that some apparent power and fractal laws observed experimentally may be manifestations of such simple migration-driven aggregation kinetics even.


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