
Accession Number : ADA170649
Title : Multiplicative Stochastic Processes Involving the TimeDerivative of a Markov Process.
Descriptive Note : Technical rept.,
Corporate Author : STATE UNIV OF NEW YORK AT BUFFALO DEPT OF CHEMISTRY
Personal Author(s) : Arnoldus,Henk F ; George,Thomas F
PDF Url : ADA170649
Report Date : Jul 1986
Pagination or Media Count : 31
Abstract : The characteristic functional of the derivative phi(t) of a Markov process phi(t) and the related multiplicative process sigma(t), which obeys the stochastic differential equation isigma(t) = (A + phi(t)B)sigma(t), have been studied. Exact equations for the marginal characteristic functional and the marginal average of sigma(t) are derived. The first equation is applied to obtain a set of equations for the marginal moments of phi(t) in terms of the prescribed properties of phi(t). It is illustrated by an example how these equations can be solved, and it is shown in general that phi(t) is deltacorrelated, with a smooth background. The equation of motion for the marginal average of sigma(t) is solved for various cases, and it is shown how closedform analytical expressions for the average sigma(t) can be obtained. (Author)
Descriptors : *MARKOV PROCESSES, *DERIVATIVES(MATHEMATICS), HOMOGENEITY, DIFFERENTIAL EQUATIONS, EQUATIONS OF MOTION, PROBABILITY DISTRIBUTION FUNCTIONS, MULTIPLICATION, FOURIER TRANSFORMATION
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE