Approximate solutions of randomized non-autonomous complete linear differential equations via probability density functions

Solving a random differential equation means to obtain an exact or approximate expression for the solution stochastic process, and to compute its statistical properties, mainly the mean and the variance functions. However, a major challenge is the computation of the probability density function...

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Bibliographic Details
Main Authors: Julia Calatayud, Juan Carlos Cortes, Marc Jornet
Format: Article
Language:English
Published: Texas State University 2019-07-01
Series:Electronic Journal of Differential Equations
Subjects:
Online Access:http://ejde.math.txstate.edu/Volumes/2019/85/abstr.html