Split-step -methods for stochastic age-dependent population equations with Markovian switching

In this paper, a class of split-step [thetas]-methods for solving stochastic age-dependent population equations with Markovian switching is constructed. The main aim of this paper is to investigate the convergence of the split-step [thetas]-methods of stochastic age-dependent population equations wi...

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Veröffentlicht in:	Nonlinear analysis: real world applications 2012-06, Vol.13 (3), p.1334-1345
1. Verfasser:	Rathinasamy, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Construction Convergence Illustrations Mathematical analysis Nonlinearity Stochasticity Switching
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description	In this paper, a class of split-step [thetas]-methods for solving stochastic age-dependent population equations with Markovian switching is constructed. The main aim of this paper is to investigate the convergence of the split-step [thetas]-methods of stochastic age-dependent population equations with Markovian switching. It is proved that the split-step [thetas]-methods converge to the analytical solutions of the equations under given conditions. An example is given for illustration.
doi_str_mv	10.1016/j.nonrwa.2011.10.010
format	Article
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source	Elsevier ScienceDirect Journals Complete
subjects	Construction Convergence Illustrations Mathematical analysis Nonlinearity Stochasticity Switching
title	Split-step -methods for stochastic age-dependent population equations with Markovian switching
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