IJPAM: Volume 80, No. 1 (2012)
IN A CONTINUOUS TIME DYNAMICAL SYSTEM



Center for Quantitative Sciences in Biomedicine
North Carolina State University
Raleigh, NC 27695-8212, USA
Abstract. Uncertainty propagation and quantification has gained considerable research attention during recent years. In this paper we consider uncertainty propagation and quantification in a continuous-time dynamical system governed by ordinary differential equations with uncertain/stochastic components. Specifically, we focus on the time evolution of probability density functions of the resulting stochastic processes, and discuss their applications in different fields with particular focus on population dynamics. In addition, we compare the difference in the stochastic processes resulting from differential equations with different types of random inputs, and discuss the connections among them.
Received: September 7, 2012
AMS Subject Classification: stochastic differential equations, random differential equations, probability density functions, Fokker-Planck equation, Liouville equation, structured population model, growth rate distributed structured population model, Markov operators and semigroups, pointwise equivalence
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Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2012
Volume: 80
Issue: 1