A Practical Introduction to Stochastic Differential Equations in Mathematical Biology

Edward Allen (June 19, 2012)

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Abstract

Properties of the Wiener process are reviewed and stochastic integration is explained. Stochastic diļ¬€erential equations are introduced and some of their properties are described. Equivalence of SDE systems is explained. Commonly used numerical procedures are discussed for computationally solving systems of stochastic diļ¬€erential equations. A procedure is described for deriving ItĖ†o stochastic diļ¬€erential equations from associated discrete stochastic models for randomly-varying problems in biology. The SDEs are derived from basic principles, i.e., from the changes in the system which
occur in a small time interval. Several examples illustrate the procedure. In particular, stochastic diļ¬€erential equations are derived for predator-prey, competition, and epidemic problems.