4.7 Article

Interpolation solution in generalized stochastic exponential population growth model

期刊

APPLIED MATHEMATICAL MODELLING
卷 36, 期 3, 页码 1023-1033

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2011.07.061

关键词

Exponential population growth model; Brownian motion process; Ito integral; Ito processes; Ito formula

资金

  1. Islamic Azad University of Karaj Branch

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In this paper, first we consider model of exponential population growth, then we assume that the growth rate at time t is not completely definite and it depends on some random environment effects. For this case the stochastic exponential population growth model is introduced. Also we assume that the growth rate at time t depends on many different random environment effect, for this case the generalized stochastic exponential population growth model is introduced. The expectations and variances of solutions are obtained. For a case study, we consider the population growth of Iran and obtain the output of models for this data and predict the population individuals in each year. (C) 2011 Elsevier Inc. All rights reserved.

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