Stationary measures for some Markov chain models in ecology and economics

Krishna Athreya ()

Economic Theory, 2003, vol. 23, issue 1, 107-122

Abstract: Let $F \equiv \{f : f : [0, \infty) \rightarrow [0, \infty), f (0)=0, f$ continuous, $\lim\limits_{x \downarrow 0} \frac{f(x)}{x}=C$ exists in $(0, \infty), 0 < g (x) \equiv \frac{f(x)}{C x} < 1$ for x in $(0, \infty)\}$ . Let $\{f_j\}_{j \geq 1}$ be an i.i.d. sequence from F and X 0 be a nonnegative random variable independent of $\{f_j\}_{j \geq 1}$ . Let $\{X_n\}_{n \geq 0}$ be the Markov chain generated by the iteration of random maps $\{f_j\}_{j \geq 1}$ by $X_{n + 1}=f_{n + 1} (X_n), n \geq 0$ . Such Markov chains arise in population ecology and growth models in economics. This paper studies the existence of nondegenerate stationary measures for {X n }. A set of necessary conditions and two sets of sufficient conditions are provided. There are some convergence results also. The present paper is a generalization of the work on random logistics maps by Athreya and Dai (2000). Copyright Springer-Verlag Berlin/Heidelberg 2003

Keywords: Population models; Random maps; Markov chains; Stationary measures. (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/s00199-002-0352-1

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