An Ergodic Theorem for Evolution in a Random Environment
نویسنده
چکیده
Let w, w,2 and w2 be the fitnesses of genotypes A,A, AlA2 and A2A2 in an infinite diploid population, and let p. be the A, gene frequency in the nth generation. If fitness varies independently from generation to generation, then pn is a Markov process with a continuum of states. If E[ln(w/w2,)] <0 for i = 1,2, then there is a unique stationary probability, and the distribution of p. converges to it as n oo. GENETIC MODELS; RANDOM ENVIRONMENTS; MARKOV PROCESSES; ERGODIC THEORY
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تاریخ انتشار 2008