Matsuda H, Ishii K
J Math Biol. 1981 Feb;11(2):119-41. doi: 10.1007/BF00275437.
A general method is given to obtain a stationary distribution in a "stochastic" one-dimensional dynamical system in which an environmental parameter specifying the dynamical system is a stationary Markov process with only two states. By applying this method, the exact stationary gene frequency distribution is obtained for a genic selection model in the environment fluctuating between two distinct states. Several limiting stationary distributions are obtained therefrom, and one of them is shown to coincide with a stationary solution of the diffusion equation heuristically derived by us for more general cases. Discussion is given on the relationship between the diffusion equations obtained by various authors starting from discrete, non-overlapping generation models.
给出了一种在“随机”一维动力系统中获得平稳分布的一般方法,其中指定动力系统的环境参数是一个只有两个状态的平稳马尔可夫过程。通过应用该方法,得到了在两种不同状态之间波动的环境中基因选择模型的精确平稳基因频率分布。由此获得了几个极限平稳分布,其中之一被证明与我们为更一般情况启发式推导的扩散方程的平稳解一致。讨论了不同作者从离散、不重叠世代模型出发得到的扩散方程之间的关系。