Titlebook: Evolution of Biological Systems in Random Media: Limit Theorems and Stability; Anatoly Swishchuk,Jianhong Wu Book 2003 Springer Science+Bu

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antecedence

Enzymes and Signal Amplification Systems between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable approximation. Here, we consider both discrete and continuous logistic growth model (LGM).

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Logistic Growth Models, between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable approximation. Here, we consider both discrete and continuous logistic growth model (LGM).

緩解

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Processes

https://doi.org/10.1007/978-3-642-67234-7Another point of view can be taken toward the Fisher-Wright model, considered in Section 4.1.2.B. This approach is in the spirit of .

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圍巾

Random Media,This chapter is devoted to the description of random environment, in the form of a Markov chain, a Markov renewal or a semi-Markov process, and its ergodic and martingale properties. We introduce the notions of diffusion processes, semigroups and their generators, and consider the merging property of random environment.

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Epidemic Models,In this Chapter, we study .. We start with deterministic models and then concentrated on their stochastic analogue (in random media), and consider limit theorems and stochastic stability in averaging and diffusion approximation schemes.

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Branching Models,Another point of view can be taken toward the Fisher-Wright model, considered in Section 4.1.2.B. This approach is in the spirit of .