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作者单位:Amit Vutha (1) Martin Golubitsky (2)
1. Department of Mathematics, The Ohio State University, Columbus, OH, 43210, USA 2. Mathematical Biosciences Institute, The Ohio State University, Columbus, OH?, 43210, USA
刊物类别:Mathematics and Statistics
刊物主题:Economics Communications Engineering and Networks Operations Research and Mathematical Programming Game Theory, Economics, Social and Behavioral Sciences Game Theory and Mathematical Methods
出版者:Birkh盲user Boston
ISSN:2153-0793
文摘
We study adaptive dynamics strategy?functions by defining a form of equivalence that preserves key properties of these functions near singular points (such as whether or not a singularity is an evolutionary or a convergent stable strategy). Specifically, we compute and classify normal forms and low codimension universal unfoldings of these functions. These calculations lead to a classification of local pairwise invasibility plots that can be expected in systems with two parameters. This problem is complicated because the allowable coordinate changes at such points are restricted by the specific nature of strategy?functions; hence the needed singularity theory is not the standard one. We also show how to use the singularity theory results to help study a specific adaptive game: a generalized hawk—dove game studied previously by Dieckmann and Metz.