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Continuous Approximation of Dynamical Systems with Randomly Matched Individuals
Biologists and economists have analyzed populations in which each individual interacts with randomly selected individuals. Because random matching generates a very complicated stochastic process, biologists and economists frequently approximate the population dynamics by a deterministic process. Thi...
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Published in: | Journal of economic theory 1995-08, Vol.66 (2), p.615-625 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Biologists and economists have analyzed populations in which each individual interacts with randomly selected individuals. Because random matching generates a very complicated stochastic process, biologists and economists frequently approximate the population dynamics by a deterministic process. This paper examines the limit of random matching schemes as the population grows, matches occur very frequently, and the proportion of the population paired in a matching becomes very small. In the limit, the population evolves according to a differential equation. The proof of convergence depends either on the existence of a global attractor or an finiteness of the time horizon.
Journal of Economic Literature Classification Numbers: C73, C78, D83. |
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ISSN: | 0022-0531 1095-7235 |
DOI: | 10.1006/jeth.1995.1060 |