Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-58136
Barbour, A D; Luzcak, M J (2012). A law of large numbers approximation for Markov population processes with countably many types. Probability Theory and Related Fields, 153(3-4):727-757.
| Accepted Version PDF (Version 1) 318Kb | |
| Accepted Version PDF (Version 2) 300Kb | |
| Accepted Version PDF (Version 3) 300Kb |
Abstract
When modelling metapopulation dynamics, the influence of a single patch on the metapopulation depends on the number of individuals in the patch. Since the population size has no natural upper limit, this leads to systems in which there are countably infinitely many possible types of individual. Analogous considerations apply in the transmission of parasitic diseases. In this paper, we prove a law of large numbers for quite general systems of this kind, together with a rather sharp bound on the rate of convergence in an appropriately chosen weighted ℓ 1 norm.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Mathematics |
| DDC: | 510 Mathematics |
| Language: | English |
| Date: | 2012 |
| Deposited On: | 17 Feb 2012 21:02 |
| Last Modified: | 04 May 2013 15:07 |
| Publisher: | Springer |
| ISSN: | 0178-8051 (P) 1432-2064 (E) |
| Additional Information: | The original publication is available at www.springerlink.com |
| Publisher DOI: | 10.1007/s00440-011-0359-2 |
| Related URLs: | http://arxiv.org/abs/1001.0044 |
| WoS Citation Count: | 1 |
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