| Keyword search (4,164 papers available) | ![]() |
"J Math Biol" Category Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Diffusion dynamics on the coexistence subspace in a stochastic evolutionary game | Popovic L; Peuckert L; | 32025789 MATHSTATS |
| 2 | Topology and inference for Yule trees with multiple states. | Popovic L, Rivas M | 27009067 MATHSTATS |
| Title: | Diffusion dynamics on the coexistence subspace in a stochastic evolutionary game | ||||
| Authors: | Popovic L, Peuckert L | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/32025789/ | ||||
| DOI: | 10.1007/s00285-020-01476-z | ||||
| Publication: | Journal of mathematical biology | ||||
| Keywords: | Coexistence; Degenerate diffusion; Diffusion approximation; Extinction probability; Extinction time; Random environment; Stochastic evolutionary game; | ||||
| PMID: | 32025789 | Category: | J Math Biol | Date Added: | 2020-02-07 |
| Dept Affiliation: |
MATHSTATS
1 Department of Mathematics and Statistics, Concordia University, Montreal, QC, H3G 1M8, Canada. lpopovic@mathstat.concordia.ca. 2 Department of Mathematics and Statistics, Concordia University, Montreal, QC, H3G 1M8, Canada. |
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Description: |
Frequency-dependent selection reflects the interaction between different species as they battle for limited resources in their environment. In a stochastic evolutionary game the species relative fitnesses guides the evolutionary dynamics with fluctuations due to random drift. A selection advantage which depends on a changing environment will introduce additional possibilities for the dynamics. We analyse a simple model in which a random environment allows competing species to coexist for a long time before a fixation of a single species happens. In our analysis we use stability in a linear combination of competing species to approximate the stochastic dynamics of the system by a diffusion on a one dimensional co-existence region. Our method significantly simplifies approximating the probability of first extinction and its expected time, and demonstrates a rigorous model reduction technique for evaluating quasistationary properties of stochastic evolutionary dynamics. |



