Random mapping based on a genetic model
We consider the discrete-time dynamics of a one-locus, two-allele (two-gene) model of a genetic population experiencing natural selection in a random environment. The dynamics is described by a stochastic recursion relation. We construct hierarchies of upper and lower bounds for the nth generation average gene frequency 〈Xn〉. The bounds provide very sharp estimates of 〈Xn〉 (n = 1,2,…) and may be interpreted in the spirit of mean-field and spin-cluster approximations. We also find a phase boundary in the space of viability parameters and environment probabilities. On one side of the boundary one of the two genes eventually becomes extinct (1 - 〈Xn〉å 0 for n å ∞); whereas, on the other side of the boundary both genes survive. For the special case where the environment is restricted to be a two-valued random variable, the average gene frequency 〈Xn〉 is, in principle, derivable from a partition function for an n-spin, Ising model.
Year of publication: |
1979
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Authors: | Falk, H. ; Ventevogel, W.J. |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 95.1979, 2, p. 191-207
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Publisher: |
Elsevier |
Saved in:
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