Literature DB >> 17123084

Asymptotic stability of equilibria of selection-mutation equations.

Angel Calsina1, Sílvia Cuadrado.   

Abstract

We study local stability of equilibria of selection-mutation equations when mutations are either very small in size or occur with very low probability. The main mathematical tools are the linearized stability principle and the fact that, when the environment (the nonlinearity) is finite dimensional, the linearized operator at the steady state turns out to be a degenerate perturbation of a known operator with spectral bound equal to 0. An example is considered where the results on stability are applied.

Mesh:

Year:  2007        PMID: 17123084     DOI: 10.1007/s00285-006-0056-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  5 in total

1.  On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory.

Authors:  O Diekmann; M Gyllenberg; H Huang; M Kirkilionis; J A Metz; H R Thieme
Journal:  J Math Biol       Date:  2001-08       Impact factor: 2.259

2.  Small mutation rate and evolutionarily stable strategies in infinite dimensional adaptive dynamics.

Authors:  Angel Calsina; Sílvia Cuadrado
Journal:  J Math Biol       Date:  2003-08-20       Impact factor: 2.259

3.  Competitive exclusion and coexistence for a quasilinear size-structured population model.

Authors:  Azmy S Ackleh; Keng Deng; Xubo Wang
Journal:  Math Biosci       Date:  2004-12-15       Impact factor: 2.144

4.  Measure dynamics on a one-dimensional continuous trait space: theoretical foundations for adaptive dynamics.

Authors:  Ross Cressman; Josef Hofbauer
Journal:  Theor Popul Biol       Date:  2005-02       Impact factor: 1.570

5.  A stochastic model concerning the maintenance of genetic variability in quantitative characters.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1965-09       Impact factor: 11.205

  5 in total
  1 in total

1.  Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments.

Authors:  Aleksandra Ardaševa; Robert A Gatenby; Alexander R A Anderson; Helen M Byrne; Philip K Maini; Tommaso Lorenzi
Journal:  J Math Biol       Date:  2019-10-22       Impact factor: 2.259

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.