Literature DB >> 18999395

Population extinction in a time-modulated environment.

Michael Assaf1, Alex Kamenev, Baruch Meerson.   

Abstract

The extinction time of an isolated population can be exponentially reduced by a periodic modulation of its environment. We investigate this effect using, as an example, a stochastic branching-annihilation process with a time-dependent branching rate. The population extinction is treated in eikonal approximation, where it is described as an instanton trajectory of a proper reaction Hamiltonian. The modulation of the environment perturbs this trajectory and synchronizes it with the modulation phase. We calculate the corresponding change in the action along the instanton using perturbation techniques supported by numerical calculations. The techniques include a first-order theory with respect to the modulation amplitude, a second-order theory in the spirit of the Kapitsa pendulum effect, and adiabatic theory valid for low modulation frequencies.

Year:  2008        PMID: 18999395     DOI: 10.1103/PhysRevE.78.041123

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Converging towards the optimal path to extinction.

Authors:  Ira B Schwartz; Eric Forgoston; Simone Bianco; Leah B Shaw
Journal:  J R Soc Interface       Date:  2011-05-13       Impact factor: 4.118

2.  The Impact of Dominance on Adaptation in Changing Environments.

Authors:  Archana Devi; Kavita Jain
Journal:  Genetics       Date:  2020-07-28       Impact factor: 4.562

3.  On the stochastic SIS epidemic model in a periodic environment.

Authors:  Nicolas Bacaër
Journal:  J Math Biol       Date:  2014-09-10       Impact factor: 2.259

4.  Maximal sensitive dependence and the optimal path to epidemic extinction.

Authors:  Eric Forgoston; Simone Bianco; Leah B Shaw; Ira B Schwartz
Journal:  Bull Math Biol       Date:  2010-03-30       Impact factor: 1.758

5.  Temperature control of fimbriation circuit switch in uropathogenic Escherichia coli: quantitative analysis via automated model abstraction.

Authors:  Hiroyuki Kuwahara; Chris J Myers; Michael S Samoilov
Journal:  PLoS Comput Biol       Date:  2010-03-26       Impact factor: 4.475

6.  Control of Stochastic and Induced Switching in Biophysical Networks.

Authors:  Daniel K Wells; William L Kath; Adilson E Motter
Journal:  Phys Rev X       Date:  2015-09-16       Impact factor: 15.762

  6 in total

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