Lévy flights in evolutionary ecology
详细信息    查看全文
  • 作者:Benjamin Jourdain (1) jourdain@cermics.enpc.fr
    Sylvie Méléard (2) sylvie.meleard@polytechnique.edu
    Wojbor A. Woyczynski (3) waw@case.edu
  • 关键词:Darwinian evolution – Punctuated equilibria – Mutation law with heavy tail – Birth ; death ; mutation ; competition point process – Mutation–selection dynamics – Nonlinear fractional reaction–diffusion equations – Nonlinear superprocesses with fractional diffusion
  • 刊名:Journal of Mathematical Biology
  • 出版年:2012
  • 出版时间:October 2012
  • 年:2012
  • 卷:65
  • 期:4
  • 页码:677-707
  • 全文大小:320.6 KB
  • 参考文献:1. Aldous D (1978) Stopping times and tightness. Ann. Probab. 6: 335–340
    2. Baeumer B, Kovacs M, Meerschaert MM (2007) Fractional reproduction-dispersal equations and heavy tail dispersal kernels. Bull. Math. Biol. 69: 2281–2297
    3. Baeumer B, Kovacs M, Meerschaert MM (2008) Numerical solutions for fractional reaction-diffusion equations. Comput Math Appl 55: 2212–2226
    4. Bichteler K, Gravereaux J-B, Jacod J (1987) Malliavin calculus for processes with jumps. Gordon and Breach Science Publishers, NY
    5. Bolker B, Pacala SW (1997) Using moment equations to understand stochastically driven spatial pattern formation in ecological systems. Theor. Pop. Biol. 52: 179–197
    6. Bürger R (2000) The mathematical theory of selection, recombination, and mutation. Wiley, Chichester
    7. Carr P, Geman H, Madan DB, Yor M (2002) The fine structure of asset returns: an empirical investigation. J Bus 75: 303–325
    8. Champagnat N, Ferrière R, Méléard S (2006) Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models. Theor. Pop. Biol. 69: 297–321
    9. Champagnat N, Ferrière R, Méléard S (2008) From individual stochastic processes to macroscopic models in adaptive evolution. Stoch Models 24(Suppl 1): 2–44
    10. Cohen S, Rosinski J (2007) Gaussian approximation of multivariate Levy processes with applications to simulation of tempered stable processes. Bernoulli 13: 195–210
    11. Del-Castillo-Negrete D, Carreras BA, Lynch VE (2003) Front dynamics in reaction-diffusion systems with Levy flights: a fractional diffusion approach. Phys Rev Lett 91: 018302
    12. Dieckmann U, Law R (2000) Relaxation projections and the method of moments. In: Dieckmann U, Law R, Metz JAJ (eds) The geometry of ecological interactions: simplifying spatial complexity. Cambridge University Press, Cambridge, pp 412–455
    13. Eldredge N, Gould SJ (1985) Punctuated equilibria: an alternative to phyletic gradualism. In: Schopf TJM (ed) Models in paleobiology. San Francisco 1972: Freeman Cooper, pp 82–115. Reprinted in N. Eldredge, Time Frames, Princeton University Press, pp 193–223
    14. Evans SN, Perkins EA (1994) Measure-valued branching diffusions with singular interactions. Can J Math 46: 120–168
    15. Fitzsimmons PJ (1992) On the martingale problem for measure-valued Markov branching processes. Seminar on stochastic processes, vol 91. Birkhaüser, Basel, pp 39–51
    16. Fournier N, Méléard S (2004) A microscopic probabilistic description of a locally regulated population and macroscopic approximations. Ann Appl Probab 14: 1880–1919
    17. Gould SJ, Eldredge N (1977) Punctuated equilibria: the tempo and mode of evolution reconsidered. Paleobiology 3(2): 115–151
    18. Gurney WS, Nisbet RM (1975) The regulation of inhomogeneous populations. J Theor Biol 52: 441–457
    19. Henry BI, Langlands TAM, Wearne SL (2005) Turing pattern formation in fractional activator-inhibitor systems. Phys Rev E 72: 026101
    20. Joffe A, Métivier M (1986) Weak convergence of sequences of semimartingales with applications to multitype branching processes. Adv Appl Probab 18: 20–65
    21. Jourdain B, Méléard S, Woyczynski WA (2008) Nonlinear SDEs driven by Lévy processes and related PDEs. Alea 4: 1–29
    22. Mantegna RN, Stanley HE (1994) Stochastic process with ultraslow convergence to a Gaussian: the truncated Levy flight. Phys Rev Lett 73: 2946–2949
    23. Méléard S, Roelly S (1993) Sur les convergences étroite ou vague de processus à valeurs mesures. C R Acad Sci Paris Sér I Math 317: 785–788
    24. Protter PE (2005) Stochastic integration and differential equations, 2nd edn, version 2.1. Springer, Berlin
    25. Roelly-Coppoletta S (1986) A criterion of convergence of measure-valued processes: application to measure branching processes. Stoch Stoch Rep 17: 43–65
    26. Rosinski J (2007) Tempering stable processes. Stoch Process Appl 117: 677–707
    27. Saxena RK, Mathai AM, Haubold HJ (2006) Fractional reaction-diffusion equations. Astrophys Space Sci 305: 289–296
    28. Terdik G, Woyczynski WA (2006) Rosinski measures for tempered stable and related Ornstein-Uhlenbeck processes. Probab Math Stat 26: 213–243
  • 作者单位:1. Université Paris Est, CERMICS, 6 et 8 avenue Blaise Pascal, Cité Descartes, Champs-sur-Marne, 77455 Marne-la-Vallée Cedex 2, France2. CMAP UMR 7641, Ecole Polytechnique, Route de Saclay, Palaiseau Cedex, France3. Department of Statistics, Center for Stochastic and Chaotic Processes in Science and Technology, Case Western Reserve University, Cleveland, OH 44122, USA
  • ISSN:1432-1416
文摘
We are interested in modeling Darwinian evolution resulting from the interplay of phenotypic variation and natural selection through ecological interactions. The population is modeled as a stochastic point process whose generator captures the probabilistic dynamics over continuous time of birth, mutation, and death, as influenced by each individual’s trait values, and interactions between individuals. An offspring usually inherits the trait values of her progenitor, except when a random mutation causes the offspring to take an instantaneous mutation step at birth to new trait values. In the case we are interested in, the probability distribution of mutations has a heavy tail and belongs to the domain of attraction of a stable law and the corresponding diffusion admits jumps. This could be seen as an alternative to Gould and Eldredge’s model of evolutionary punctuated equilibria. We investigate the large-population limit with allometric demographies: larger populations made up of smaller individuals which reproduce and die faster, as is typical for micro-organisms. We show that depending on the allometry coefficient the limit behavior of the population process can be approximated by nonlinear Lévy flights of different nature: either deterministic, in the form of non-local fractional reaction–diffusion equations, or stochastic, as nonlinear super-processes with the underlying reaction and a fractional diffusion operator. These approximation results demonstrate the existence of such non-trivial fractional objects; their uniqueness is also proved.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700