Small jumps asymptotic of the moving optimum Poissonian SDE
Elma Nassar and
Etienne Pardoux
Stochastic Processes and their Applications, 2019, vol. 129, issue 7, 2320-2340
Abstract:
We consider a Poissonian SDE for the lack of fitness of a population subject to a continuous change of its environment, and an accumulation of advantageous mutations. We neglect the time of fixation of new mutations, so that the population is monomorphic at all times. We consider the asymptotic of small and frequent mutations. In that limit, we establish a law of large numbers and a central limit theorem. For small enough mutations, the original process is Harris recurrent and ergodic. We show in which sense the limits as t→∞ of the law of large and number and central limit theorem give a good approximation of the invariant probability measure of the original process.
Keywords: Poissonian SDE; Law of large numbers; Central limit theorem; Approximation of invariant measure; Canonical equation of adaptive dynamics; Moving optimum model (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304414918303260
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:129:y:2019:i:7:p:2320-2340
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spa.2018.07.010
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().