Adaptive dynamics;
Hamilton-Jacobi equation with constraints;
Dirac concentration;
small populations;
STATIONARY DISTRIBUTIONS;
ADAPTIVE DYNAMICS;
LOTKA-VOLTERRA;
CONVERGENCE;
ADAPTATION;
STRATEGIES;
EQUATIONS;
D O I:
10.3934/nhm.2012.7.805
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
We consider integro-differential models describing the evolution of a population structured by a quantitative trait. Individuals interact competitively, creating a strong selection pressure on the population. On the other hand, mutations are assumed to be small. Following the formalism of [20], this creates concentration phenomena, typically consisting in a sum of Dirac masses slowly evolving in time. We propose a modification to those classical models that takes the effect of small populations into accounts and corrects some abnormal behaviours.
机构:
Univ St Andrews, Sch Math & Stat, St Andrews, Fife, Scotland
Politecn Torino, Dipartimento Eccellenza 2018 2022, Dept Math Sci GL Lagrange, I-10129 Turin, ItalyUniv St Andrews, Sch Math & Stat, St Andrews, Fife, Scotland
Lorenzi, Tommaso
Pouchol, Camille
论文数: 0引用数: 0
h-index: 0
机构:
KTH Royal Inst Technol, Dept Math, SE-10044 Stockholm, Sweden
Sorbonne Univ, CNRS, UMR 7598, Lab Jacques Louis Lions, F-75005 Paris, France
Univ Paris 05, MAP5, 45 Rue St Peres, F-75006 Paris, FranceUniv St Andrews, Sch Math & Stat, St Andrews, Fife, Scotland