A particle method for non-local advection–selection–mutation equations

Frank Ernesto Alvarez, Jules Guilberteau
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Abstract

The well-posedness of a non-local advection–selection–mutation problem deriving from adaptive dynamics models is shown for a wide family of initial data. A particle method is then developed, in order to approximate the solution of such problem by a regularized sum of weighted Dirac masses whose characteristics solve a suitably defined ODE system. The convergence of the particle method over any finite interval is shown and an explicit rate of convergence is given. Furthermore, we investigate the asymptotic-preserving properties of the method in large times, providing sufficient conditions for it to hold true as well as examples and counter-examples. Finally, we illustrate the method in two cases taken from the literature.

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非局部平流-选择-突变方程的粒子法
研究表明,由自适应动力学模型衍生出的非局部平移-选择-突变问题,对于多种初始数据都能很好地求解。然后开发了一种粒子法,以便通过加权狄拉克质点的正则化总和来近似求解该问题,其特征是求解一个适当定义的 ODE 系统。粒子法在任何有限区间内的收敛性都得到了证明,并给出了明确的收敛率。此外,我们还研究了该方法在大时间内的渐进保留特性,提供了其成立的充分条件以及示例和反例。最后,我们用文献中的两个案例来说明该方法。
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