A Hamilton-Jacobi approach to evolution of dispersal

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-05-11 DOI:10.1080/03605302.2022.2139723
King-Yeung Lam, Y. Lou, B. Perthame
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引用次数: 1

Abstract

Abstract The evolution of dispersal is a classical question in evolutionary biology, and it has been studied in a wide range of mathematical models. A selection-mutation model, in which the population is structured by space and a phenotypic trait, with the trait acting directly on the dispersal (diffusion) rate, was formulated by Perthame and Souganidis [Math. Model. Nat. Phenom. 11:154–166, 2016] to study the evolution of random dispersal toward the evolutionarily stable strategy. For the rare mutation limit, it was shown that the equilibrium population concentrates on a single trait associated to the smallest dispersal rate. In this paper, we consider the corresponding evolution equation and characterize the asymptotic behaviors of the time-dependent solutions in the rare mutation limit, under mild convexity assumptions on the underlying Hamiltonian function.
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扩散演化的Hamilton-Jacobi方法
摘要:扩散进化是进化生物学中的一个经典问题,已经在广泛的数学模型中得到了研究。Perthame和Souganidis [Math]提出了种群由空间和表型性状组成,性状直接影响扩散速率的选择-突变模型。模型。[j] .自然科学进展,2016,11(1):1 - 4。在罕见突变极限下,均衡种群集中在与最小扩散率相关的单个性状上。本文考虑了相应的演化方程,在底层哈密顿函数的温和凸性假设下,刻画了在罕见突变极限下的时变解的渐近行为。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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