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In this article we study a non-local diffusion problem that involves three different fractional Laplacian operators acting on two domains. Each domain has an associated operator that governs the diffusion on it, and the third operator…

偏微分方程分析 · 数学 2021-05-27 Alejandro Garriz , Liviu Ignat

This paper studies a stylized model of local interaction where agents choose from an ever increasing set of vertically ranked actions, e.g. technologies. The driving forces of the model are infrequent upward shifts (``updates''), followed…

统计力学 · 物理学 2007-05-23 A. Arenas , A. Diaz-Guilera , C. J. Perez , F. Vega-Redondo

Motivated by the observation that anomalous diffusion is a realistic feature in the dynamics of biological populations, we investigate its implications in a paradigmatic model for the evolution of a single species density $u(x,t)$. The…

生物物理 · 物理学 2012-12-05 Eduardo H. Colombo , Celia Anteneodo

Organisms modulate their fitness in heterogeneous environments by dispersing. Prior work shows that there is selection against "unconditional" dispersal in spatially heterogeneous environments. "Unconditional" means individuals disperse at…

种群与进化 · 定量生物学 2011-09-28 Sebastian J. Schreiber , Chi-Kwong Li

The standard diffusive spreading, characterized by a Gaussian distribution with mean square displacement that grows linearly with time, can break down, for instance, under the presence of correlations and heterogeneity. In this work, we…

统计力学 · 物理学 2021-10-27 M. A. F. dos Santos , E. H. Colombo , C. Anteneodo

A kind of nonlocal reaction-diffusion equations on an unbounded domain containing fractional Laplacian operator is analyzed. To be precise, we prove the convergence of solutions of the equation governed by the fractional Laplacian to the…

偏微分方程分析 · 数学 2023-06-13 Jiaouhui Xu , Tomás Caraballo , José Valero

A diffusive Lotka-Volterra competition model is considered for the combined effect of spatial dispersal and spatial variations of resource on the population persistence and exclusion. First it is shown that in a two-species system in which…

偏微分方程分析 · 数学 2020-07-21 Wenjie Ni , Junping Shi , Mingxin Wang

An ab-initio numerical study of the density-dependent, evolutionary stable dispersal strategy is presented. The simulations are based on a simple discretei generation island model with four processes: reproduction, dispersal, competition…

种群与进化 · 定量生物学 2013-01-09 Shlomit Weisman , Nadav M. Shnerb , David A. Kessler

The conditional diffusion model has been demonstrated as an efficient tool for learning robot policies, owing to its advancement to accurately model the conditional distribution of policies. The intricate nature of real-world scenarios,…

机器人学 · 计算机科学 2024-07-03 Wenhao Yu , Jie Peng , Huanyu Yang , Junrui Zhang , Yifan Duan , Jianmin Ji , Yanyong Zhang

Diffusion of colloidal particles in a complex environment such as polymer networks or biological cells is a topic of high complexity with significant biological and medical relevance. In such situations, the interaction between the…

统计力学 · 物理学 2015-11-10 Andreas M. Menzel

A stochastic reaction-diffusion model is studied on a networked support. In each patch of the network two species are assumed to interact following a non-normal reaction scheme. When the interaction unit is replicated on a directed linear…

The global existence of bounded solutions to reaction-diffusion systems with fractional diffusion in the whole space $\mathbb R^N$ is investigated. The systems are assumed to preserve the non-negativity of initial data and to dissipate…

偏微分方程分析 · 数学 2025-02-25 Phuoc-Tai Nguyen , Bao Quoc Tang

Mixed dispersal syndromes have historically been regarded as bet-hedging mechanisms that enhance survival in unpredictable environments, ensuring that some propagules stay in the maternal environment while others can potentially colonize…

种群与进化 · 定量生物学 2015-11-12 Jorge Hidalgo , Rafael Rubio de Casas , Miguel A. Munoz

This paper is concerned with a nonlocal diffusion Lotka-Volterra type competition model that consisting of a native species and an invasive species in a one-dimensional habitat with free boundaries. We prove the well-posedness of the system…

动力系统 · 数学 2019-05-24 Jia-Feng Cao , Wan-Tong Li , Jie Wang

The question of biological stability (permanence) of a replicator reaction-diffusion system is considered. Sufficient conditions of biological stability are found. It is proved that there are situations when biologically unstable…

种群与进化 · 定量生物学 2014-06-24 Alexander S. Bratus , Artem S. Novozhilov , Vladimir P. Posvyanskii

It has not been known whether preferential dispersal is adaptive in fluctuating environments. We investigate the effect of preferential and random dispersals in bet-hedging systems by using a discrete stochastic metapopulation model, where…

种群与进化 · 定量生物学 2015-11-12 Satoru Morita , Jin Yoshimura

In this paper, we consider a time-fractional reaction-diffusion system with the same nonlinearities of the Newton-Leipnik chaotic system. Through analytical tools and numerical results, we derive sufficient conditions for the asymptotic…

偏微分方程分析 · 数学 2018-09-25 Djamel Mansouri , Salem Abdelmalek , Samir Bendoukha , Amar Youkana

In this monograph, we introduce a new model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility. The interactions among these populations are described not in terms of…

偏微分方程分析 · 数学 2024-07-30 Elisa Affili , Serena Dipierro , Luca Rossi , Enrico Valdinoci

We study reaction-diffusion equations in cylinders with possibly nonlinear diffusion and possibly nonlinear Neumann boundary conditions. We provide a geometric Poincar\'e-type inequality and classification results for stable solutions, and…

偏微分方程分析 · 数学 2016-06-28 Serena Dipierro , Nicola Soave , Enrico Valdinoci

Synchronous oscillations of spatially disjunct populations are widely observed in ecology. Even in the absence of spatially synchronized exogenous forces, metapopulations may synchronize via dispersal. For many species, most dispersal is…

种群与进化 · 定量生物学 2025-06-11 Davi Arrais Nobre , Karen C. Abbott , Jonathan Machta , Alan Hastings