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The quantitative convergence to equilibrium for reaction-diffusion systems arising from complex balanced chemical reaction networks with mass action kinetics is studied by using the so-called entropy method. In the first part of the paper,…

偏微分方程分析 · 数学 2016-11-11 Laurent Desvillettes , Klemens Fellner , Bao Quoc Tang

The possibility to use competitive evolutionary algorithms to generate long-term progress is normally prevented by the convergence on limit cycle dynamics in which the evolving agents keep progressing against their current competitors by…

神经与进化计算 · 计算机科学 2020-05-26 Luca Simione , Stefano Nolfi

We are concerned with the persistence of both predator and prey in a diffusive predator-prey system with a climate change effect, which is modeled by a spatial-temporal heterogeneity depending on a moving variable. Moreover, we consider…

偏微分方程分析 · 数学 2021-05-10 Wonhyung Choi , Thomas Giletti , Jong-Shenq Guo

We rigorously prove the passage from a Lotka-Volterra reaction-diffusion system towards a cross-diffusion system at the fast reaction limit. The system models a competition of two species, where one species has a more diverse diet than the…

偏微分方程分析 · 数学 2021-11-15 Elisabetta Brocchieri , Lucilla Corrias , Helge Dietert , Yong-Jung Kim

We study a model of competition for resource through a chemostat-type model where species consume the common resource that is constantly supplied. We assume that the species and resources are characterized by a continuous trait. As already…

偏微分方程分析 · 数学 2014-02-24 Sepideh Mirrahimi , Benoît Perthame , Joe Yuichiro Wakano

This paper studies the spreading dynamics of a high-dimensional strong competition Lotka-Volterra system where two species initially occupy disjoint measurable (possibly unbounded) subsets in $\mathbb{R}^N$, which are called initial…

偏微分方程分析 · 数学 2026-02-26 Hongjun Guo

Most biochemical reactions in living cells rely on diffusive search for target molecules or regions in a heterogeneous overcrowded cytoplasmic medium. Rapid re-arrangements of the medium constantly change the effective diffusivity felt…

统计力学 · 物理学 2019-11-13 Yann Lanoiselée , Nicolas Moutal , Denis S. Grebenkov

We study the real time evolution of the correlation functions in a globally quenched interacting one dimensional lattice system by means of time adaptive density matrix renormalization group. We find a clear light-cone behavior quenching…

统计力学 · 物理学 2017-08-16 L. Barbiero , L. Dell'Anna

If two species exhibit different nonlinear responses to a single shared resource, and if each species modifies the resource dynamics such that this favors its competitor, they may stably coexist. This coexistence mechanism, known as…

种群与进化 · 定量生物学 2015-06-16 Florian Hartig , Tamara Münkemüller , Karin Johst , Ulf Dieckmann

This paper studies a chemotaxis system where cells move in response to a chemical signal within a confined habitat. The model includes external source terms that combine local and nonlocal growth with dampening effects. The main focus is on…

偏微分方程分析 · 数学 2025-11-11 Rafael Diaz Fuentes , Fatma Gamze Duzgun , Silvia Frassu , Giuseppe Viglialoro

This paper is devoted to the analysis of a reaction-diffusion system with strong competition and spatial heterogeneities modelling the interaction between two species of mosquitoes. In particular, we propose a mathematical model that…

偏微分方程分析 · 数学 2025-06-19 Nicolas Vauchelet

How the very first nervous systems evolved remains a fundamental open question. Molecular and genomic techniques have revolutionized our knowledge of the molecular ingredients behind this transition but not yet provided a clear picture of…

神经元与认知 · 定量生物学 2017-10-31 Ronald A. J. van Elburg , Oltman O. de Wiljes , Michael Biehl , Fred A. Keijzer

We study the regularity and large-time behavior of a crowd of species driven by chemo-tactic interactions. What distinguishes the different species is the way they interact with the rest of the crowd: the collective motion is driven by…

偏微分方程分析 · 数学 2021-08-25 Siming He , Eitan Tadmor

Chemotaxis and reactions are fundamental processes in biology, often intricately intertwined. Chemotaxis, in particular, can be crucial in maintaining and accelerating a reaction. In this work, we extend the investigation initiated by…

偏微分方程分析 · 数学 2024-12-31 Crystianne L. De Andrade , Alexander A. Kiselev

We study the persistence and propagation (or blocking) phenomena for a species in periodically hostile environments. The problem is described by a reaction-diffusion equation with zero Dirichlet boundary condition. We first derive the…

偏微分方程分析 · 数学 2015-05-28 Jong-Shenq Guo , Francois Hamel

The role of dimensionality (Euclidean versus fractal), spatial extent, boundary effects and system topology on the efficiency of diffusion-reaction processes involving two simultaneously-diffusing reactants is analyzed. We present…

统计力学 · 物理学 2009-11-10 Jonathan L. Bentz , John J. Kozak , E. Abad , G. Nicolis

We consider a class of reaction-diffusion equations with a stochastic perturbation on the boundary. We show that in the limit of fast diffusion, one can rigorously approximate solutions of the system of PDEs with stochastic Neumann boundary…

偏微分方程分析 · 数学 2014-08-13 Wael W. Mohammed , Dirk Blömker

The Lotka-Volterra model reflects real ecological interactions where species compete for limited resources, potentially leading to coexistence, dominance of one species, or extinction of another. Comprehending the mechanisms governing these…

偏微分方程分析 · 数学 2024-10-01 Maicon Sonego , Enrique Zuazua

We analyze diffusion processes with finite propagation speed in a non-homogeneous medium in terms of the heterogeneous telegrapher's equation. In the diffusion limit of infinite-velocity propagation we recover the results for the…

统计力学 · 物理学 2022-11-18 Trifce Sandev , Ljupco Kocarev , Ralf Metzler , Aleksei Chechkin

Many mathematical models describing vegetation patterns are based on biomass--water interactions, due to the impact of this limited resource in arid and semi-arid environments. However, in recent years, a novel biological factor called…

动力系统 · 数学 2026-04-20 Francesco Giannino , Annalisa Iuorio , Cinzia Soresina