Classical and generalized solutions of an alarm-taxis model

Mario Fuest, Johannes Lankeit
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Abstract

In bounded, spatially two-dimensional domains, the system

complemented with initial and homogeneous Neumann boundary conditions, models the interaction between prey (with density u), predator (with density v) and superpredator (with density w), which preys on both other populations. Apart from random motion and prey-tactical behavior of the primary predator, the key aspect of this system is that the secondary predator reacts to alarm calls of the prey, issued by the latter whenever attacked by the primary predator. We first show in the pure alarm-taxis model, i.e. if \(\xi = 0\), that global classical solutions exist. For the full model (with \(\xi > 0\)), the taxis terms and the presence of the term \(-a_2 uw\) in the first equation apparently hinder certain bootstrap procedures, meaning that the available regularity information is rather limited. Nonetheless, we are able to obtain global generalized solutions. An important technical challenge is to guarantee strong convergence of (weighted) gradients of the first two solution components in order to conclude that approximate solutions converge to a generalized solution of the limit problem.

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警报-出租车模型的经典解法和广义解法
在有界的空间二维域中,该系统辅以初始和同质诺依曼边界条件,模拟了猎物(密度为 u)、捕食者(密度为 v)和超级捕食者(密度为 w)之间的相互作用。除了主捕食者的随机运动和捕食行为外,该系统的关键在于次捕食者会对猎物的警报声做出反应,后者会在受到主捕食者攻击时发出警报声。我们首先证明了在纯粹的警报-税收模型中,即如果 \(\xi = 0\), 全局经典解是存在的。对于完整模型(带 \(\xi > 0\) ),taxis项和第一个方程中 \(-a_2 uw\) 项的存在显然阻碍了某些引导程序,这意味着可用的正则信息相当有限。尽管如此,我们还是能够得到全局广义解。一个重要的技术挑战是保证前两个解分量的(加权)梯度的强收敛性,以便得出近似解收敛于极限问题的广义解的结论。
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