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Analysis of Propagation for Impulsive Reaction-Diffusion Models

Mostafa Fazly, Mark Lewis, Hao Wang

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Source: Crossref

Published: Jan 1, 2020

DOI: 10.1137/19m1246481

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Source abstract

We study a hybrid impulsive reaction-advection-diffusion model given by a reaction-advection-diffusion equation composed with a discrete-time map in space dimension nNn\in\mathbb N. The reaction-advection-diffusion equation takes the form ut(m) ⁣= ⁣div(Au(m)qu(m))+f(u(m))for(x,t)Rn×(0,1]u^{(m)}_t \!=\! {div}(A\nabla u^{(m)}-q u^{(m)}) + f(u^{(m)}) {for} (x,t)\in\mathbb R^n \times (0,1], for some function ff, a drift qq, and a diffusion matrix AA. When the discrete-time map is local in space we use Nm(x)N_m(x) to denote the density of population at a point xx at the beginning of reproductive season in the mmth year, and when the map is nonlocal we use um(x)u_m(x). The local discrete-time map is {u(m)(x,0)=g(Nm(x))forxRn,Nm+1(x):=u(m)(x,1)forxRn}\{u^{(m)}(x,0) = g(N_m(x)) {for} x\in \mathbb R^n , N_{m+1}(x):=u^{(m)}(x,1) {for} x\in \mathbb R^n \} for some function gg. The nonlocal discrete time map is {u(m)(x,0)=um(x)forxRn,um+1(x):=g(RnK(xy)u(m)(y,1)dy)forxRn}\{u^{(m)}(x,0) = u_{m}(x) {for} x\in \mathbb R^n , u_{m+1}(x) := g(\int_{\mathbb R^n} K(x-y)u^{(m)}(y,1) dy) {for} x\in \mathbb R^n\}, when KK is a nonnegative normalized kernel. Here, we analyze the above model from a variety of perspectives so as to understand the phenomenon of propagation. We provide explicit formulas for the spreading speed of propagation in any direction eRne\in\mathbb R^n. Due to the structure of the model, we apply a simultaneous analysis of the differential equation and the recurrence relation to establish the existence of traveling wave solutions. The remarkable point is that the roots of spreading speed formulas, as a function of drift, are exactly the values that yield blow-up for the critical domain dimensions, just as with the classical Fisher's equation with advection. We provide applications of our main results to impulsive reaction-advection-diffusion models describing periodically reproducing populations subject to climate change, insect populations in a stream environment with yearly reproduction, and grass growing logistically in the savannah with asymmetric seed dispersal and impacted by periodic fires.

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