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In this paper, we study the asymptotic behavior as $varepsilonto0^+$ of solutions $u_varepsilon$ to the nonlocal stationary Fisher-KPP type equation$$ frac{1}{varepsilon^m}int_{mathbb{R}^N}J_varepsilon(x-y)(u_varepsilon(y)-u_varepsilon(x))mathrm{d}y+u_varepsilon(x)(a(x)-u_varepsilon(x))=0text{ in }mathbb{R}^N, $$where $varepsilon>0$ and $0leq m<2$. Under rather mild assumptions and using very little technology, we prove that there exists one and only one positive solution $u_varepsilon$ and that $u_varepsilonto a^+$ as $varepsilonto0^+$ where $a^+=max{0,a}$. This generalizes the previously known results and answers an open question raised by Berestycki, Coville and Vo. Our method of proof is also of independent interest as it shows how to reduce this nonlocal problem to a local one. The sharpness of our assumptions is also briefly discussed.
A semiclassical approximation approach based on the Maslov complex germ method is considered in detail for the 1D nonlocal Fisher-Kolmogorov-Petrovskii-Piskunov equation under the supposition of weak diffusion. In terms of the semiclassical formalism
We consider the nonlinear Stefan problem $$ left { begin{array} {ll} -d Delta u=a u-b u^2 ;; & mbox{for } x in Omega (t), ; t>0, u=0 mbox{ and } u_t=mu| abla_x u |^2 ;;&mbox{for } x in partialOmega (t), ; t>0, u(0,x)=u_0 (x) ;; & mbox{for } x
In Cao, Du, Li and Li [8], a nonlocal diffusion model with free boundaries extending the local diffusion model of Du and Lin [12] was introduced and studied. For Fisher-KPP type nonlinearities, its long-time dynamical behaviour is shown to follow a s
We study the radially symmetric high dimensional Fisher-KPP nonlocal diffusion equation with free boundary, and reveal some fundamental differences from its one dimensional version considered in cite{cdjfa} recently. Technically, this high dimensiona
We study the asymptotic behavior of solutions to a monostable integro-differential Fisher-KPP equation , that is where the standard Laplacian is replaced by a convolution term, when the dispersal kernel is fat-tailed. We focus on two different regime