On a nonlocal diffusion model with Neumann boundary conditions

https://doi.org/10.1016/j.na.2011.12.019Get rights and content

Abstract

We study a nonlocal diffusion model analogous to heat equation with Neumann boundary conditions. We prove the existence and uniqueness of solutions and a comparison principle. Furthermore, we analyze the asymptotic behavior of the solutions as the temporal variable goes to infinity and the boundary datum depends only on a spacial variable.

Introduction

The mathematical description of a great variety of phenomena that appear in many sciences such as Physics, Chemistry, Biology, can be done using linear and nonlinear partial differential equations. Some of the models that appear are the so called diffusion models. The most important of these models consists of the heat equation with Neumann or Dirichlet boundary conditions. In the case of Neumann boundary conditions, see [1], the simplest model is given by: ut(x,t)=Δu(x,t),(x,t)Ω×(0,T),un(x,t)=0,(x,t)Ω×(0,T),u(x,0)=u0(x),xΩ. In this kind of model, the diffusion of the density u at a point x and time t depends locally on u(x,t), reason for which this is known as the local model. However, in the past years some interest has been paid to models described by equations of the form ut(x,t)=ΩJ(xy)[u(y,t)u(x,t)]dy,(x,t)Ω×(0,T),u(x,0)=u0(x),xΩ, and variations of it. Here, J is a symmetric continuous nonnegative real function defined on RN, compactly supported on the unit ball, such that RNJ(x)dx=1. This equation is known as a nonlocal model since the diffusion of the density u at a point x and time t does not only depend on u(x,t), but also on all values of u through the convolution term Ju (see below).

Some nonlocal models have been studied recently. See for instance [2], [3], [4], [5], [6], [7], and the book [8]. Following [9], model (1.2) can be interpreted as follows. If u(x,t) is the density of a population at point x and time t, and J(xy) is thought as the probability distribution of jumping from location y to location x, then the convolution (Ju)(x,t)=RNJ(yx)u(y,t)dy, is the rate at which the individuals are arriving to location x from all other places. In the same way, RNJ(yx)u(x,t)dy=u(x,t), is the rate at which the points are leaving the location x to travel to other sites. So, in the absence of external or internal sources, the density u satisfies the nonlocal equation (1.2). These equations which include nonlocal terms have been used in several applications, for instance in Biology [10], image processing [11], systems of particles [12], optimal control theory [13] etc; see also [14], [15], [16]. For the mathematical analysis of these models the list of references is large and we refer to [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], and again to the book [8] and references therein.

The main goal of this paper is to introduce and analyze a new nonlocal diffusion model with Neumann boundary conditions. We deal with the following problem ut(x,t)=ΩJ(xy)(u(y,t)u(x,t))dy+ΩG(xy)g(y,t)dSy,(x,t)Ω¯×(0,T),u(x,0)=u0(x),xΩ¯, where, Ω is a smooth and bounded domain, J:RNR and G:RNR are continuous, nonnegative, radially symmetric functions compactly supported in the unit ball such that RNJ(z)dz=1,RNG(z)dz=1, and gLloc[(0,);L1(Ω)]. The second integral in (1.3) takes into account the prescribed flux of individuals that enter or leave the domain according to the sign of g. This is what is called Neumann boundary conditions [7].

Our main results can be summarized as follows: we show the existence and uniqueness of solutions for u0L1(Ω), prove a comparison principle and study the asymptotic behavior of the solutions as t.

Concerning Neumann boundary conditions for nonlocal diffusion, Cortazar et al. in [7], [6] (see also [8]) studied a closely related problem of the form ut(x,t)=ΩJ(xy)(u(y,t)u(x,t))dy+RNΩG(xy)g(y,t)dy. If one deals with this type of problem, when the boundary data is given by a nonlinear function, g(y,t)=f(u(y,t)), it is necessary to use an extension of the solution outside the domain, that is, from Ω to RNΩ. In our case we can show that this extension is not necessary if we deal with solutions that are continuous in Ω¯. This is the main advantage of (1.3) compared with previous models.

The paper is organized as follows. In Section 2, we prove the existence and uniqueness of solutions. In Section 3, we give a comparison principle. In Section 4, we study the asymptotic behavior of solutions as t. Finally, some conclusions are given.

Section snippets

Existence and uniqueness of solutions

We work in the Banach space Bt0=C([0,t0];L1(Ω)), with the norm w=max0tt0w(,t)L1(Ω)=max0tt0Ω|w(x,t)|dx, where t0>0 is fixed.

Take w instead of u and s instead of t in Eq. (1.3), to obtain ws(x,s)=ΩJ(xy)[w(y,s)w(x,s)]dy+ΩG(xy)g(y,s)dSy. Integrating in time, (2.1) reads as w(x,t)=w0(x)+0tΩJ(xy)[w(y,s)w(x,s)]dyds+0tΩG(xy)g(y,s)dSyds.

Associated to this equation, we have the following operator.

Definition 2.1

Let T:Bt0Bt0 be defined as Tw0,g(w(x,t))=w0(x)+0tΩJ(xy)[w(y,s)w(x,s)]dyds+0tΩ

A comparison principle

In this section, we study a comparison principle for solutions of problem (1.3). To this end, we first give the definition of subsolutions and supersolutions.

Definition 3.1

A function uC([0,T);L1(Ω)), is called a supersolution of Eq. (1.3), if it satisfies: u(x,0)u0(x) and ut(x,t)ΩJ(xy)[u(y,t)u(x,t)]dy+ΩG(xy)g(y,t)dSy.

Subsolutions are defined in a similar way, reversing the inequalities.

Lemma 3.1

Let u0C(Ω¯),u00 . If uC(Ω¯×[0,T]) is a supersolution to (1.3) with g0, then u0.

Proof

We suppose that u(x,t) is

Asymptotic behavior

Through out this section, we suppose that g depends only on the spacial variable x: g(x,t)=g(x). We will need some results for the associated stationary problem which is given by the equation ΩJ(xy)[ϕ(y)ϕ(x)]dy+ΩG(xy)g(y)dSy=0. We have the following lemma.

Lemma 4.1

If ϕ(x) is a solution of Eq. (4.1), thenΩΩG(xy)g(y)dSydx=0.

Proof

After the integration on Ω of Eq. (4.1) we obtain ΩΩJ(xy)[ϕ(y)ϕ(x)]dydx+ΩΩG(xy)g(y)dSydx=0. Using the symmetry of J we have that the first double integral is zero.

Conclusions

We have studied a nonlocal diffusion model analogous to the Neumann problem for the heat equation (1.1). We proved the existence and uniqueness of solutions and a comparison principle for Eq. (1.3). Also we showed the exponential decay to the steady state for its solutions. Hence the nonlocal problem (1.3) shares these properties with its local analog (1.1).

In addition, it is important to note that in the case of the rescaled problem, which have the form utϵ(x,t)=1ϵ2ΩJϵ(xy)(uϵ(y,t)uϵ(x,t))dy+

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