Uniform boundedness and convergence of solutions to the systems with cross-diffusions dominated by self-diffusions
Introduction
In this paper we study the following quasilinear parabolic system in population dynamics:where is a bounded smooth domain and are positive constants for i,j=1,2. System (1.1) was proposed by Shigesada et al. [13] in 1979 in an attempt to model spatial segregation phenomena between two competing species. In system (1.1) u and v are nonnegative functions which represent the population densities of two competing species. d1 and d2 are the diffusion rates of the two species, respectively. a1 and a2 denote the intrinsic growth rates, b1 and c2 account for intra-specific competitions, b2 and c1 are the coefficients for inter-specific competitions. When α11=α12=α21=α22=0, (1.1) reduces to the well-known Lotka–Voltera competition–diffusion system. α11 and α22 are usually referred as self-diffusion, and α12,α21 are cross-diffusion pressures. By adopting the coefficients system (1.1) takes into account the pressures created by mutually competing species. For more details on the backgrounds of this model, we refer the reader to [11], [13].
To describe results on system (1.1) we use the following notation throughout this paper.
Notation. Let be a region in . The norm in is denoted by , 1⩽p⩽∞. The usual Sobolev spaces of real valued functions in with exponent k⩾0 are denoted by . And represents the norm in the Sobolev space . For we shall use the simplified notation ||·||k,p for and |·|p for .
The local existence of solutions to (1.1) was established by Amann [2], [3], [4]. According to his results system (1.1) has a unique nonnegative solution u(·,t),v(·,t) in , where T∈(0,∞] is the maximal existence time for the solution . The following result is also due to Amann [3]. Theorem 1.1 Let u0 and v0 be in . System (1.1) possesses a unique nonnegative maximal smooth solution for 0⩽t<T, where p>n and 0<T⩽∞. If the solution satisfies the estimates , then T=+∞. If, in addition, u0 and v0 are in , then , and , .
System (1.1) is a special case of the concrete example (7), (8) in the Introduction of [3], and the results stated in Theorem 1.1 are from the theorem in the Introduction of [3].
So far the existence of nonnegative global solutions for system (1.1) has been proved under very restrictive hypotheses only. Kim [7] proved the global existence of smooth nonnegative solutions for and α11=α22=0. Deuring [5] showed the global existence of classical positive solutions to system (1.1) with α11=α22=0 and small coefficients depending on the initial values for n⩾1. In the case n=2, Lou et al. [9] proved that system (1.1) with α21=0 has a unique smooth global solution. Yagi [14] established the global existence of smooth nonnegative solutions to system (1.1) for under the condition either or . Yagi [14] obtained estimates of Gronwall's type depending on T to prove the global existence. His proof holds for with a minor modification. And yet the qualitative properties of those global solutions have not been proved for system (1.1) in the special cases mentioned above.
We study in this paper system (1.1) for the spatial domain under the conditionas Yagi [14]. System (1.1) is rewritten as follows:where αij,di,ai,bi,ci are positive constants for i,j=1,2. Throughout this paper we assume that the initial functions u0(x),v0(x) are not identically zero and in the function space W21([0,1]).
We first prove the uniform boundedness of the global solutions of system (1.2) under condition (α). Applying Gagliardo–Nirenberg-type inequalities we establish the uniform W21-bound independent of T, the maximal existence time, for the solutions obtained in Theorem 1.1. Thus, we have the global existence and the uniform L∞-bound of the solutions from Theorem 1.1 and the Sobolev embedding theorems. Especially in each step of estimates of the solution we look for the contribution of the diffusion coefficients and conclude that the uniform bound of the solution is independent of d1,d2 if d1,d2⩾1. Hence for large d1,d2 we obtain convergence results on the solution in the weak competition case. In the strong competition case we construct invariant sets and prove the convergence of the global solutions in those invariant sets for a special case of system (1.2) by using the independence of the uniform bound of the solution of d1,d2⩾1. Remark Throughout this paper we refer to the condition c1/c2<a1/a2<b1/b2 as the weak competition condition, and the condition b1/b2<a1/a2<c1/c2 as the strong competition condition.
Here we state the main theorems of this paper. Theorem 1.2 Suppose condition (α) for system (1.2). For the maximal solution (u(x,t),v(x,t)) of system (1.2) as in Theorem 1.1 there exist positive constants , and M=M(di,αij,ai,bi,ci,i,j=1,2) such thatand T=+∞. In the case d1,d2⩾1, and , where are positive constants, the constants are independent of d1,d2⩾1, that is, M′ and M depend only on . Theorem 1.3 Suppose condition (α), the weak competition condition, and that are in W22([0,1]) for system (1.2). If d1,d2⩾1 satisfy thatwhere M is the positive constant in Theorem 1.2,then the solution (u(t),v(t)) converges to uniformly in [0,1] as t→∞, and is globally asymptotically stable. Remark Lou and Ni [8] have drawn the same convergence result as in Theorem 1.3 from different assumptions that α11⩾(γ/8)α21 and α22⩾(1/8γ)α12, where . Theorem 1.4 Suppose condition (α) and the strong competition condition for system (1.2) and also that . We assume that b1/b2<1⩽a1/a2, andLet d⩾1 satisfies thatwhere M is the positive constant in Theorem 1.2 independent of d⩾1. For , where , the region Σk≔{(u,v)|u⩾0,v⩾0,v⩽ku} is a domain of attraction of (a1/b1,0) for system (1.2) in the sense that if {(u0(x),v0(x))|x∈[0,1]}⊂Σk and u0,v0∈W22([0,1]), then the solution (u(x,t),v(x,t)) of (1.2) converges to (a1/b1,0) uniformly in [0,1] as t→∞. Remark The following are some example sets of constants which satisfy all the conditions in Theorem 1.4.
The proofs of Theorem 1.3, Theorem 1.4 are given in 2 Convergence in the weak competition case, 3 Convergence in the strong competition case, respectively. In Section 4 we collect calculus inequalities which are necessary for the proof of Theorem 1.2. Theorem 1.2 is proved in Section 5.
Section snippets
Convergence in the weak competition case
Proof of Theorem 1.3 In this proof we consider the weak competition case of the competition coefficients, that is, c1/c2<a1/a2<b1/b2. By the strong maximum principle and the Hopf boundary lemma for parabolic equations ([12]), u(x,t)>0 and v(t,x)>0 in [0,1]×(0,∞). Using the functional H(u,v) defined in the following we observe the convergence of global solutions of system (1.2):whereis the stable constant steady state of system
Convergence in the strong competition case
We study in this section convergence of solutions to system (1.2) in the strong competition case, that is, b1/b2<a1/a2<c1/c2. In order to construct an invariant set for the solution of system (1.2) we assume in this section that and rewrite system (1.2) into the following system:where .
In Lemma
Calculus inequalities
Theorem 4.1 Let be a bounded domain with in Cm. For every function u in , the derivative , satisfies the inequalitywhere 1/p=j/n+a(1/r−m/n)+(1−a)1/q, for all a in the interval j/m⩽a<1, provided one of the following three conditions is satisfied: r⩽q, 0<n(r−q)/mrq<1, or n(r−q)/mrq=1 and m−n/q is not a nonnegative integer.
(The positive constant C depends only on )
Proof
We refer the reader to Friedman [6] or Nirenberg [10] for the proof of this
Uniform boundedness
Proof of Theorem 1.2 Step 1: Taking integration of the first equation of (1.2) over the domain [0,1], we haveIn the case that we have that for all t>0. In the case that there exist positive constants δ and τ0′ such that for all t∈(τ0′,∞). We estimate similarly and conclude that there exist positive constants τ0 and M0=M0(ai,bi,ci,i,j=1,2) such that
Acknowledgements
The author thanks Professor Wei-Ming Ni for his helpful discussions. This work is partially supported by NSF.
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