Startseite Limit Configurations of Schrödinger Systems Versus Optimal Partition for the Principal Eigenvalue of Elliptic Systems
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Limit Configurations of Schrödinger Systems Versus Optimal Partition for the Principal Eigenvalue of Elliptic Systems

  • Haijun Luo und Zhitao Zhang EMAIL logo
Veröffentlicht/Copyright: 13. September 2019

Abstract

We study a Schrödinger system of four equations with linear coupling functions and nonlinear couplings, including the case that the corresponding elliptic operators are indefinite. For any given nonlinear coupling β>0, we first use minimizing sequences on a normalized set to obtain a minimizer, which implies the existence of positive solutions for some linear coupling constants μβ,νβ by Lagrange multiplier rules. Then, as β, we prove that the limit configurations to the competing system are segregated in two groups, develop a variant of Almgren’s monotonicity formula to reveal the Lipschitz continuity of the limit profiles and establish a kind of local Pohozaev identity to obtain the extremality conditions. Finally, we study the relation between the limit profiles and the optimal partition for principal eigenvalue of the elliptic system and obtain an optimal partition for principal eigenvalues of elliptic systems.

MSC 2010: 35J50; 35J57; 35R35

1 Introduction

We first study the Schrödinger system with linear coupling functions and nonlinear couplings (i.e., double couplings)

(1.1) { - Δ u 1 - μ m 11 ( x ) u 1 - μ m 12 ( x ) u 2 = - β u 1 v 1 2 - β u 1 v 2 2 , x Ω , - Δ u 2 - μ m 21 ( x ) u 1 - μ m 22 ( x ) u 2 = - β u 2 v 1 2 - β u 2 v 2 2 , x Ω , - Δ v 1 - ν m 11 ( x ) v 1 - ν m 12 ( x ) v 2 = - β v 1 u 1 2 - β v 1 u 2 2 , x Ω , - Δ v 2 - ν m 21 ( x ) v 1 - ν m 22 ( x ) v 2 = - β v 2 u 1 2 - β v 2 u 2 2 , x Ω , u 1 , u 2 , v 1 , v 2 H 0 1 ( Ω ) ,

where Ω is a smooth bounded domain in N, N=2 or 3, β is a given positive nonlinear coupling constant, μ,ν>0 are undetermined linear coupling functions’ constants and the coefficient matrix M=(mij(x))2×2 satisfies the following conditions:

  1. m i j ( x ) C ( Ω ¯ , ) for all i,j{1,2};

  2. m 12 ( x ) = m 21 ( x ) for all xΩ¯;

  3. M = ( m i j ( x ) ) 2 × 2 is cooperative, i.e., m12(x)>0 for all xΩ;

  4. max x Ω max { m 11 ( x ) , m 22 ( x ) } > 0 .

System (1.1) arises from Bose–Einstein condensations with four hyperfine spin states and is also a natural model in nonlinear optics; see [1, 14, 17, 19, 23, 29] and the references therein. With regard to the nonlinear Schrödinger systems with double couplings, there are some interesting works on the qualitative and quantitative properties of solutions to the systems; see [4, 11, 18, 28, 34]. More specifically, the existence of bound state and ground state solutions has been investigated by the topological and variational methods in [4, 18, 34], while the authors in [11, 28] studied the bifurcation of synchronized solutions with respect to coupled parameters. Besides, the symmetry and asymptotic behavior of ground state solutions were also investigated in [34]. We notice that the elliptic operators of all the aforementioned papers are in fact positively definite; there seem to be no results on solutions of nonlinear Schrödinger systems with double couplings, which are indefinite.

As the nonlinear interaction constant β goes to infinity, phase separation of system (1.1) happens. Without the linear coupling terms, this phenomenon has been well studied in [7, 8, 12, 13, 21, 30, 31]. Particularly, the authors of [7] have studied the system

(1.2) - Δ u j + μ j u j 3 + Λ i j β ~ i j u i 2 u j = λ j u j in Ω , j = 1 , , m ,

where Ω2 is a smooth bounded domain, μj0, Λ>0, β~ij=β~ji>0, ij and λj are undetermined constants. Under suitable assumptions, they showed that system (1.2) has a positive solution (u1,Λ,,um,Λ). Moreover, as Λ, the positive solutions (u1,Λ,,um,Λ) of system (1.2) converge weakly in H01(Ω) to a segregated limit profile (u1,0,,um,0), where each component satisfies the equation

- Δ u j , 0 + μ j u j , 0 3 = λ ~ j u j , 0 in Ω j : = { x Ω : u j , 0 ( x ) > 0 } ,

where λ~j are the limits of λj as Λ (up to a subsequence). It is worthwhile to note that the limit profiles correspond to the optimal partition of the first eigenvalues for the Laplacian with respect to the underlying domain Ω when μ1==μm=0.

To the best of our knowledge, there are few works for the limit profiles to system (1.2) with linear coupling terms; one of the relevant works is given by Soave et al. in [24]. The optimal partition for eigenvalues of elliptic systems has a close relation with the limit profiles to system (1.1). In fact, we give an asymptotic analysis to system (1.1) as β+; moreover, we get the optimal partition for principal eigenvalue of elliptic systems by the limit behavior of (1.1) for N=2,3 (and by the limit behavior of a similar extended system for N4; see (4.6),(4.7)).

We give some notations now. The vector means the column vector, that is, u=(u1,,uh), u denotes the transpose of u and n denotes the unit outward normal. We define

u = ( u 1 , , u h ) , | u | 2 = | u 1 | 2 + + | u h | 2 ,
n u = ( n u 1 , n u 2 , , n u h ) , | n u | 2 = | n u 1 | 2 + + | n u h | 2 ,

and

u 2 2 = Ω | u | 2 , | u | p p = Ω | u | p , | u | = ( u 1 2 + + u h 2 ) 1 / 2 .

We say that u0 (u>0) means that ui0 (ui>0) for every 1ih. We define the energy functional by

J β ( u , v ) : = 1 2 Ω | u | 2 + 1 2 Ω | v | 2 + β 2 Ω | u | 2 | v | 2 for every u = ( u 1 , u 2 ) , v = ( v 1 , v 2 ) [ H 0 1 ( Ω ; ) ] 2 .

Since N=2,3, by the Sobolev embedding theorem, Jβ(u,v) is well defined on [H01(Ω;)]2×[H01(Ω;)]2, and Jβ(u,v)C1([H01(Ω;)]2×[H01(Ω;)]2).

Let

Σ ~ = { w = ( w 1 , w 2 ) [ H 0 1 ( Ω ; ) ] 2 : Ω w M w = 1 } ,

In order to obtain the least energy solutions of system (1.1), we study the energy minimization problem

c β = inf ( u , v ) Σ ~ × Σ ~ J β ( u , v ) .

If we set

Σ : = { w = ( w 1 , w 2 ) [ H 0 1 ( Ω ; ) ] 2 : Ω w M w = 1 , w i 0 , i = 1 , 2 } ,

where wMw=m11(x)w12(x)+2m12(x)w1(x)w2(x)+m22(x)w22(x), then we also have

(1.3) c β : = inf ( u , v ) Σ × Σ J β ( u , v ) .

In fact, for every u=(u1,u2),v=(v1,v2)Σ~, we set

t * = Ω u M u Ω | u | M | u | , s * = Ω v M v Ω | v | M | v | ,

where |u|=(|u1|,|u2|). Since M is cooperative, i.e., m12(x)>0, we can infer that t*(0,1], s*(0,1]. Moreover, (t*|u|,s*|v|)Σ×Σ. By the definition of Jβ, we obtain Jβ(t*|u|,s*|v|)Jβ(u,v), which implies

c β = inf ( u , v ) Σ ~ × Σ ~ J β ( u , v ) = inf ( u , v ) Σ × Σ J β ( u , v ) .

Therefore, the assumption that wi are nonnegative in the set Σ is a natural constraint, and hence Lagrange multiplier rules can be applied.

For positive least energy solutions, we have the following result.

Theorem 1.1.

Suppose that the matrix M satisfies (M1)(M4). Then, for every β>0, there exists (uβ,vβ) achieving cβ, which is a positive solution of the system (1.1) for two Lagrange multipliers μβ>0, νβ>0.

Compared with the aforementioned papers [4, 11, 18, 28, 34], the main difficulty in the proof of Theorem 1.1 is that the elliptic operator of system (1.1) may be indefinite (see Lemma 2.1 below for more detail). We overcome this difficulty by classifying u1,u2,v1,v2 into two groups and prescribing their masses; a similar idea has been used to deal with the normalized solutions problem (see [3, 20] and the references therein).

Next, when the competing constant β+, we show that the family of least energy positive solutions (uβ,vβ) obtained in Theorem 1.1 undergoes segregated, that is, the supports of limit profiles tend to be disjoint. To obtain the Lipschitz regularity of limit profiles, we use a very crucial tool—the variant of Almgren’s monotonicity formula, which was first set up by F. J. Almgren, Jr. [2]. Furthermore, we develop local Pohozaev identities to give extremality conditions, which establish the connection of the derivatives among limit profiles with adjacent supports. As shown in [27], the extremality conditions play an important role to characterize the free boundary of limit profiles.

For the limit profiles to (1.1), we have the following result.

Theorem 1.2.

Let (uβ,vβ) be the positive least energy solution obtained by Theorem 1.1. Then there exists (u,v)Σ×Σ such that, up to a subsequence, as β+, the following statements hold:

  1. u β u , v β v in [ H 0 1 ( Ω ) ] 2 [ C 0 , α ( Ω ¯ ) ] 2 for all α ( 0 , 1 ) ;

  2. u and v have disjoint supports, that is,

    u i , v j , 0 for all i , j { 1 , 2 } ;

  3. u and v are Lipschitz continuous in Ω , and the sets

    ω u : = { x Ω : u 1 , 2 ( x ) + u 2 , 2 ( x ) > 0 } , ω v : = { x Ω : v 1 , 2 ( x ) + v 2 , 2 ( x ) > 0 }

    are open;

  4. we have

    - Δ u = μ M u 𝑖𝑛 ω u , - Δ v = ν M v 𝑖𝑛 ω v

    and u > 0 , v>0, μ=limβ+μβ,ν=limβ+νβ, where μβ,νβ are the two Lagrange multipliers in Theorem 1.1;

  5. for every x 0 Ω and r ( 0 , dist ( x 0 , Ω ) ) , if we define the energy

    E ~ ( x 0 , ( u , v ) , r ) = 1 r N - 2 B r ( x 0 ) | u | 2 + | v | 2 ,

    then we have

    d d r E ~ ( x 0 , ( u , v ) , r ) = 2 r N - 2 B r ( x 0 ) i = 1 2 [ ( n u i , ) 2 + ( n v i , ) 2 ] d σ + 2 r N - 1 B r ( x 0 ) h = 1 2 l = 1 2 μ m h l u l , x - x 0 , u h , + 2 r N - 1 B r ( x 0 ) h = 1 2 l = 1 2 ν m h l v l , x - x 0 , v h , .

In [7, 13, 21, 30], the authors have studied the uniformly (in β) bounded Hölder norm of bound state solutions or ground state solutions, which are scalar functions. We have to deal with two vector functions in Theorem 1.2; it is more difficult to prove the uniform Hölder bound of the positive least energy vector solutions. More precisely, for blow-up analysis, we need to take refined analysis and give a suitable version of Liouville theorems to obtain a contradiction; please see Theorem 2.3 for details. Besides, by the asymptotic analysis as β, we find a new phenomenon that the limit profiles segregate into two groups rather than to be disjoint each pairwise. Finally, it is worthwhile to mention that our methods can be applied to more general systems.

In what follows, let us consider the principal eigenvalue to elliptic systems

(1.4) - Δ u = λ M u , u = ( u 1 , , u n ) [ H 0 1 ( ω ) ] n ,

for any bounded domain ωN (N2) , where denotes transpose and the matrix Mn×n satisfies the following conditions:

  1. M = ( m i j ( x ) ) is symmetric and cooperative, i.e., mij(x)=mji(x)>0 for all ij and all xω;

  2. M is fully coupled, i.e., the index set {1,,n} cannot be split into two disjoint nonempty subsets I and J such that mij(x)0 for all iI, jJ and all xω;

  3. max x ω max 1 i n m i i ( x ) > 0 ;

  4. m i j ( x ) C ( ω ¯ , ) for all i,j{1,,n}.

Remark 1.3.

To simplify notation, we still denote the coefficient matrix in (1.4) by M since there is no ambiguity from the context. In fact, (M1)–(M4) imply (I)–(IV).

By [6, Theorem 1.1], under assumptions (I)–(IV), there exist a unique λ1>0 and a vector function ϕ>0 (i.e., every component is positive) satisfying the following conditions:

  1. - Δ ϕ = λ 1 M ϕ ;

  2. dim ker ( - Δ I - λ 1 M ) = dim coker ( - Δ I - λ 1 M ) = 1 ;

  3. the M-algebraic multiplicity of λ1 is odd;

  4. if λ>0 is an eigenvalue of (1.4), then λλ1, and we call λ1 the principal eigenvalue to (1.4) and ϕ the first eigenfunction.

According to property (4) of the definition of λ1, we can give the following variational characterization for λ1:

(1.5) λ 1 ( ω ) = inf u [ H 0 1 ( ω ) ] n { ω | u | 2 ω M u u : ω M u u > 0 } .

Interestingly, by Theorem 1.2 (iv), it is easy to see that

μ = λ 1 ( ω u ) , ν = λ 1 ( ω v ) ,

where λ1(ω) (well-defined by Remark 1.3) is the principal eigenvalue to (1.4) on ω. Moreover, the limit profile corresponds to an optimal 2-partition (with respect to domain) for the principal eigenvalue to some elliptic system, which will be shown later.

The interesting phenomenon above leads us to consider the optimal partition problems for the elliptic systems

(1.6) inf 𝒫 k ( Ω ) i = 1 k λ 1 ( ω i ) ,

where λ1(ω) is the principal eigenvalue to (1.4) on ω, k, k2 and

𝒫 k ( Ω ) = { ( ω 1 , , ω k ) : ω i Ω open , ω i ω j = , i j } .

This is a class of free boundary problems, which has attracted much attention in recent years; see [5, 8, 10, 22, 33] and the references therein. Notice that these interesting results are mainly concerned with a single elliptic operator; as for the optimal partition problem of elliptic systems, there are few results, we give some new results in this field.

To obtain the optimal partition of (1.6), we relate it with limit profiles of solutions to the singularly perturbed problem, and the methods developed in the proofs of Theorems 1.1 and 1.2 can be applied to this problem, too.

Now we give the theorem for optimal partition.

Theorem 1.4.

Let ΩRN (N2) be a smooth bounded domain. Assume the matrix M=(mhl)1h,ln satisfies (I)(IV). Then the optimal partition problem (1.6) admits an open and connected solution (ω1,,ωk)Pk(Ω) such that, for each i=1,,k, the vector eigenfunctions ui associated with the principal eigenvalues λ1(ωi) to (1.4) are Lipschitz continuous. Furthermore, for any i, all components of ui are positive in ωi; these eigenfunctions satisfy the following extremality conditions: for every x0Ω and r(0,dist(x0,Ω)), if we define the energy

E ~ ( x 0 , ( u 1 , , u k ) , r ) = 1 r N - 2 B r ( x 0 ) i = 1 k | u i | 2 ,

then we have

d d r E ~ ( x 0 , ( u 1 , , u k ) , r ) = 2 r N - 2 B r ( x 0 ) i = 1 k | n u i | 2 d σ + 2 r N - 1 B r ( x 0 ) i = 1 k h = 1 n l = 1 n λ 1 ( ω i ) m h l u i , l x - x 0 , u i , h .

Remark 1.5.

The extremality conditions are used to investigate the regularity of the free boundary for the optimal partition problems; please see [24, 27] for more details.

Compared to the results in the celebrated papers [5, 10] which are devoted to studying the optimal partition for a single elliptic operator (Laplacian operator), our novelty lies in dealing with the optimal partition for an elliptic system. There are some difficulties elsewhere for our situation. One difficulty is to deduce the extremality conditions; since we treat the vector functions, it seems that the methods of [10, Lemma 2.1] to give the extremality conditions are not valid for the current case; here we develop local Pohozaev identities to establish the associated extremality conditions. Another difficulty is to infer that every region of the optimal partition is connected. As for the single elliptic operator, it follows from a relatively simple argument because the first eigenfunction (up to a constant multiplier) associated to every region is just one sign function. However, it seems more involved to deal with the elliptic operator of the system; since the first eigenfunction corresponding to every region is a vector function, this naturally results in the following problem: Do two components of a vector eigenfunction (u1,u2) (respectively (v1,v2)) have the same support? We give a positive answer by a series of propositions; see Lemma 4.9, Theorem 4.10 and Corollary 4.11 for details. In addition, to the best of our knowledge, we are first to investigate the optimal partition for eigenvalues of elliptic systems.

This paper is organized as follows. In Section 2, we obtain the existence of positive least energy solutions and the limit profiles to system (1.1), and we prove Theorem 1.1. Section 3 is devoted to the Lipschitz regularity of the limit profiles and the proof of Theorem 1.2. In Section 4, we study the optimal partition problem for elliptic systems and get Theorem 1.4.

2 Existence of the Positive Least Energy Solutions and the Limit Profiles to System (1.1)

We first obtain the existence of a minimizer for cβ defined by (1.3).

Lemma 2.1.

For fixed β>0, there exists a positive minimizer (uβ,vβ) for cβ.

Proof.

First, it is easy to see that Σ×Σ is a weakly closed subset of [H01(Ω;)]2×[H01(Ω;)]2 and Jβ is weakly lower semi-continuous on Σ×Σ. Taking a minimizing sequence {(un,β,vn,β)}Σ×Σ for cβ, we get that (un,β,vn,β) is uniformly bounded in [H01(Ω;)]2×[H01(Ω;)]2. Thus, up to a subsequence, there exists a (uβ,vβ)[H01(Ω;)]2×[H01(Ω;)]2 such that un,βuβ and vn,βvβ weakly in [H01(Ω;)]2. Then, by the direct methods in the Calculus of Variations, we know that (uβ,vβ) is a minimizer (uβ,vβ) for cβ. Therefore, the Lagrange multiplier rules can be applied to deduce that there exist two constants μβ and νβ such that, for every component ui,β and vi,β (i=1,2), we have

(2.1) { - Δ u i , β = μ β j = 1 2 m i j u j , β - β u i , β ( v 1 , β 2 + v 2 , β 2 ) , - Δ v i , β = ν β j = 1 2 m i j v j , β - β v i , β ( u 1 , β 2 + u 2 , β 2 ) .

Since uβΣ and M=(mij(x))2×2 given by (1.1) satisfy assumptions (I)–(IV) (see Remark 1.3), recalling the characterization of the principal eigenvalue in (1.5), we obtain

μ β = Ω | u β | 2 + β Ω | u β | 2 | v β | 2 Ω | u β | 2 λ 1 ( Ω ) > 0 .

Similarly, we can get νβλ1(Ω). Since uβ0, vβ0, by the strong maximum principle and noting that M is cooperative, we infer that uβ>0, vβ>0. In fact, we take u1,β as example. According to (2.1) and observing that M is cooperative, i.e., m12(x)>0 for all xΩ, we have

{ - Δ u 1 , β - ( μ β m 11 ( x ) - β ( v 1 , β 2 + v 2 , β 2 ) ) u 1 , β = μ β m 12 ( x ) u 2 , β 0 , x Ω , u 1 , β ( x ) 0 , x Ω .

The strong maximum principle implies that either u1,β0 or u1,β>0 in Ω. If the former is satisfied, by the above equation for u1,β, we deduce that u2,β0, which contradicts the fact that uβΣ. Thus, u1,β>0 in Ω, similarly u2,β>0, v1,β>0, v2,β>0, and we obtain a positive energy minimizer for cβ. ∎

In fact, Lemma 2.1 gives the proof of Theorem 1.1.

Next, we establish some uniform bounds (in β) in the L-norm, and then in Hölder spaces for the minimizer (uβ,vβ).

Lemma 2.2.

Let (uβ,vβ) be a positive energy minimizer obtained in Lemma 2.1. Then (uβ,vβ)H01(Ω) and (uβ,vβ)L(Ω) are uniformly bounded for β(0,+).

Proof.

We divide the proof into three steps for clarity.

Step 1: Let ω1 and ω2 be disjoint smooth domains satisfying ωjΩ, j=1,2. By [6, Theorem 1.1], there is a positive vector eigenfunction u[H01(ω1)]2 (respectively v[H01(ω2)]2) associating with the principal eigenvalue λ1(ω1) (respectively λ1(ω2)) to system (1.4). Moreover, after extending u (respectively v) by zero outside ω1 (respectively ω2), we may assume u,vΣ. Then we have

C ¯ : = λ 1 ( ω 1 ) + λ 1 ( ω 2 ) = ω 1 | u | 2 + ω 2 | v | 2 = 2 J β ( u , v ) 2 c β for all β > 0 .

Step 2: Since cβ=Jβ(uβ,vβ), note that βΩ|uβ|2|vβ|20. Then there exists a positive constant C independent of β such that

Ω | u β | 2 + Ω | v β | 2 C , β Ω | u β | 2 | v β | 2 C .

Thus, we obtain (uβ,vβ)H01(Ω)C. Besides, combining with (2.1), we can also get the upper bound of μβ and νβ, denoted by μ¯ and ν¯. By the proof of Lemma 2.1, we have μβ,νβλ1(Ω). Therefore, μβ,νβ are uniformly bounded in β.

Step 3: By (2.1), noticing that ui,β>0, i=1,2, we have

- Δ u i , β = μ β j = 1 2 m i j u j , β - β u i , β ( v 1 , β 2 + v 2 , β 2 ) μ ¯ d j = 1 2 u j , β ,

where d:=max1i,j2maxxΩ¯|mij(x)|. Summing up in i yields

- Δ ( j = 1 2 u j , β ) 2 μ ¯ d ( j = 1 2 u j , β ) ,

and a similar argument holds for j=12vj,β, so we can deduce the L bounds by using a standard Brezis–Kato-type argument together with the H01 bounds. ∎

Theorem 2.3.

Let (uβ,vβ) be a positive energy minimizer obtained in Lemma 2.1. There exists (u,v)Σ×Σ such that, up to a subsequence, as β+, the following statements hold:

  1. u β u , v β v in [ H 0 1 ( Ω ) ] 2 [ C 0 , α ( Ω ¯ ) ] 2 for all α ( 0 , 1 ) ;

  2. we have

    Ω β ( j = 1 2 u j , β 2 ) ( j = 1 2 v j , β 2 ) 0 𝑎𝑛𝑑 u i , v j , 0 for all i , j ;

  3. moreover,

    - Δ u = μ M u 𝑖𝑛 ω u : = { x Ω : u 1 , 2 ( x ) + u 2 , 2 ( x ) > 0 } ,
    - Δ v = ν M v 𝑖𝑛 ω v : = { x Ω : v 1 , 2 ( x ) + v 2 , 2 ( x ) > 0 } ,

    where μ = lim β + μ β , ν=limβ+νβ. Besides, for all x0Ω, r(0,dist(x0,Ω)),

    B r ( x 0 ) | u | 2 d x = B r ( x 0 ) u n u + μ B r ( x 0 ) M u u ,
    B r ( x 0 ) | v | 2 d x = B r ( x 0 ) v n v + ν B r ( x 0 ) M v v ;

  4. u > 0 in ω u , v>0 in ωv.

Proof.

To prove the uniformly bounded Hölder norms of (uβ,vβ), we adopt a strategy similar to [22, Theorem 3.11]. Namely, we assume by contradiction that

L β : = max 1 i , j 2 { [ u i , β ] α , [ v j , β ] α } + ,

where

[ w ] α = max x , y Ω ¯ | w ( x ) - w ( y ) | | x - y | α .

Moreover, without loss of generality, we may assume

L β = | u 1 , β ( x β ) - u 1 , β ( y β ) | | x β - y β | α

and xβΩ (note that ui,β satisfy Dirichlet boundary conditions). Besides, by Lemma 2.2, we know (uβ,vβ) has uniform L-bound, which implies |xβ-yβ|0.

Next, we define the rescaled functions

u ¯ i , β ( x ) = 1 L β r β α u i , β ( x β + r β x ) , v ¯ i , β ( x ) = 1 L β r β α v i , β ( x β + r β x ) ,

where rβ0 is a sequence to be chosen later. Then we obtain a system of four equations

(2.2) { - Δ u ¯ i , β = j = 1 2 r β 2 μ β m i j u ¯ j , β - β M β u ¯ i , β ( v ¯ 1 , β 2 + v ¯ 2 , β 2 ) , - Δ v ¯ i , β = j = 1 2 r β 2 ν β m i j v ¯ j , β - β M β v ¯ i , β ( u ¯ 1 , β 2 + u ¯ 2 , β 2 ) in Ω β ,

where

i = 1 , 2 , Ω β : = { x N : x β + r β x Ω } , M β : = L β 2 r β 2 α + 2 .

Furthermore, we get

max 1 i , j 2 { [ u ¯ i , β ] α , [ v ¯ j , β ] α } = | u ¯ 1 , β ( 0 ) - u ¯ 1 , β ( y β - x β r β ) | | y β - x β r β | α = 1 .

By the proof of Lemma 2.2, we know that there exist two positive constants C and d such that

(2.3) λ 1 ( Ω ) μ β , ν β C , d = max 1 i , j 2 max x Ω ¯ | m i j ( x ) | .

Claim 1.

If

(2.4) lim inf β + β M β > 0 , lim sup β + | x β - y β | r β : = R < ,

then

d β : = j = 1 2 u ¯ j , β 2 ( 0 ) , e β : = j = 1 2 v ¯ j , β 2 ( 0 )

are uniformly bounded in β(0,+).

By contradiction we assume that dβ+ and take R satisfying R2R. Let η be a smooth cutoff function such that η=1 in BR(0) and η=0 in NB2R(0). Testing the first two equations for u¯i,β (i=1,2) in (2.2) with u¯i,βη2 respectively, we obtain

β M β B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) C B 2 R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) .

By (2.4), we have lim infβ+βMβδ for some δ>0, which implies

(2.5) δ B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) C B 2 R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) .

By the uniform Hölder continuity of u¯β,v¯β, we have

sup B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) C inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) + C , sup B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) C inf B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) + C .

Thus, we obtain

sup B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) sup B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) sup B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) C inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) inf B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) + C inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) + C inf B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) + C C inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) + C inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) + C inf B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) + C .

Noticing (2.5), we can infer that

(2.6) ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) C 1 ( j = 1 2 u ¯ j , β 2 ) + C 2 ( j = 1 2 v ¯ j , β 2 ) + C 3 for all x B R ( 0 ) ,

where all the constants C, C1, C2 and C3 depend only on R and are independent of β. Note that dβ+. Then we have

(2.7) C 2 ( j = 1 2 v ¯ j , β 2 ) 1 2 ( j = 1 2 u ¯ j , β 2 ) ( j = 1 2 v ¯ j , β 2 ) , β 1 .

Combining with (2.6) and (2.7), we deduce that

(2.8) sup B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) C .

Set

I β = β M β inf B R ( 0 ) ( j = 1 2 u ¯ j , β 2 ) + .

Noticing that with (2.2) and (2.3), v¯i,β0, i=1,2, we obtain

- Δ i = 1 2 v ¯ i , β C r β 2 i = 1 2 v ¯ i , β - I β i = 1 2 v ¯ i , β in B R ( 0 ) .

Since rβ0, Iβ+, as β large enough, we have

- Δ i = 1 2 v ¯ i , β - I β 2 i = 1 2 v ¯ i , β in B R ( 0 ) .

Thus, the decay estimate [9, Lemma 4.4] gives i=12v¯i,βC1e-C2Iβ in BR/2(0), which jointly with (2.2) implies Δu¯i,βL(BR/2(0))0 for every R2R. Set u^β:=u¯1,β(x)-u¯1,β(0). Then, from the uniformly bounded Hölder norm of u¯β, we can see that u^β converges uniformly in compact sets to a nonconstant, harmonic, Hölder continuous function in Ω, where Ω is either N or a half-space of N. Arguing as in [21, p.282], we get a contradiction with the Liouville theorem of [21]. We have shown that {dβ} is uniformly bounded.

Assume that {eβ} is unbounded, and consider the quantity (for R2R fixed)

I ~ β : = inf β M β inf B R ( 0 ) ( j = 1 2 v ¯ j , β 2 ) + .

By the Kato inequality, for β large enough, by the first two equations of (2.2), we get

- Δ i = 1 2 | u ¯ i , β | - I ~ β 2 i = 1 2 | u ¯ i , β | in B R ( 0 ) .

Noting that u¯β is bounded on BR(0), by [9, Lemma 4.4],

sup B R ( 0 ) i = 1 2 | u ¯ i , β | C e - α R I ~ β

and hence Δu¯i,βL(BR/2(0))0 as β. Arguing as before, we deduce a contradiction.

Claim 2.

As β, we have βLβ2|xβ-yβ|2α+2. We assume by contradiction that βLβ2|xβ-yβ|2α+2 is bounded. Then we can choose rβ=(βLβ2)-12α+2. By this choice, we find that βMβ=1. Note that |xβ-yβ|rβ is bounded by our assumption; applying Claim 1, we conclude that u¯i,βu¯i,, v¯i,βv¯i, uniformly in any compact set, and

{ - Δ u ¯ i , = - u ¯ i , ( v ¯ 1 , 2 + v ¯ 2 , 2 ) , - Δ v ¯ i , = - v ¯ i , ( u ¯ 1 , 2 + u ¯ 2 , 2 ) 𝑖𝑛 Ω .

Moreover, all these functions are Hölder continuous, and u¯1, is not constant.

If Ω is a half-space of N, we can easily obtain a contradiction by an argument similar to [21, Lemma 3.5].

If Ω=N, by the Kato inequality, we have -Δ|u¯|-c|u¯||v¯|2 and -Δ|v¯|-c|v¯||u¯|2, where |u¯|=i2|u¯i,|,|v¯|=i2|v¯i,|. We may assume that c=1 by possibly replacing |u¯| and |v¯| with c|u¯| and c|v¯| respectively. If we check the proof of [21, Lemma 2.5] carefully, we will find that the lemma also holds for |u¯| and |v¯|. With this lemma at hand, by [21, Proposition 2.6], we can deduce that one of |u¯| and |v¯| is identically 0 and the other is constant. The case |u¯|0 contradicts the fact that u¯1, is not constant. Thus, |v¯|0. However, noting the equation that u¯1, satisfies, we know that u¯1, is a nonnegative harmonic function in N. By the classical Liouville theorem, u¯1, must be a constant, which is a contradiction. Thus, we finish the proof of Claim 2.

By Claims 1 and 2, we can deduce a contradiction by arguing as in [22, Step B] (for the case q=2 there). Thus, {Lβ} is uniformly bounded, i.e., uβ and vβ are uniformly Hölder bounded.

In the following proof, all arguments about u can also be applied to that of v; thus we only prove the conclusions for u.

For (i) and (ii), noting that (uβ,vβ)H01(Ω) is uniformly bounded, there exists

( u , v ) [ H 0 1 ( Ω ) ] 2 × [ H 0 1 ( Ω ) ] 2

such that

( u β , v β ) ( u , v ) weakly in [ H 0 1 ( Ω ) ] 2 × [ H 0 1 ( Ω ) ] 2 a.e. in Ω .

Taking into account the fact that (uβ,vβ)C0,α(Ω¯) is uniformly bounded for every 0<α<1, by the Ascoli–Arzelà theorem, we can get

( u β , v β ) ( u , v ) in [ C 0 , α ( Ω ¯ ) ] 2 × [ C 0 , α ( Ω ¯ ) ] 2 for all  0 < α < 1 .

Set

U β = i = 1 2 | u i , β | , V β = i = 1 2 | v i , β | , U = i = 1 2 | u i , | , V = i = 1 2 | v i , | .

By the Kato inequality and together with (2.1), there exist two positive constants C1 and C2 which are both independent of β such that

- Δ U β C 1 U β - C 2 β U β V β 2 , - Δ V β C 1 V β - C 2 β V β U β 2 in Ω .

Integrating on Ω and noting that Uβ,VβL(Ω)C (cf. Lemma 2.2), we have

Ω β U β V β 2 C Ω U β + C Ω Δ U β = C Ω U β + C Ω n U β C Ω U β C ,

and analogously ΩβVβUβ2C. Thus, we immediately see that UV0 in Ω and have

Ω β U β 2 V β 2 U β L ( Ω { U = 0 } ) Ω β U β V β 2 + V β L ( Ω { V = 0 } ) Ω β V β U β 2 C ( U β L ( Ω { U = 0 } ) + V β L ( Ω { V = 0 } ) ) 0 for β + .

Besides, by testing the first equation in (2.1) with ui,β-ui,, we find

Ω u i , β ( u i , β - u i , ) = Ω μ β j = 1 2 m i j u j , β ( u i , β - u i , ) - Ω β u i , β ( u i , β - u i , ) ( v 1 , β 2 + v 2 , β 2 ) C u i , β - u i , L ( Ω ) 0 ,

which provides H01-convergence. Noticing that uβΣ, we can infer that uΣ.

As for (iii), for every x0ωu, by continuity, we can consider a ball Bδ(x0), where U2γ>0, and hence, by L-convergence, we have Uβγ>0 in Bδ(x0) for large β and VβL(Bδ(x0))0 as β+. Define

I β : = β inf B δ ( x 0 ) U β ( x ) .

Then Iβ+ as β+. By the Kato inequality, we get

- Δ V β C 1 V β - C 2 β V β U β 2 C V β - C I β V β in B δ ( x 0 ) .

Thus, for β large enough, we have

- Δ V β - C I β 2 V β in B δ ( x 0 ) ,

so the decay estimate [9, Lemma 4.4] gives VβC1e-C2Iβ on Bδ/2(x0), which implies

β u i , β ( v 1 , β 2 + v 2 , β 2 ) L ( B δ / 2 ( x 0 ) ) 0 as β , i = 1 , 2 .

Passing to the limits in (2.1), we obtain -Δu=μMu in Bδ/2(x0), where μ=limβ+μβ>0. We multiply the first equation in (2.1) by ui,, integrate by parts, sum up in i and pass to the limit. Then the remaining desired results of (iii) follow.

For (iv), since we need energy estimates for the limit profile (u,v) and the maximum principle, we postpone the proof to Corollary 4.11. ∎

3 Regularity of the Limit Profiles

In this section, to avoid tediously long notations, we will drop the subscript for u,v, μ,ν and abbreviate them into u,v,μ,ν. When it is necessary to write the subscript, we will point it out there.

Lemma 3.1 (Local Pohozaev-Type Identities).

Given x0Ω and r(0,dist(x0,Ω)), we have

( 2 - N ) B r ( x 0 ) | u | 2 + | v | 2 d x = B r ( x 0 ) r ( 2 | n u | 2 - | u | 2 ) d σ + B r ( x 0 ) r ( 2 | n v | 2 - | v | 2 ) d σ + 2 B r ( x 0 ) [ i = 1 2 x - x 0 , u i j = 1 2 μ m i j u j + i = 1 2 x - x 0 , v i j = 1 2 ν m i j v j ] ,

where n denotes the unit outward normal.

Proof.

First, we have the Pohozaev-type (Rellich) identity

(3.1) div ( ( x - x 0 ) | u | 2 - 2 x - x 0 , u u ) = ( N - 2 ) | u | 2 - 2 x - x 0 , u Δ u .

We use identity (3.1) for u=ui,β and combine with (2.1) to obtain

div ( ( x - x 0 ) | u i , β | 2 - 2 x - x 0 , u i , β u i , β ) = ( N - 2 ) | u i , β | 2 - 2 x - x 0 , u i , β Δ u i , β = ( N - 2 ) | u i , β | 2 + 2 x - x 0 , u i , β ( μ β j = 1 2 m i j u j , β - β u i , β | v β | 2 ) .

We integrate by parts the previous identity in Br(x0) and obtain

r B r ( x 0 ) | u i , β | 2 d σ = 2 r B r ( x 0 ) ( n u i , β ) 2 d σ + ( N - 2 ) B r ( x 0 ) | u i , β | 2 + 2 B r ( x 0 ) x - x 0 , u i , β ( μ β j = 1 2 m i j u j , β - β u i , β | v β | 2 ) .

Summing up i, we obtain

(3.2) r B r ( x 0 ) | u β | 2 d σ = 2 r B r ( x 0 ) ( n u β ) 2 d σ + ( N - 2 ) B r ( x 0 ) | u β | 2 + 2 B r ( x 0 ) i = 1 2 x - x 0 , u i , β ( μ β j = 1 2 m i j u j , β - β u i , β | v β | 2 ) .

Arguing similarly for vβ, we have

(3.3) r B r ( x 0 ) | v β | 2 d σ = 2 r B r ( x 0 ) ( n v β ) 2 d σ + ( N - 2 ) B r ( x 0 ) | v β | 2 + 2 B r ( x 0 ) i = 1 2 x - x 0 , v i , β ( ν β j = 1 2 m i j v j , β - β v i , β | u β | 2 ) .

By Theorem 2.3 (ii), we have

- 2 β B r ( x 0 ) i = 1 2 x - x 0 , u i , β u i , β | v β | 2 + i = 1 2 x - x 0 , v i , β v i , β | u β | 2 = - β B r ( x 0 ) x - x 0 , ( | v β | 2 | u β | 2 ) = β B r ( x 0 ) N | v β | 2 | u β | 2 d x - β B r ( x 0 ) r | v β | 2 | u β | 2 d σ 0 as β + .

Thus, by (3.2), (3.3), as β+, we obtain

( 2 - N ) B r ( x 0 ) | u | 2 + | v | 2 d x = B r ( x 0 ) r ( 2 | n u | 2 - | u | 2 ) d σ + B r ( x 0 ) r ( 2 | n v | 2 - | v | 2 ) d σ + 2 B r ( x 0 ) [ i = 1 2 x - x 0 , u i j = 1 2 μ m i j u j + i = 1 2 x - x 0 , v i j = 1 2 ν m i j v j ] ,

where μ=limβ+μβ, ν=limβ+νβ. ∎

For the limit profile (u,v), define

E ( r ) = E ( x 0 , ( u , v ) , r ) = 1 r N - 2 B r ( x 0 ) ( | u | 2 + | v | 2 - μ M u u - ν M v v ) d x ,
H ( r ) = H ( x 0 , ( u , v ) , r ) = 1 r N - 1 B r ( x 0 ) ( | u | 2 + | v | 2 ) d σ ,
N ( r ) = N ( x 0 , ( u , v ) , r ) = E ( r ) H ( r ) .

With the above definitions at hand, we give the following Almgren’s monotonicity formula.

Theorem 3.2.

Given Ω~Ω, there exist C~=C~(μ,ν,d,Ω~)>0 and r~=r~(μ,ν,d,Ω~)>0 such that, for every x0Ω~ and r(0,r~], we have H(x0,(u,v),r)0, N(x0,(u,v),r) is an absolutely continuous function and

d d r N ( x 0 , ( u , v ) , r ) - C ~ ( N ( x 0 , ( u , v ) , r ) + 1 ) .

In particular, eC~r(N(x0,(u,v),r)+1) is a nondecreasing function for r(0,r~], and the limit

N ( x 0 , ( u , v ) , 0 + ) : = lim r 0 + N ( x 0 , ( u , v ) , r )

exists and is finite. Moreover,

d d r log H ( x 0 , ( u , v ) , r ) = 2 r N ( x 0 , ( u , v ) , r ) ,

and the common nodal set Γu,v:={xΩ:ui(x)=0,vi(x)=0, 1i2} has no interior points.

Proof.

Differentiating E(r) with respect to r and combining with Lemma 3.1, we obtain

d E ( r ) d r = 2 r N - 2 B r ( x 0 ) ( | n u | 2 + | n v | 2 ) d σ + R ( x 0 , ( u , v ) , r ) ,

where

R ( r ) : = R ( x 0 , ( u , v ) , r ) = 2 r N - 1 B r ( x 0 ) [ i = 1 2 x - x 0 , u i j = 1 2 μ m i j u j + i = 1 2 x - x 0 , v i j = 1 2 ν m i j v j ] + N - 2 r N - 1 B r ( x 0 ) μ M u u + ν M v v d x - 1 r N - 2 B r ( x 0 ) μ M u u + ν M v v d σ .

By Theorem 2.3 (iii), we have

E ( r ) = 1 r N - 2 B r ( x 0 ) ( u n u + v n v ) .

Besides, one has

d H ( r ) d r = 2 r N - 1 B r ( x 0 ) ( u n u + v n v ) .

Thus, we easily see that

d d r log H ( r ) = H ( r ) H ( r ) = 2 r E ( r ) H ( r ) = 2 r N ( r ) .

Next, we compute the derivative of N(r).

N ( r ) = E ( r ) H ( r ) - E ( r ) H ( r ) H 2 ( r ) = 2 r 2 N - 3 H 2 ( r ) [ B r ( x 0 ) ( | n u | 2 + | n v | 2 ) d σ B r ( x 0 ) ( | u | 2 + | v | 2 ) d σ - ( B r ( x 0 ) ( u n u + v n v ) d σ ) 2 ] + R ( r ) H ( r ) R ( r ) H ( r ) ,

where the last inequality follows from the Hölder inequality.

Now it remains to estimate the term R(r). Recall that d=max1i,j2maxxΩ¯|mij(x)|. For given Ω~Ω, there exists a C=C(μ,ν,d,N,Ω~)>0 such that, for every x0Ω~ and 0<r<dist(Ω~,Ω),

(3.4) | R ( r ) | C r N - 1 B r ( x 0 ) r ( | u | | u | + | v | | v | ) + C r N - 1 B r ( x 0 ) ( | u | 2 + | v | 2 ) d x + C r N - 2 B r ( x 0 ) ( | u | 2 + | v | 2 ) d σ C ( 1 r N - 2 B r ( x 0 ) ( | u | 2 + | v | 2 ) + 1 r N B r ( x 0 ) ( | u | 2 + | v | 2 ) + 1 r N - 1 B r ( x 0 ) ( | u | 2 + | v | 2 ) d σ ) = C ( E ( r ) + H ( r ) ) + C r N B r ( x 0 ) ( | u | 2 + | v | 2 ) .

Moreover, we have

1 r N - 2 B r ( x 0 ) ( | u | 2 + | v | 2 ) = E ( r ) + 1 r N - 2 B r ( x 0 ) μ M u u + ν M v v E ( r ) + C r 2 r N B r ( x 0 ) ( | u | 2 + | v | 2 ) .

By the Poincaré inequality (see [25, Lemma 3.2]), we obtain

1 r N B r ( x 0 ) ( | u | 2 + | v | 2 ) 1 N - 1 ( 1 r N - 2 B r ( x 0 ) ( | u | 2 + | v | 2 ) + 1 r N - 1 B r ( x 0 ) ( | u | 2 + | v | 2 ) d σ ) 1 N - 1 ( E ( r ) + H ( r ) ) + C r 2 r N B r ( x 0 ) ( | u | 2 + | v | 2 ) .

Thus, we obtain the existence r~<dist(Ω~,Ω) such that

(3.5) 1 r N B r ( x 0 ) ( | u | 2 + | v | 2 ) 2 ( E ( r ) + H ( r ) ) for all x 0 Ω ~ , 0 < r r ~ .

By (3.4) and (3.5), we know that there exists C~=C~(μ,ν,d,Ω~)>0 such that |R(r)|C~(E(r)+H(r)), which implies

N ( r ) R ( r ) H ( r ) - C ~ ( N ( r ) + 1 ) .

Thus, we have

d d r [ e C ~ r ( N ( x 0 , ( u , v ) , r ) + 1 ) ] 0 for all r ( 0 , r ~ ] ,

that is, eC~r(N(x0,(u,v),r)+1) is a nondecreasing function for r(0,r~].

By an argument similar to [22, Theorem 3.21], we can deduce the remaining conclusions, in particular, that Γu,v has no interior points. ∎

Corollary 3.3.

The following statements hold:

  1. given Ω ~ Ω , there exist C ~ = C ~ ( μ , ν , d , Ω ~ ) > 0 and r ~ = r ~ ( μ , ν , d , Ω ~ ) > 0 such that, for every x Ω ~ and 0 < r 1 < r 2 r ~ ,

    H ( x 0 , ( u , v ) , r 2 ) H ( x 0 , ( u , v ) , r 1 ) ( r 2 r 1 ) 2 C ~ ;

  2. the map Ω , xN(x0,(u,v),0+) is upper semi-continuous;

  3. for every x 0 Γ u , v , we have N ( x 0 , ( u , v ) , 0 + ) 1 .

Proof.

The proof follows word by word those of [27, Corollaries 2.6, 2.7 and 2.8]. ∎

Lemma 3.4.

Given Ω~Ω, there exist constants C,r¯>0 such that

H ( x , ( u , v ) , r ) C r 2 𝑓𝑜𝑟  0 < r r ¯ 𝑎𝑛𝑑 x Ω ~ Γ u , v .

Proof.

Applying Theorem 3.2 to the subset Ω~Ω, we know there exist C,r¯>0 such that the function r(N(x,(u,v),r)+1)eCr is nondecreasing for 0<rr¯. If we suppose moreover that xΓu,v, then Corollary 3.3 yields

d d r log H ( x , ( u , v ) , r ) r 2 = 2 r N ( x , ( u , v ) , r - 1 ) = 2 r ( ( N ( x , ( u , v ) , r ) + 1 ) e C r e - C r - 2 ) 2 r ( N ( x , ( ( u , v ) , 0 + ) + 1 ) e - C r - 2 ) 4 r ( e - C r - 1 ) ,

which implies (after integration)

H ( x , ( u , v ) , r ) r 2 H ( x , ( u , v ) , r ¯ ) r ¯ 2 exp ( 0 r ¯ 4 ρ ( 1 - e - C ρ ) d ρ ) C ( u L ( Ω ) 2 + v L ( Ω ) 2 ) C ,

where the last inequality follows from Lemma 2.2 (the uniform L bounds, in β, of uβ and vβ imply that of u and v). ∎

The following lemma has been given in [27, Lemma 3.9], but no proof is offered there. For convenience, we give a proof here.

Lemma 3.5.

Let uC2(Ω) satisfy -Δuau for some a>0. Then, for any ball BR(x0)Ω, we have

u ( x 0 ) 1 | B R | B R ( x 0 ) u + a 2 ( N + 2 ) R 2 u L ( B R ( x 0 ) ) .

Proof.

We may assume that x0=0. Let v be the unique positive solution of

{ - Δ v = 1 in B R , v = 0 on B R .

By [15], v is radially symmetric. Thus, we have

{ ( r N - 1 v ) = - r N - 1 , v ( 0 ) = 0 , v ( R ) = 0 ,

By twice integrating by parts, we can get v(x)=12N(R2-|x|2).

Set u~=u-auv. Then, by -Δuau, we have -Δu~au-au0. According to the mean value theorem for subharmonic functions (cf. [16, Theorem 2.1]),

u ~ ( 0 ) 1 | B R | B R u ~ ( x ) .

By a direct computation,

1 | B R | B R v ( x ) d x = R 2 N ( N + 2 ) ,

and thus

a u [ v ( 0 ) - 1 | B R | B R v ] = a u R 2 2 ( N + 2 ) .

This gives our desired result. ∎

Theorem 3.6.

The limit profiles u and v are Lipschitz continuous.

Proof.

Given any Ω~Ω, we show that (u,v) is Lipschitz continuous in Ω~. Let

D = { x Ω ~ , r + : 2 r < dist ( Ω ~ , Ω ) } ,

and define

ϕ ( x , r ) = 1 r N B r ( x ) | u | 2 + | v | 2 .

It suffices to show that supDϕ(x,r)< (a.e. Lebesgue points).

Let us assume by contradiction that supDϕ(x,r)=+. Then there exist {(xk,rk)}D such that

(3.6) lim n + 1 r k N B r k ( x k ) | u | 2 + | v | 2 = + ,

where (xk)Ω~,rk0. Now (up to a subsequence), there are two possibilities: either dist(xk,Γu,v)/rk+ or dist(xk,Γu,v)/rkK, with K independent of k.

Case 1:dist(xk,Γu,v)/rk+ as k+.

Subcase 1.1:lim infk+dist(xk,Γu,v)γ>0. Let xkx0Ω~¯. For k large, we have Brk(xk)Bγ/4(x0) and Bγ/2(x0)Γu,v=. Since Γu,v has no interior points and |u||v|0, we may assume that u>0,v0 in Bγ/2(x0). Then u satisfies the system

- Δ u = μ M u : = f ( x , u ) in B γ / 2 ( x 0 ) .

By taking q>N, we obtain the existence of C>0 independent of k such that

[ u i ] C 0 , 1 ( B γ / 4 ( x 0 ) ) C ( u i L q ( B γ / 2 ( x 0 ) ) + f i ( x , u ) L q ( B γ / 2 ( x 0 ) ) ) C γ N / q u L ( B γ / 2 ( x 0 ) ) C ,

where the first inequality is a consequence of the Lq estimate (see [26, Theorem B.2]) and the embedding W2,qC0,1 for q>N, which implies uL(Bγ/4(x0))C. Note that Brk(xk)Bγ/4(x0), which contradicts (3.6).

Subcase 1.2:dist(xk,Γu,v)0, dist(xk,Γu,v)/rk+. Let Rk:=12dist(xk,Γu,v). Then BRk(xk)Γu,v=. Since Γu,v has no interior points and |u||v|0, up to a subsequence, we may assume that u>0, v0 in BRk(xk). Then u satisfies the system

- Δ u = μ M u : = f ( x , u ) in B R k ( x k ) .

By taking q>N, we obtain the existence of C>0 independent of k such that

[ u i ] C 0 , 1 ( B R k / 2 ( x k ) ) C R k - 1 ( R k - N / q u i L q ( B R k ( x k ) ) + R k 2 - N / q f i ( x , u ) L q ( B R k ( x k ) ) ) C R k - 1 u L ( B R k ( x k ) ) ( 1 + R k 2 ) .

By Lemma 3.4, we deduce that

1 | B r ( x ) | B r ( x ) | u | 2 C r 2 for every x Ω ~ Γ u , v and  0 < r r ¯ .

Take an arbitrary sequence ykBRk(xk), and denote

s k = 1 2 dist ( y k , Γ u , v ) 3 2 R k 0 .

Noting that Bsk(yk)Γu,v=, we have -ΔuμMu in Bsk(yk). Let |u|2=i=12ui2. Then we get -Δ|u|2C|u|2 in Bsk(yk). Take wkΓu,v such that dist(yk,Γu,v)=|yk-wk|. By Lemma 3.5, we have that, for k large, there exist constants C,C>0 independent of k such that

| u | 2 ( y k ) 1 | B s k ( y k ) | B s k ( y k ) | u | 2 + C s k 2 u L ( B s k ( y k ) ) 2 3 N | B 3 s k ( w k ) | B 3 s k ( w k ) | u | 2 + C s k 2 u L ( B s k ( y k ) ) 2 C s k 2 C R k 2 ,

which shows that Rk-1uL(BRk(xk))C for large k, and hence uL(BRk/2(xk))C, which contradicts (3.6) since Brk(xk)BRk/2(xk) for large k.

Case 2:dist(xk,Γu,v)/rkK. In this case, there is a sequence of ykΓ such that

| y k - x k | = dist ( x k , Γ u , v ) K r k .

Noting that Brk(xk)B(K+1)rk(yk) and (K+1)rk0, we get

(3.7) 1 r k N B r k ( x k ) | u | 2 + | v | 2 1 r k N B ( K + 1 ) r k ( y k ) | u | 2 + | v | 2 C 1 r k 2 ( E ( y k , ( u , v ) , ( K + 1 ) r k ) + H ( y k , ( u , v ) , ( K + 1 ) r k ) ) C H ( y k , ( u , v ) , ( K + 1 ) r k ) r k 2 ( N ( y k , ( u , v ) , ( K + 1 ) r k ) + 1 ) e c ( K + 1 ) r k e - c ( K + 1 ) r k C H ( y k , ( u , v ) , ( K + 1 ) r k ) r k 2 ( N ( y k , ( u , v ) , ( K + 1 ) r ¯ ) + 1 ) e c ( K + 1 ) r ¯ C H ( y k , ( u , v ) , ( K + 1 ) r k ) r k 2 ,

where r¯=12dist(Ω~,Ω)>0, supxΩ~N(x,(u,v),(K+1)r¯)<+. Besides, we have

(3.8) d d ρ log H ( y k , ( u , v ) , ρ ) ρ 2 = ( log H ( y k , ( u , v ) , ρ ) - 2 log ρ ) = 2 N ( y k , ( u , v ) , ρ ) ρ - 2 ρ .

Integrating (3.8) from (K+1)rk to r¯ and observing that

e c ρ ( N ( y k , ( u , v ) , ρ ) + 1 ) N ( y k , ( u , v ) , 0 + ) + 1 2 ,

by Lemma 3.4, we obtain

H ( y k , ( u , v ) , ( K + 1 ) r k ) r k 2 C H ( y k , ( u , v ) , r ¯ ) r ¯ 2 < .

Then (3.7) contradicts (3.6). ∎

Collecting all previous results in Sections 2 and 3, we can give the proof of Theorem 1.2. To consist with Theorem 1.2, we write the subscript in the following proof.

Proof of Theorem 1.2.

Theorem 1.2 (i), (ii) and (iv) can be deduced from Theorem 2.3. The Lipschitz continuity of (u,v) follows from Theorem 3.6. By the Lipschitz continuity of (u,v), we know that ωu,ωv are open. Finally, the extremality conditions in Theorem 1.2 (v) follow from the direct derivative for E~(x0,(u,v),r) and Lemma 3.1. ∎

4 The Optimal Partition for Elliptic Systems

To simplify the notation, we present the proofs of the theorems for the case k=2 (see (1.6)). It is clear that the general case follows exactly in the same way.

We study the following optimal partition problem for elliptic systems:

(4.1) c : = inf 𝒫 2 ( Ω ) [ λ 1 ( ω 1 ) + λ 1 ( ω 2 ) ] ,

where λ1(ω) denotes the principal eigenvalue to system (1.4) on ω.

First, we relax problem (4.1) in the following way. For any measurable ωΩ (here we do not assume that ω is open), let λ1(ω) denote

λ 1 ( ω ) = inf { ω | u | 2 ω M u u : u [ H 0 1 ( Ω ) ] n , ω M u u > 0 , u i = 0 a.e. on Ω ω ,  1 i n } .

Let us introduce the relaxed partitions

𝒫 2 * ( Ω ) = { ( ω 1 , ω 2 ) : ω i is measurable , ω i Ω , i = 1 , 2 , ω 1 ω 2 = }

and the relaxed minimization problem

(4.2) c ~ : = inf 𝒫 2 * ( Ω ) λ 1 ( ω 1 ) + λ 1 ( ω 2 ) .

Clearly, c~c. Nevertheless, we will see that (4.1) and (4.2) are in fact equivalent in Remark 4.6.

Taking into account the variational characterization for λ1, we get that the infimum value in (4.2) becomes

(4.3) c ~ = inf { Ω | u | 2 Ω M u u + Ω | v | 2 Ω M v v : u , v [ H 0 1 ( Ω ) ] n , Ω M u u > 0 , Ω M v v > 0 , u i v j 0 ,  1 i , j n } .

Since M is cooperative, we have

Ω M ( u 1 , , u n ) ( u 1 , , u n ) Ω M ( | u 1 | , , | u n | ) ( | u 1 | , , | u n | )

for every u=(u1,,un)[H01(Ω)]n. This implies that (4.3) is equivalent to the problem (see the introduction)

(4.4) c ~ = inf { Ω | u | 2 Ω M u u + Ω | v | 2 Ω M v v : u , v [ H 0 1 ( Ω ) ] n , Ω M u u > 0 , Ω M v v > 0 , u i 0 , v j 0 , u i v j 0 ,  1 i , j n } .

Noting the homogeneity of the ratio, we can also write (4.4) as

(4.5) c ~ = inf { Ω | u | 2 + Ω | v | 2 : u , v [ H 0 1 ( Ω ) ] n , Ω M u u = 1 , Ω M v v = 1 , u i 0 , v j 0 , u i v j 0 ,  1 i , j n } .

Thus, it only suffices to focus on problem (4.5) later.

In order to handle it as a limit problem, we introduce the energy functional by

(4.6) J β ( u , v ) : = Ω | u | 2 + Ω | v | 2 + 2 β q Ω | u | q | v | q ,

where β>0, and 2<2q4 if N=2,3 and 2<2q<2*=2NN-2 if N4, and we give the constrained set by

Σ : = { w = ( w 1 , , w n ) [ H 0 1 ( Ω ) ] n : Ω M w w = 1 , w i 0 , i = 1 , , n } .

Then consider the minimizing problem

c β : = inf ( u , v ) Σ × Σ J β ( u , v ) .

We will see that the minimizer of (4.5) can be approximated by the minimizer for cβ in

( [ H 0 1 ( Ω ) ] n [ C 0 , α ( Ω ¯ ) ] n ) × ( [ H 0 1 ( Ω ) ] n [ C 0 , α ( Ω ¯ ) ] n ) for all α ( 0 , 1 ) as β + .

Remark 4.1.

In this section, we adopt some notations of the introduction, which have been used in Sections 2 and 3. The aim to do this is twofold: On the one hand, we think there is no risk of confusion. On the other hand, it is convenient to make an analogy with the proofs in Sections 2 and 3.

Lemma 4.2.

For fixed β>0, there exists a positive minimizer (uβ,vβ) for cβ. Moreover, (uβ,vβ)H01(Ω) and (uβ,vβ)L(Ω) are uniformly bounded for β(0,+), and cβc for every β>0.

Proof.

First, we prove that cβc for all β>0. In fact, for any given (ω1,ω2)𝒫2(Ω), we consider the first eigenfunction u (respectively v) associated with the principal eigenvalue λ1(ω1) (respectively λ1(ω2)) to system (1.4). Moreover, we may assume that u,vΣ. Then, since ω1ω2=,

λ 1 ( ω 1 ) + λ 1 ( ω 2 ) = ω 1 | u | 2 + ω 2 | v | 2 = J β ( u , v ) c β for all β > 0 ,

and hence cβc. The remaining parts of the proof just follow from the proofs of Lemmas 2.1 and 2.2 with minor changes. ∎

Remark 4.3.

By (4.5), we easily see that cβc~ for every β>0 too.

Remark 4.4.

Since (uβ,vβ) achieves cβ, Lagrange multiplier rules can be applied to deduce that there exist two constants μβ and νβ such that (uβ,vβ) satisfies the following system of 2n equations, where i=1,,n:

(4.7) { - Δ u i , β = μ β j = 1 n m i j u j , β - β u i , β | u β | q - 2 | v β | q , - Δ v i , β = ν β j = 1 n m i j v j , β - β v i , β | u β | q | v β | q - 2 .

Theorem 4.5.

Let (uβ,vβ) be a minimizer for cβ. Then there exists (u,v)Σ×Σ such that, up to a subsequence, as β+, the following statements hold:

  1. u β u , v β v in [ H 0 1 ( Ω ) ] n [ C 0 , α ( Ω ¯ ) ] n for all 0 < α < 1 ;

  2. we have

    Ω β ( j = 1 n u j , β 2 ) q 2 ( j = 1 n v j , β 2 ) q 2 0 𝑎𝑛𝑑 u i v j 0 for all i , j ;

  3. moreover,

    - Δ u = μ M u 𝑖𝑛 ω u : = { x Ω : u 1 2 + + u n 2 > 0 } ,
    - Δ v = ν M v 𝑖𝑛 ω v : = { x Ω : v 1 2 + + v n 2 > 0 } ,

    where μ = lim β + μ β , ν=limβ+νβ and μβ,νβ are two Lagrange multipliers to system (4.7). Besides, for every x0Ω and r(0,dist(x0,Ω)),

    B r ( x 0 ) | u | 2 d x = B r ( x 0 ) u n u + μ B r ( x 0 ) M u u ,
    B r ( x 0 ) | v | 2 d x = B r ( x 0 ) v n v + ν B r ( x 0 ) M v v ;

  4. ( ω u , ω v ) is a minimizer for c .

Proof.

The proof of (i)–(iii) essentially imitates that of Theorem 2.3. Here we only give the part which we need to take extra care of.

When we prove the uniform Höder bounds of (uβ,vβ), as Claim 1 of Theorem 2.3, the local boundedness supBR(0)(j=1nv¯j,β2) of |vβ|2 can be obtained similarly to the proof of (2.8) by the assumption that dβ+. Set

I β = β M β inf B R ( 0 ) ( j = 1 k u ¯ j , β 2 ) q 2 + ,

Combining with (4.7) and noting that v¯i,β>0, i=1,,n, in virtue of the relationship that i=1nv¯i,β|vβ| (i.e., |vβ|i=1nv¯i,βn|vβ|), we have

- Δ i = 1 n v ¯ i , β C r β 2 i = 1 n v ¯ i , β - C I β ( i = 1 n v ¯ i , β ) q - 1 in B R ( 0 ) .

Recalling the assumptions on q in the definition of the energy functional Jβ(u,v) of (4.6), we have 1<q2; thus xq-1C~x for all x(0,C*) with some C~ only dependent on C*. Since supBR(0)(j=1nv¯j,β2)C, we get supBR(0)i=1nv¯i,βC* for some C*>0 and

- Δ i = 1 n v ¯ i , β C r β 2 i = 1 n v ¯ i , β - C ~ I β i = 1 n v ¯ i , β - C I β i = 1 n v ¯ i , β in B R ( 0 ) for large β ,

so [9, Lemma 4.4] gives i=1nv¯i,βC1e-C2Iβ in BR/2(0). Therefore, we get Δu¯i,βL(BR/2(0))0. Next, we can take an argument similar to [22, pp. 384–387] to obtain a contradiction, and hence obtain the uniform Höder bounds of (uβ,vβ).

For (iv), by (ii) and the continuity of (u,v), we have that ωu and ωv are two disjoint open sets, and hence (ωu,ωv)𝒫2(Ω). Observing that u,vΣ, by Lemma 4.2, we obtain

c λ 1 ( ω u ) + λ 1 ( ω v ) = Ω | u | 2 + Ω | v | 2 lim inf β ( Ω | u β | 2 + Ω | v β | 2 + 2 β q Ω | u β | q | v β | q ) lim sup β c β c ,

which means that c can be achieved by (ωu,ωv). ∎

Remark 4.6.

From the above inequality, we have c=limβcβ. According to Remark 4.3, one can get limβcβc~ and hence cc~. From the very definition of c~, we have the opposite inequality. Thus, c=c~. Therefore, we have the following alternative characterization for c:

c = inf { Ω | u | 2 + Ω | v | 2 : u , v [ H 0 1 ( Ω ) ] n , Ω M u u = Ω M v v = 1 , u i 0 , v j 0 , u i v j 0 ,  1 i , j n } .

Next, we investigate the regularity of the limit profile u and v. For this purpose, we state the local Pohozaev identities for (u,v) whose proof can be argued as that of Lemma 3.1.

Lemma 4.7 (Local Pohozaev-Type Identities).

Given x0Ω and r(0,dist(x0,Ω)), we have

( 2 - N ) B r ( x 0 ) | u | 2 + | v | 2 d x = B r ( x 0 ) r ( 2 | n u | 2 - | u | 2 ) d σ + B r ( x 0 ) r ( 2 | n v | 2 - | v | 2 ) d σ + 2 B r ( x 0 ) [ i = 1 n x - x 0 , u i j = 1 n μ m i j u j + i = 1 n x - x 0 , v i j = 1 n ν m i j v j ] ,

where n denotes the unit outward normal.

With the above preparations, now we can prove an Almgren’s monotonicity formula analogous with Theorem 3.2. Then, as developed in Section 3, we can obtain the following theorem.

Theorem 4.8.

Let (u,v) be the limit profile obtained in Theorem 4.5. Then u and v are Lipschitz continuous.

Next, we give some characterizations on the supports of u and v, that is, ωu and ωv. To this end, we need the following lemma.

Lemma 4.9.

Let ωRN (N2) be a bounded domain, and let λ1(ω) denote the principal eigenvalue to (1.4) on ω. Then we have

(4.8) λ 1 ( ω ) + 𝑎𝑠 Vol ( ω ) 0 .

where Vol(ω) is the volume of ω in RN.

Proof.

To prove limit (4.8), we need to introduce some notations about Schwarz symmetric rearrangements.

Let A be a measurable set of finite volume in N. Its symmetric rearrangement A* is the open centered ball whose volume agrees with A,

A * : = { x N : w N | x | N < Vol ( A ) } ,

where wN represents the volume of unit ball in N.

Let f be a nonnegative measurable function that vanishes at infinity, in the sense that all its positive level sets have finite measure,

Vol ( { x : f ( x ) > t } ) < for all t > 0 .

We define the Schwarz symmetric rearrangement f* of f by symmetrizing its level sets,

f * ( x ) = 0 χ { f ( x ) > t } * d t ,

where χA denotes the characteristic function on A.

Let f and g are two nonnegative functions in H01(ω) (ωN is a bounded domain). Then the following equality or inequalities hold (see [32]):

  1. rearrangement preserves the L2-norm: |f|L2(ω)=|f*|L2(ω*);

  2. Hardy–Littlewood inequality: ωfgω*f*g*;

  3. Pólya–Szegő inequality: |f|L2(ω)|f*|L2(ω*).

Now we commence the proof of (4.8). By a simple rescaling, we easily see that

λ 1 ( B r ) = 1 r 2 λ 1 ( B 1 ) ,

where Br denotes any ball with radius r. This implies

(4.9) λ 1 ( B r ) + , as  r 0 .

In addition, by [6, Theorem 1.1], for any bounded domain ω, λ1(ω) can be achieved by a positive eigenfunction u=(u1,,un), i.e., ui>0 for every i. Recalling the characterization of λ1(ω) and letting

d ¯ = max 1 i , j n max x ω ¯ | m i j ( x ) | ,

we have

λ 1 ( ω ) = ω | u | 2 ω M u u ω i = 1 n | u i | 2 ω d ¯ i , j = 1 n u i u j .

According to properties (S1)–(S3) of the Schwarz symmetric rearrangement, we obtain

ω i = 1 n | u i | 2 ω d ¯ i , j = 1 n u i u j ω * i = 1 n | u i * | 2 ω * d ¯ i , j = 1 n u i * u j * λ ~ 1 ( ω * ) d ¯ ,

where λ~1(ω*) is the principal eigenvalue to (1.4) with M0=(1)n×n (namely, every element of M0 is 1 ). Noting that ω* is a ball whose radius tends to zero (Vol(ω)=Vol(ω*)) and M0 satisfies (I)–(IV), by virtue of (4.9), we deduce that λ~1(ω*)+ as Vol(ω*)0, and hence λ1(ω)+ as Vol(ω)0. ∎

Theorem 4.10.

ω u and ωv are open and connected.

Proof.

By Theorem 4.8, the limit profiles u and v are Lipschitz continuous. Thus, ωu and ωv are open. Besides, by Lemma 4.9, we have limVol(ω)0λ1(ω)=+. Therefore, we know that ωu and ωv have only finite connected components. Let A1,,Am denote the all connected components for ωu. Then

λ 1 ( ω u ) = min 1 i m λ 1 ( A i ) = λ 1 ( A i 0 ) .

A similar argument holds for ωv. Thus, we may assume that ωu and ωv are connected. Moreover, according to the minimality of the sum λ1(ωu)+λ1(ωv), we infer that ωu and ωv have to be connected. ∎

By Theorem 4.10, we know that ωu and ωv are two open connected domains. Based on this fact, we can obtain further information about the limit profile (u,v).

Corollary 4.11.

u > 0 , i.e., ui>0, where 1in, in ωu, and v>0, i.e., vi>0, where 1in, in ωv.

Proof.

Observing that ωu and ωv are two open connected domains and u,v satisfy the equations given by Theorem 4.5 (iii), we can adopt an argument similar to the proof of Lemma 2.1 to obtain the conclusions. ∎

Summarizing the previous results obtained in Section 4, we can finish the proof of Theorem 1.4.

Proof of Theorem 1.4.

By Theorem 4.5 (iii) and (iv), we get that c can be achieved by (ωu,ωv), where u,v are the associated eigenfunctions with the principal eigenvalues λ1(ωu),λ1(ωv) respectively. In addition, by Theorems 4.8 and 4.10, u and v are Lipschitz continuous, and their supports, namely, ωu and ωv are open connected. Furthermore, by Corollary 4.11, every component of u (respectively v) is strictly positive on its support ωu (respectively ωv). Finally, the extremality conditions follow from the direct derivative for E~(x0,(u,v),r) and Lemma 4.7. ∎


Communicated by Patrizia Pucci


Award Identifier / Grant number: 531118010205

Award Identifier / Grant number: 11771428

Award Identifier / Grant number: 11688101

Funding statement: H. Luo is supported by the Fundamental Research Funds for the Central Universities, grant number 531118010205, and Z. Zhang is supported by the National Natural Science Foundation of China, grant numbers 11771428, 11688101.

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Received: 2018-01-29
Accepted: 2019-07-16
Published Online: 2019-09-13
Published in Print: 2019-11-01

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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