Boundary separated and clustered layer positive solutions for an elliptic Neumann problem with large exponent
Yibin Zhang

TL;DR
This paper constructs positive solutions for a Neumann elliptic problem with large exponent, showing they can form multiple boundary and interior layers concentrating along minimal submanifolds of the boundary.
Contribution
It introduces a constructive method to find solutions with multiple boundary and interior layers concentrating along minimal submanifolds for large exponents.
Findings
Solutions with multiple layers exist for large p.
Layers concentrate along minimal submanifolds of the boundary.
The number of layers can be prescribed by integers k and l.
Abstract
Given a smooth bounded domain in with , we study the existence and the profile of positive solutions for the following elliptic Nenumann problem where is a large exponent and denotes the outer unit normal vector to the boundary . For suitable domains , by a constructive way we prove that, for any non-negative integers , with , if is large enough, such a problem has a family of positive solutions with boundary layers and interior layers which concentrate along distinct -dimensional minimal submanifolds of , or collapse to theβ¦
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering Β· Nonlinear Partial Differential Equations Β· Numerical methods in inverse problems
Boundary separated and clustered layer positive solutions for an elliptic Neumann problem with large exponent
Yibin Zhang
College of Sciences, Nanjing Agricultural University, Nanjing 210095, China
Abstract.
Given a smooth bounded domain in with , we study the existence and the profile of positive solutions for the following elliptic Nenumann problem
[TABLE]
where is a large exponent and denotes the outer unit normal vector to the boundary . For suitable domains , by a constructive way we prove that, for any non-negative integers , with , if is large enough, such a problem has a family of positive solutions with boundary layers and interior layers which concentrate along distinct -dimensional minimal submanifolds of , or collapse to the same -dimensional minimal submanifold of as .
Key words and phrases:
Boundary separated and clustered layer positive solutions; Large exponent; Anisotropic Greenβs function.
2010 Mathematics Subject Classification:
Primary 35B25; Secondary 35B38, 35J25.
1. Introduction
In this paper, we are interested in the following classical elliptic Neumann problem
[TABLE]
where is a smooth bounded domain in , , is a parameter, is a exponent and denotes the outer unit normal vector to the boundary .
Problem (1.1) has received considerable attention in the last three decades, because it appears in many different mathematical models: for example, it arises from the study of steady states for the logarithmic Keller-Segel system in chemotaxis [33] and the shadow system of the Gierer-Meinhardt model in biological pattern formation [23]. In particular, it has been shown that the solutions of (1.1) exhibit a variety of interesting concentration phenomena as either the exponent tends to some critical values or the parameter tends to zero.
Let us first define , as the -th critical exponent (recall that is an integer) and set . In the subcritical case, i.e. , or and , compactness of Sobolevβs embedding ensures the existence of a positive least energy solution of (1.1). For sufficiently small, Lin, Ni and Takagi in [34, 46, 47] proved that this least energy solution has exactly one bounded, very sharp spike located on the boundary and near the most curved part of the boundary, i.e., the region where the mean curvature of the boundary attains its maximum. Higher energy solutions of (1.1) with multiple boundary peaks as well as multiple interior peaks have been established in [12, 13, 14, 20, 25, 29, 30, 31, 32, 36, 56, 58]. It turns out that multiple boundary spikes tend to cluster around critical points of the mean curvature of the boundary, while the location of multiple interior spikes is determined by the distance between the peaks and the boundary. In particular, Gui and Wei in [30] proved that for any non-negative integers , with , problem (1.1) has a solution with exactly different boundary spikes and different interior spikes provided that is small and is subcritical. Generally, such spiky solutions are called solutions with [math]-dimensional concentration sets.
In the critical case, i.e. , such type of concentration phenomena occurs, but the situation is quite different. The lack of compactness of Sobolevβs embedding makes it non-obvious to apply variational techniques to obtain a nonconstant least energy solution of (1.1) when is sufficiently small. The first existence result for a nonconstant least energy solution of (1.1) in general domains and small were obtained by Adimurthi-Mancini [1] and Wang [55]. The profile and asymptotic behavior of this least energy solution has been clarified in the subsequent works [4, 45, 49]. As in the subcritical case, the least energy solution has a unique maximum point or peak that lies on the boundary and goes, as tends to zero, to a maximum point of the mean curvature of the boundary. Unlike the subcritical case, the least energy solution blows up, as tends to zero, at a maximum point of the mean curvature of the boundary. Higher energy solutions with one or more separated or clustered boundary blow-up points have been exhibited for instance in [2, 3, 24, 27, 35, 49, 50, 59], where these blow-up points are nothing but degenerate or non-degenerate critical points of the mean curvature of the boundary. A major difference with the subcritical case is that the condition of positivity for the mean curvature at these critical points turns out to be necessary for the boundary bubbling phenomenon to take place [28, 49]. Note that in striking contrast with the subcritical case, there are no solutions blowing up at only interior points when tends to zero, namely at least one blow-up point has to lie on the boundary, even all of the blow-up points for solutions with uniformly bounded energy have to lie only on the boundary as established in [10, 21, 51]. Moreover, for the subcritical case, spiky solutions with only interior peaks always exist, but these interior peaks must stay in the domain as tends to zero [57]; while for the critical case, interior peaks of solutions could not remain in the domain as tends to zero [24, 26].
The almost first critical case, i.e. with positive and sufficiently small, has been widely studied. In the slightly subcritical case, i.e. , the existence of solutions with simple or non-simple blow-up points located on the boundary near critical points of the mean curvature of the boundary with negative value as for fixed and was established in [11, 52, 54]; while in the slightly supercritical case, i.e. , it was proved in [17, 52, 54] that there also exists a solution with simple or non-simple blow-up points located on the boundary near critical points of the mean curvature of the boundary with positive value as for fixed and . In [53], it was proved that if and tends to zero from below or above, then a solution with one interior blow-up point may exist for finite . Moreover, if , is fixed and the exponent goes to , Musso and Wei in [43] proved that for any non-negative integers , with , problem (1.1) admits a solution with exactly different boundary spikes and different interior spikes, whose location can be characterized by critical points of a certain combination of Greenβs function and its regular part.
It seems natural to ask if problem (1.1) has solutions that exhibit concentration phenomena on -dimensional subsets of for every , as conjectured by Ni in [44]. In particular, given an -dimensional submanifold of and assuming that either or with positive and sufficiently small, one question is to ask whether problem (1.1) admits a solution that concentrates along as either or tends to zero. For results in this direction, we first mention the -th subcritical case, i.e. , where Malchiodi and Montenegro [40, 41] proved that, given any and any , there exist solutions concentrating on the whole boundary if the sequence satisfies some gap condition, corresponding to . Furthermore, the result was extended in [38, 39] for general , and the concentration set is an embedded closed minimal submanifold of which is in addition nondegenerate * in the sense that its Jacobi operator is invertible. Indeed, this phenomenon is rather subtle compared with pointwise concentration: existence can only be achieved along a sequence of parameters . The sequence of parameters must be suitable away from certain values where resonance occurs, and the topological type of the solution changes: unlike the pointwise concentration, the Morse index of these solutions is very large and grows as . Del Pino, Mahmoudi and Musso [16] extended this type of results to the -th critical case * and proved that if is an embedded closed minimal submanifold of with dimension (in particular, ) which is nondegenerate, and a certain weighted average of sectional curvature of is positive along , then problem (1.1) admits a solution for a suitable sequence of parameters which blows up along . Further for the almost -th critical case with but fixed, the same conclusion was established by Deng, Mahmoudi and Musso [19] under analogous assumptions. Meanwhile, for any integer , Manna and Pistoia [42] proved that in some suitable domains , problem (1.1) has a solution which blows up along an -dimensional minimal submanifold of as approaches from either below or above the th critical exponent .
In the present paper we consider the almost -th critical case, i.e. , and give a positive answer when is fixed and goes to . More precisely, we find some domains such that if and is large enough, then for any positive integer , problem (1.1) has a positive solution with distinct mixed interior and boundary layers which concentrate along distinct -dimensional minimal submanifolds of , or collapse to the same -dimensional minimal submanifold of as goes to .
Let be a smooth bounded domain in such that
[TABLE]
Let or be fixed. Fix with and set
[TABLE]
Then is a smooth bounded domain in which is -invariant for the action of the group on given by
[TABLE]
Here denotes the group of linear isometries of . For large enough we shall look for -invariant solutions of problem (1.1) with , i.e. solutions of the form
[TABLE]
Then a simple calculation shows that solves problem (1.1) with if and only if satisfies
[TABLE]
Thus, we are led to study the more general anisotropic problem
[TABLE]
where is a smooth bounded domain in , is a positive smooth function over , is a large exponent and denotes the outer unit normal vector to . Note that if
[TABLE]
then problem (1.5) can be rewritten as equation (1.4).
Our goal is to construct solutions to problem (1.5) with distinct mixed interior and boundary spikes which concentrate at points of , or accumulate to the same point of as goes to . They correspond, via (1.3), to -invariant solutions of problem (1.1) with distinct mixed interior and boundary layers which concentrate along the -orbits of , or collapse to the same -orbit of as goes to . Here
[TABLE]
is a -dimensional minimal submanifold of diffeomorphic to (note that ), where is the unit sphere in .
Let us define the linear differential operator
[TABLE]
and the Greenβs function associated with the Neumann problem
[TABLE]
for every . The regular part of is defined depending on whether lies in the domain or on its boundary as
[TABLE]
Our first result concerns the existence of solutions of problem (1.5) whose interior and boundary spikes are uniformly far away from each other and interior spikes lie in the domain with distance to the boundary uniformly approaching zero.
Theorem 1.1.βββLet , be non-negative integers with and assume that there exist different points such that each is either a strict local maximum or a strict local minimum point of on and satisfies for all , . Then, there exists such that for any , there is a family of positive solutions for problem (1.5) with different boundary spikes and different interior spikes located at distance from . More precisely,
[TABLE]
where , as , on each compact subset of , the parameters , and satisfy
[TABLE]
for some , satisfies
[TABLE]
and for , but for . In particular, for any , as ,
[TABLE]
[TABLE]
and
[TABLE]
The corresponding result for problem (1.1) can be stated as follows.
Theorem 1.2.βββ*Let , be non-negative integers with and be as in (1.2). If the assumption of Theorem 1.1 holds, then there exists such that for any , problem (1.1) has a positive solution with boundary layers and interior layers which concentrate along different -dimensional minimal submanifolds of , namely the -orbit of for every , as . *
Our next result concerns the existence of solutions of problem (1.5) with mixed interior and boundary spikes which accumulate to the same point of the boundary.
Theorem 1.3.βββLet , be non-negative integers with and assume that is a strict local maximum point of and satisfies . Then, there exists such that for any , there is a family of positive solutions for problem (1.5) with different boundary spikes and different interior spikes which accumulate to as . More precisely,
[TABLE]
where , as , on each compact subset of , the parameters , and satisfy
[TABLE]
for some , satisfies
[TABLE]
and for , but for . In particular, for any , as ,
[TABLE]
[TABLE]
and
[TABLE]
The corresponding result for problem (1.1) can be stated as follows.
Theorem 1.4.βββ*Let , be non-negative integers with and be as in (1.2). If the assumption of Theorem 1.3 holds, then there exists such that for any , problem (1.1) has a positive solution with boundary layers and interior layers which collapse to the same -dimensional minimal submanifold of , namely the -orbit of , as . *
Let us remark that the assumptions in Theorems - contain the following two cases:
(A1) β is a strict local maximum point of restricted on ;
(A2) β is a strict local maximum point of restricted in and satisfies .
In fact, arguing as for the proof of Theorem , we can easily find that if (A1) holds, then problem (1.5) has positive solutions with arbitrarily many boundary spikes which accumulate to along ; while if (A2) holds, then problem (1.5) has positive solutions with arbitrarily many interior spikes which accumulate to along the inner normal direction of . For the latter case, it seems that this paper is the first one in the literature obtaining this type of concentration phenomenon for positive solutions of some two-dimensional anisotropic nonlinear elliptic Neumann problems, see [5] as an instance.
The general strategy for proving our main results relies on a very well known Lyapunov-Schmidt reduction. In Section we provide an appropriate approximation for a solution of problem (1.5) and give a basic estimate for the scaling error term created by the choice of our approximation. Then we rewrite problem (1.1) in terms of a linearized operator for which a solvability theory, subject to suitable orthogonality conditions, is performed through solving a linearized problem in Section . In Section we solve an auxiliary nonlinear problem. In Section we reduce the problem of finding spike solutions of (1.5) to that of finding a critical point of a finite-dimensional function. Section concerns with an asymptotic expansion for the finite-dimensional function appeared in Section . Finally, in Section we provide the detailed proof of Theorems and .
In this paper, the letter will always denote a generic positive constant independent of , which could be changed from one line to another. The symbol (respectively ) will denote a quantity for which tends to zero (respectively, stays bounded ) as parameter goes to zero. Moreover, we will use the notation (respectively ) to stand for a quantity which tends to zero (respectively, which remains uniformly bounded) as .
2. An approximation for the solution
In this section we provide an appropriate approximation for a solution of problem (1.5) and give a basic estimate for the scaling error term created by the choice of our approximation. Since the function defined in (1.7) plays an essential role in our construction, we shall first state its asymptotic behavior without proof, see [5] for details.
Consider the vector function as the solution of
[TABLE]
Then standard elliptic regularity theory implies that for any , , and the Sobolev embeddings yield that for any and .
Lemma 2.1 ([5]).ββ*Let be the function described in (2.1). There exists a function such that
(i) for every ,*
[TABLE]
(ii)* the mapping belongs to C^{1}\big{(}\Omega,C^{1}(\overline{\Omega})\big{)}\cap C^{1}\big{(}\partial\Omega,C^{1}(\overline{\Omega})\big{)}.
In this way, y\in\overline{\Omega}\mapsto H(\cdot,y)\in C\big{(}\Omega,C^{\alpha}(\overline{\Omega})\big{)}\cap C\big{(}\partial\Omega,C^{\alpha}(\overline{\Omega})\big{)} and H(x,y)\in C^{\alpha}\big{(}\overline{\Omega}\times\Omega\big{)}\cap C^{\alpha}\big{(}\overline{\Omega}\times\partial\Omega\big{)}\cap C^{1}\big{(}\overline{\Omega}\times\Omega\setminus\{x=y\}\big{)}\cap C^{1}\big{(}\overline{\Omega}\times\partial\Omega\setminus\{x=y\}\big{)} for any , and the corresponding Robinβs function belongs to . *
Let be a sufficiently small but fixed number such that for any with , we can define a reflection of across along the outer normal direction, , and get that . Set
[TABLE]
Lemma 2.2 ([5]).ββThere exists a mapping y\in\Omega_{d}\mapsto\mathrm{z}(\cdot,y)\in C\big{(}\Omega_{d},C^{\alpha}(\overline{\Omega})\big{)}\cap L^{\infty}\big{(}\Omega_{d},C^{\alpha}(\overline{\Omega})\big{)} for any such that for any and ,
[TABLE]
Even more, for any and ,
[TABLE]
*where the mapping belongs to C^{1}\big{(}\overline{\Omega_{d}},\,C^{1}(\overline{\Omega})\big{)}. *
Corollary 2.3.ββUnder the assumptions in Lemma 2.2, the Robinβs function satisfies
[TABLE]
where \mathrm{z}\in C^{1}\big{(}\overline{\Omega_{d}}\big{)} and
[TABLE]
The key ingredient to describe the shape of the approximate solution of (1.5) is based on the standard bubble
[TABLE]
It is well known from [9] that these are all the solutions of the problem
[TABLE]
The configuration space for concentration points we try to seek is the following
[TABLE]
where and is given by
[TABLE]
Let and be fixed. Given number , , yet to be chosen, we define
[TABLE]
and
[TABLE]
Here, , , are radial solutions of
[TABLE]
with
[TABLE]
having asymptotic
[TABLE]
where
[TABLE]
in particular,
[TABLE]
and
[TABLE]
(see [8, 22]). We now approximate the solution of problem (1.5) by
[TABLE]
where is a correction term defined as the solution of
[TABLE]
In order to understand the asymptotic behavior of the correction term , let us first use the convention
[TABLE]
Furthermore, we have the following result, whose proof is postponed to the Appendix.
Lemma 2.4.ββFor any and , then we have
[TABLE]
*uniformly in , where is the regular part of Greenβs function defined in (1.7). *
From Lemma 2.4 we have that away from each point , namely for any ,
[TABLE]
While for with some , by (2.6), (2.10), (2.13), (2.19) and the fact that for any and any we obtain
[TABLE]
and for any ,
[TABLE]
Hence for ,
[TABLE]
is a good approximation for a solution of problem (1.5) provided that the concentration parameters , , are the solution of the nonlinear system
[TABLE]
Indeed, the parameters are well defined in system (2.22), which is stated as follows and proved in the Appendix.
Lemma 2.5.ββFor any points and any large enough, system (2.22) has a unique solution satisfying
[TABLE]
for some . Moreover, for any , one has
[TABLE]
and
[TABLE]
Remark 2.6.ββ Observe that for , by (2.6), (2.9), (2.13) and (2.23),
[TABLE]
Hence by (2.21), we can easily get that in , and as . Moreover, by the maximum principle, we see that over and thus by (2.20), is a positive, uniformly bounded function over . In conclusion, over .
Let us perform the change of variables
[TABLE]
Then by the definition of in (2.9), solves equation (1.5) if and only if the function satisfies
[TABLE]
We write , and define the initial approximate solution of (2.26) as
[TABLE]
with and defined in (2.16). Let us set
[TABLE]
and introduce the functional
[TABLE]
whose nontrivial critical points are solutions of problem (2.26). In fact, by the maximum principle, problem (2.26) is equivalent to
[TABLE]
We will look for solutions of problem (2.26) in the form , where will represent a higher-order correction in the expansion of . Observe that
[TABLE]
where
[TABLE]
and
[TABLE]
In terms of , problem (2.26) becomes
[TABLE]
For any and , let us introduce a weighted -norm defined as
[TABLE]
where is small but fixed independent of . With respect to the -norm, the error term defined in (2.28) can be estimated as follows.
Proposition 2.7.ββLet be a positive integer. There exist constants and such that for any and any ,
[TABLE]
Proof.
Observe that, by (2.16), (2.17) and (2.27),
[TABLE]
Then by (2.6), (2.9), (2.10) and (2.11),
[TABLE]
with . By (2.6), (2.13) and (2.23) we get, if for any , then
[TABLE]
and hence, by (2.12) and (2.32),
[TABLE]
On the other hand, in the same region, by (2.20) and (2.27) we get
[TABLE]
which, together with (2.9), (2.23) and (2.33), implies
[TABLE]
Let us fix an index and the region . By (2.21), (2.27) and the relation
[TABLE]
we get, for ,
[TABLE]
From a Taylor expansion of the exponential and logarithmic functions
[TABLE]
which holds for provided and , so we have that for ,
[TABLE]
which combined with (2.12) and (2.32) gives
[TABLE]
Hence, in this region we get
[TABLE]
Finally, in the remaining region , we have that, by (2.12) and (2.32),
[TABLE]
and by (2.36),
[TABLE]
since . Thus, in this region,
[TABLE]
Combining (2.30), (2.34), (2.38) with (2.39), we conclude that estimate (2.31) holds. β
3. Analysis of the linearized operator
In this section, we prove bounded invertibility of the operator , uniformly on , by using the weighted -norm defined in (2.30). Let us recall that , where . As in Proposition 2.7, we have the following expansions with respect to the potential .
Lemma 3.1.ββLet be a positive integer. There exist constants and such that
[TABLE]
for any points and any . Furthermore,
[TABLE]
*for any , where . *
Proof.βββIf for some , by (2.21), (2.27) and (2.35),
[TABLE]
In this region, using the fact that and U_{1,0}(z)\geq-p+O\big{(}\log p\big{)}, we get
[TABLE]
In particular, from a slight modification of formula (2), namely
[TABLE]
we conclude that if , then
[TABLE]
Additionally, if for all , then by (2.9), (2.20), (2.23) and (2.27),
[TABLE]
Remark 3.2.βββAs for , we mention that if for some , then
[TABLE]
Since this estimate is true if for all , we get
[TABLE]
Let
[TABLE]
It is well known (see [6, 9]) that
- β’
any bounded solution to
[TABLE]
is a linear combination of , ;
- β’
any bounded solution to
[TABLE]
where , is a linear combination of , .
Now we consider the following linear problem: given and points , we find a function and scalars , , , such that
[TABLE]
where if while if , and , , are defined as follows.
Let be a smooth, non-increasing cut-off function such that for a large but fixed number , if , and if .
For (corresponding to interior spike case), we define
[TABLE]
For (corresponding to boundary spike case), we have to straighten the boundary first. More precisely, at the boundary point , we define a rotation map such that . Let be the defining function for the boundary in a small neighborhood of the origin, that is, there exist , small and a smooth function satisfying , and such that . Furthermore, we consider the flattening change of variables be defined by , where
[TABLE]
Then for any , we set
[TABLE]
and define
[TABLE]
It is important to note that , , preserves the Neumann boundary condition and
[TABLE]
Proposition 3.3.ββLet be a positive integer. Then there exist constants and such that for any , any points and any , there is a unique solution of problem (3.6) for some coefficients , , , which satisfies
[TABLE]
The proof of this result will be split into four steps which we state and prove next.
Step 1: Constructing a suitable barrier.
Lemma 3.4.ββThere exist constants and , independent of , such that for any sufficiently large , any points and any , there is a function
[TABLE]
smooth and positive so that
[TABLE]
Moreover, is uniformly bounded, i.e.
[TABLE]
Proof.
Let us take
[TABLE]
where is the unique solution of
[TABLE]
Observing that is uniformly bounded in , it is directly checked that, choosing the positive constant larger if necessary, satisfies all the properties of the lemma for large enough numbers and . β
Step 2: An auxiliary linear equation. Given and , we first study the linear equation
[TABLE]
For the solution of (3.13) satisfying the orthogonality conditions with respect to , , , we prove the following a priori estimate.
Lemma 3.5.ββThere exist and such that for any and any solution of (3.13) with the orthogonality conditions
[TABLE]
we have
[TABLE]
*where is independent of . *
Proof.
Take , with as the constant of Lemma 3.4. Since and for large enough, we find disjointed. Let be bounded and be a bounded solution to (3.13) satisfying (3.14). We first consider the following inner norm of :
[TABLE]
and claim that there is a constant independent of such that
[TABLE]
Indeed, set
[TABLE]
where is the positive, uniformly bounded barrier constructed by the previous lemma and the constant is chosen larger if necessary, independent of . Then for ,
[TABLE]
for ,
[TABLE]
and for ,
[TABLE]
From the maximum principle (see [48]), it follows that on , which implies estimate (3.15).
We prove the lemma by contradiction. Assume that there are sequences of parameters , points , functions , and associated solutions of equation (3.13) with orthogonality conditions (3.14) such that
[TABLE]
For each , we have and we consider \widehat{\phi}^{n}_{k}(z)=\phi_{n}\big{(}\mu_{k}^{n}z+(\xi^{n}_{k})^{\prime}\big{)}, where , and . Note that
[TABLE]
where
[TABLE]
By the expansion of in (3.2) and elliptic regularity, converges uniformly over compact sets to a bounded solution of equation , which satisfies
[TABLE]
Thus is a linear combination of , . Notice that for and . Hence (3.17) implies .
As for each , we have and we consider \widehat{\phi}^{n}_{k}(z)=\phi_{n}\big{(}(A^{n}_{k})^{-1}\mu_{k}^{n}z+(\xi^{n}_{k})^{\prime}\big{)}, where is a rotation map such that A_{k}^{n}\nu_{\Omega_{p_{n}}}\big{(}(\xi_{k}^{n})^{\prime}\big{)}=\nu_{\mathbb{R}_{+}^{2}}\big{(}0\big{)}. Similarly to the above argument, we can get that converges uniformly over compact sets to a bounded solution of equation , which satisfies
[TABLE]
Thus is a linear combination of , . Notice that for and . Hence (3.18) implies . Furthermore, we find that . But (3.15) and (3.16) tell us , which is a contradiction. β
Step 3: Proving an a priori estimate for solutions to (3.13) that satisfy orthogonality conditions with respect to , only.
Lemma 3.6.ββFor large enough, if solves (3.13) and satisfies
[TABLE]
then
[TABLE]
where is independent of .
Proof.
According to the results in Lemma 3.4 of [18] and Lemma 3.2 of [43], for simplicity we only consider the validity of estimate (3.20) when the concentration points satisfy the relation for any , and for any sufficiently small, fixed and independent of . Let be a large but fixed number. Denote for ,
[TABLE]
where
[TABLE]
Note that by estimate (2.23), expansions (2.2) and (2.4), and definitions (2.9), (3.3), (3.7) and (3.10),
[TABLE]
and
[TABLE]
Let and be radial smooth cut-off functions in such that
[TABLE]
We set, for ,
[TABLE]
and for ,
[TABLE]
Now we define the test function
[TABLE]
Given satisfying (3.13) and (3.19), let
[TABLE]
We will first prove the existence of and such that satisfies the orthogonality condition
[TABLE]
Multiplying (3.28) by , , and using orthogonality conditions (3.19) and (3.29) together with the fact that if , we get
[TABLE]
[TABLE]
Remark that for any , coincides with in , while for any , coincides with in the region . Moreover, from definitions (3.8)-(3.9) we can write and its inverse y=\big{(}\frac{1}{\mu_{i}}F^{p}_{i}\big{)}^{-1}(z)=\xi^{\prime}_{i}+\frac{1}{\varepsilon}A_{i}^{-1}F^{-1}_{i}(\varepsilon\mu_{i}z) such that \det\big{(}\nabla\big{(}\frac{1}{\mu_{i}}F_{i}^{p}\big{)}^{-1}(z)\big{)}=\mu_{i}^{2}+O(\varepsilon\mu_{i}^{3}|z|) holds in the upper half-ball . Then for any and ,
[TABLE]
[TABLE]
where denotes the Kroneckerβs symbol, but for any and ,
[TABLE]
[TABLE]
Moreover, from (3.24) and (3.27) it follows that for any and ,
[TABLE]
Thus by (3.31),
[TABLE]
Furthermore,
[TABLE]
We need just to show that is well defined. From (3.30) we can easily get that for any ,
[TABLE]
and for any ,
[TABLE]
where is defined in (3.32) and satisfies
[TABLE]
We denote the coefficient matrix of equations (3.34)-(3.35). By the above estimates, it is clear that is diagonally dominant and thus invertible, where . Hence is also invertible and is well defined.
Estimate (3.20) is a direct consequence of the following two claims.
Claim 1.ββLet , then for any and ,
[TABLE]
Claim 2.ββFor any and ,
[TABLE]
In fact, the definition of in (3.28) tells us
[TABLE]
Then by Lemma 3.5, we obtain
[TABLE]
Using the definition of again and the fact that
[TABLE]
estimate (3.20) then follows from estimate (3.38) and Claim 2.
Proof of Claim 1. Observe that
[TABLE]
For any and , we write and note that in the region , by (3.2), (3.3), (3.4) and (3.7),
[TABLE]
and then, by (3.40),
[TABLE]
As for any , owing to and , we know
[TABLE]
where
[TABLE]
In the region , by (3.2), (3.3), (3.5), (3.10), (3.42) and (3.43),
[TABLE]
Thus by (3.40),
[TABLE]
Hence by (3.41), (3.43), (3.44) and the definition of in (2.30), we obtain \big{\|}\mathcal{L}(\chi_{i}Z_{ij})\big{\|}_{*}=O\left(1/\mu_{i}\right) for all and .
We now prove the second inequality in (3.36). In fact,
[TABLE]
Recalling that for any , but for any , we now consider the four regions
[TABLE]
Notice first that, by (3.3), (3.7), (3.10) and (3.43),
[TABLE]
[TABLE]
In , by (3),
[TABLE]
Note that, by (3.2),
[TABLE]
Hence in , by (3.11),
[TABLE]
[TABLE]
Note that in , by (3.23) and (3.47),
[TABLE]
Moreover , . Hence in , by (3.2), (3.11), (3.46), (3.48) and (3.50),
[TABLE]
In , by (3.11), (3.21), (3) and (3.46),
[TABLE]
To estimate the first two terms, we need to decompose into some subregions:
[TABLE]
From (3.1), (3.2) and (3.43) we get
[TABLE]
Moreover, by (3.23) and (3.47),
[TABLE]
Then in , by (2.6) and (2.13),
[TABLE]
with small but fixed, independent of . In with , by (3.2), (3.11), (3.24) and (3.46),
[TABLE]
In , by (3),
[TABLE]
By (2.23) and (3.1) we find in . In addition, , ,
[TABLE]
[TABLE]
Combining (2.30), (3.49), (3.51), (3.52), (3) and (3.55), we arrive at
[TABLE]
Proof of Claim 2. Multiplying equation (3.37) by , integrating by parts and using the relations (3.38)-(3.39), we get
[TABLE]
where we have applied the following inequality
[TABLE]
But estimates (3.33) and (3.36) imply that for any ,
[TABLE]
From (3.21), (3.27) and (3) we decompose
[TABLE]
where
[TABLE]
and
[TABLE]
Let us analyze first the behavior of . By (3.1), (3.2), (3.7), (3.10), (3.23) and (3.47),
[TABLE]
By (3.7), (3.10), (3.11), (3.23) and (3.47),
[TABLE]
By (3.7), (3.10), (3.23), (3.46) and (3.47),
[TABLE]
By (3.2), (3.7), (3.10), (3.23) and (3.47),
[TABLE]
While by (3.1), (3.2), (3.24), (3.27) and (3),
[TABLE]
Thus
[TABLE]
Note that in a straightforward but tedious way, by (2) we can compute
[TABLE]
Hence by (2.18), (3.2), (3.7), (3.10) and (3.43),
[TABLE]
Next, we estimate . Integrating by parts the first term and the last term of respectively, we get
[TABLE]
From (2.18), (3.3), (3.7), (3.10), (3.21), (3.22), (3.42), (3.43) and (3.47) we can conclude that
[TABLE]
Moreover, by (3.3), (3.7), (3.10), (3.42) and (3.50) we find |\nabla\widehat{Z}_{i0}|=O\big{(}\frac{1}{\mu_{i}^{2}R^{3}}\big{)} in . Furthermore,
[TABLE]
By (3.54),
[TABLE]
Combining all these estimates, we conclude
[TABLE]
According to (3.56), we need just to consider when . Using the previous estimates of and , we can easily prove that
[TABLE]
[TABLE]
and
[TABLE]
It remains to calculate the integral over . From (3.27) and an integration by parts we get
[TABLE]
As above, we know that
[TABLE]
On , by (2.7) and (3.24) we have
[TABLE]
and
[TABLE]
So
[TABLE]
By the above estimates, we obtain
[TABLE]
As a consequence, replacing (3.57) and (3.58) to (3.56) we get
[TABLE]
Using linear algebra arguments, we then prove Claim 2 for and complete the proof by (3.33). β
Step 4: Proof of Proposition 3.3. We first establish the validity of the a priori estimate
[TABLE]
for any , solutions of problem (3.6) and any . Step 3 gives
[TABLE]
As before, arguing by contradiction to (3.59), we can proceed as in Step 2 and suppose further that
[TABLE]
We omit the dependence on . It suffices to estimate the values of the constants . For this aim, let us consider the cut-off function given by (3.25)-(3.26). For any and , multiplying (3.6) by and integrating by parts we find
[TABLE]
Notice that
[TABLE]
By (3.3), (3.7), (3.10), (3.42) and (3.43) we can compute
[TABLE]
To estimate , we decompose into several regions:
[TABLE]
[TABLE]
where for , but for . Note that, by (2.7) and (3.43),
[TABLE]
uniformly in , . In , by (3.2), (3.7) and (3.10) we have that for any and ,
[TABLE]
and for any and ,
[TABLE]
In , , by (3.2), (3.7), (3.10), (3.43) and (3.62),
[TABLE]
In , by (3.1),
[TABLE]
Hence by (2.6), (2.13) and (3.43),
[TABLE]
where for any and , \widehat{\phi}_{i}(z)=\phi\big{(}\xi_{i}^{\prime}+\mu_{i}z\big{)} and
[TABLE]
but for any and , \widehat{\phi}_{i}(z)=\phi\big{(}(F_{i}^{p})^{-1}(\mu_{i}z)\big{)} and
[TABLE]
On the other hand, since , we obtain
[TABLE]
Moreover, if , by (3.3) and (3.7),
[TABLE]
and if , by (3.3), (3.9) and (3.10),
[TABLE]
and if , by (3.62),
[TABLE]
Inserting estimates (3.63)-(3.67) into (3.61), we deduce that for any and ,
[TABLE]
Furthermore,
[TABLE]
Since , as in contradiction arguments of Step 2, we conclude that for any ,
[TABLE]
but for any ,
[TABLE]
with some constant . Hence in (3.63), we have a better estimate, since by Lebesgueβs theorem we can derive that for any and ,
[TABLE]
and for any and ,
[TABLE]
Therefore,
[TABLE]
which is impossible because of (3.60). So estimate (3.59) is established and then by (3.68), we obtain
[TABLE]
Now consider the Hilbert space
[TABLE]
with the norm \|\phi\|_{H^{1}(\Omega_{p})}^{2}=\int_{\Omega_{p}}a(\varepsilon y)\big{(}|\nabla\phi|^{2}+\varepsilon^{2}\phi^{2}\big{)}. Equation (3.6) is equivalent to find such that
[TABLE]
By Fredholmβs alternative this is equivalent to the uniqueness of solutions to this problem, which is guaranteed by estimate (3.59). Finally, for fixed, by density of in , we can approximate by smooth functions and, by (3.59) and elliptic regularity theory, we find that for any , problem (3.6) admits a unique solution which belongs to and satisfies the a priori estimate (3.12). The proof is complete. ββββββββββββββββββββββββββββββββββββββββββββββ
Remark 3.7.ββGiven with , let be the solution to (3.6) given by Proposition 3.3. Testing the first equation of (3.6) against , we get
[TABLE]
Furthermore, by (3.1) we obtain
[TABLE]
4. The nonlinear problem
In order to solve problem (2.29) we first consider an auxiliary nonlinear problem: for any points , we find a function and scalars , , such that
[TABLE]
where satisfies (3.1)-(3.2), and , are given by (2.28).
Proposition 4.1.ββLet be a positive integer. Then there exist constants and such that for any and any points , problem (4.1) admits a unique solution for some coefficients , , , such that
[TABLE]
*Furthermore, the map is a -function in and . *
Proof.
Proposition , Remarks and allow us to apply the Contraction Mapping Theorem and the Implicit Function Theorem to find a solution for problem (4.1) satisfying (4.2) and the corresponding regularity of the map . Since it is a standard procedure, we omit the detailed proof here, see Lemma 4.1 in [22] for a similar proof. β
Remark 4.2.ββThe function , where is given by Proposition 4.1, is positive in . In fact, we observe first that uniformly in . Furthermore, from Remark 2.6 and the definition of in (2.27) we have that, in each region , is positive. Outside these regions, by (2.20) and (2.27) we may get the same result.
5. Variational reduction
After problem (4.1) has been solved, we find a solution of problem (2.29) and hence to the original problem (1.5) if we find such that the coefficient in (4.1) satisfies
[TABLE]
Equation (1.5) is the Euler-Lagrange equation of the energy functional given by
[TABLE]
We define
[TABLE]
where is the function defined in (2.16) and
[TABLE]
with the unique solution to problem (4.1) given by Proposition 4.1. Critical points of correspond to solutions of (5.1) for large , as the following results states.
Proposition 5.1.ββ*The function is of class . Moreover, for all sufficiently large, if , then satisfies (5.1). *
Proof.
A direct consequence of the results obtained in Proposition 4.1 and the definition of function is the fact that is a -function of in since the map is a -map into . Recall that
[TABLE]
Then, making a change of variable, we get
[TABLE]
Since solves equation (4.1) and , we have that for any and ,
[TABLE]
because . Notice first that by (3.3), (3.7), (3.10) and (3.43), a direct computation shows
[TABLE]
On the other hand, since , by (2.9), (2.10), (2.16), (2.20) and (2.21) we obtain
[TABLE]
[TABLE]
while for , by (2.13) and (3.3),
[TABLE]
Additionally, as in the proof of Lemma 2.1, we can prove that
[TABLE]
[TABLE]
Hence for each and , (5) can be written as
[TABLE]
and then, by (2.7), (2.23), (2.24) and (4.2),
[TABLE]
which implies for each and . β
6. Expansion of the energy
Proposition 6.1.ββLet be a positive integer. With the choice of βs given by (2.22), there exists such that for any and any points , the following expansion holds
[TABLE]
where
[TABLE]
Proof.
Multiplying the first equation in (4.1) by and integrating by parts, we obtain
[TABLE]
because and . Hence, by (2.27), (4.2) and (5.3) we can write
[TABLE]
uniformly for any points . Now, in view of (2.9), (2.10), (2.16), (2.17), (2.18), (2.20) and (2.21) we have
[TABLE]
Recalling that , we get
[TABLE]
and then, by (2.23),
[TABLE]
Therefore,
[TABLE]
which, together with the expansion of in (2.25), easily implies that (6.1) holds. β
7. Proofs of theorems
Proof of Theorem 1.1. According to Proposition 5.1, is a solution of problem (1.5) if we adjust so that it is a critical point of defined in (5.2). For this aim, we only choose points in the following form of the parametrization
[TABLE]
where and lie in the configuration space
[TABLE]
for any sufficiently small, fixed and independent of . Thus we can easily prove that if is a critical point of the reduced energy \widehat{F}_{p}\big{(}\mathbf{s},\mathbf{t}\big{)}:=F_{p}\big{(}\xi(\mathbf{s},\mathbf{t})\big{)} in , then the function is a solution of problem (1.5) with the qualitative properties predicted by Theorem 1.1. Therefore, we need first to compute the expansion of the reduced energy with the aid of Lemmas 2.1-2.2, Corollary 2.3 and Proposition 6.1.
Using the smooth property of over , we can perform a Taylor expansion around each boundary point along the inner normal vector to derive that
[TABLE]
From the expansions of the Robinβs function in (2.4)-(2.5) and the regularity of the vector function , we obtain
[TABLE]
On the other hand, from the expansions of the regular part of Greenβs function in (2.2)-(2.3), we find that if with ,
[TABLE]
while if and ,
[TABLE]
Substituting (2.18), (7.2)-(7) into (6.1) and using the fact that for all with , we conclude that becomes
[TABLE]
-uniformly in , where is a smooth function of satisfying that and uniformly converge to zero as .
We seek a critical point of in . Let be the tangential derivative which is defined on . Set
[TABLE]
Then
[TABLE]
In view of with , we have that for any sufficiently small and for any , there exists a unique positive such that and . Set , . Since are different strict local maximum or strict local minimum points of on , we find that for any , any sufficiently small and any sufficiently large , the Brouwer degrees \deg\big{(}\big{(}\partial_{T(s_{i})}A,\,\partial_{t_{i}}A\big{)},\,\big{(}B_{d}(\xi^{*}_{i})\cap\partial\Omega\big{)}\times\big{(}t_{i}^{*}-d,\,t_{i}^{*}+d\big{)},\,0\big{)} and \deg\big{(}\big{(}\partial_{T(s_{l+1})}a,\ldots,\partial_{T(s_{m})}a\big{)},\,\prod_{k=l+1}^{m}\big{(}B_{d}(\xi^{*}_{k})\cap\partial\Omega\big{)},\,0\big{)} are well defined (see [7, 37]). By the definition and homotopy invariance of topological degree we deduce
[TABLE]
and
[TABLE]
Furthermore, using the properties of Brouwer degree, by (7.6) we conclude
[TABLE]
This implies that for any large enough, there exists such that \nabla_{\left(T(\mathbf{s}),\mathbf{t}\right)}\widehat{F}_{p}\big{(}\mathbf{s}^{p},\mathbf{t}^{p}\big{)}=0. In particular, as , which completes the proof. ββββββββββββββββββ
Proof of Theorem 1.2. According to Proposition 5.1, we need to find a critical point of such that points accumulate to . Using (1.7), (2.18), (6.1), Lemma 2.1 and the fact that for all with , we conclude that becomes
[TABLE]
-uniformly in \mathcal{O}^{*}_{d,\,p}:=\left\{\,\xi=(\xi_{1},\ldots,\xi_{m})\in\big{(}B_{d}(\xi_{*})\cap\Omega\big{)}^{l}\times\big{(}B_{d}(\xi_{*})\cap\partial\Omega\big{)}^{m-l}\,\left|\,\,\,\min\limits_{i,k=1,\ldots,m,\,i\neq k}\,|\xi_{i}-\xi_{k}|>\frac{1}{p^{\kappa}},\right.\right.\\ \left.\min\limits_{1\leq i\leq l}\,\text{dist}(\xi_{i},\partial\Omega)>\frac{1}{p^{\kappa}}\right\} for any sufficiently small, fixed and independent of . Here we claim that for any large enough, the following maximization problem
[TABLE]
has a solution in the interior of . Once this claim is proven, we can easily get the qualitative properties of solutions of (1.5) as predicted in Theorem 1.3.
Let be the maximizer of over . We are led to prove that lies in the interior of . First, we obtain a lower bound for over . Let us consider a smooth change of variables
[TABLE]
where is a diffeomorphism and is an open neighborhood of the origin such that and . Let
[TABLE]
where and satisfy , for all sufficiently small, fixed and independent of . From the expansion , we get
[TABLE]
As , we find . Since is a strict local maximum point of over and satisfies , there exists a constant independent of such that
[TABLE]
On the other hand, from definition (1.7), Lemma 2.2 and Corollary 2.3, we can compute that for any and with ,
[TABLE]
Additionally, for any with ,
[TABLE]
Hence by (7), we find
[TABLE]
Next, we suppose . Then there exist four cases:
C1. ββThere exists an such that , in which case, for some
independent of ;
C2. ββThere exists an such that , in which case, for
some independent of ;
C3. ββThere exists an such that ;
C4. ββThere exist indices , , such that .
Observe that for all and with , by (1.6), (2.2), (2.4) and the maximum principle,
[TABLE]
In the first and second cases, by (7) and (7.9) we get
[TABLE]
which contradicts to (7.8). This shows that . Using the assumption of over , we deduce for all .
In the third case, by (7) and (7.9) we get
[TABLE]
In the last case, by (7) and (7.9) we get, if and ,
[TABLE]
while if and ,
[TABLE]
Comparing (7)-(7) with (7.8), we obtain
[TABLE]
which is impossible by the choice of in (2.8). ββββββββββββββββββββββββββββββ
Acknowledgments
The author warmly thanks the anonymous referee for his or her nice and valuable comments on this manuscript. This research is supported by the Fundamental Research Funds for the Central Universities under Grant No. KYZ201649, and the National Natural Science Foundation of China under Grant Nos. 11601232, 11671354 and 11775116.
8. Appendix
Proof of lemma 2.4.ββ Observe that for any , by (2.6), (2.10) and (2.13),
[TABLE]
From (1.6)-(1.7) we have that the regular part of Greenβs function, , satisfies
[TABLE]
So, if we set
[TABLE]
then satisfies
[TABLE]
Using polar coordinates with center , i.e. , and changing variables , we estimate that for any ,
[TABLE]
and
[TABLE]
and for any ,
[TABLE]
and
[TABLE]
Thus for any and any ,
[TABLE]
As for the boundary terms, if , by (2.7) we get, for any ,
[TABLE]
[TABLE]
and further,
[TABLE]
While if , using the fact that for any (see [5]), we estimate that for any ,
[TABLE]
[TABLE]
and
[TABLE]
Thus for any and any ,
[TABLE]
Hence by elliptic regularity theory, we obtain that for any and any ,
[TABLE]
Then by Morreyβs embedding theorem,
[TABLE]
where , which implies that expansion (2.19) holds with . ββββββββββ
Proof of lemma 2.5.ββ Notice that if we make the change of variables , then system (2.22) can be rewritten in the following vector form
[TABLE]
Obviously, from the explicit expression (2.15) of the constant , we have that for ,
[TABLE]
Using the Taylor expansion of exponential functions, we can conclude that for any small enough,
[TABLE]
and then, by (2.23),
[TABLE]
Moreover, by (1.7), (2.2) and the fact that for all with , we can easily prove that for any points ,
[TABLE]
Consequently, a simple computation shows that
[TABLE]
and for any ,
[TABLE]
Then
[TABLE]
Hence is invertible in the range of points and variables that we are considering. From the Implicit Function Theorem we find that is solvable in some neighborhood of \big{(}0,\xi,\mu(0,\xi)\big{)}, and thus for any points and any large enough, system (2.22) has a unique solution satisfying (2.23). This, together with (8.1)-(8.3), implies
[TABLE]
Moreover, by (2.2), (2.4), (2.7), (2.22), (8.2) and (8.3) we can conclude that estimate (2.24) holds.ββββββββ
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