Locating the peaks of least-energy solutions to a quasilinear elliptic Neumann problem
Yi Li, Chunshan Zhao

TL;DR
This paper investigates the behavior and boundary localization of least-energy solutions to a singularly perturbed quasilinear elliptic problem with Neumann boundary conditions, revealing their boundary approach rate and decay properties.
Contribution
It introduces an intrinsic variation method to analyze the boundary localization and decay of solutions, providing new insights into their asymptotic shape and boundary behavior.
Findings
Maximum points approach the boundary faster than linear rate.
Boundary points tend to where mean curvature is maximized.
Solutions exhibit exponential decay.
Abstract
In this paper we study the shape of least-energy solutions to a singularly perturbed quasilinear problem with homogeneous Neumann boundary condition. We use an intrinsic variation method to show that at limit, the global maximum point of least-energy solutions goes to a point on the boundary faster than the linear rate and this point on the boundary approaches to a point where the mean curvature of the boundary achieves its maximum. We also give a complete proof of exponential decay of least-energy solutions.
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Locating the peaks of
least-energy solutions to a quasilinear elliptic Neumann problem
Yi Li
Department of Mathematics
The University of Iowa
Iowa City, IA 52242
Department of Mathematics
Hunan Normal University
Changsha, Hunan
and
Chunshan Zhao
Department of Mathematical Sciences
Georgia Southern University
Statesboro, GA 30460
Abstract.
In this paper we study the shape of least-energy solutions to the quasilinear problem with homogeneous Neumann boundary condition. We use an intrinsic variation method to show that as , the global maximum point of least-energy solutions goes to a point on the boundary at the rate of and this point on the boundary approaches to a point where the mean curvature of achieves its maximum. We also give a complete proof of exponential decay of least-energy solutions.
Key words and phrases:
Quasilinear Neumann problem, -Laplacian operator, least-energy solution, exponential decay, mean curvature
1. Introduction and statement of results
In this paper we study the shape of certain solutions to the following quasilinear elliptic Neumann problem:
[TABLE]
where () and are constants and () is a smooth bounded domain. The operator is the -Laplacian operator, and is the unit outer normal to .
Problem (1.1) appears in the study of non-Newtonian fluids, chemotaxis and biological pattern formation. For example, in the study of non-Newtonian fluids, the quantity is a characteristic of the medium: media with are called dilatant fluids, and those with are called pseudo-plastics. If , they are Newtonian fluids (see [3] and its bibliography for more backgrounds). For the case , (1.1) is also known as the stationary equation of the Keller–Segal system in chemotaxis [14] or the limiting stationary equation of the so-called Gierer–Meinhardt system in biological pattern formation (see [23]).
First let us recollect some results related to our problem. In a series of remarkable papers, C.-S. Lin, W.-M. Ni and I. Takagi [14], Ni and Takagi [17], [18] studied the Neumann problem for certain elliptic equations, including
[TABLE]
where , are constants, and is subcritical, i.e., . First, Lin, Ni and Takagi [14] applied the mountain-pass lemma [1] to show the existence of a least-energy solution to (1.2), by which is meant that has the least energy among all solutions to (1.2) with the energy functional
[TABLE]
defined on . Hereinafter and . Then in [17], [18], Ni and Takagi investigated the shape of the least-energy solution as becomes sufficiently small, and showed that has exactly one peak (i.e., local maximum of ) at . Moreover, as tends to zero, approaches a point where the mean curvature of achieves its maximum. See [15] for a review in this field. Also see [16] for the critical case , and [5], [6], [7], [8], [9] for existence and properties of multiple-peaks solutions to (1.2).
From now on we make some hypotheses on , as follows.
- (1)
- (H2)
for and . 3. (H3)
as with . 4. (H4)
Let . Then there exists a constant such that for . 5. (H5)
is strictly increasing for and as with a constant . 6. (H6)
Let . Then is non-increasing on , where is the unique positive solution for .
Next we present some preliminary knowledge about least energy solutions of the following problem:
[TABLE]
As before we define an “energy functional” : associated with (1.3) by
[TABLE]
Next let us give a remark on ground states to the problem 1.3. Here by a ground state we mean a non-negative nontrivial distribution solution which tends to zero at . For case , it is well known that the problem 1.3 has a unique ground state (up to translations) which is radially symmetric [4]. For case uniqueness and radial symmetry of ground states are still open. But the Steiner symmetrization tells us the least-energy solutions must be radially symmetric (certainly least-energy solutions are ground states). Our assumptions guarantee that the uniqueness (up to translations) of radial ground states (see [20]), which implies the uniqueness of least-energy solutions of the problem (1.3). Exact exponential decay of radial ground states was given in [11], thus we have the following proposition about the unique radial least-energy solution to problem 1.3:
Proposition 1.1**.**
Under assumptions (H2)–(H6), there is a unique least energy solution for (1.3)* satisfying:*
(* i ) is radial, i.e., and with *
, and .
(ii)* for some constant and*
.
Remark 1.1*.*
A good example for which satisfies all hypotheses (H2)–(H6) is for .
Next we define an “energy functional” associated with (1.1) by
[TABLE]
with . Then the well-known mountain-pass lemma [1] implies that
[TABLE]
is a positive critical value of , where is the set of all continuous paths joining the origin and a fixed nonzero element such that and . It turns out can also be characterized as follows:
[TABLE]
with
[TABLE]
or
[TABLE]
with
[TABLE]
Hence is the least positive critical value and a critical point of with critical value is called a least-energy solution. Notice also that if we let
[TABLE]
where is the unique least energy solution of (1.3), then can also be characterized as
[TABLE]
with
[TABLE]
We refer to Lemma 2.1 of [13] for the above characterizations.
Next we consider the following problem:
with and satisfies
[TABLE]
The solutions of (1.9) can be characterized as critical points of the functional defined over as follows.
[TABLE]
Similarly as above the least positive critical value corresponding to least energy solutions of (1.9) can be characterized as
[TABLE]
and moreover
[TABLE]
due to the boundary condition in (1.9) and the fact that is radial and hence We also refer to Lemma 2.1 of [13] for the above characterization of . In Theorem 1.3 of [13], we proved the following theorem.
Theorem 1.1**.**
Under hypotheses (H2)–(H6), let be a least-energy solution of (1.1). Then all local maximum points(if more than one) of aggregate to a global maximum point at a rate of and dist(P_{\varepsilon},\partial\Omega)/\varepsilon$$\rightarrow 0 as , where is the general distance function. Moreover, we have the following upper-bound estimate for as :
[TABLE]
where denotes the mean curvature of at , is a positive constant given by
[TABLE]
Our goal in this paper is to locate the position on where the global maximum point of in approaches, provided is sufficiently small. For the case , Ni and Takagi [18] located the peak by linearizing the equation around the ground state . But this method fails for our problem with due to the strong nonlinearity of the -Laplacian operator . So we have to use the intrinsic variational method created by Del Pino and Felmer in [2] to attack it. We also give a complete proof of the exponential decay of the least-energy solution We remark that our proof is complete and does not require the non-degeneracy of the unique radial least energy solution as stated in Proposition 1.1, and hence it is different from Ni’s and Takagi’s work [17]. Now our results can be stated as follows:
Theorem 1.2**.**
Under hypotheses (H2)–(H6), let be a least-energy solution of (1.1) and with . Then as , after passing to a sequence approaches with
- (1)
- (ii)
, where denotes the mean curvature of at as stated before, and moreover 3. (iii)
the associated critical value can be estimated as as follows:**
[TABLE]
where , are as stated in Theorem 1.1.
The organization of this paper is as follows: In Section 2, we will prove some lemmas which will be used in proving Theorem 1.2. The proof of Theorem 1.2 will be given in Section 3.
2. Some lemmas and exponential decay of
First we prove the following lemma related to exponential decay of the least-energy solution .
Lemma 2.1**.**
Let be sufficiently small and that the least-energy solution achieves its global maximum at some point . Then there exist two positive constants and independent of or such that
[TABLE]
Before beginning to prove this lemma, we give a remark on it.
Remark 2.1*.*
For the case , under the assumption of non-degeneracy of the linearized operator , where is the unique ground state of (1.3), Ni and Takagi [18] showed that can be written as
[TABLE]
and enjoys the exponential-decay property ([18]). Clearly we cannot derive exponential decay of as stated in Lemma (2.1) from (2.2) even though both and have exponential decay property.
Proof of Lemma 2.1.
Since is a smooth compact submanifold of it follows from the tubular neighborhood theorem [10] that there exists a constant which depends only on such that is diffeomorphic to the inner normal bundle
[TABLE]
here is the unit outer normal of at and the diffeomorphism is defined as follows: there exists an unique such that then Moreover this diffeomorphism satisfies Similarly, let Then is diffeomorphic to the outer normal bundle
[TABLE]
and the diffeomorphism is given as follows. there exists an unique such that and then and Note that is clearly diffeomorphic to via the following reflection defined by Therefore, is the desired diffeomorphism and Moreover, if we let and we have with being the Kronecker symbol. Denote and with being the identity matrix, and for Then satisfies the following equations:
[TABLE]
where
[TABLE]
where Tr means taking the trace of a square matrix.
For , let We know can be made arbitrarily small by making sufficiently small. Next we define
[TABLE]
[TABLE]
[TABLE]
and for with
[TABLE]
and Then satisfies
[TABLE]
in the weak sense.
For any ball with radius and center , let Then for any smooth increasing function we have
[TABLE]
Therefore
[TABLE]
by taking sufficiently small, here is a constant depending only on hence only on and
From now on is fixed such that (i) , (ii) (2.4) holds for any smooth increasing radial function and (iii) for any Denote
Let and for Then is a solution to the following problem:
[TABLE]
where is the unit outer normal of Similarly, let and for Since converges to the unique radial least-energy solution of (1.3) in as (see the proof of Theorem 1.2 of [13]) and satisfies:
[TABLE]
(see Theorem 1 of [11]) which yields for a constant and First we fix a constant such that for From hypothesis (H5) it follows that such an exists. Then there exist sufficiently small and sufficiently large such that and which yields
[TABLE]
Note that
[TABLE]
Then we have
[TABLE]
due to the strong maximum principle ([22]). We get by scaling back that
[TABLE]
and
[TABLE]
for
From definition of we know
[TABLE]
for with sufficiently small due to the fact as Note that
[TABLE]
Choice of and tells us for any
[TABLE]
and define
[TABLE]
where is a constant to be determined later. Simple calculations show that
[TABLE]
for any where is a small constant depending only on and through . We remark that we have used the fact for From now on we choose
Therefore we have
[TABLE]
Clearly
[TABLE]
Then from the Comparison Theorem (Theorem 10.1 of [19]) it follows that
[TABLE]
In particular, Thus we get
[TABLE]
Choosing we get
[TABLE]
with Note that belongs to one of the following two cases:
[TABLE]
For case (i) we have and therefore
[TABLE]
For case (ii) we have and thus
[TABLE]
Combining (2.6), (2.7) and (2.8) together and letting yields
[TABLE]
Next we show the estimate for holds. First from (2.5) it follows that
[TABLE]
For and dist, consider (2.10) in the unit ball centered at , i.e., . Then by an estimate (see [21], for example) there exists two constants and which are independent of such that
[TABLE]
where we have used (2.9) and the fact that for Especially we have
[TABLE]
for and dist. For with dist. Let be a point such that dist dist and consider in , the ball of radius centered at , then from (2.3) it follows that satisfies
[TABLE]
in the weak sense. Then applying an estimate (see [21], for example) again yields as above that there exists two constants and which are independent of such that
[TABLE]
by adjusting and if it is necessary. Especially we have
[TABLE]
Thus combining (2.11) and (2.14) together and scaling back we have for
[TABLE]
Proof of Lemma 2.1 is completed by letting and .
Remark 2.2*.*
Our proof of the Lemma 2.1 with necessary minor modifications also works well for elliptic systems.
Next we present a lemma related to extensions of .
Lemma 2.2**.**
There exists a -extension of which has compact support in and satisfies
- (1)
- (ii)
* and ,* 3. (iii)
* also has the exponential-decay property as stated in Lemma 2.1, i.e., there exists an absolute constant such that*
[TABLE]
and
- (1)
- (iv)
there exists a positive constant such that for any , is the reflection of through .
Proof.
Let and be a smooth cut-off function such that for and for Then satisfies (ii), (iii) and (iv) automatically. The proof of this lemma is completed.
Similar to energy density introduced in [2], we define the energy density associated with (1.1) as follows:
[TABLE]
Then we have the following lemma.
Lemma 2.3**.**
Let be a function in a neighborhood of the origin of . Then
[TABLE]
where is the constant defined in (1.13), and , and
[TABLE]
Proof.
In Lemma 2.4 of [13], we showed that
[TABLE]
Next we introduce the polar coordinates
[TABLE]
and notice that
[TABLE]
and that
[TABLE]
After elementary computations one obtains
[TABLE]
where is the volume of the unit ball in . Here we used the fact that is radially symmetric.
Using the radial symmetry of again, we obtain
[TABLE]
where . Comparing (2.17) and (2.18) yields
[TABLE]
The proof of Lemma 2.3 is completed.
3. Proof of Theorem 1.2
With the help of the lemmas in Section 2, now we can give the proof of Theorem 1.2.
Proof of Theorem 1.2.
Since as , at the rate of , it follows that , where is the closest point on to . then by passing to a sequence, . After an -dependent rotation and translation, we may assume that is at the origin and can be described in a fixed cubic neighborhood of as the set
[TABLE]
where is smooth, , . Furthermore, we may assume that converges locally in the sense to , a corresponding parametrization at . Note that since is the origin, so we have as Thus we have in as . From the characterization of in Section 1, we have
[TABLE]
for all . Hereinafter
[TABLE]
Then
[TABLE]
with Let us choose so that maximizes in . Then from the definition of in (1.10), equality (1.11) and Lemma 2.2 it follows that
[TABLE]
for some constant independent of . Next we give an estimate of
Lemma 3.1**.**
There is a unique such that
[TABLE]
and moreover
[TABLE]
Proof.
Under assumption (H5), the existence and uniqueness of can be proved similarly to the proof of Lemma 2.1 of [13]. Here we only need show (3.2). Let
[TABLE]
Then
[TABLE]
here we have used the exponential decay of in Lemma 2.2, exponential decay of and in as . Moreover the term uniformly in on each compact interval as . (3.3) tells us , which yields that is bounded and away from [math]. Also from (3.4) it follows that
[TABLE]
Therefore at we have
[TABLE]
Since is strictly increasing (see (H5)) it follows from (3.6) that The proof of Lemma 3.1 is completed.
Proof of Theorem 1.2 continued. Using again the exponential decay of in Lemma 2.1 and the expansion of in Lemma 3.1, we obtain
[TABLE]
Similarly,
[TABLE]
In above Since , and converges in the local sense to , and in the local sense in with uniform exponential decay with respect to , it follows from the dominated convergence theorem that
[TABLE]
Thus we have
[TABLE]
But (1.12) in Theorem 1.1 tells us
[TABLE]
Therefore we get
- (1)
- (ii)
, which is (ii) of Theorem 1.2,
and
- (1)
- (iii)
as ,
which is part (iii) of Theorem 1.2. The proof of Theorem 1.2 is completed.
Acknowledgement. The authors want to give their thanks to anonymous referee for some helpful comments.
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