Neumann eigenvalue problems on the exterior domains
T. V. Anoop, Nirjan Biswas

TL;DR
This paper investigates the spectrum of weighted Neumann eigenvalue problems involving the p-Laplace operator on exterior domains, establishing existence, unboundedness, and properties of eigenvalues under various function space conditions.
Contribution
It proves the existence of an unbounded sequence of positive eigenvalues, including a unique principal eigenvalue, for weighted Neumann problems on exterior domains, using compact embedding techniques.
Findings
Existence of an unbounded sequence of eigenvalues.
Identification of a unique principal eigenvalue.
Compact embeddings of Sobolev spaces into weighted Lebesgue spaces.
Abstract
For , we consider the following weighted Neumann eigenvalue problem on , the exterior of the closed unit ball in : \begin{equation}\label{Neumann eqn} \begin{aligned} -\Delta_p \phi & = \lambda g |\phi|^{p-2} \phi \ \text{in}\ B^c_1, \\ \displaystyle\frac{\partial \phi}{\partial \nu} &= 0 \ \text{on} \ \partial B_1, \end{aligned} \end{equation} where is the -Laplace operator and is an indefinite weight function. Depending on the values of and the dimension , we take in certain Lorentz spaces or weighted Lebesgue spaces and show that the above eigenvalue problem admits an unbounded sequence of positive eigenvalues that includes a unique principal eigenvalue. For this purpose, we establish the compact embeddings of into for in certain weighted Lebesgue spaces. For ,…
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Neumann eigenvalue problems on the exterior domains
T. V. Anoop111corresponding author and also supported by the INSPIRE Research Grant DST/INSPIRE/04/2014/001865. , Nirjan Biswas
Abstract
For , we consider the following weighted Neumann eigenvalue problem on , the exterior of the closed unit ball in :
[TABLE]
where is the -Laplace operator and is an indefinite weight function. Depending on the values of and the dimension , we take in certain Lorentz spaces or weighted Lebesgue spaces and show that (0.1) admits an unbounded sequence of positive eigenvalues that includes a unique principal eigenvalue. For this purpose, we establish the compact embeddings of into for in certain weighted Lebesgue spaces. For , we also provide an alternate proof for the embedding of into . Further, we show that the set of all eigenvalues of (0.1) is closed.
Mathematics Subject Classification (2010): 35P30, 35J50, 35J62, 35J66.
Keywords: Neumann eigenvalue problem, -Laplacian, Exterior domain, Principal eigenvalue, Embeddings of .
1 Introduction
Let be a smooth domain in and . For we consider the following nonlinear weighted eigenvalue problem:
[TABLE]
where is the -Laplace operator defined as . We say a real number is an eigenvalue of (1.1), if there exits satisfying the following:
[TABLE]
In this case, we also say is an eigenfunction of (1.1) corresponding to . An eigenvalue is called a principal eigenvalue, if there exits an eigenfunction corresponding to that does not change sign on .
If is bounded, then zero is always a principal eigenvalue of (1.1) (nonzero constants as corresponding eigenfunctions). If , then zero is the only nonnegative principal eigenvalue. Thus when is bounded, for the existence of a positive principal eigenvalue of (1.1), is necessary. This condition alone does not ensure the existence of a positive principal eigenvalue for (1.1). Under the additional assumptions such as ([10]), ([17]), or with ([14]), the eigenvalue problem (1.1) does admit a principal eigenvalue and it is unique.
If then (1.2) corresponds to the weak formulation of the Dirichlet eigenvalue problem. In this context, for , (1.1) admits a positive principal eigenvalue even for certain with . For example, smooth with is bounded away from zero at infinity ([9, 18]), with ([2, 3]). Further, if the eigenfunctions are allowed to be in Beppo-Levi space completion of with respect to the then (1.1) admits a positive principal eigenvalue for weights in bigger classes of function spaces, see [5, 7] and the references therein. For , if the non-existence of positive principal eigenvalue for (1.1) is proved in [9] for and in [18] for general .
In this article, we study the existence of a positive principal eigenvalue of (1.1) on . The Dirichlet eigenvalue problem for -Laplacian on the exterior domain is considered in [6]. We enlarge the class of weight functions that admits a positive principal eigenvalue by providing two distinct categories of function spaces. The first category contains certain closed subspace of the Lorentz space for and the second one contains certain weighted Lebesgue spaces for all choices of and .
We consider the following closed subspace (introduced in [7]) of the Lorentz space
[TABLE]
For details of the space , we refer to [7].
Theorem 1.1**.**
Let and . If and , then
[TABLE]
is the unique positive principal eigenvalue of (1.1). Furthermore, is simple and isolated.
Our proof for the above theorem uses the continuous embedding of the Sobolev space into the Lorentz space . This embedding can be obtained from the embedding of into due to Tartar [27]. However, we give a simple proof for this embedding using the Pólya-Szegö and the Hardy-Littlewood inequalities for the Schwarz symmetrization and the Muckenhoupt condition (Theorem 2 of [23]) for the one-dimensional weighted Hardy inequalities.
To state our next result, we associate a radial function with as below. For
[TABLE]
where the essential supremum is taken with respect to the -dimensional surface measure. Since , we get is finite a.e. in (Theorem 2.49 of [15]). Now we consider the following weighted Lebesgue spaces:
[TABLE]
Theorem 1.2**.**
Let and let with . If , then
[TABLE]
is the unique positive principal eigenvalue of (1.1). Furthermore, is simple and isolated.
The Dirichlet eigenvalue problem for for which lies in an analogous weighted Lebesgue space has been considered in [6]. For , we show that is continuously and compactly embedded into the weighted Lebesgue space A similar embedding for is obtained in [6].
We also study the existence of infinitely many positive eigenvalues of (1.1). A complete characterization of the set of all eigenvalues of (1.1) with is a challenging open problem. However, there are many ways to produce infinite set of eigenvalues of (1.1), for example, see [14, 21]. In [21], An Lê proved that, for bounded and , the set of all eigenvalues of (1.1) is closed. We extend these results as below:
Theorem 1.3**.**
Let and be in Theorem 1.1 or Theorem 1.2. Then
- (i)
there exists a sequence of positive eigenvalues of (1.1) tending to infinity, 2. (ii)
the set of all eigenvalues of (1.1) is closed.
The rest of the paper is organized as follows. In Section 2, we briefly define symmetrization, Lorentz spaces and state the Muckenhoupt conditions for the weighted Hardy inequalities. In Section 3, we prove the required continuous embeddings and its compactness. Section 4 contains the functional settings. In the last section, we give the proofs of the above theorems.
2 Preliminaries
We define the one-dimensional rearrangement and then define the Lorentz spaces. Further, we state some important results such as Muckenhoupt condition, maximum principle for -Laplacian that will be used subsequently.
2.1 Symmetrization
Let be a Lebesgue measurable set and let be the set of all extended real valued Lebesgue measurable functions that are finite a.e. in . Given a function and for we define The distribution function of is defined as where denotes the Lebesgue measure. We define the one dimensional decreasing rearrangement of as
[TABLE]
The map is not sub-additive. However, we obtain a sub-additive function from namely the maximal function of , defined by
[TABLE]
The *Schwarz symmetrization * of is defined by
[TABLE]
where is the measure of the unit ball in and is the open ball centered at the origin with same measure as
Next we state two important inequalities concerning the symmetrization. For more details we refer to the books [16, 24].
Proposition 2.1**.**
Let with .
- (a)
Hardy-Littlewood inequality: Let and be nonnegative measurable functions. Then
[TABLE] 2. (b)
Pólya-Szegö inequality: Let . Then
[TABLE]
2.2 Lorentz Space
The Lorentz spaces are introduced by Lorentz in [22] and these are refinements of the classical Lebesgue spaces. For more details on Lorentz spaces, we refer to the books [1, 13].
Let be an open set. Let and . Consider the following quantity:
[TABLE]
The Lorentz space is defined as
[TABLE]
where is a complete quasi norm on For , and coincides with the weak- space Indeed, one can define a norm on for certain values of and as in the following proposition (Lemma 3.4.6 of [13]).
Proposition 2.2**.**
For , let
[TABLE]
Then is a norm in and it is equivalent to the quasi-norm .
2.3 Some important results
The following result is a sufficient condition for the one-dimensional weighted Hardy inequalities (4.17 of [20]).
Proposition 2.3** (Muckenhoupt condition).**
Let be nonnegative measurable functions such that . Let and let be the Hölder conjugate of If
[TABLE]
then
[TABLE]
holds for any measurable function on
In this article we use the following version of strong maximal principle due to Kawohl, Lucia and Prashanth (Proposition 3.2 of [19]).
Proposition 2.4** (Strong Maximum Principle for -Laplacian).**
Let be a non negative function in and with a.e. in . Assume that . Consider the inequality
[TABLE]
Then either or a.e. in .
3 The embeddings of
For , we prove the continuous embeddings of into , where For as in Theorem 1.2, we prove is continuously and compactly embedded in .
3.1 The embeddings into Lorentz spaces
First we prove a lemma using the Muckenhoupt condition.
Lemma 3.1**.**
Let . If , then
[TABLE]
Proof.
In Proposition 2.3, set and Then
[TABLE]
and
[TABLE]
Now,
[TABLE]
Therefore, by the Muckenhoupt condition we have for all
[TABLE]
Now (3.1) follows by noting that is precisely the power of the constant in the right hand side of the above inequality. ∎
Theorem 3.2**.**
For there exists such that
[TABLE]
Proof.
Let Then by Pólya-Szegö inequality (part (b) of Proposition 2.1) and by the above lemma we have
[TABLE]
with . As is in with and from (3.3) we have
[TABLE]
The integral in the left hand side of the inequality is equivalent to (Proposition 2.2) and hence by the density of in we obtain (3.2) with where is the equivalence constant. ∎
Remark 3.3**.**
For , from (3.3) and Hardy-Littlewood inequality, we have the following generalized Hardy-Sobolev inequality:
[TABLE]
In particular, by taking , we get the classical Hardy-Sobolev inequality
[TABLE]
Corollary 3.4**.**
Let . Then
Proof.
Since the boundary of is smooth, it has the extension property (Theorem 9.7 of [8], page 272), i.e., there exists a positive constant such that
[TABLE]
Now by Theorem 3.2, we get the required embedding. ∎
3.2 The embeddings into weighted Lebesgue spaces
Theorem 3.5**.**
Let . If then there exits such that
[TABLE]
Proof.
Let . For , set where . Using the fundamental theorem of calculus we have
[TABLE]
By Hölder inequality,
[TABLE]
As , for each we have . Hence
[TABLE]
Set . We multiply both sides by and integrate over to get
[TABLE]
Thus we obtain
[TABLE]
Now (3.4) follows by the density of in . ∎
Theorem 3.6**.**
Let . If , then there exits such that
[TABLE]
Proof.
Let . As before, set where . Then
[TABLE]
By Hölder inequality,
[TABLE]
where is the Hölder conjugate of Thus
[TABLE]
and hence for , we have
[TABLE]
Now multiply both sides by and integrate over to get
[TABLE]
Using the trace embedding of into (Theorem 2.86 of [11], page 100) we estimate the following integral:
[TABLE]
where is the embedding constant. By combining the above inequalities and using the density argument we obtain
[TABLE]
∎
Theorem 3.7**.**
Let . If then there exits such that
[TABLE]
Proof.
For as in the above proof we have
[TABLE]
By Hölder inequality we get
[TABLE]
where is the Hölder conjugate of Thus
[TABLE]
As before, we multiply both sides of (3.8) by and integrate over to get
[TABLE]
The rest of the proof follows as in the proof of Theorem 3.6. ∎
Next, we prove the embeddings given above are indeed compact.
Theorem 3.8**.**
Let . Then embedded compactly into
Proof.
Let in Set Let be arbitrary. By density of in , there exits such that Now,
[TABLE]
[TABLE]
where is the embedding constant. By the compactness of the embedding of into , there exits such that Now by the above inequalities we obtain
[TABLE]
Thus converges strongly in as required. ∎
4 The variational settings
Now we develop the functional settings for proving our main theorems. For as in Theorem 1.1 or Theorem 1.2, we consider the following functionals on :
[TABLE]
One can easily verify that and for ,
[TABLE]
where denotes the duality action.
Definition 4.1**.**
We say a function belongs to the class , if , supp has a positive measure and
- (i)
* with or* 2. (ii)
{\tilde{g}}\in\left\{\begin{array}[]{ll}L^{1}((1,\infty);r^{p-1}),&N\neq p,\\ L^{1}((1,\infty);{(r(1+\log r))}^{N-1}),&N=p.\end{array}\right.**
Proposition 4.2**.**
If , then and are compact on .
Proof.
Compactness of : If , then is compact using the density of in and the arguments as in the proof of Theorem 3.8. If then the compactness of follows from Theorem 3.8.
Compactness of : Let and let in . For
[TABLE]
where is the embedding constant. Therefore,
[TABLE]
Now consider the map defined on as Clearly maps into and using a similar set of arguments as in the proof of Theorem 3.8, one can prove that is compact. Hence we conclude as For , the proof is similar. ∎
For as before, consider the set
[TABLE]
Since one can show that the set is nonempty (Proposition 4.2 of [19]). The functional is not coercive on We prove a Poincaré type inequality for functions in that will ensure is coercive on .
Lemma 4.3**.**
Let Then there exits such that
[TABLE]
Proof.
The proof is by contradiction. If (4.1) is not true, then there exits a sequence in such that
[TABLE]
Thus is bounded in and hence by the reflexivity we get a subsequence of such that as , in . Thus as is compact. Further, from (4.2), by weak lowersemicontinuity of and , we have:
[TABLE]
Now the connectedness yields , a contradiction as . ∎
Remark 4.4**.**
For Thus 1 is a regular point of and hence gets a manifold structure. For the tangent space at is given by (Proposition 4.3.33 and Remark 4.3.40 of [12])
[TABLE]
Further,
[TABLE]
(Proposition 6.4.35 of [12]). In particular, if is a critical point of on , then is an eigenfunction of (1.1) corresponding to the eigenvalue
Definition 4.5**.**
We say a map satisfies Palais-Smale (P. S.) condition on a manifold , if in such that and then has a subsequence that converges in .
Lemma 4.6**.**
Let Then satisfies the P. S. condition on .
Proof.
Let be a sequence in such that and For set Then by (4.3), there exits a sequence such that
[TABLE]
Using Lemma 4.3 and by the reflexivity of , up to a subsequence, in . Further, Thus Observe that
[TABLE]
Form the weak convergence of and the compactness of , we get
[TABLE]
Now
[TABLE]
Hence Thus the weak convergence of in and the uniform convexity of gives in . Now using Lemma 4.3, we conclude that in This completes the proof. ∎
5 Proof of the main theorems
The existence: Recall that
[TABLE]
Let be a minimizing sequence for on . As before, using Lemma 4.3 we get sequence is bounded in Thus by the reflexivity, has a subsequence that converges weakly to some . Since the set is weakly closed by the compactness of proved before, Further, by weak lowersemicontinuity of ,
[TABLE]
Thus is attained and hence is a critical point of on Therefore, from Remark 4.4 we see that is an eigenvalue of (1.1) and is an eigenfunction corresponding to
The principality: Clearly is also an eigenfunction corresponding to . Thus for with
[TABLE]
Using Hölder inequality, one can verify that Thus satisfies all the conditions of Proposition 2.4. Hence a.e. in
The uniqueness and the simplicity: The uniqueness of the principal eigenvalue can be obtained using the Picone’s identity (Theorem 1.1 of [4]). The simplicity follows using the same arguments as in Theorem 1.3 of [19].
Isolatedness: Suppose is a sequence of eigenvalues of (1.1) converging to . For each , let be an eigenfunction corresponding to . Then and for each , we have
[TABLE]
i.e., Hence using Lemma 4.6 we conclude that in Assume that Thus by Egorov’s theorem there exits with and converges to uniformly on Thus there exits such that for all a.e. in Further, from (1.2),
[TABLE]
For observe that Therefore, . A contradiction, as a.e. in for Thus such a sequence does not exists. ∎
Remark 5.1**.**
- (a)
For , we have . Hence is the best constant in the following Hardy-Sobolev inequality
[TABLE]
and it is attained. 2. (b)
For Theorem 1.1 holds for any unbounded domain in and holds for any bounded domain with the additional assumption . Since is strictly contained in (Proposition 3.1 of **[7]**), Theorem 1.1 with the additional assumption extends the results of **[10, 14, 17]**. 3. (c)
The spaces and are not comparable. For we consider the following two functions:
[TABLE]
The function but does not belong to whereas but does not belong to
5.1 The existence of an infinite set of eigenvalues
For the existence of a sequence of eigenvalues of (1.1), we use the Ljusternik-Schnirelmann theory on manifold due to Szulkin [26]. Let be a closed symmetric (i.e. ) subset of a manifold . The krasnoselski genus is defined to be the smallest integer for which there exists a non-vanishing odd continuous mapping from to . For more details of genus we refer to [25]. The next theorem follows from Corollary 4.1 of [26].
Theorem 5.2** (Szulkin’s Theorem).**
Let be a closed symmetric submanifold of a real Banach space and . Let be even and bounded below. Let
[TABLE]
and If for some and satisfies the condition for all where , then are the critical values of .
Proof of Theorem 1.3.
(i) The set and the functional satisfy all the properties of Szulkin’s theorem. Using the arguments as in the proof of Lemma 5.9 of [5], one can show that, for each the set is nonempty. Hence by Theorem 5.2, there exits such that and . Therefore, is an eigenvalue of (1.1) and is an eigenfunction corresponding to . Further, ( is unbounded by the same arguments as in the proof of Theorem 2 of [18].
(ii) Let be a sequence of eigenvalues of (1.1) such that . Let be an eigenfunction corresponding to satisfying . Thus and . Hence by Lemma 4.6, there exists a subsequence of that converges to in Now the continuity of and ensures that is an eigenvalue of (1.1). ∎
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