Optimization results for the higher eigenvalues of the $p$-Laplacian associated with sign-changing capacitary measures
Marco Degiovanni, Dario Mazzoleni

TL;DR
This paper establishes the existence of optimal sets for the $p$-Laplacian eigenvalues and Schrödinger eigenvalues within fixed measure constraints, using a novel approach to handle nonlinear shape optimization problems involving sign-changing measures.
Contribution
It introduces a general method to analyze the continuous dependence of eigenvalues on sign-changing capacitary measures under $oldsymbol{ extgamma}$-convergence, enabling existence proofs for optimal sets.
Findings
Existence of optimal sets for the $k$-th eigenvalue of the $p$-Laplacian.
Existence of optimal potentials for Schrödinger eigenvalues.
Development of a new approach for nonlinear shape optimization with sign-changing measures.
Abstract
In this paper we prove the existence of an optimal set for the minimization of the -th variational eigenvalue of the -Laplacian among -quasi open sets of fixed measure included in a box of finite measure. An analogous existence result is obtained for eigenvalues of the -Laplacian associated with Schr\"odinger potentials. In order to deal with these nonlinear shape optimization problems, we develop a general approach which allows to treat the continuous dependence of the eigenvalues of the -Laplacian associated with sign-changing capacitary measures under -convergence.
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Optimization
results for the higher eigenvalues
of the -Laplacian associated with
sign-changing capacitary measures
Marco Degiovanni
Dipartimento di Matematica e Fisica
Università Cattolica del Sacro Cuore
Via Trieste 17
25121 Brescia, Italy
and
Dario Mazzoleni
Dipartimento di Matematica F. Casorati
Università di Pavia
Via Ferrata 5
27100 Pavia, Italy
Abstract.
In this paper we prove the existence of an optimal set for the minimization of the -th variational eigenvalue of the -Laplacian among -quasi open sets of fixed measure included in a box of finite measure. An analogous existence result is obtained for eigenvalues of the -Laplacian associated with Schrödinger potentials. In order to deal with these nonlinear shape optimization problems, we develop a general approach which allows to treat the continuous dependence of the eigenvalues of the -Laplacian associated with sign-changing capacitary measures under -convergence.
Key words and phrases:
Shape optimization, variational methods, quasilinear elliptic equations, nonlinear eigenvalue problems.
2010 Mathematics Subject Classification:
49Q10, 47J10
The authors are members of the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM). They have been partially supported by the 2019 INdAM-GNAMPA project “Ottimizzazione spettrale non lineare”
Contents
-
5.2 Lower estimate and asymptotic equicoercivity for a sequence of functionals
-
6 Towards variational eigenvalues for sign-changing capacitary measures
-
8 Existence of nonlinear eigenvectors for sign-changing capacitary measures
1. Introduction
In the last few years, shape optimization problems for the eigenvalues of the Dirichlet-Laplacian have been a very studied topic in many fields of mathematics, see [31] for a general overview. Recently, there has been an interest in extending these results also to the case of the eigenvalues of the -Laplacian for (often called nonlinear eigenvalues). Given an open subset of with finite measure and , we say that is an eigenvalue of the -Laplacian if there is a nonzero weak solution , called eigenvector, of the problem
[TABLE]
The eigenvalues can be characterized as the critical values of the functional
[TABLE]
on the manifold . The first eigenvalue can be proved to be a minimum, while higher eigenvalues (if ) are less understood. More precisely, one can obtain a nondecreasing sequence of eigenvalues by the minimax procedure
[TABLE]
where denotes the collection of compact and symmetric subsets of such that and denotes a suitable index, e.g. Krasnosel’skii genus, (see [28]). Unfortunately, it is still a major open problem to understand if all the eigenvalues of the -Laplacian are of this form. In the present paper we focus on the “variational” eigenvalues arising from the minimax procedure described above.
A first shape optimization result for these eigenvalues was recently obtained by Fusco, Mukherjee and Zhang in [27, Theorem 1.2].
Theorem 1.1** (Fusco-Mukherjee-Zhang).**
Let , be a bounded and open subset of , and be a function nondecreasing in each variable and lower semicontinuous.
Then the problem
[TABLE]
admits a solution.
We note that, also when is only a -quasi open set, it is possible to define the space and then the variational eigenvalues again by (1.1)
The main aim of this paper is to extend this existence result also to higher nonlinear variational eigenvalues and to nonlinear eigenvalues associated with Schrödinger potentials. Actually, we follow a unified approach based on the concept of -capacitary measure. The reason for which the above existence result was proved only for the first two eigenvalues is that a lower semicontinuity result for nonlinear eigenvalues with respect to an appropriate convergence was not known, as the typical arguments, relating convergence of quasi open sets and linear operators (see e.g. [9, Chapter 6]), cannot be adapted to the case . Let us collect the key results (see [27, Corollary 4.5 and Proposition 4.6]) involved in the proof of Theorem 1.1.
Theorem 1.2** (Fusco-Mukherjee-Zhang).**
Let be a bounded and open subset of and be a sequence of -quasi open sets -converging to a -quasi open set in .
Then we have
[TABLE]
In particular, the technique used in [27] in order to show the desired lower semicontinuity for is based on a mountain pass characterization of the second eigenvalue of the -Laplacian on -quasi open sets, and extending this approach to the case seems out of reach. Thus, a key issue is to understand the continuity properties of the higher nonlinear variational eigenvalues with respect to the -convergence of -quasi open sets.
In this paper we investigate in depth this question, developing the more general framework of -capacitary measures, in which a lower semicontinuity result for nonlinear eigenvalues under -convergence is proved, see Proposition 9.1. Then, in Theorems 9.2 and 9.3, we provide some related optimization results, still in the setting of -capacitary measures.
In the special case of -quasi open sets, we deduce that Theorem 1.2 holds for all , see Corollary 9.5. As a consequence of Theorem 9.3, we can prove the following extension of Theorem 1.1 to higher nonlinear variational eigenvalues. This result provides also a theoretical setting for performing numerical simulations, as recently done in [3].
Theorem 1.3**.**
Let , , be an open subset of with finite measure, and be a function nondecreasing in each variable and lower semicontinuous.
Then the problem
[TABLE]
admits a solution.
We now briefly describe the motivations for working in a class wider than -quasi open sets and the other new results that we obtain. First of all, the works from the 1980s and 1990s of Buttazzo, Dal Maso, Mosco, Murat [11, 17, 19, 20] suggest that the natural setting for spectral problems in the line of (1.3) is the space of -capacitary measures, i.e. Borel measures in that vanish on sets of zero -capacity. One can consider to be an eigenvalue associated with the -capacitary measure if there is a nonzero solution of the problem
[TABLE]
where the formal writing above should be read through the variational formulation described in [20]. On the other hand, also on the right hand side of the eigenvalue equation (1.4) things can become more complicated and more interesting. In particular, the study of eigenvalues with an sign-changing weight on the right hand side arises naturally in many problems from population dynamics (see [13] for an overview) and the existence of eigenvalues of the -Laplacian was studied in [39] in the sign-changing case. We generalize also this sign-changing weight on the right hand side to be the difference of two non-negative -capacitary measures and we set the problem in the whole (with some additional assumptions on the measures). Summing all up, given three (non-negative) -capacitary measures , we study the variational eigenvalues of the problem
[TABLE]
with a homogeneous Dirichlet-type condition at infinity, noting that, in order to set the problem in a bounded and open subset of , it is enough to replace with . The motivation for considering the case of as ambient space is in view of a possible extension of the existence Theorem 1.3 for nonlinear spectral functionals to the case , which is a difficult open problem that we plan to investigate in the future and that has been only recently solved in the case (see [8, 10, 36]).
Thanks to the general theory developed, we can also prove an extension to nonlinear eigenvalues of [12, Theorem 4.1] which deals, in the case , with the optimization of Schrödinger potentials, that is, of capacitary measures absolutely continuous with respect to the Lebesgue measure in .
Theorem 1.4**.**
Let , , be an open subset of with finite measure, be a -capacitary measure in , be a strictly decreasing and continuous function such that there exists with convex on ,
[TABLE]
and be a function nondecreasing in each variable and lower semicontinuous. Denote by the set of -measurable functions such that
[TABLE]
and such that there exists satisfying
[TABLE]
If , then there exists a minimizer for the problem
[TABLE]
satisfying
[TABLE]
where is associated with
[TABLE]
according to Section 8.
The most interesting examples of the function for which the assumptions of the above theorem hold are for all and for all .
The abstract theory developed in this paper allows us also to prove an upper semicontinuity result for nonlinear eigenvalues of -capacitary measures, under very mild assumptions, Theorem 7.4. Though this is not needed for the shape optimization problem that was our motivation, we believe it is a very important property and it involves an interesting reduction to finite dimensional spaces in the inf-sup procedure. Moreover, it could be useful when dealing with spectral problems with non-monotone functional.
The paper is organized as follows. After the Introduction and Section 2, where we recall the main notions of -capacity, -quasi open set, -fine topology and -convergence, the paper is divided into an abstract and an applied part.
The abstract part is developed in Sections 3 and 4, where first we study the behavior of sup functionals and of inf-sup values in a topological vector space and we prove suitable lower and upper semicontinuity results under -convergence, then we study nonlinear eigenvalue problems involving a sign-changing weight in a reflexive Banach space.
The applied part of the paper is organized as follows. Section 5 is devoted to the study first of convergence properties of -capacitary measures and then of convergence of related functionals in , in the line of [19]. In Section 6 we define, in the setting, the variational eigenvalues involving sign-changing -capacitary measures, we provide general conditions for existence of a sequence of (finite) variational eigenvalues and we provide an inf-sup characterization by means of suitable finite dimensional spaces. Section 7 is devoted to the study, still in the setting, of lower and upper semicontinuity properties of the variational eigenvalues defined in Section 6. So far, the variational eigenvalues are just inf-sup values. In Section 8 we prove that they can be also defined with respect to a suitable reflexive Banach space where the results of Section 4 apply. In particular, each inf-sup value is an eigenvalue with a corresponding eigenvector. Finally, in Section 9, we apply the theory developed in the previous sections to the case of -quasi open sets and of Schrödinger potentials, thus proving the main results of the paper, Theorems 1.3 and 1.4.
2. Notations and preliminaries
Throughout the paper, we fix an integer and . We denote by the dimensional Lebesgue measure and, if , by the critical Sobolev exponent. We will usually write instead of . For every real number , we denote by its positive and negative parts. If is a metric space, we set and we denote by the family of Borel subsets of .
Capacity, quasi open sets and fine topology
We need to introduce the notion of -capacity; we refer to [30, Chapter 2], to [29] and to [33] for more details.
Definition 2.1**.**
For every subset of , the -capacity of in is defined as
[TABLE]
where we agree that . If , we say that a property holds -quasi everywhere in , if it holds for all except at most a set of zero -capacity. We will write q.e. in instead of -quasi everywhere in , for the sake of simplicity.
Definition 2.2**.**
A subset of is said to be -quasi open if, for every , there exists an open subset of such that and is open in .
Remark 2.3**.**
First of all, we note that the open sets in the above definition can be chosen to be nondecreasing, i.e. if , then . Then, for every -quasi open subset of , it is possible to check from the definition that there exist two Borel and -quasi open sets and two sets of zero -capacity such that . For example, with as in Definition 2.2, one can take , , and .
Definition 2.4**.**
A function is said to be -quasi continuous (-quasi lower semicontinuous, -quasi upper semicontinuous, resp.) if for every there exists an open subset of with such that u\bigl{|}_{\mathbb{R}^{N}\setminus\omega_{\varepsilon}} is continuous (lower semicontinuous, upper semicontinuous, resp.).
Remark 2.5**.**
It can be proved (see [5, Proposition IV.2 (d)] for the case ) that a function is -quasi lower (resp. -quasi upper) semicontinuous if and only if the sets (resp. ) are -quasi open for every .
For every , there exists a Borel and -quasi continuous representative of and, if and are two -quasi continuous representatives of the same , then we have q.e. in . In the following, for every , we will consider only its Borel and -quasi continuous representatives.
Definition 2.6**.**
If is a -quasi open subset of , we set
[TABLE]
It turns out that the above definition is naturally equivalent to the usual one, if is an open subset of . In the following, we also denote by the set of ’s in vanishing q.e. outside some compact subset of .
From now on in this paragraph, we restrict ourselves to the case , since if every point has positive -capacity, thus -quasi open sets coincide with Euclidean open sets.
Although -quasi open subsets do not form a topology on (because an uncountable union of -quasi open subsets is not always -quasi open), it is possible to define the -fine topology, which turns out to be a useful tool from nonlinear potential theory. In the present work we recall only the basic notions and properties that we need, and refer to [29, 30] and the references therein for more details.
Definition 2.7**.**
A subset of is said to be -finely open if for every we have
[TABLE]
The -finely open subsets form a topology called the -fine topology, which can be equivalently defined as the coarsest topology making all -superharmonic functions continuous.
We recall now the properties of the -fine topology we need. In particular, we refer to [29, Theorem 2.3] for the quasi-Lindelöf property.
Proposition 2.8**.**
The -fine topology has the quasi-Lindelöf property, that is: for each family of -finely open sets, there is a countable subfamily such that
[TABLE]
Moreover, for every subset of , the following are equivalent:
* is Borel and -quasi open;* 2.
, with Borel, -finely open and ; 3.
there exists such that .
Remark 2.9**.**
From Remark 2.3 and Proposition 2.8 we infer that, for every -quasi open subset of , there exist a Borel and -finely open set and a set of zero -capacity such that .
Basic definitions about convergence
Before stating the definition of convergence, we recall that, given a topological space and a function , the lower semicontinuous envelope of is defined as
[TABLE]
We start with the topological definition of convergence (see [18]).
Definition 2.10**.**
Let be a topological space and the family of all open neighborhoods of a point . Given a sequence of functions with , we define
[TABLE]
At each satisfying
[TABLE]
we denote by the common value of and .
Given , we say that is convergent to in , if
[TABLE]
If is metrizable, then the following properties hold:
- •
for every , we have
[TABLE]
- •
for every there exists a recovery sequence such that
[TABLE]
- •
for every , we have
[TABLE]
- •
for every there exists a recovery sequence such that
[TABLE]
3. Convergence of functionals and of inf-sup values
In this section we develop some results of [22]. We consider an index with the following properties: **
* is an integer greater or equal than and is defined whenever is a nonempty, compact and symmetric subset of a metrizable topological vector space such that ;* 2.
if is nonempty, compact and symmetric, then there exists an open subset of such that and
[TABLE] 3.
if are nonempty, compact and symmetric, then
[TABLE] 4.
if also is a metrizable topological vector space, is nonempty, compact and symmetric and is continuous and odd, then we have ; 5.
if is a real normed space with , then we have
[TABLE]
Well known examples are the Krasnosel’skii genus (see e.g. [34, 37]) and the -cohomological index (see [25, 26]). More general examples are contained in [4].
Throughout this section, will denote a metrizable and locally convex topological vector space. We also denote by the family of nonempty and compact subsets of endowed with the metrizable topology of the Hausdorff convergence (see e.g. [2, Definition 4.4.9]). Finally, for every integer , we denote by the family of nonempty, compact and symmetric subsets of such that .
Assume we also have the even functionals
[TABLE]
and define by
[TABLE]
and in the analogous way with instead of .
The next result is a simple adaptation of [22, Theorem 4.2 and Corollary 4.3]. We provide the proof for reader’s convenience. Let us point out that [22] extended by a general abstract approach previous results of [14]. However, the main result of this last paper, namely [14, Theorem 3.3], requires an upper estimate (assumption (A2)) which is not compatible with the case of moving (quasi-)open subsets of a given open set .
Theorem 3.1**.**
If we have
[TABLE]
then it is
[TABLE]
If we also have that:
- •
for every strictly increasing sequence in and every sequence in with
[TABLE]
there exists a subsequence converging to some ,
then it is also
[TABLE]
for all , where we agree that .
Proof.
Let , let and let be a sequence Hausdorff converging to such that
[TABLE]
Without loss of generality, we may assume that this value is not . Let with
[TABLE]
Then there exists a subsequence such that
[TABLE]
In particular, so that also is symmetric.
On the other hand, for every , there exists with , whence
[TABLE]
which implies that
[TABLE]
Let be an open subset of such that and
[TABLE]
for all nonempty, compact and symmetric subset of . Since eventually as , we have eventually as , whence . Therefore, it is and
[TABLE]
By the arbitrariness of , it follows that
[TABLE]
Assume now that, for every strictly increasing sequence in and every sequence in with
[TABLE]
there exists a subsequence converging to some .
Then the sequence is asymptotically equicoercive in the sense of [22, Definition 2.3]. From [22, Proposition 2.5] we infer that the sequence is asymptotically equicoercive with respect to the Hausdorff convergence. From [22, Proposition 2.4] we conclude that
[TABLE]
namely
[TABLE]
and the proof is complete. ∎
Now we consider the particular case in which
[TABLE]
where
[TABLE]
are even functionals, and is defined in the analogous way with respect to the even functionals
[TABLE]
For every , define also by
[TABLE]
Corollary 3.2**.**
Assume that:
the functionals , and are positively homogeneous of the same degree ; 2.
we have
[TABLE] 3.
for every strictly increasing sequence in and every sequence in with
[TABLE]
there exists a subsequence converging in to some satisfying
[TABLE] 4.
we have and for all with .
Then, for every , we have
[TABLE]
Proof.
We aim to apply Theorem 3.1.
I) First of all we claim that, if is a sequence converging to in with
[TABLE]
then we have
[TABLE]
Actually, by assumption we have and, for every ,
[TABLE]
By the arbitrariness of the claim follows.
II) Assume now that is a strictly increasing sequence in and a sequence in such that
[TABLE]
We aim to show that there exists a subsequence converging to some in .
Actually, we have and
[TABLE]
First we show that is bounded. Assume for the sake of contradiction that, up to a subsequence,
[TABLE]
so that a suitably rescaled sequence satisfies
[TABLE]
By assumption , up to a further subsequence is convergent in to some satisfying , whence by assumption . Then by step I we have
[TABLE]
and a contradiction follows again by assumption . Therefore is bounded.
Again by assumption we infer that there exists a subsequence converging in to some satisfying
[TABLE]
whence .
III) Finally, let in and let be a sequence converging to such that
[TABLE]
If
[TABLE]
namely and
[TABLE]
up to a subsequence, we have
[TABLE]
Then, as in step II, we infer that is bounded. From step I and assumption it follows that
[TABLE]
Therefore and
[TABLE]
From the arbitrariness of we infer that
[TABLE]
Then the assertion follows by Theorem 3.1. ∎
The next results are a variant of [22, Theorem 4.1]. However, because of the presence of , a more involved argument is required.
Let us introduce the subfamily of ’s in such that is included in some finite dimensional subspace of .
Lemma 3.3**.**
There exists a compatible distance on such that and such that is convex for all and .
Moreover, for every nonempty, compact and symmetric and every , there exist a finite and symmetric subset of and a continuous map
[TABLE]
such that
[TABLE]
Proof.
It is the first part of the proof of [22, Proposition 3.1]. ∎
Theorem 3.4**.**
Assume that:
the functionals , and are convex and positively homogeneous of the same degree ; 2.
we have
[TABLE] 3.
for every strictly increasing sequence in and every sequence converging to in with
[TABLE]
we have
[TABLE]
Then, for every , we have
[TABLE]
Proof.
Let be a distance as in Lemma 3.3, let and with
[TABLE]
whence
[TABLE]
It follows
[TABLE]
On the other hand, if we denote by the vector subspace spanned by , we have that , and are finite, hence continuous, if restricted to (see e.g. [24, Corollary 2.3]). Therefore, there exists such that and
[TABLE]
Let and be as in Lemma 3.3 and define an odd and continuous map by
[TABLE]
Then
[TABLE]
whence
[TABLE]
Since is a finite set, by assumption there exists, for every , an odd map such that
[TABLE]
If we define an odd and continuous map by
[TABLE]
we have by the convexity of , and
[TABLE]
[TABLE]
Therefore, by assumption and (3.1), there exists such that
[TABLE]
By the convexity of , we infer that
[TABLE]
whence
[TABLE]
If we denote by the vector subspace spanned by , we have again that and are finite, hence continuous, if restricted to . If we set
[TABLE]
it follows that is included in and
[TABLE]
whence
[TABLE]
Then
[TABLE]
and the assertion follows by the arbitrariness of . ∎
Theorem 3.5**.**
Assume that , and are convex and positively homogeneous of the same degree . Suppose also that:
for every and sequences converging to in
[TABLE]
and in
[TABLE]
also converging to , we have
[TABLE]
Then, for every integer , we have
[TABLE]
Proof.
Let be again a distance as in Lemma 3.3. Of course, we have
[TABLE]
To prove the opposite inequality, let and with
[TABLE]
and let be such that
[TABLE]
namely
[TABLE]
Taking into account assumption , there exists firstly such that
[TABLE]
and then such that and
[TABLE]
It follows
[TABLE]
Let and be as in Lemma 3.3 and define an odd and continuous map by
[TABLE]
Then we have again
[TABLE]
In particular, by the convexity of , and it follows first that
[TABLE]
and then that
[TABLE]
As before, and are continuous when restricted to the vector subspace spanned by . If we set
[TABLE]
it follows that
[TABLE]
whence
[TABLE]
Therefore
[TABLE]
and the assertion follows by the arbitrariness of . ∎
Remark 3.6**.**
Suppose that , and are convex and positively homogeneous of the same degree .
Then assumption of Theorem 3.5 is satisfied in each of the following cases:
for every , the restriction of to
[TABLE]
is continuous; 2.
for every , the restriction of to
[TABLE]
is lower semicontinuous and .
Proof.
Let and be two sequences as in assumption of Theorem 3.5. If holds, we first claim that is bounded. Otherwise, up to a subsequence, a rescaled sequence is convergent to [math] and satisfies and . On the other hand by convexity and homogeneity, whence a contradiction. Since
[TABLE]
the assertion follows.
[TABLE]
with and the assertion immediately follows. ∎
4. Nonlinear eigenvalue problems
This section is devoted to some basic facts concerning nonlinear eigenvalues problems. Up to some adaptation, our approach is inspired by [39].
Throughout this section, will denote a reflexive Banach space and
[TABLE]
three even functionals of class which are assumed to be positively homogeneous of the same degree . We aim to study the nonlinear eigenvalue problem
[TABLE]
Definition 4.1**.**
We say that is an eigenvector of (4.1) if and there exists such that satisfies (4.1). It is easily seen that
[TABLE]
and is said to be the eigenvalue associated with .
In the following of this section, we consider only the eigenvectors with and the associated eigenvalues . If we set
[TABLE]
it is easily seen that is a symmetric hypersurface in of class and that is an eigenvalue if and only if is a critical value of \varphi\bigl{|}_{\widehat{M}}.
For the next concepts, we refer the reader to [6, 23].
Definition 4.2**.**
Let . A map is said to be of class if, for every sequence in weakly convergent to in with
[TABLE]
we have .
If is a topological space, a map is said to be completely continuous if it is continuous and, for every bounded sequence in , the sequence admits a convergent subsequence in .
Throughout this section, we assume that: **
for every , we have that
[TABLE]
is of class , while
[TABLE]
is completely continuous with respect to the strong topology of ; 2.
we have for all with .
Lemma 4.3**.**
For every , the set
[TABLE]
is bounded and we have
[TABLE]
Proof.
Let us recall that, because of assumption , the functional is sequentially lower semicontinuous with respect to the weak topology for all (see also [15, Proposition 3.5]), while is sequentially continuous with respect to the weak topology.
Let , let be a sequence in with and and assume, for the sake of contradiction, that
[TABLE]
Then a suitably rescaled sequence satisfies
[TABLE]
Up to a subsequence, we may also assume that is weakly convergent to some . For every , it follows that
[TABLE]
From the arbitrariness of we infer that and that , whence by assumption . On the other hand, we have
[TABLE]
whence by assumption and a contradiction follows.
Now let in be such that
[TABLE]
By the previous step is weakly convergent, up to a subsequence, to some . If , arguing as before we find
[TABLE]
for all , whence a contradiction. Therefore, it is . ∎
Theorem 4.4**.**
The functional \varphi\bigl{|}_{\widehat{M}} is bounded from below and satisfies for all , namely every sequence in satisfying
[TABLE]
admits a converging subsequence.
Proof.
Of course, \varphi\bigl{|}_{\widehat{M}} is bounded from below by assumption . To prove , let us recall that
[TABLE]
Let be a sequence in and a sequence in such that
[TABLE]
By Lemma 4.3 we have and is bounded hence weakly convergent, up to a subsequence, to some . If we set
[TABLE]
it follows
[TABLE]
whence
[TABLE]
Up to a subsequence, is strongly convergent in and there exists such that
[TABLE]
Then we have
[TABLE]
From assumption we infer that and follows. ∎
Now let be an index as in Section 3 and define, for every ,
[TABLE]
where we agree that if there is no with . It is easily seen that .
Theorem 4.5**.**
The following facts hold:
if , which is equivalent to
[TABLE]
then is achieved and
[TABLE] 2.
if there exists an odd and continuous map
[TABLE]
then ; 3.
if , then is an eigenvalue; 4.
if
[TABLE]
then
[TABLE] 5.
we have
[TABLE]
Proof.
When is of class , the assertions are well known consequences of Theorem 4.4 (see e.g. [37]). The result in the case of manifolds of class follows from [16, 38]. ∎
Example 4.6**.**
Let be defined by
[TABLE]
Then the problem
[TABLE]
has no solution with and we have
[TABLE]
On the other hand, assumption is not satisfied.
5. Convergence of measures and of functionals
In this section we introduce the notion of local -convergence of measures in and study its properties in relation to the -convergence of suitable functionals.
5.1. Convergence of capacitary measures
In the first part of this subsection we take advantage of the results of [17], where the case was considered. On the other hand, taking into account Proposition 2.8, only minor changes are required in the general case.
Definition 5.1**.**
Let be an open subset of . We say that a non-negative Borel measure in is -capacitary if, for every with , we have .
A -capacitary measure in is said to be outer regular, if
[TABLE]
Definition 5.2**.**
Two -capacitary measures in are said to be equivalent, if
[TABLE]
We denote by the quotient of the set of all -capacitary measures in with respect to such an equivalence relation.
Proposition 5.3**.**
For every -capacitary measure in , if we set
[TABLE]
then is an outer regular -capacitary measure in equivalent to .
Moreover, if are two equivalent outer regular -capacitary measures in , then .
Proof.
In the case , see [17, Theorems 2.6, 3.9 and 3.10 and Remark 3.4]. ∎
Definition 5.4**.**
If , we write if
[TABLE]
It is easily seen that this is an order relation in .
Example 5.5**.**
Let us provide the two most important examples of -capacitary measures. The first one is given by the measure corresponding to a subset of , defined as
[TABLE]
The other one consists in a measure absolutely continuous with respect to , that is, for a -measurable function , the measure defined as
[TABLE]
On the other hand, let us see that each -capacitary measure admits a decomposition incorporating contributions of this particular form.
Definition 5.6**.**
For every , we denote by the union of all Borel and -finely open subsets of such that . This is called the set of -finiteness of .
Since each -finely open set is -quasi open, the set is well defined and in fact -finely open.
Proposition 5.7**.**
Let and let be two representatives of . Then the following facts hold:
we have
[TABLE] 2.
we have that
[TABLE]
is the outer regular representative of ; 3.
there exists a Borel and -finely open subset of such that and, if we set
[TABLE]
then is a -finite -capacitary measure in independent of the choice of and of the representative of .
Proof.
In the case , see [17, Theorem 2.6, Proposition 3.16, Remark 3.13 and Theorem 3.17]. ∎
Definition 5.8**.**
For every , we define a -measurable function by
[TABLE]
and we denote by the singular part of with respect to .
Proposition 5.9**.**
The following facts hold:
for every , we have
[TABLE]
for all with either or -quasi open; moreover,
[TABLE]
is the outer regular representative of ; 2.
for every with , we have
[TABLE] 3.
if is a -quasi open subset of and , then
[TABLE]
whence
[TABLE] 4.
if is -measurable and , then
[TABLE] 5.
if is -quasi upper semicontinuous and , then
[TABLE]
Proof.
If , it follows from Proposition 5.7 and the Radon-Nikodym Theorem that
[TABLE]
while, if and is -quasi open, we have by assertion of Proposition 5.7. In particular,
[TABLE]
is the outer regular representative of by of Proposition 5.7.
Since is -finite, we have . Then the assertion follows from , as and can be supposed to be also Borel, up to a set of null -capacity.
By the Radon-Nikodym Theorem, we have
[TABLE]
while it is obvious that
[TABLE]
[TABLE]
is -quasi open (see Remark 2.5). Therefore, by Remark 2.9, there exist a Borel and -finely open set and with such that
[TABLE]
Then we have
[TABLE]
whence
[TABLE]
and the assertion follows from . ∎
Example 5.10**.**
Let and be a closed subset of with empty interior and . If we set
[TABLE]
and consider , then we have , whence -a.e. in .
Remark 5.11**.**
If and , then the integral
[TABLE]
is well defined, as
[TABLE]
and the sets are Borel and -quasi open.
Then the space
[TABLE]
is well defined and, for every , we have
[TABLE]
by of Proposition 5.7.
Again from of Proposition 5.7 we infer that the integral
[TABLE]
is well defined for all .
Moreover, if is a sequence in and , then the assertion the sequence is weakly convergent to in is independent of the choice of the representative of .
Assume now that is a bounded and open subset of . Here we take advantage of the results of [20]. For every , we denote by the torsion function in associated with , defined as the (unique) minimizer of the functional
[TABLE]
Remark 5.12**.**
The sets and coincide up to sets of null -capacity.
Proof.
From Remark 5.11 we infer that . On the other hand, by the quasi-Lindelöf property (see Proposition 2.8), there exists a sequence of Borel and -finely open subsets of with and . Then we have
[TABLE]
by Proposition 5.3 and [20, Theorem 5.1], whence . ∎
If we set
[TABLE]
it follows from [20, Theorem 5.1] that , endowed with the weak topology of , is compact and metrizable. Moreover, again from [20, Theorem 5.1] and from Proposition 5.3, it follows that the map
[TABLE]
is bijective. Then is endowed with the topology that makes such a map a homeomorphism. Therefore, is a compact and metrizable topological space.
Definition 5.13**.**
If is a bounded and open subset of , a sequence in is said to be -convergent to if it is convergent to with respect to the topology we have just defined. This means that is weakly convergent to in .
In the following, we will simply write -convergent instead of -convergent. Being a countable product of compact and metrizable topological spaces, also
[TABLE]
endowed with the product topology is compact and metrizable.
Proposition 5.14**.**
The map
[TABLE]
is injective with closed image.
Proof.
For every and with -quasi open, we have
[TABLE]
Therefore the map is injective.
If is a sequence in such that (\mu^{(n)}\bigl{|}_{\mathcal{B}(B_{k}(0))}) is -convergent to in for all , it follows from Proposition 5.3 and [20, Theorem 6.12] that \nu_{k+1}\bigl{|}_{\mathcal{B}(B_{k}(0))}=\nu_{k}. If we set
[TABLE]
and we denote by the equivalence class of
[TABLE]
it is easily seen that and \mu\bigl{|}_{\mathcal{B}(B_{k}(0))}=\nu_{k} for all . Therefore the map has closed image. ∎
Then is endowed with the topology that makes such a map a homeomorphism between and its image. Therefore, also is a compact and metrizable topological space.
Definition 5.15**.**
A sequence in is said to be locally -convergent to if it is convergent to with respect to the topology we have just defined. Taking into account Proposition 5.3 and [20, Theorem 6.12], this means that (\mu^{(n)}\bigl{|}_{\mathcal{B}(\Omega)}) is -convergent to \mu\bigl{|}_{\mathcal{B}(\Omega)} in for all bounded and open subset of .
In particular, if are -quasi open subsets of , the sequence is said to be locally -convergent to if is locally -convergent to . If for some bounded and open set , then this is equivalent to the classical notion of -convergence of sets.
5.2. Lower estimate and asymptotic equicoercivity
for a sequence of functionals
For every , we define a first lower semicontinuous and convex functional
[TABLE]
by
[TABLE]
Proposition 5.16**.**
If and is a sequence in satisfying
[TABLE]
and converging to some in , then and is weakly convergent to in .
Proof.
The sequence is weakly convergent to in and, up to a subsequence, is weakly convergent to some in . If we consider
[TABLE]
as a convex subset of , we have that (u\bigl{|}_{B_{1}(0)},\nabla u,v) belongs to the weak closure of , as (u^{(n)}\bigl{|}_{B_{1}(0)},\nabla u^{(n)},u^{(n)})\in C. Then there exists a sequence (w^{(n)}\bigl{|}_{B_{1}(0)},\nabla w^{(n)},w^{(n)}) in strongly converging to (u\bigl{|}_{B_{1}(0)},\nabla u,v). Up to a subsequence, q.e. in , hence -a.e. in . Then -a.e. in . ∎
Theorem 5.17**.**
If is locally -convergent to in , then
[TABLE]
Proof.
By Proposition 5.3 we may assume, without loss of generality, that we have chosen for each and for the outer regular representative.
Let be a sequence converging to in with
[TABLE]
Without loss of generality, we may assume that this value is not . Up to a subsequence, it follows that ,
[TABLE]
and is weakly convergent to in .
If we define by
[TABLE]
then , with for all compact subsets of , and with
[TABLE]
Now fix and define
[TABLE]
as the above minimization problem admits one and only one minimizer. Then ,
[TABLE]
up to a subsequence is convergent in to some and is weakly convergent to in . Moreover
[TABLE]
Since is strongly convergent to in , from [20, Theorems 6.3 and 6.11] we infer that and
[TABLE]
for all and .
In particular, if with , we have
[TABLE]
By the arbitrariness of , we infer that and
[TABLE]
for all , whence
[TABLE]
In particular, is convergent to in . By the lower semicontinuity of we conclude that
[TABLE]
and the proof is complete. ∎
Example 5.18**.**
Let and let . Then is locally -convergent to , but it is false that
[TABLE]
Actually, if we take , we have but it is impossible to find a sequence converging to in with , because each has compact support, which implies that is convergent to [math] in .
If , we will see by Proposition 5.21 and Theorem 5.24 that the assertion is true.
Proposition 5.19**.**
Let be a sequence in and with and
[TABLE]
Then, for every sequence in such that
[TABLE]
there exist and a subsequence converging to in .
Proof.
It is enough to prove that
[TABLE]
Assume, for the sake of contradiction, that, up to a subsequence, we have
[TABLE]
Then a suitably rescaled sequence satisfies
[TABLE]
It follows that, up to a subsequence, is convergent to some in , whence
[TABLE]
so that is a constant with , as . On the other hand
[TABLE]
and a contradiction follows. ∎
5.3. Convergence of functionals
In order to relate the local -convergence of measures in with the -convergence of functionals on , we need to introduce, roughly speaking, a homogeneous Dirichlet-type condition at infinity.
For every , we first define the convex functional
[TABLE]
by
[TABLE]
then we denote by its lower semicontinuous envelope.
Lemma 5.20**.**
If , there exists a sequence in such that ,
[TABLE]
Proof.
Consider the space
[TABLE]
Then is a reflexive Banach space, when endowed with the norm
[TABLE]
Let be such that , for and for . Then define for all . Of course and it is easily seen that is weakly convergent to [math] in (by the way, strongly if ). Therefore [math] belongs to the weak closure of the convex set
[TABLE]
Then there exists a sequence in such a convex set strongly converging to [math] in . In particular, each satisfies outside some compact subset of , is strongly convergent to [math] in and is convergent to [math] uniformly on compact subsets of , as .
It follows that has the required properties. ∎
Proposition 5.21**.**
If , we have
[TABLE]
If , we have
[TABLE]
Proof.
Since is lower semicontinuous, we clearly have
[TABLE]
Assume first that . Let and let be such that , , for and for . If we set , we have , and is convergent to in . We also have
[TABLE]
It is easily seen that is bounded in and convergent to [math] a.e. in . Moreover, for every there exists such that
[TABLE]
It follows (see e.g. [21, Lemma 4.2]) that is strongly convergent to [math] in . By the lower semicontinuity of we infer that
[TABLE]
Now it remains only to show that whenever . Assume, for the sake of contradiction, that and let be a sequence converging to in with , whence eventually as . Since is bounded in , we have that is bounded in . Therefore, and a contradiction follows.
If , let with , let be a sequence as in Lemma 5.20 and let be sequence of positive numbers increasing to such that . If we define
[TABLE]
we have
[TABLE]
Then we have that is convergent to in with and
[TABLE]
whence the assertion. ∎
Before dealing with the main result of this subsection, we need the following.
Proposition 5.22**.**
Let be such that . Then .
Proof.
We have
[TABLE]
whence
[TABLE]
For every Borel and -quasi open subset of , there exists such that by Proposition 2.8. It follows
[TABLE]
whence going to the limit as . ∎
Corollary 5.23**.**
Let be such that . Then .
Proof.
It follows from Propositions 5.21 and 5.22. ∎
The main purpose of this subsection is to show that a sequence of measures is convergent to in if and only if is convergent to in . In the case a similar result was obtained by Bucur in [7, Appendix]; our more general case requires a more involved proof.
Theorem 5.24**.**
A sequence is locally -convergent to in if and only if
[TABLE]
Proof.
Again, by Proposition 5.3 we may assume, without loss of generality, that we have chosen for each and for the outer regular representative.
Assume first that is locally -convergent to .
Step 1. liminf inequality. By Proposition 5.21 and Theorem 5.17, we have to treat only the case . We take a sequence converging to in with
[TABLE]
and, without loss of generality, we may assume that with
[TABLE]
Since is bounded in , we have that is bounded in . Therefore and the assertion follows again from Proposition 5.21 and Theorem 5.17.
Step 2. limsup inequality. Let with , let and let be an open neighborhood of in . Let with and let be such that a.e. in . For every , define
[TABLE]
as the above minimization problem admits one and only one minimizer. Then, testing with we obtain the upper bound
[TABLE]
for all . Thus is convergent to in . Let us fix large enough to have .
Then and the Euler-Lagrange equation for the minimization problem defining yields
[TABLE]
Now, for every , let
[TABLE]
as again this problem has one and only one minimizer. Then we have and
[TABLE]
From [20, Theorem 6.3] we infer that is weakly convergent to in . In particular, we have eventually as . Moreover, it is
[TABLE]
Therefore, having in mind the topological definition of limsup, we obtain
[TABLE]
and the assertion follows from the arbitrariness of and .
Assume now that
[TABLE]
Up to a subsequence, is locally -convergent to some in . By the previous step, we infer that
[TABLE]
whence . By Proposition 5.22 we have and the assertion follows. ∎
We conclude the section by highlighting some further consequences of the local -convergence.
Corollary 5.25**.**
Let be locally -convergent to and be locally -convergent to in with for all .
Then .
Proof.
It follows from Theorem 5.24 and Proposition 5.22. ∎
Corollary 5.26**.**
If is locally -convergent to in , then
[TABLE]
whenever is a strictly decreasing and continuous function such that there exists with convex on .
Proof.
If is a bounded and open subset of and is -convergent to in , then
[TABLE]
as
[TABLE]
for all by Remark 5.12.
On the other hand, for every we have
[TABLE]
and the first assertion follows.
When dealing with the second assertion, we follow an argument inspired by [12, Theorem 4.1]. Without loss of generality, we assume that
[TABLE]
and we set , so that is a bounded sequence in , thus (up to subsequences) weakly convergent to some in . On the other hand, by Theorem 5.24, for every there exists a sequence in converging to in such that
[TABLE]
Combining assertion of Proposition 5.9 with the strong-weak lower semicontinuity theorem of [32], we infer that
[TABLE]
as the function is convex.
By Proposition 5.22, we infer
[TABLE]
whence -a.e. in by and of Proposition 5.9.
Since is strictly decreasing, we infer that -a.e. in , whence
[TABLE]
and the second assertion also follows. ∎
6. Towards variational eigenvalues for sign-changing
capacitary measures
Let . In this section we introduce the candidate “variational eigenvalues” for the problem
[TABLE]
and prove some basic properties.
Consider an index as in Section 3 and the related families and with respect to the metrizable and locally convex topological vector space . Let be the functional introduced in Section 5 and define by
[TABLE]
[TABLE]
Then, for every integer , set
[TABLE]
Remark 6.1**.**
It is immediate from the definition to note that, if with , then
[TABLE]
Proposition 6.2**.**
For every with
[TABLE]
there exists a sequence in converging to in such that
[TABLE]
Proof.
By Proposition 5.21 we also have . Therefore, there exists a sequence in converging to in such that
[TABLE]
Taking into account Proposition 5.16, we have that is weakly convergent to in and is weakly convergent to in , and with
[TABLE]
Then the assertion follows. ∎
Proposition 6.3**.**
The following facts hold:
if
[TABLE]
then we have for all ; 2.
if
[TABLE]
then we have ; 3.
if
[TABLE]
then we have for all .
Proof.
From Proposition 6.2 it follows that for all , whence the assertion.
If satisfies
[TABLE]
it is easily seen that for some , whence the assertion.
Let with
[TABLE]
and let us choose a representative for , and .
By substituting with
[TABLE]
with large enough, we may assume that a.e. in and that
[TABLE]
If we set
[TABLE]
we have that is a positive Radon measure on and there exist two Borel functions such that
[TABLE]
whence
[TABLE]
We have
[TABLE]
Therefore, if is a Lebesgue point of with respect to such that (see [1, Corollary 2.23]), we have . Then, for every , we can find Lebesgue points of with respect to such that
[TABLE]
Let be such that whenever and such that
[TABLE]
For every , let be such that
[TABLE]
If we set
[TABLE]
we have and , whence . ∎
Example 6.4**.**
Let , , and . Since
[TABLE]
we have for all nonempty, compact and symmetric subset of with
[TABLE]
Therefore, it follows that
[TABLE]
By the way, a direct computation shows that
[TABLE]
where satisfies .
Proposition 6.5**.**
Assume one of the following conditions:
if is a sequence in satisfying
[TABLE]
and converging in to some , then
[TABLE] 2.
we have .
Then, for every integer , we have
[TABLE]
Proof.
We aim to apply Theorem 3.5 and Remark 3.6. Actually, assumption of Remark 3.6 follows from assumption and Proposition 6.2, while assumption of Remark 3.6 follows from Proposition 5.16 and assumption . ∎
Proposition 6.6**.**
If we set and define accordingly, then we have
[TABLE]
If either assumption or assumption of Proposition 6.5 is satisfied, then we also have
[TABLE]
Proof.
Of course, we have
[TABLE]
To prove that
[TABLE]
we aim to apply Theorem 3.4. Assumption is clearly satisfied, while assumption follows from Proposition 6.2 and assumption follows from Proposition 5.16. Therefore, the first claim is proved.
Then we also have
[TABLE]
By Proposition 6.5 the second assertion follows. ∎
7. Semicontinuity properties of inf-sup values of measures
Throughout this section, we consider three sequences , , in , three measures , an index as in Section 3 and the related inf-sup values and defined in Section 6 with respect to the metrizable and locally convex topological vector space .
We also consider the functionals , defined in Section 5 and we define
[TABLE]
by
[TABLE]
and
[TABLE]
in the analogous way with instead of .
7.1. Lower semicontinuity of inf-sup values of measures
Throughout this subsection we assume that: **
if is a strictly increasing sequence in and is a sequence in satisfying
[TABLE]
and converging in to some , then
[TABLE] 2.
if , we do not have and ; 3.
we have
[TABLE]
Lemma 7.1**.**
If is a strictly increasing sequence in and is a sequence in satisfying
[TABLE]
and converging in to some , then
[TABLE]
Proof.
Let be a compatible distance in . By Proposition 6.2, for every there exists such that
[TABLE]
[TABLE]
On the other hand, by assumption we have
[TABLE]
and, for every ,
[TABLE]
By the arbitrariness of the assertion follows. ∎
Proposition 7.2**.**
If is a strictly increasing sequence in and is a sequence in satisfying
[TABLE]
then there exists a subsequence converging in to some with
[TABLE]
Proof.
Consider first the particular case in which
[TABLE]
By Lemma 7.1 it is enough to prove that
[TABLE]
If , this fact follows from the boundedness of in . If , assume for the sake of contradiction that
[TABLE]
Then a suitably rescaled sequence satisfies
[TABLE]
Up to a subsequence, is convergent in to some satisfying, by Lemma 7.1,
[TABLE]
Therefore is a nonzero constant and , while . This fact contradicts assumption .
Now let us treat the general case and suppose, for the sake of contradiction, that up to a subsequence
[TABLE]
Then a suitably rescaled sequence satisfies
[TABLE]
By the previous step, up to a subsequence is convergent in to some such that
[TABLE]
It follows that is a nonzero constant and that , while . If , this is a contradiction, as . If , a contradiction follows from assumption . ∎
Theorem 7.3**.**
For every integer , we have
[TABLE]
Proof.
We aim to apply Corollary 3.2 with . Assumption of Corollary 3.2 is obviously satisfied, while assumption of Corollary 3.2 is just assumption and assumption of Corollary 3.2 follows from Proposition 7.2.
Finally, if and , we infer that is constant, , and we cannot have
[TABLE]
by assumption . Therefore assumption of Corollary 3.2 is satisfied and the assertion follows. ∎
7.2. Upper semicontinuity of inf-sup values of measures
Throughout this subsection we assume that: **
if is a strictly increasing sequence in and a sequence converging to in with
[TABLE]
then
[TABLE] 2.
we have
[TABLE]
Theorem 7.4**.**
Assume one of the following conditions:
if is a sequence in satisfying
[TABLE]
and converging in to some , then
[TABLE] 2.
we have .
Then, for every integer , we have
[TABLE]
Proof.
First of all we claim that, by Theorem 3.4, we have
[TABLE]
Actually, assumption of Theorem 3.4 is obviously satisfied, while assumption is assumption and assumption is implied by assumption .
A fortiori we have
[TABLE]
and the assertion follows from Proposition 6.5. ∎
8. Existence of nonlinear eigenvectors for sign-changing
capacitary measures
Let . In this section we want to show that, under suitable assumptions, the inf-sup values introduced in Section 6 are true eigenvalues of the problem
[TABLE]
with corresponding eigenvectors. To this aim, we will relate the inf-sup values with the inf-sup values defined in a functional setting where standard variational methods apply.
Throughout this section we assume that: **
if is a sequence in satisfying
[TABLE]
and converging in to some , then
[TABLE] 2.
if , we do not have and .
Taking into account Proposition 5.16, these assumptions turn out to be hypotheses and of Section 7, in the case in which , and .
Proposition 8.1**.**
If is a sequence in satisfying
[TABLE]
then there exists a subsequence converging in to some with
[TABLE]
Proof.
Taking into account Proposition 5.16, it is a particular case of Proposition 7.2. ∎
Now we set
[TABLE]
Proposition 8.2**.**
We have that is a vector subspace of and
[TABLE]
is a norm on which makes a uniformly convex Banach space.
Moreover, is dense in and the linear maps
[TABLE]
are completely continuous.
Proof.
It is easily seen that is a vector subspace of and that is a norm in . In particular, assumption guarantees that only if .
Of course
[TABLE]
is a linear isometry. We claim that its image is closed. Actually, if is a sequence in such that is convergent to , from Propositions 8.1 and 5.16 we infer that, up to a subsequence, is convergent in to some with and the claim follows.
Therefore, is a uniformly convex Banach space. By Proposition 6.2 we have that is dense in , while the linear maps
[TABLE]
are completely continuous by Propositions 8.1 and 5.16. ∎
Remark 8.3**.**
We will see that in standard variational methods apply. On the other hand depends on , and , while is a fixed space, hence more suitable for -convergence.
If , where is -quasi open, and , then endowed with the usual structure of uniformly convex Banach space.
We also define by
[TABLE]
and set
[TABLE]
Of course, , and are even, convex, positively homogeneous of degree and of class . According to Section 4, we denote by the family of nonempty, compact and symmetric subsets of (with respect to the topology of ) such that and we set
[TABLE]
where we agree that if there is no included in with .
Theorem 8.4**.**
For every integer , we have
[TABLE]
Proof.
Let
[TABLE]
and denote by the family of nonempty, compact and symmetric subsets of such that .
Of course, the topologies of and of agree on finite dimensional subspaces. Moreover, assumption of Remark 3.6 is satisfied by , and in the space , while assumption of Proposition 6.5 is just assumption . Combining Theorem 3.5 with Proposition 6.5, we infer that
[TABLE]
Of course, we have
[TABLE]
as . On the other hand, if , we have that
[TABLE]
satisfies and , whence
[TABLE]
and the assertion follows. ∎
Corollary 8.5**.**
If there exists such that
[TABLE]
then we have for all .
Proof.
It follows from Proposition 6.3 and Theorem 8.4. ∎
Theorem 8.6**.**
The functionals , and satisfy the assumptions and of Section 4. In particular, the assertions of Theorem 4.5 hold true.
Proof.
Since is the composition
[TABLE]
the complete continuity of follows from the complete continuity of the first map and the continuity of the other maps.
Given , it is standard (see e.g.[6]) that is of class . Then also
[TABLE]
is of class .
Finally, if satisfies , then is a nonzero constant, , and we cannot have
[TABLE]
Example 8.7**.**
Let , , and
[TABLE]
Then we have
[TABLE]
On the other hand, assumption is not satisfied.
9. On the existence of optimal capacitary measures
Let and be a -measurable function. Let also be the -measurable function introduced in Definition 5.8 and set , and
[TABLE]
If , we define a convex function by
[TABLE]
and denote by its conjugate function, namely
[TABLE]
Since
[TABLE]
we have
[TABLE]
Throughout this section, we assume that: **
- •
if , we have
[TABLE]
- •
if , we have
[TABLE]
and
[TABLE]
- •
if , we have
[TABLE]
and there exists such that
[TABLE]
Proposition 9.1**.**
The following facts hold:
if is locally -convergent to in and for all , then and
[TABLE] 2.
for every with , the assumptions and of Section 8 are satisfied by , in particular
[TABLE] 3.
for every , we have
[TABLE]
if and only if there exists such that
[TABLE]
Proof.
By Corollary 5.25 we have . The second assertion follows from Theorem 7.3 as soon as the assumptions -- are verified. We deal first with assumption . Actually, we prove a stronger statement, which will be useful also in the verification of .
Let us consider a strictly increasing sequence in and a sequence in converging in to with
[TABLE]
We claim that
[TABLE]
Up to a subsequence, is convergent to -a.e. in and we have
[TABLE]
Since for every it is
[TABLE]
it is enough to show that
[TABLE]
In the case , the sequence is bounded in , so that (9.2) follows from assumption .
If , first of all by assumption there exists such that
[TABLE]
If we set , we have
[TABLE]
and . Since
[TABLE]
it follows that
[TABLE]
Now, in the case , according to [35, Theorem 1.1] there exist such that
[TABLE]
Therefore, for every there exists such that
[TABLE]
On the other hand, we have
[TABLE]
and
[TABLE]
by assumption and (9.1). Therefore (9.2) follows.
In the case , we have that is bounded in each with and (9.2) follows again from assumption . Therefore assumption is satisfied.
Assumption follows from the previous step, Theorem 5.24 and Proposition 5.16.
Finally, in the case also assumption is satisfied, as implies that .
We argue as in the previous step, noting that assumption is a special case of .
The assertion follows from Proposition 6.3. ∎
Theorem 9.2**.**
Let be a function as in Corollary 5.26 and let
[TABLE]
Denote by the set of ’s in such that
[TABLE]
and such that there exists satisfying
[TABLE]
If then, for every nondecreasing in each variable and lower semicontinuous, there exists a minimum of
[TABLE]
satisfying
[TABLE]
Proof.
If
[TABLE]
then is a minimum with the required property. If
[TABLE]
let be the set endowed with the topology of the lower semicontinuity: a subset of is said to be open if for some .
For every , we have for all by of Proposition 9.1. Then the map
[TABLE]
is continuous from into by Proposition 9.1 and the function is lower semicontinuous from into . Therefore the functional
[TABLE]
is lower semicontinuous from into .
Let . Since is nondecreasing in each variable, it is enough to restrict the minimization to
[TABLE]
Observe that, if is a sequence in locally -converging to in , then by of Proposition 9.1, which implies that there exists satisfying
[TABLE]
by of Proposition 6.3. Combining this fact with Corollary 5.26 and of Proposition 9.1, it follows that , so that is a nonempty and closed subset of the metrizable and compact space .
Therefore, there exists a minimum of
[TABLE]
If
[TABLE]
define for
[TABLE]
Then -a.e. in and . Moreover, from and of Proposition 5.9 we infer that
[TABLE]
In the case , we have and is -finite on , whence -a.e. in . If , let
[TABLE]
Then we have
[TABLE]
whence . It follows that
[TABLE]
If we choose such that
[TABLE]
then is a minimum with the required property. ∎
Theorem 9.3**.**
Let
[TABLE]
and denote by the set of ’s in such that
[TABLE]
and such that there exists satisfying
[TABLE]
If then, for every nondecreasing in each variable and lower semicontinuous, there exists a minimum of
[TABLE]
satisfying
[TABLE]
Proof.
If , then is a minimum with the required property. Otherwise, assume that . Arguing as in the proof of Theorem 9.2, we find a minimum of
[TABLE]
If , consider defined by
[TABLE]
where is the outer regular representative of given by Proposition 5.3. Then it is easily seen that and that
[TABLE]
If for some Borel and -finely open , there exists a Borel and -quasi open such that and , so that
[TABLE]
by of Proposition 5.7. From the quasi-Lindelöf property we infer that
[TABLE]
whence
[TABLE]
If we choose such that
[TABLE]
then is a minimum with the required property. ∎
Now we first consider the particular case in which
[TABLE]
for some -quasi open subset of and some -quasi upper semicontinuous function .
Corollary 9.4**.**
Let be a function as in Corollary 5.26 and let
[TABLE]
Denote by the set of -measurable functions such that
[TABLE]
and such that there exists satisfying
[TABLE]
If then, for every nondecreasing in each variable and lower semicontinuous, there exists a minimum of
[TABLE]
satisfying
[TABLE]
where with
[TABLE]
Proof.
We aim to apply Theorem 9.2. Without loss of generality, we may assume that . Consider and each defined on all with value outside . Then the definition of and (9.3) can be reformulated as
[TABLE]
For every there exists a sequence in converging to in with q.e. in . Combining this fact with Proposition 5.9, we see that, if and is defined according to (9.3), then we have . On the other hand, if we infer again from Proposition 5.9 that . Moreover, by of Proposition 5.9 we have
[TABLE]
Let be a minimum of
[TABLE]
according to Theorem 9.2. By Proposition 5.9, since is nondecreasing in each variable, we have
[TABLE]
Since , the assertion follows. ∎
Then let us consider the particular case in which for some -quasi open subset of . For every -quasi open subset of and , we set .
In this case assumption reads: **
- •
if , we have
[TABLE]
- •
if , we have
[TABLE]
and
[TABLE]
- •
if , we have
[TABLE]
and there exists such that
[TABLE]
In particular, assumption is satisfied if and .
Corollary 9.5**.**
The following facts hold:
if is a sequence of -quasi open subsets of locally -converging to a -quasi open subset , then and
[TABLE] 2.
for every -quasi open subset of , the assumptions and of Section 8 are satisfied by , in particular
[TABLE] 3.
for every -quasi open subset of , we have
[TABLE]
if and only if there exists satisfying
[TABLE]
in particular, if , and , then the eigenvalues agree with those defined by (1.1).
Proof.
Taking into account Definition 5.15 and Proposition 5.9, it is a particular case of Proposition 9.1. ∎
Corollary 9.6**.**
Let and denote by the family of -quasi open subsets of such that
[TABLE]
and such that there exists satisfying
[TABLE]
If then, for every nondecreasing in each variable and lower semicontinuous, there exists a minimum in of
[TABLE]
satisfying
[TABLE]
Proof.
We aim to apply Theorem 9.3. By Proposition 5.9, if we have . On the other hand, if we infer again from Proposition 5.9 that , whence .
Let be a minimum of
[TABLE]
according to Theorem 9.3. By Proposition 5.9, since is nondecreasing in each variable, we have
[TABLE]
Since , the assertion follows. ∎
Proof of Theorem 1.3.
Let , and , so that assumption is satisfied. According to Corollary 9.5, for every -quasi open subset of with , the eigenvalues agree with those defined by (1.1). Then the assertion follows from Corollary 9.6. ∎
Proof of Theorem 1.4.
We aim to apply Corollary 9.4. Without loss of generality, we may assume that . Let , and , so that . A fortiori we have on . Since has finite measure, it is easily seen that assumption is satisfied. Then the assertion follows. ∎
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