1. Introduction
The aim of this paper is to study the asymptotic behavior of low energy extremals
for which the following supremum is attained:
with
-convergence, when
. Here,
is a bounded open subset of
,
, and
is a upper semicontinuous map, non zero in the
sense, and satisfies the following growth condition:
Additionally, the exponents satisfy the following conditions:
- (C1)
over ;
- (C2)
, where , for ;
- (C3)
p and q are Log-Hölder continuous;
- (C4)
The set .
We refer to the next section for the details of variable exponent Sobolev space. In our study, due to Condition (C4), the embedding is not compact.
For a constant exponent, Problem (
1) and its variants were extensively studied; see [
1,
2,
3,
4,
5,
6] and the references therein. For
,
, Lions [
7] used the concentration–compactness principle to prove that maximizing sequence of (
1) either converges to a single point of compact; the concentration-compactness principle was also used to prove the existence of a solution for many kinds of elliptic PDEs with critical growth (see [
8,
9,
10,
11]). Later on, Flucher and Müller [
2] generalized Lions’ concentration–compactness principle to study Problem (
1) for a constant exponent and discussed its various applications.
Bonder and Silva [
12] and Yongqiang [
13] proved the concentration/compactness principle for variable exponent Lebesgue spaces, independently, to deal with the following nonlinear elliptic PDE with critical growth at infinity:
where
is known as a
-Laplacian operator. Critical growth is known as
Many authors have studied models such as electrorheological fluids with variants of the above elliptic PDE with different boundary conditions (Neumann, Dirichlet, and nonlinear); see [
14,
15,
16,
17] and references therein.
Recently, Bashir et al. [
18] extended the work of Bonder and Silva [
12] and proved generalized concentration/compactness principles for variable exponent Lebesgue spaces. In addition, they initiated the work on Problem (
1) and proved the existence of low energy extremals.
-convergence is a significant variational convergence to study the asymptotic behavior of extremals of a sequence of functionals; typically, the
-convergence limit retains the desired features of a sequence.
This approach has already been used in similar scenarios. Bonder et al. [
19] used
-convergence to determine the subcritical approximation of the best constant associated with critical Sobolev embedding
. Briane et al. [
20] studied the asymptotic behavior of the sequence of equi-coercive nonlinear energies defined on vector-valued functions. Amaziane et al. [
21] worked with homogenization and minimization problems for a class of variational functionals, using
-convergence in the framework of Sobolev spaces with continuous variable exponents. Carbotti et al. [
22] proved the local minimality of half spaces in Carnot groups and provided a lower bound of
-lim inf of the recalled energy in the form of horizontal parameters. Kolditz and Mang [
23] studied the numerical solutions of quasi-static phase-field fracture problems based upon the
-convergence of parameters. For a comprehensive study on
-convergence, we refer to [
24].
In
Section 2, we present some preliminary concepts.
Section 4 deals with the proofs of the main results of Theorems 1 and 2. In
Section 5, we give some concluding remarks and possible future lines of research.
2. Preliminaries
To work in the framework of variable exponent Lebesgue spaces, we present some preliminary concepts here; for a detailed study, see [
25]. Variable exponent Lebesgue space with exponent
is defined as
with the following norm
The variable exponent Sobolev space is defined as
with the norm
The closure of in is denoted as . For the spaces , and are reflexive and separable Banach spaces.
Proposition 1. Let p and q be exponents satisfying conditions (C1)–(C4). Then, we have the continuous embedding Moreover, the above embedding is compact if .
Proposition 2 (Poincaré inequality).
For all u in , we have Let , then the following proposition is useful to deal with the variable exponent norm.
Proposition 3 ([
26]).
For and the sequence , Remark 1. The norms and are equivalent for the Sobolev space
In the end, we present two lemmas from [
18] for use in a later section.
Lemma 1. Consider and . Then,
- (a)
;
- (b)
Lemma 2. Let v in with . Take , , , satisfying . Let For G satisfying the growth condition (2), the following inequality holds: 3. Proposed Theorems
First, we fix some notions to present the main result:
Generalized Sobolev constant,
Moreover, denote
and
. In the case of equality, we assume that the following function exists:
To apply
-convergence, we consider the following functional:
Problem (
1) is rewritten as
However, for any sequence
in
, any functional defined on
alone cannot retain the desired properties of
. In this kind of scenario, the idea is to work on the ordered pair
and
is taken as a measure. Therefore, we consider the following space
where
is the set of all finite nonnegative finite Borel measures on
and
is a non-atomic measure in the decomposition of
. Furthermore, we define the convergence in this space as
We extend
to
as follows:
In our investigation, we prove the following functional as the
-convergence limit of
where
are the atoms of a limiting measure. Our main result is the following.
Theorem 1. Let p and q be the exponents satisfying (C1)–(C4). The sequence of functionals Γ-converges to the functional , i.e., the following two statements hold true for every :
- 1.
For every sequence of pairs in with , we have the inequality - 2.
There exists a sequence of pairs in with , which satisfies the following inequality:
Remark 2. In Theorem 1, what we call Γ
-convergence is known generally as -convergence; see [24]. Γ
-convergence is a proper variational convergence to study the convergence of maximizers. More explicitly, if is the sequence of low energy extremals (maximizers) of (i.e., or more generally, for ), in and in , then is a maximizer of . Furthermore, In fact, we prove that .
Theorem 2. Let , be a maximizing sequence for the functional with . Then as , this sequence concentrates at a single point in the sense that where Further, for each , there exists a maximizing sequence which concentrates at x.
In general, for Problem (
1), we can study many intersecting scenarios as applications. For example, with
we can work on Bernoulli’s free boundary problem as the following volume functional:
Equivalently, we can write as
where
is the harmonic capacity of the subset
A with respect to
, known as follows:
Bernoulli’s free boundary problem naturally arises in electrostatics, fluid dynamics, optimal insulation, and electrochemistry. We intend to work on such problems in the future.
4. Proofs of Theorems
The first task is to determine the possible
-convergence limit, in this regard: for the generalized concentration/compactness principle ([
18], Theorem 3) plays a vital role, but during our work on establishing the
-convergence, we realize that there is a need to refine the generalized concentration/compactness principle and find more sharp bounds. Therefore, we prove a refined version (of [
18], Theorem 3) before proving the main result.
Theorem 3. Let p and q be exponents satisfying (C1)–(C4). Let be a sequence in with . Take , if the following hold:
weakly in ,
in ,
in .
Then, for a countable index set I,where , is a positive non-atomic measure in and . Moreover, the atomic and regular parts satisfy the following generalized Sobolev-type inequalities: Remark 3. Note that the refinement is done in Inequalities (19) and (22) in comparison to Ref. [18], Theorem 3. Thus we only need to prove these inequalities. Proof. By Lemma 1,
when
. Hence,
Now,
and
converge to
, whereas
and
converge to
, when
. Hence, taking
,
and
In particular, for atoms
,
where
and
.
Now, for the regular part, there is a subsequence which satisfies
By Egoroff’s theorem, without loss of generality, we assume that
converges uniformly to
T on
. Thus,
On the other hand,
therefore,
By the Radon–Nikodym theorem, we deduce that a.e. in □
The above theorem greatly helps us to pinpoint -convergence limit and prove the main result.
Proof of lim sup inequality Theorem 1. Let
in
X, i.e.,
and
in measure. Let
Then, there exists a subsequence still called
such that
in measure and
In addition, (
19) and (
22) give us
□
Proof of lim inf Inequality
In the proof of the lim inf inequality of Theorem 1(2), we discuss two cases: one in which has no atoms (Proposition 4) and second in which has a finite number of atoms (Propositions 5 and 6).
Proposition 4. Let , thenwhenever, in X. Proof. Fix
, let us consider a sequence
from
, with
and
. Then there is a subsequence
in
; furthermore,
and
have the same atoms and thus,
is also atomless and
. In particular,
. In addition,
is weakly convergent to
u in
. Combining the two facts, we deduce that
strongly in
. Hence, there exists a subsequence
such that
a.e. on
and
. For a particular element
, if
then
, as
, so
and also we have
Now we discuss the case when
. By using the growth condition on
, we have the inequality
which implies
Finally, using the Lebesgue dominated convergence theorem, we obtain
□
In order to discuss the atomic part, we first prove the lemma below.
Lemma 3. For every pair , assume , then we have the inequality . Additionally, for some
Proof. Hence,
and for the case when
, and
for
, we have the equality
. □
Proposition 5. For every open set , for every and for every with , there exists the Γ
-limit of the sequence such that its restriction to satisfies Proof. Let us fix the open set
and also take
as
. Using the compactness property of
-convergence, there exists a subsequence which we denote by
with a functional
, and
Additionally, as
, Lemma 1 gives
By Lemma 3 for
in
we obtain
Hence, there exists some such that .
Take a family of spheres
, with center
and radius
. We can find by diagonalization a subsequence denoted by
, a functional
such that
for each
and for each
and
Following the similar method as before, for each sphere
, we can find
such that
Now as
, then
and the fact that
-limit is upper semicontinuous on
, we obtain
and by combining, we obtain
which implies
Again, using the fact that
-limit is upper semicontinuous and the density of
in
, for each
with
we have
The above process is independent of the selection of sequence; hence, for each pair where , there always exists a -limit and . □
Proposition 6. Let be a pair in . Then Proof. We will prove our result for
,
where
with
. We introduce first
, where
for
. By Proposition 5, there are sequences
in
such that
, where
and
.
which gives
Let us set
with
. Due to the fact that
and that the supports of
and
are disjoint for small
, it is to be noted that the functions
for every given
satisfy that
which implies specifically that
Thus, we obtain that the pair
is the part of the set
for
sufficiently small and further
when
. Finally, again using the fact that supports of
and
are disjoint, we obtain
□
The next lemma shows that the proof of the lim inf inequality of Theorem 1(2) for measures of disjoint support is sufficient for the general case.
Lemma 4. If the lim inf inequality of Theorem 1(2) holds for which satisfies
then the lim inf inequality of Theorem 1(2) holds for every .
Proof. Take such that and . Our target is to make a sequence which satisfies the following conditions:
and
as goes to 0,
in and ,
Define
for
and
and choose cut off functions
, with
,
in
in
,
. And further set
By similar steps as in [
6], we have the following deductions:
and
,
as
. Hence
in
. Further for every
we have
which implies
as measures in the space
when
goes to 0. Combining them, we have
, and as
, which implies that
satisfies condition (2). In particular
. The last condition is satisfied by the definition of the
-limit and
in
. Thus, we have
when
. By the upper semicontinuity of the
-limit, we obtain
where
and
,
.
Now consider a pair
such that
. Define a sequence
such that
.
Obviously,
and
as
. Using the above steps for the pair
, we obtain
for
. Again, applying the upper semicontinuity of the
-limit, we have
Lastly, we study for general pairs
for
, defined by
which then becomes
It is clear that
and
,
, as
On the lines of the previous steps, we obtain
Again applying the upper semicontinuity of the
-limit, we have
□
Now we are in a position to prove the main result.
Proof of Theorem 1. To complete the proof, it remains to show the lim inf inequality for the pair , satisfying the conditions of Lemma 4, given as follows:
Let us denote and . In addition, consider two open sets A and B in , with , and .
In view of Proposition 4, there exists a sequence of pairs
, where
,
with
for small
, and
and also,
In the same way, using Proposition 6, it follows that there exists a sequence of pairs
, where
,
and
for
small enough, and
and also,
Set now
with
. Since
,
with
,
and for small
we have
By (
24) and (
25), we have finally
and taking the limit as
□
Now we give the proof of the second main result, which follows directly from the -convergence result and Lemma 3.
Proof Theorem 2. We saw in the -convergence result and the Lemma 3 that, if is the maximizing sequence for , then converges to , where and every pair is a maximizer for the -limit . □