1. Introduction
We consider a nonlocal Dirichlet boundary value problem of the following form:
on a bounded domain
with smooth boundary
. Here,
g is a suitable given data, and the leading operator is defined by
which is the sum of a
-Laplacian operator and of a
-Laplacian operator. The variable exponents are bounded and bounded away by 1, and they are precisely defined by referring to the following maps:
By
, we mean the Dirichlet–Sobolev space with constant exponent
satisfying
(that is,
denotes the closure of
in
) (for a better understanding of the role of constant exponent
, see Lemma 2 and subsequent discussion). To underline the degree of generality in defining exponents
, we recall two typical examples of maps
b of the following form:
namely, we may link
to two norm definitions that are relevant from a mathematical point of view. Here,
denotes the critical Sobolev exponent of
(namely,
if
and
otherwise); see also (
7) for the precise definition in the case of variable exponents.
The differential operator
is a nonhomogeneous operator that is usually known as
-Laplacian operator. Differential problems involving such operator play a crucial role in modeling various physical phenomena and life science dynamics. For some references, we note the works of Ružička [
1], Shi et al. [
2] and Zhang and Rădulescu [
3] (electrorheological fluid). Some other applications to model porous media and viscous flows can be found in Antontsev and Shmarev [
4], where the authors consider various evolution equations and discuss existence, uniqueness, localization and asymptotic behavior of solutions under appropriate growth conditions. Briefly, the analysis of variational problems with the
-Laplacian operator arises from the nonlinear elasticity theory, with the works of Marcellini [
5] and Zhikov [
6]. In [
5,
6], the authors present a study of energy integral functionals under suitable growth conditions for the integrand. Namely, they consider an energy functional of the following form:
under a
-growth condition (
) given by
Clearly, in the case of problem (
1), we have the following energy functional
The interest for such variational problems was recently revived by Mingione and co-authors, who obtained significant regularity results for local minimizers of functionals (see, for example, Baroni et al. [
7] and the references therein). The case where variable exponents depend on the unknown solution
u is not largely investigated; see, for example, the recent works of Chipot and de Oliveira [
8] and Vetro [
9]. This situation is relevant in the context of variational image denoising methods, where certain numerical approaches estimate the orientations of image structures from the data and, hence, use this information in building an energy functional to minimize. The performance of this minimization process benefits from using explicitly
u-dependence or
-dependence (recall (
2)), for image regularization (see Tiirola [
10] and the references therein). Moreover, for more information about nonlocal problems, the interested reader can refer to the works of Chipot and de Oliveira [
8] and Corvellec and Hantoute [
11] and the book of Diening et al. [
12].
Our approach involves the energy functional associated to problem (
1) using certain estimates of some integral terms together with the properties of auxiliary operators. We establish the existence of at least one weak solution in a suitable anisotropic Sobolev space without assuming any restriction on the growth of data
g.
The manuscript is organized as follows. In
Section 2, we present some notations and results used in the paper; in
Section 3, we provide the main theorems with complete proofs.
Section 4 concludes the manuscript.
2. Notation and Materials
In this section we introduce our notation and collect some useful materials. In the context of Banach spaces, if we denote by
X a Banach space, then its topological dual will be given as
. Now, we focus on the setting of Lebesgue and Sobolev spaces with variable exponents, but we also link these spaces to their counterparts with constant exponents. For a more complete view on framework structures, we suggest the recent monographies of Antontsev and Shmarev [
4] and Zhikov [
6,
13] (about differential problems subject to nonstandard growth conditions), Cruz-Uribe and Fiorenza [
14] and Diening et al. [
12] (about variable Lebesgue and Sobolev spaces). The exponent functions in our finding here are introduced as elements of the set, namely
, of all Lebesgue-measurable functions
for which their essential infimum and essential supremum are given as follows:
For
, we introduce variable exponent Lebesgue space
defined by the following:
where
The space
is a Banach space, where
is the well-known Luxembourg norm. From Fan and Zhao [
15], we recall some results involving
. For their proofs, we refer to Theorems 1.6 and 1.8 of [
15], for which their conclusions are summarized in the following result.
Theorem 1.
The following facts hold:
- (i)
is a separable Banach space;
- (ii)
is dense in.
Additionally, looking at Theorem 1.10 of [
15], we note the following result.
Theorem 2.
is an uniform convex space (thus, reflexive too), provided that.
To increase the discussion about norm properties, we recall Theorems 1.2 and 1.3 of [
15] in the following result involving also (
3).
Theorem 3.
If, then we have the following:
- (i)
if and only if;
- (ii)
If, then;
- (iii)
If, then;
- (iv)
In the case, thenif and only if.
According to the classical notation in variable exponents Lebesgue and Sobolev spaces, we will denote the dual space of
by
(instead than
). We point out that
means the Hölder conjugate of
in the sense that the following equality holds true:
The similar concept of Hölder conjugate applies in the case of constant exponents (for example,
will denote the Hölder conjugate of
). From the context, it is clear that
Additionally, in the case
, we consider the Hölder’s inequality given as
for all
and
. The above inequalities are also useful in establishing relevant embedding results. For example, Theorem 1.11 of [
15] uses the Hölder inequality to ensure the continuity of embedding in a bounded domain
. Namely, we have the following result.
Theorem 4.
Assume that the Lebesgue measure of Ω is finite (namely,) and.
Then, we have Moreover, the embedding is continuous.
We complete the discussion about the spaces involved in our study by introducing the variable exponent Sobolev space
defined by
On this space, we consider the norm given as
Similarly to the variable exponent Lebesgue space
, we note that
is separable when
. Moreover,
is reflexive if
. About the embedding properties, we remark that
For our analysis, it is useful to mention the anisotropic Dirichlet variable exponent space (see, for example, [
12]) defined by
where we consider the norm
If
, we can find some constant
such that
For more information we refer again to [
12]. Indeed, it is relevant to note that the norms
and
are equivalent to each other on
. Consequently, we can use
instead of
. With the abuse of notation, we write
Even if the variable exponent space originates as natural extension of the corresponding constant exponent space, there are some source of difficulties in developing the theory of
,
and
. For example, smooth functions are not necessarily dense in
. By letting the following:
we note that generally
However, in the case where
is a bounded domain with Lipschitz-continuous boundary
and
is log-Hölder continuous, the density of
in
holds true (for additional details, look at Theorem 2.6 of [
15]). For the reader’s convenience, we remark that
is a log-Hölder continuous function if the following condition is satisfied:
Summing up, (
6) gives us the equality
The log-Hölder continuity of
is ensured whenever
For a given Sobolev space
, we define the critical Sobolev exponent of
by
Referring to this notion, Fan and Zhao [
15] established the following result.
Proposition 1.
Letsatisfying. Ifandfor all, then there is a continuous and compact embedding.
We conclude this section by recalling some results related to classical properties of operators (see also Chipot [
16]). These results will be used in concluding the proof of our main theorem.
Lemma 1.
For all,
we have the following implications: The above lemma is linked to monotonicity, and the next theorem is linked to subjectivity.
Theorem 5 (Minty-Browder)
. Assume thatis a bounded, continuous, coercive and a monotone operator, where X is a real, reflexive Banach space. Then, for each data,
there is an element u satisfying the equation:that is,.
The following lemma is a consequence of similar one established by Chipot and de Oliveira.
Lemma 2 ([
8], Lemma 3.1)
. Let be two sequences. Assume that there exist such that the following is the case:- (i)
for all;
- (ii)
, as;
- (iii)
in, as;
- (iv)
, for some constantnot depending on n.
Then,and
Proof.
From Lemma 3.1 of [
8], we obtain
and
We define the set where we are going to look for the solutions to problem (
1) as follows:
If
for all
, this set is a Banach space for norm
defined in (
5), which is equivalent to
in the case of
. If, for some constant
,
,
p and
b are continuous, then
is a closed subspace of
in view of (
4); therefore, it is separable and reflexive. In what follows,
, with
, denotes as usual the dual space of
.
3. Main Results
We prove an existence theorem of at least one weak solution to the nonlocal Dirichlet problem (
1). Thus, we place some restrictions to the exponents and assume that
and
are real functions satisfying the following:
for some constants
and
. With respect to constant
, we define domain
of the real map
, and additionally we impose the following:
that is,
sends bounded sets of
into bounded sets of
. Since we are interested in solutions in a weak sense, we recall the following definition.
Definition 1.
For a weak solution to the problem (
1)
we mean a function such that the following is the case:with being the duality pairing of .
We remark that quantities and reduce to real numbers and not functions. Consequently, we can treat variable exponent Sobolev spaces in Definition 1 as constant exponent Sobolev spaces.
As ingredients of the existence theorem (namely Theorem 6), we consider certain classes of approximating problems (for short
,
) obtained from problem (
1) by assuming the following one as the leading operator:
where
and
with
are constant exponents. For
, as an approximating solution of problem
, we mean function
such that the following is the case:
with
being the duality pairing of
. Clearly, (
14) is (
13) in special cases
and
.
Remark 1.
We recall that the operator defined byfor allis bounded, continuous, strictly monotone and coercive. Therefore, weak solutionto problemexists by Theorem 5 and is unique by the strict monotonicity; that is, there is a unique that satisfies (
14).
In this context, we establish the following convergence result.
Lemma 3.
For,
letbe the solution to (
14).
If sequences and and the given data g satisfy the following conditions:then the sequence of approximating solutions converges as follows:where is the solution to the equation Proof.
The convergence in Equation (
17) is strong in
. However, we construct this result over an auxiliary weak convergence result for the gradient of
,
, in the constant exponent Lebesgue space
. To obtain this goal, by combining the convergences in (
15) with the relations among the involved exponents
(that is,
), we suppose without any loss of generality that the following is the case:
From (
14) with test function
, we derive the following inequality linking the integrand in (
18) to suitable norms of data
g and the gradient of approximating solutions. Namely, we have
We remark that
means the operator norm in Sobolev space
associated to the norm of gradient in Lebesgue space
. The relations in (
19) and an application of Hölder’s inequality lead to the following:
and
where by
, we mean again the Lebesgue measure of
. From (
20) and (
21), we obtain the following:
where
. Similarly, from (
20) and (
22), we obtain the following:
where
. Therefore, from (
21)–(
24), we obtain the following upper bound:
for some
, where we point out that constant
is independent of the index
n. Moreover, the upper bound (
25) ensures that we can find some subsequence of
(with abuse of notation, we use
to denote also this subsequence) and some
(namely,
u is a weak limit of the sequence
in the Sobolev space
) such that
The last convergence is the auxiliary weak result that we mentioned at the beginning of the proof. Now, combining the convergences in (
15) and (
26), with the relations among the involved exponents in (
19), with the upper bounds in (
23) and (
24), we can apply Lemma 2 to conclude that
By these inferior limits, we deduce that
We note that the equality in (
14) is equivalent to the following inequality:
Referring to the Minty’s lemma, we obtain the following inequality:
Then, for
in (
28), the convergences in (
15) and (
26) lead to the following inequality:
as
n goes to
in (
28). On the other hand, we note that space
is dense into
; hence, the inequality of (
29) remains true for every
. Therefore, we can consider test functions
in (
29), where
and
, and we obtain the following:
Clearly, if we take the limit as
in (
30), then we obtain the following:
which implies that
u solves (
18). What remains is to show that the convergence in (
17) holds true. To this aim, we first prove that the convergence of gradient terms in (
26) is in fact strong. Referring to the right hand side of (
14) (with test function
), we remark that
Choosing again as test function
in (
14) and using the above convergence (that is, (
31)), we deduce that
In addition, we refine the discussion about exponents
and
starting from the situation where
In this case, we use the Hölder’s inequality to obtain the following:
and
where by
we mean again the Lebesgue measure of
. Referring to the first part of the proof of the present lemma, we note that the sequences
are bounded. This implies that we can find some subsequence of
(with the abuse of notation, we use
to denote also this subsequence) such that the following limits exist, namely
Referring to the limit in (
32), we obtain the following inequality
On the other hand, we say that
Thus, we obtain the following
Thus, we obtain
(strongly) in
and in
, as
. Finally, since
, we conclude the convergence in (
17) as a byproduct of (
33).
Next, we develop similar arguments in the situation where the following is the case:
We introduce the non-negative monotone operator
defined by
From (
14),we deduce the equivalent form of
as follows
The hypothesis on the data (see (
16)) and the weak convergence in (
26) imply that
In addition, by using (
27), we deduce the following bounds:
and
We combine the information in (
34), (
36)–(
38) to conclude that
We involve in the proof in Lemma 1. Precisely, if we suppose that
then we refer to the first implication of Lemma 1; that is, we use (
8) in (
35) and deduce the following:
On the other hand,
(recall (
34)); hence, an application of Hölder’s inequality, together with (
39) and (
40), gives us the following:
as
. Consequently, the convergence in (
17) holds true. The other situation to consider is the second implication in Lemma 1. Namely, starting from the following:
we apply Hölder’s inequality to obtain that
Thus, from (
9), we deduce the following:
for some constant depending on
; that is,
. Now, (
41) and (
42) together with the bounds in (
24) lead to the following limit
This completes the proof of the convergence in (
17). □
We are ready to establish the main result of the paper in the form of the following existence theorem. Lemma 3 is the key tool of the proof.
Theorem 6.
Let,
,
be a bounded domain. If assumptions (
11)
and (
12)
hold and ,
then problem (
1)
admits at least one weak solution.
Proof. Starting from the assumption on data
g, we point out that
Now, for each
, we can find a unique solution
(see Remark 1) relative to the auxiliary
-Laplacian problem
For choice
, from (
43), we deduce the inequality
For the second norm term in (
44), the Hölder’s inequality leads to
and, hence, inequality (
44) gives us
From inequalities (
45) and (
46), keeping in mind assumption (
11), we deduce the following:
where
. Next, the second part of assumption (
12) says that
is a bounded function. This fact and the inequality (
47) imply that we can find
satisfying the range constraint for
given as
In view of the
-dependence herein, we look at function
given by
We note that
B is a continuous function. Indeed,
, as
, implies
and
(recall the first part of assumption (
11)). We set
and
, we use Lemma 3 to conclude that
From the first part of assumption (
12), we note the continuity of
. Thus, the following is obtained:
and, hence, the continuity of
is established. Consequently,
has a fixed point
and
solution of (
43) (for
) is clearly a solution to (
13). We conclude that function
corresponding to the fixed point
of
is a weak solution to (
1). □