1. Introduction and Main Result
In recent years, fractional and nonlocal operators have been more and more widely used in modern applied science, such as optimization, plasma physics, finance, population dynamics, soft thin films, geophysical fluid dynamics, phases transitions, game theory, water waves, stratified materials, and so on; for more related applications, see [
1,
2,
3] and references therein.
In this article, we concentrate on the qualitative analysis of positive solutions for the following perturbed fractional
p-Laplacian problems:
where
,
,
,
is a real parameter, the perturbation term
is nonnegative and
, and
is a bounded domain of
with Lipschitz boundary. Here,
is the fractional
p-Laplace operator defined by
where
denotes the ball of
centered at
, with radius
. We refer the reader to [
4,
5] and the references therein for further introduction to the fractional Sobolev spaces theory and the study of fractional
p-Laplacian problems based on variational methods.
As in the case of
p-Laplacian equations, the existence of solutions for fractional
p-Laplacian equations has drawn a lot of attention. More precisely, for the following quasi-linear problems
Wu et al. in [
6] obtained a new regularity result for problem (
3) by establishing a modified Marcinkiewicz interpolation result, and the authors also employed the Stampacchia truncation method to obtain a new regularity result on
for problem (
3). In addition, by using the Leray-Schauder fixed point theorem, the authors in [
6] obtained the existence of solutions to a class of fractional Laplacian problems with weak growth conditions. For the regularity results, we can also refer to [
7], although the work in [
7] mainly focuses on the case where
p is large, and the regularity of the solution is directly inherited from the function embedding itself. Bjorland et al. in [
8] obtained some higher regularity with
s close to
by showing that the solutions converged to the solutions with the
p-Laplace operator
whenever
.
As
, Ambrosetti and Rabinowitz made new assumptions about nonlinearity for the first time when they studied the elliptic equation
,
in [
9], where
f satisfies
;
;
- (AR)
There exists and such that , for , where .
Here, the last condition is the well-known (AR) condition, which contributes significantly to the compactness condition of the mountain pass theorem. However, more and more researchers have become aware that the (AR) condition has a certain constraint so that it is difficult to include some important nonlinearities. Therefore, this condition has been weakened or even abandoned in many papers. A weaker condition than the (AR) condition was proposed by Miyagaki and Souto in [
10], that is,
. Furthermore, the authors used the mountain pass theorem to obtain the existence of nontrivial weak solutions for the problem
,
for all
, in which
f also satisfies
–
and a monotonicity assumption instead of the (AR) condition. It is worth mentioning that the monotonicity assumption in [
10] reads as follows:
There is such that
In addition, Willem and Zou in [
11] proposed a monotonicity assumption to replace the (AR) condition. More specifically, they considered the following condition:
Another monotonicity condition as an effective substitute of (AR) was proposed by Jeanjean in [
12]
There is such that
Indeed,
implies
if
; we refer to [
13] [Proposition 2.3] for a proof.
Below we present some nonlinear terms that satisfy subcritical or critical growth, which are also instructive for this paper. To our knowledge, an assumption imposed on the nonlinearity in most of the papers is . Along this direction, the following growth condition imposed on the nonlinearity in solving p-Laplacian equations was often used in the literature:
There are and such that , for every .
Furthermore, a more general growth condition was proposed to study the existence of solutions in [
14]:
is a continuous function such that
, for all , where .
Motivated by the above assumptions, we impose the following hypotheses on the nonlinearity f:
is a Carathéodory function and fulfills
where
,
,
,
,
.
For each , is nondecreasing in t, as , and as .
Obviously, is weaker than or . However, a simple example for ; for satisfying demonstrates that it does not satisfy the (AR) condition or other monotonicity assumptions mentioned in this paper.
It is easy to see that there are a lot of functions satisfying our assumption
that do not satisfy the (AR) condition. Moreover, our condition
for subcritical and critical growth is relatively more general than the usual subcritical one
or
. Importantly, our monotonicity condition
is weaker than condition
or
, which is one of the advantages that the approach in [
15] brings us. For our approach in this paper, we point out that the author in [
15] used a non-variational fixed point theorem to find the nontrivial solution of a class of nonhomogeneous fractional
p-Laplacian equations. As a result, the approach in [
15] has aroused our interest in solving some quasi-linear elliptic equations; we refer the interested reader to [
16,
17] for more details on the study of nonhomogeneous fractional singular
p-Laplacian equations and systems involving critical nonlinearities. Here, we would like to point out a key point that owing to the particularity of this approach, we do not need to appeal to the compactness of the Sobolev embedding theorem, so that we can avoid this difficulty when dealing with the critical case. Guided by this idea, we turn our attention to a class of perturbed fractional
p-Laplacian equations. As a matter of fact, we can find a nonnegative weak solution of (
1) by using the approach above. Due to the existence of the nonhomogeneous term, we can further obtain the positive solution of problem (
1). In practice, we could ignore the nonhomogeneous term if the zero solution can be easily ruled out. Finally, inspired by Theorem 3.1 in [
18], we can prove that the weak solution to problem
found by the fixed point theorem in [
15] is
-bounded. To the best of our knowledge, subcritical and critical assumptions for related Laplacian problems in the available literature are often treated separately by various variational methods. In this sense, our result is new, even in the Laplacian setting.
Now, let us introduce the space
endowed with the norm
, where
is represented as the usual Lebesgue function space, endowed with the norm
, and the Gagliardo seminorm
is defined by
We consider the subspace of
:
, which can be equivalently endowed with the norm
(see [
4] [Theorem 7.1]). Therefore, the space
is a reflexive Banach space (see [
19] [Lemma 2.4]). Next, we set
Then, from the continuous embedding
, for all
(see [
19] [Lemma 2.3]), it follows that
.
Definition 1. We say that is a (weak) solution of problem (1), if for all , where and .
The main result in our article is stated as follows:
Theorem 1. Suppose that f satisfies –, (dual space of ), and . Then, there exists such that for all , problem (1) possesses a positive weak solution . Furthermore, if and , then the obtained solution is . Remark 1. If we consider the critical case, i.e., , we also obtain the existence of at least a positive solution, but we can not guarantee that the positive solution is -bounded.
Remark 2. We can only guarantee the existence of a weak solution to problem (1) for small perturbation, i.e., . The case of high perturbation () seems completely open. Our article is organized as follows. In
Section 2, we recall some necessary knowledge along with a description of the main method of this paper.
Section 3 is devoted to demonstrating the main result of this article.
Unless otherwise specified, we indicate that , , , , ... are positive constants.
3. Proof of Theorems
Next, in order to apply Lemma 1 to prove the existence of the weak solution, we define the following two operators:
(the dual space of
) given by
and
given by
Evidently, the operators and are well defined.
Lemma 2. The operator is continuous and invertible.
Proof. Let such that in . For with , using Hölder’s inequality, we can deduce
Next, we will employ the following basic inequality to estimate
:
By invoking the Hölder inequality and (
9), there exists
such that
Since
in
, (
10) yields that
as
. Then, the operator
is continuous. Notice that
,
. It follows that
. Furthermore, we also need the following inequality:
from which we can obtain
Therefore, by means of the Minty–Browder Theorem (cf. [
21] [Theorem 5.16]), we obtain that the operator
is reversible. Hence, the proof is complete. □
The next step is to explore the monotonicity of operators. For this purpose, we consider the partial order in
as follows:
In addition, for any
,
,
and
exist for the partial order ⪯. It is easy to see that
and
are almost everywhere in
, so we have
. To summarize,
is a reflexive Banach semilattice. Meanwhile, the following partial order is embedded in the dual space
of
,
where
.
Additionally, we consider the operator
to be monotonically increasing. In fact, we choose
,
such that
◃
and set
,
; then, for
, we have
Taking
, we conclude that
from which it follows that
almost everywhere in
, then
; hence, the operator
is increasing. For more computational details, we refer to [
16] [Lemma 3.2].
Now, we turn our attention to the operator
and make a necessary estimate for it. According to the definition of
, we have
By the Hölder inequality, the Sobolev embedding theorem (cf. [
22] [Lemma 2.1]) and
, there exists
such that
where
is the best Sobolev constant of the continuous embedding
.
When
, a similar estimate can be calculated; hence, we obtain
We define a new operator
. Combining (
18) and the definitions of
and
, we give the following key result.
Lemma 3. Under the assumptions of Theorem 1, there exists such that for all ,where , and the norm in is consistent with that in . Proof. Let
u,
with
. Since
and
, we have
Combining (
18) and (
21), we deduce
We consider that
, which implies
Let
be sufficiently small such that
Letting
then for all
, it is easy to derive that
Note that the result of the Lemma 3 also holds in the case of . Hence, the proof is complete. □
Finally, we deal with the monotonicity of operator
and the existence of solutions to problem (
1). We say that operator
is increasing if both operators
and
are increasing. Whereas we have proved in
Section 3 that operator
is increasing, we now focus on the monotonicity of operator
. By condition
and the definition of operator
, we can see that
is increasing. Now, by Lemma 1,
has the fixed point property, which means that there exists
such that
. Then, we have
Hence,
is considered to be a weak solution of problem (
1). Furthermore,
yields that
is a nontrivial weak solution of problem (
1). Since the perturbation term
and the nonlinearity
are both nonnegative under our assumptions, the weak solution
is nonnegative by the comparison principle (cf. [
23] [Proposition 2.10]), and then the strong maximum principle (cf. [
24] [Lemma 2.3]) implies that
is positive. Eventually, similar to the proof of Theorem 3.1 in [
18], we are able to obtain that the positive solution
is
-bounded in the case of
.