Fractional Sobolev inequalities associated with singular problems
Grey Ercole, Gilberto de Assis Pereira

TL;DR
This paper investigates Sobolev inequalities related to singular problems involving the fractional p-Laplacian operator within bounded domains, contributing to the understanding of fractional Sobolev spaces and singular differential operators.
Contribution
It introduces new Sobolev inequalities tailored for singular problems with the fractional p-Laplacian, expanding the theoretical framework for these operators.
Findings
Established fractional Sobolev inequalities for singular problems
Extended classical inequalities to fractional p-Laplacian context
Provided mathematical tools for analyzing singular fractional PDEs
Abstract
In this paper we consider Sobolev inequalities associated with singular problems for the fractional -Laplacian operator in a bounded domain of , .
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Fractional Sobolev inequalities associated with singular problems
**Grey Ercole and Gilberto de Assis Pereira
*Departamento de Matemática - Universidade Federal de Minas Gerais
Belo Horizonte, MG, 30.123-970, Brazil.*** **Email: [email protected] (corresponding author)**Email: [email protected]
Abstract
In this paper we consider Sobolev inequalities associated with singular problems for the fractional -Laplacian operator in a bounded domain of ,
2010 Mathematics Subject Classification. Primary 35A23; 35R11; Secondary 35A15.
Keywords: Best constants, fractional -Laplacian, singular problem, Sobolev inequalities.
1 Introduction
Let be a bounded, smooth domain of () and, for let denote the fractional Sobolev space defined as the completion of with respect to the norm
[TABLE]
where
[TABLE]
is the Gagliardo semi-norm and denotes the standard norm of (a notation that will be used in the whole paper).
Thanks to the fractional Poincaré inequality (see [6, Lemma 2.4]),
[TABLE]
is a norm in equivalent to (1). Thus,
[TABLE]
equipped with the norm is a Banach space. Moreover, is uniformly convex and compactly embedded into for all
[TABLE]
continuously embedded into when and compactly embedded into the Hölder space when (see [6, Lemma 2.9]). We refer the reader to [13] for a self-contained exposition on the fractional Sobolev spaces.
In this paper we will consider the Sobolev inequalities associated with the fractional, singular problem
[TABLE]
where is a nonnegative (weight) function in for some and denotes the fractional -Laplacian, formally defined by
[TABLE]
In the case the Sobolev inequality associated with (4) takes the form
[TABLE]
We will prove that the best (i.e. the larger) constant in (5) is
[TABLE]
where denotes the only weak solution of (4). We also will show that
[TABLE]
if, and only if, is a scalar multiple of
By means of a limit procedure (when ) we will deduce the following Sobolev inequality
[TABLE]
Moreover, we will prove that the best constant in this inequality is
[TABLE]
provided that it is finite, and that
[TABLE]
if, and only if, is a scalar multiple of the only weak solution of the singular problem
[TABLE]
Our approach here is based on that developed in [14], where we have considered the local, singular equation Here, besides the technical difficulties related to the nonlocal operator, we also have to deal with a non-constant weight
The literature on singular problems for equations of the form has primarily focused on local operators as the Laplacian, (see [2, 4, 7, 11, 18, 19, 23]), or the -Laplacian, (see [1, 10, 14, 15, 16, 21]).
As regarding to nonlocal (fractional) operators, the literature on singular problems is quite recent and more restricted to (see [3, 8]). Furthermore, according to our knowledge, Sobolev-type inequalities associated with fractional singular problems have not been investigated up to now.
In general, the energy functional associated with a singular problem of the form is not differentiable. This fact makes very difficult the direct application of variational methods for proving existence of solutions for this kind of problem. In order to overcome this issue (in the cases where is a local operator), authors have employed the sub-super solutions method (see [7, 19, 21]) or a method of approximation by nonsigular problems introduced in [4] by Boccardo and Orsina (see [2, 10]). Recently, in [8], the latter method was applied to (4) in order to obtain the existence of a weak solution, in the case and also the existence of a solution in in the case We remark that singular problems for equations of the form might not have weak solutions (in the standard sense) when and is a general positive weight (see [19]). This fact is related to the singularity of the problem when the support of intercepts the boundary In fact, if and the support of is contained in a proper subdomain of the singular problem (4) has a unique weak solution (see Remark 2.5.3).
In order to make this paper self-contained we will present, in Section 2, results of existence, uniqueness and boundedness (in ) for the singular problem (4). The existence will be proved by applying the approximation method by Boccardo and Orsina, which consists in finding a solution as the limit of the sequence satisfying
[TABLE]
Many of the results presented in Section 2 are contained in [3] (for ) and [8] (for ), but we will contribute with some additional information. For example, we will prove that for all This property makes simpler the proof that converges strongly to a solution of (4) when is bounded in It also holds true for the local version of the problem.
Our main results, related to the Sobolev inequalities (5) and (6), will be proved in the Sections 3 and 4, respectively.
2 The fractional singular problem
In this section we will provide a framework for the fractional singular problem (4). First, we will present results of uniqueness and boundedness for the singular problem (4). In the sequence we will study a family of nonsingular problems whose solutions approach the solution of (4) when it exists. At last, we will present a result of existence for (4) in the case
2.1 Preliminaries
Let us first fix the notation that will be used in the whole paper.
The duality pairing corresponding to the fractional -Laplacian is defined as
[TABLE]
where For the sake of clarity we will use the following notation
[TABLE]
which allows us to write
[TABLE]
and
[TABLE]
We will adopt the standard notations and for, respectively, the positive part of a function and the Hölder conjugate of a number Thus,
[TABLE]
Remark 2.1.1
If a function changes sign in then This stems from the following fact
[TABLE]
The symbol will denote, for each a positive constant satisfying
[TABLE]
The existence of such a constant comes from the continuity of the embedding Accordingly, the symbol will be used to denote the constant relative to the combined case and since the embedding is also continuous in this case.
Definition 2.1.2
We say that is a weak solution of the singular, fractional Dirichlet problem (4), with if the following conditions are satisfied:
- (i)
for each subdomain compactly contained in there exists a positive constant such that
[TABLE] 2. (ii)
for each one has
[TABLE]
Condition (i) arises from the singular nature of (4) and guarantees that the right-hand term of (11) is well defined. The following proposition shows that the distributional formulation (ii) leads to the traditional notion of weak solution, according to which the set of testing functions is taken to be
Proposition 2.1.3
Let be a weak solution as defined above. Then
[TABLE]
Proof. First we show, by using Fatou’s Lemma and Hölder inequality, that
[TABLE]
Let be an arbitrary function in and take such that in and also pointwise almost everywhere. Thus,
[TABLE]
Now, we fix and such that in Then, by taking in (12) we obtain
[TABLE]
that is,
[TABLE]
Combining this fact with the strong convergence we can make in the inequality
[TABLE]
(recall that is a distributional solution), in order to obtain
[TABLE]
2.2 Uniqueness
The following lemma is well-known.
Lemma 2.2.1
Let and There exist positive constants and depending only on such that
[TABLE]
and
[TABLE]
Lemma 2.2.2
Let There exists a positive constant depending at most on and such that
[TABLE]
Proof. When estimates (14) and (10) yield
[TABLE]
Now, let us consider the case It follows from (14) that
[TABLE]
Hölder inequality yields
[TABLE]
where
[TABLE]
and
[TABLE]
Therefore,
[TABLE]
At this point we can already prove that weak solutions are unique.
Theorem 2.2.3
The singular fractional Dirichlet problem (4), with has at most one weak solution.
Proof. Let us suppose that are weak solutions of (4). Then, according to Proposition 2.1.3, we have
[TABLE]
since the integrand of the right-hand term is not positive in Thus, according to Lemma 2.2.2, we must have showing that almost everywhere.
2.3 bounds
The following lemma can be found in [22, Lemma 2.1]. For the sake of completeness, we sketch its proof.
Lemma 2.3.1
Let be a nonnegative and nonincreasing function defined for all and such that
[TABLE]
where and are constants, and . Then,
[TABLE]
where
Proof. Let be the increasing sequence defined by Using (15) one can show, by induction, that
[TABLE]
Hence, since we obtain (16), after making
Theorem 2.3.2
Let and with If is positive in and satisfies
[TABLE]
then Moreover, for each one has
[TABLE]
where
[TABLE]
Proof. Let
[TABLE]
be the -super-level set of for each Since we obtain
[TABLE]
where the first inequality can be easily checked.
Let be such that Then, the continuity of the Sobolev embedding and the Hölder inequality imply that
[TABLE]
so that
[TABLE]
Let Then, and
[TABLE]
After combining this with (19) we get (recall that )
[TABLE]
which can be rewritten as
[TABLE]
where
[TABLE]
and
[TABLE]
It follows from Lemma 2.3.1, with that
[TABLE]
This fact shows that and
[TABLE]
where
[TABLE]
After choosing the optimal value of we obtain
[TABLE]
Remark 2.3.3
When the proof of Theorem 2.3.2 applies if and In this case, the estimate (17) becomes
[TABLE]
When the condition naturally holds true if in which case the estimate (17) is valid for any fixed
2.4 A family of approximating problems
The following lemma is inspired by the proof of Lemma 9 of [20].
Lemma 2.4.1
Let and denote Then,
[TABLE]
where
[TABLE]
Proof. Making use of the identity
[TABLE]
we obtain
[TABLE]
where is given by (20).
Hence, we can write (recall that )
[TABLE]
Since
[TABLE]
the proof is complete. (The latter inequality is very simple to check.)
In the sequel we will show that, for each there exists a unique function such that
[TABLE]
where
[TABLE]
Proposition 2.4.2
Let and For each there exists a unique function satisfying (21) in the weak sense, that is,
[TABLE]
Moreover, is strictly positive in belongs to for some and
[TABLE]
Proof. We will obtain as a fixed point of the operator that associates to each the only weak solution of the nonsingular Dirichlet problem
[TABLE]
The function is obtained through a direct minimization method applied to the functional
[TABLE]
which is strictly convex and of class Thus, is both the only minimizer and the only critical point of this functional. Hence,
[TABLE]
and
[TABLE]
It follows that
[TABLE]
where is a positive constant that is uniform with respect to (we have used the continuity of the embedding ).
It follows from (26) that
[TABLE]
and thus, by taking into account the compactness of the embedding we conclude that the operator is compact.
We are going to show, by contradiction, that is also continuous. Thus, we assume that there exist and in such that
[TABLE]
where and We can also assume, without loss of generality, that almost everywhere in (this comes from the convergence in ).
It follows from (25), with that
[TABLE]
where
[TABLE]
Therefore,
[TABLE]
Since and almost everywhere in , Dominated Convergence Theorem guarantees that
[TABLE]
At this point we consider separately the cases and
Case In this case, it follows from Lemma 2.2.2 and (27) that
[TABLE]
that is,
[TABLE]
where the positive constant does not depend on
After combining this inequality with (29) and (30) we obtain
[TABLE]
which contradicts (28).
Case In this case Lemma 2.2.2 and (29) yield
[TABLE]
Hence, after using (30) we arrive at
[TABLE]
which also contradicts (28).
We have proved that is compact and continuous. Moreover, (27) implies that leaves invariant the ball Therefore, by applying Schauder’s Fixed Point Theorem we conclude that has a fixed point in this ball. Of course,
[TABLE]
in the weak sense.
Since the right-hand term of the above equation is nonnegative and belongs to , we can apply the comparison principle for the fractional -Laplacian (see [20, Lemma 9]) and the main result of [17] to conclude, respectively, that is nonnegative and belongs to for some ( does not depend neither on nor on ).
It follows from [5, Theorem A.1] that almost everywhere in Let us show, by employing a nonlocal Harnack inequality proved in [12], that for all Suppose, by the way of contradiction, that for some According Lemma 4.1 of [12], there exist positive constants and (with ) such that
[TABLE]
where denotes a ball centered at and contained in Since, the above inequality implies that is identically null in contradicting thus the fact that almost everywhere.
In order to prove the uniqueness of we assume that satisfies
[TABLE]
Then,
[TABLE]
since the integrand of the right-hand term is not positive in
On the other hand, by applying Lemma 2.2.2, we conclude that showing that almost everywhere in
We finish this proof by observing that (23) follows directly from (24), with and
[TABLE]
Proposition 2.4.3
The sequences and are nondecreasing, that is
[TABLE]
Proof. Let It follows from (22) that
[TABLE]
Since
[TABLE]
we have and, hence,
[TABLE]
since the integrand above is not positive.
On the other hand, it follows from Lemma 2.4.1 that
[TABLE]
where
[TABLE]
Note that implies that a pair of equalities that lead to
After comparing (32) with (31) we can conclude that
[TABLE]
at almost every point implying that at almost every point Since is zero out of this fact implies that almost everywhere. That is, almost everywhere.
The second conclusion follows then from (23) with
[TABLE]
In what follows is such that
[TABLE]
Since we can check that \psi\in C^{\beta_{s}}(\overline{\Omega})\for some and that (See arguments in the proof of Proposition 2.4.2, based on [5, 12, 17]).
Proposition 2.4.4
Let be the weak solution of (22), with and We have
[TABLE]
where
[TABLE]
Proof. Let be any nonnegative function in Then,
[TABLE]
It follows from the comparison principle for the fractional -Laplacian that This concludes the proof since for all
The following corollary is immediate since is strictly positive in and continuous in
Corollary 2.4.5
Let be an arbitrary subdomain compactly contained in There exists a positive constant that does not depend on such that
[TABLE]
Taking into account the monotonicity of the sequence let us define, for each the function by
[TABLE]
We anticipate that for almost every (see Remark 2.5.2).
Proposition 2.4.6
Let and If the sequence is bounded in then it converges in to and this function is the weak solution of (4).
Proof. We note that the condition (i) of Definition 2.1.2 is fulfilled, according to Corollary 2.4.5. Thus, we need to check the condition (ii).
The boundedness of implies that there exists a subsequence converging to a function weakly in and pointwise almost everywhere. This implies that almost everywhere, so that
Thus, by applying (23) with we obtain
[TABLE]
Combining this fact with the monotonicity of we get
[TABLE]
where the latter inequality stems from the weak convergence
We have concluded that
[TABLE]
and hence we obtain the strong convergence .
This convergence and the Corollary 2.4.5 allow us to pass to the limit, when in
[TABLE]
in order to obtain
[TABLE]
This concludes the proof that is a weak solution of (4).
The next result is a reciprocal of Proposition 2.4.6.
Proposition 2.4.7
Let and Suppose that is a weak solution of (4). Then, converges in to and .
Proof. Let On the one hand, according to Lemma 2.4.1, we have
[TABLE]
On the other hand,
[TABLE]
Thus, by repeating the arguments in the proof of Proposition 2.4.3 we can conclude that almost everywhere.
Hence, by using (23), we obtain the boundedness of the sequence in
[TABLE]
Consequently, according to Proposition 2.4.6, converges in to and this function is the only solution of (4). Therefore,
2.5 Existence for the singular problem
In the sequel we will use the following notation
[TABLE]
Theorem 2.5.1
Let and with The sequence is bounded in Consequently, it converges in to and this function is the weak solution of (4).
Proof. We will assume in this proof, without loss of generality, that (note that whenever ).
According to Proposition 2.4.6, we need only to show that the sequence is bounded in
We have
[TABLE]
where the equality follows from (22). Thus, when
In the case by applying Hölder inequality to (36), we obtain
[TABLE]
Hence, when we have , so that
[TABLE]
It follows that is bounded in and
[TABLE]
At last, for we have so that, by (37),
[TABLE]
Therefore, is bounded in W_{0}^{s,p}(\Omega)\and
[TABLE]
Remark 2.5.2
Theorem 2.5.1 guarantees that if and with then for almost every The same holds true if and Indeed, in [8, Lemma 3.4] the authors proved that, under these hypotheses, the sequence is bounded in This fact and the monotonicity of imply that so that for almost every
Remark 2.5.3
When we have
[TABLE]
Thus, if belongs to and vanishes in for some proper subdomain of then
[TABLE]
which shows that is the only weak solution of (4).
3 Sobolev inequality associated with
In this section we consider and with where is defined by (35). Thus, according to Theorem 2.5.1, the existence of the unique weak solution of the singular problem (4) is guaranteed.
In order to derive the Sobolev inequality (5) we will first show that minimizes the energy functional associated with the singular problem (4), defined by
[TABLE]
Since is not differentiable we will obtain its minimizer as the limit of the sequence by taking advantage that minimizes the energy functional associated with (21), which is defined by
[TABLE]
where is the increasing function
[TABLE]
(as usual, ).
One can easily see that is of class and
[TABLE]
Thus, nonnegative critical points of are weak solutions of (21). Moreover, by making use of standard arguments one can also check that is coercive and bounded from below. All of these features of allow one to verify that attains its minimum value at a function Since for all one has Of course, the minimizer is also a critical point of that is,
[TABLE]
Therefore, since is the only nonnegative function satisfying (22).
Proposition 3.0.1
The function minimizes the energy functional
Proof. Recall that strongly in and that Thus,
[TABLE]
and
[TABLE]
These facts show that
For each we have
[TABLE]
and
[TABLE]
so that
Therefore, observing that we obtain
[TABLE]
In order to simply the notation in the sequence, let us define
[TABLE]
and
[TABLE]
Of course,
Theorem 3.0.2
One has
[TABLE]
Proof. Since is a weak solution of (4) we have
[TABLE]
so that
[TABLE]
what is the first equality in (39).
In order to prove the second equality in (39) let us fix It follows from (40) that
[TABLE]
Now, for any we have
[TABLE]
that is
[TABLE]
By choosing
[TABLE]
we obtain
[TABLE]
so that
[TABLE]
This fact implies that
[TABLE]
and then the first equality in (39) shows that this infimum is reached at
From now on we denote the minimum in (39) by that is,
[TABLE]
Corollary 3.0.3
The inequality
[TABLE]
holds if, and only if,
Proof. Since
[TABLE]
it follows from Theorem 3.0.2 that (42) holds for any We can see from (41) that if then (42) fails at some
Proposition 3.0.4
The only minimizers of the functional on are and Therefore, if
[TABLE]
for some then for some constant
Proof. Let be such that We observe from Remark 2.1.1 that does not change sign in Indeed, otherwise we would arrive at the following absurd, since
[TABLE]
Thus, without loss of generality, we assume that in (otherwise, we proceed with instead of ).
Since and we have
[TABLE]
showing that
[TABLE]
Observing that and
[TABLE]
we can conclude that: and
[TABLE]
We recall that the functional is strictly convex over Thus, the second equality in (44) implies that
We have shown that for some if, and only if, either or Thus, if (43) holds true for some then either or where (since and ).
4 Sobolev inequality associated with
According to (41)
[TABLE]
We would like to pass to the limit, as in the above inequality. For this, we need the following two lemmas.
Lemma 4.0.1
Let and The map
[TABLE]
is well-defined and nondecreasing.
Proof. For simplicity, let us denote so that For each we have, by Hölder’s inequality,
[TABLE]
Therefore, since the embedding is continuous, the map (46) is well-defined.
Now, in order to prove the monotonicity of this map, let By Hölder’s inequality we have
[TABLE]
implying that
[TABLE]
Lemma 4.0.2
Let The map
[TABLE]
is nondecreasing, for some
Proof. Since there exists such that whenever Thus, according to Section 3, for each there exists such that
[TABLE]
Now, let We have
[TABLE]
where the second inequality comes from Lemma 4.0.1.
Remark 4.0.3
L’Hôpital’s rule and Lemma 4.0.1 show that
[TABLE]
As a consequence of Lemma 4.0.2, we can define
[TABLE]
and also conclude that
[TABLE]
However, we cannot guarantee, at least in principle, that According to (45), one way of achieving this is to show the existence of a function satisfying
[TABLE]
or, equivalently,
[TABLE]
Apparently, the task of finding such a function is not simple when a general nonnegative function is considered. Note, for example, that if and vanishes over a part of the support of in such a way that then
[TABLE]
This is what happens when but in this case it is possible to built (see [14]) a suitable function that vanishes only on and satisfies
[TABLE]
A simpler situation where (47) holds is when is compactly supported in In fact, if there exists a subdomain such that for almost every then we can take a smooth function such that in order to obtain
[TABLE]
Our feeling is that, in fact, whenever with But we were not able to prove this generically, even knowing that
[TABLE]
as (45) and Remark 4.0.3 show. Since this issue of generically determining the finiteness of goes beyond of our purposes in this paper, we will assume from now on that
Theorem 4.0.4
Let and suppose that We have
[TABLE]
Proof. The proof follows immediately from (45), by making
We are proceeding in the direction of proving that (49) becomes an equality for some More precisely, we will show that is the minimum of the functional on the set
[TABLE]
Note that if, and only if, there exists satisfying (48). Moreover, if then The reciprocal of this will follow immediately from our next theorem.
In the following results denotes the function defined by
[TABLE]
where is given by (38).
It is simple to check that
[TABLE]
and that
[TABLE]
Theorem 4.0.5
Let and suppose that Then converges in to a nonnegative function which minimizes the functional on Moreover, the only minimizers of this functional on are and Consequently, the equality in (49) holds for some if, and only if, for some constant
Proof. Multiplying the equation in (52) by and integrating over we obtain
[TABLE]
Therefore,
[TABLE]
This fact implies that there exist and a function such that: (weakly) in in and for almost every We remark that in since in
The weak convergence implies that
[TABLE]
Note from (49) that for every Thus, by taking (53) into account, in order to conclude that minimizes the functional on we need only to prove that
According to (45), we have
[TABLE]
so that
[TABLE]
Hence, in view of (53), we can conclude that
[TABLE]
Now, let us fix an arbitrary Then, for all large enough (such that ) we have
[TABLE]
according to (51) and Lemma 4.0.1. It is straightforward to check that the convergence in implies that
[TABLE]
Therefore,
[TABLE]
This fact and (55) show that
[TABLE]
Since
[TABLE]
we conclude that
[TABLE]
that is, Thus, we have
[TABLE]
The (strong) convergence in then stems from the first equality in (56).
Now, let be a function that attains the minimum on We emphasize that does not change sign in Otherwise, since also belongs to we would arrive at the contradiction
[TABLE]
Thus, without loss of generality, we will assume that
Repeating the arguments developed in the proof of Proposition 3.0.4 we obtain
[TABLE]
so that
[TABLE]
Therefore,
[TABLE]
from what follows that
[TABLE]
The strict convexity of the Gagliardo semi-norm then implies that
Since is the unique nonnegative function that attains the minimum on we can conclude that the convergence in does not depend on the subsequence going to
We would like to pass to the limit in (52), as in order to conclude that the minimizer is the solution of the singular problem
[TABLE]
The convergence in shows that
[TABLE]
However, due the singular nature of the equation in (52), this convergence is not enough to directly obtain
[TABLE]
For this, we will assume that in order to use the boundedness results of Subsection 2.3.
In the sequel is the function satisfying (33).
Lemma 4.0.6
Let with and suppose that There exist positive constants and such that
[TABLE]
Proof. Since satisfies (52), we can apply Theorem 2.3.2 (with replaced by ) to conclude that
[TABLE]
where (the equality only in the case ) and
[TABLE]
Therefore,
[TABLE]
It follows that, by increasing if necessary, there exists such that for all
Thus,
[TABLE]
where and
[TABLE]
Therefore, by the weak comparison principle we get the estimate
[TABLE]
valid in , for every
Proposition 4.0.7
Let with and suppose that The minimizer is the weak solution of the singular problem (57).
Proof. We recall that is positive in and belongs to for some Hence, according to the previous lemma, is bounded from below by a positive constant (that is uniform with respect to ) in each proper subdomain This property guarantees that (59) holds. Since we have already obtained (58), the conclusion follows.
5 Acknowledgments
This work was supported by CNPq/Brazil (483970/2013-1 and 306590/2014-0) and Fapemig/Brazil (APQ-03372-16).
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