Continuity results with respect to domain perturbation for the fractional $p-$laplacian
Carla Baroncini, Julian Fernandez Bonder, Juan F. Spedaletti

TL;DR
This paper establishes conditions based on fractional capacity under which solutions to the fractional p-Laplacian remain continuous when the domain is perturbed, advancing understanding of domain stability in fractional PDEs.
Contribution
It introduces fractional capacity-based criteria ensuring solution continuity for the fractional p-Laplacian under domain perturbations.
Findings
Solutions are continuous under fractional capacity conditions.
Provides sufficient criteria for domain approximation stability.
Enhances understanding of fractional PDEs in variable domains.
Abstract
In this paper we give sufficient conditions on the approximating domains in order to obtain the continuity of solutions for the fractional laplacian. These conditions are given in terms of the fractional capacity of the approximating domains.
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Taxonomy
TopicsNonlinear Partial Differential Equations · Nonlinear Differential Equations Analysis · Fractional Differential Equations Solutions
Continuity results with respect to domain perturbation for the fractional laplacian
Carla Baroncini, Julián Fernández Bonder and Juan F. Spedaletti
Departamento de Matemática FCEN - Universidad de Buenos Aires and IMAS - CONICET. Ciudad Universitaria, Pabellón I (C1428EGA) Av. Cantilo 2160. Buenos Aires, Argentina.
Departamento de Matemática FCEN - Universidad de Buenos Aires and IMAS - CONICET. Ciudad Universitaria, Pabellón I (C1428EGA) Av. Cantilo 2160. Buenos Aires, Argentina.
[email protected] http://mate.dm.uba.ar/ jfbonder Departamento de Matemática, Universidad Nacional de San Luis and IMASL - CONICET. Ejército de los Andes 950 (D5700HHW), San Luis, Argentina.
Abstract.
In this paper we give sufficient conditions on the approximating domains in order to obtain the continuity of solutions for the fractional laplacian. These conditions are given in terms of the fractional capacity of the approximating domains.
Key words and phrases:
Fractional laplacian, domain perturbation, fractional capacity
2010 Mathematics Subject Classification:
35B30, 35J60
1. Introduction.
In recent years, there has been an increasing amount of attention in nonlocal problems due to some interesting new applications that these operators have shown to possess, such as some models for physics [6, 8, 9, 13, 16, 21], finances [1, 14, 18], fluid dynamics [3], ecology [12, 15, 17] and image processing [10].
In particular, the so-called laplacian operator have been extensively studied and up to date is almost impossible to give an exhaustive list of references. See for instance [5, 4] and references therein.
The laplace operator is defined as
[TABLE]
up to some normalization constant. The term p.v. stands for principal value.
It is easy to see that this operator is bounded between the fractional order Sobolev space and its dual . Moreover, for any , defines a distribution as
[TABLE]
for every . In fact this equality holds for any . See next section for precise definitions of the Sobolev spaces .
Another elementary fact is that given (or more generaly ) and a bounded open set there exists a unique that verifies
[TABLE]
where the equality is understood in the sense of distributions.
We denote this function by .
The question that we address in this paper is then the following. Assume that we have a sequence of domains such that in a suitable defined notion of convergence of sets. Is it then true that in some sense? Or more generally, give necessary and/or sufficient conditions for the above statement to hold true.
When the laplacian is replaced by the classical laplace operator (recall that for this operator becomes the classical Laplace operator), this problem was studied in [19]. In that article, the author gives aditional conditions in terms of the capacity of the symmetric differences of the domains in order to obtain a positive answer, and the famous counterexample of Cioranescu and Murat [2] says that one cannot expect a positive answer without any further assumptions.
In the fractional setting, recently [2] extended the counterexample of Cioranescu-Murat to the laplacian so, as in the classical setting, one cannot expect a positive answer in full generality.
Therefore, our purpose in this work is to find some capacitary conditions on the symmetric diference in order to have convergence of the solutions .
Organization of the paper
After this introduction, in section 2 we revise the definitions and results on fractional order Sobolev spaces and on fractional capacities that are needed in the paper. Then, in section 3, we prove our main result (Theorem 3.6).
2. Preliminaries
Let be an open, connected set. For , we consider the fractional order Sobolev space defined as follows
[TABLE]
endowed with the natural norm
[TABLE]
The term
[TABLE]
is called the Gagliardo seminorm of . We refer the interested reader to [5] for a throughout introduction to these spaces.
When , we omit it in the notation, i.e.
[TABLE]
In order to consider Dirichlet boundary conditions, it is customary to define the spaces
[TABLE]
Let us observe that is a closed subset of . Therefore it has the same properties as a functional space. That is, \Big{(}W_{0}^{s,p}(\Omega),\|\cdot\|_{s,p}\Big{)} is a separable, uniformly convex and reflexive Banach space.
An alternative definition for is to consider the closure of in with respect to the norm . If is Lipschitz, both definitions are known to coincide (see [5]).
2.1. Elementary properties
We will now present some well-known properties of the norm that will be useful for our results. We state the results without proof for future references.
Proposition 2.1** (Poincaré Inequality).**
Let be an open set of finite measure. Then, there exists a positive constant such that
[TABLE]
Corollary 2.2**.**
Let be an open set of finite measure. Then, and define equivalent norms in .
We will now define a notion of convergence of domains that will be essential for our next results.
Definition 2.3** (Hausdorff complementary topology.).**
Let be compact. Given compact sets, we define de Hausdorff distance as
[TABLE]
Now, let be open sets, we define the Hausdorff complementary distance as
[TABLE]
Finally, we say that converges to in the sense of the Hausdorff complementary topology, denoted by , if .
We will use the notation
[TABLE]
and therefore this space has a natural structure of a metric space with metric .
Remark 2.4*.*
Is a well known fact that the space is a compact metric space when is compact.
For the proof of the following proposition, we refer to the book [11].
Proposition 2.5**.**
If , then for every there is an integer such that for .
2.2. Fractional Capacity
In this subsection, we recall some definitions of the capacity and relative capacity that can be found, for instance, in [20].
For a detailed analysis of the capacity, we refer to the above mentioned article [20].
We start with the definition of the capacity and the relative fractional capacity.
Definition 2.6**.**
Let be an arbitrary set. We define the fractional capacity of the set as
[TABLE]
Given an open and bounded set and , we can define the capacity of the set relative to the set as follows.
Definition 2.7**.**
[TABLE]
Remark 2.8*.*
It is an immediate consequence of the above definitions that .
Now, when we deal with pointwise properties of Sobolev functions we must change the concept of almost everywhere for quasi everywhere. The following definition expresses such idea.
Definition 2.9**.**
We say that an property is valid quasi everywhere if it is valid except in a set of null capacity. We note this fact writing q.e.
Definition 2.10**.**
Let be an open and bounded set, we say that is quasi open if there is a decreasing sequence of open sets such that and is an open set for each .
Definition 2.11**.**
A function is called an quasi continuous function if for every , there is an open set such that and is continuous.
The next results, which proofs can be found in [20] will be needed in the course of the proof of the main result of this paper.
Theorem 2.12** (Theorem 3.7 in [20]).**
For each there exists a quasicontinuous function such that a.e. in .
Remark 2.13*.*
It is easy to see that two quasicontinuous representatives of a given function can only differ in a set of zero capacity. Therefore, the unique quasicontinuous representative (defined q.e.) of will be denoted by .
Proposition 2.14** (Lemma 3.8 in [20]).**
Let . and let be such that in for some . Then there is a subsequence such that q.e.
Theorem 2.15** (Theorem 4.5 in [20]).**
Let be an open set and an open subset. Then,
[TABLE]
3. Continuity of the problems with respect to variable domains
Throughout this section we consider to be fixed.
Let be a bounded, open set and let be an open set. The Dirichlet problem for the laplacian consists of finding such that
[TABLE]
where .
In its weak formulation, this problem consists of finding such that
[TABLE]
That is, for every , the following equality holds
[TABLE]
Lemma 3.1**.**
Let and . Then there exists a unique , which we will denote , solution of (3.1).
Proof.
It is enough to consider defined by and observe that is solution of (3.1) if and only if is a minimizer for . Since has a unique minimizer (observe that is strictly convex), this completes the proof. ∎
Now we observe that these solutions are bounded independently of .
Lemma 3.2**.**
There is a constant such that for every .
Proof.
Let us observe that
[TABLE]
Combining this inequality with Theorem 2.1, there exists a constant such that
[TABLE]
from where the conclusion of the lemma follows. ∎
As an immediate corollary, we have the following result.
Corollary 3.3**.**
Let . Then, is bounded in and, therefore, there exists and a subsequence such that weakly in .
The next result is a first step in proving the continuity result.
Theorem 3.4**.**
Let and be such that . Assume that weakly in for some when . Then
[TABLE]
in the sense of distributions. That is
[TABLE]
for every .
Proof.
We denote , and also denote
[TABLE]
Then, and
[TABLE]
Therefore, from Lemma 3.2, we get that is bounded in . So, up to some subsequence, there exists a function such that
[TABLE]
Therefore,
[TABLE]
for all . In particular, (3.3) holds for every . Moreover, by the compactness of the immersion (see [5]), since weakly in we can conclude that a.e. in , then
[TABLE]
a.e. in , from where it follows that
[TABLE]
Finally, observe that if then for every sufficiently large (Proposition 2.5). Therefore, from (3.3) we conclude that
[TABLE]
The proof is then completed by combining this last equality with (3.4). ∎
Remark 3.5*.*
In order to show that , what remains is to show that on . This is the hard part and is where some geometric hypotheses on the nature of the convergence of the domains needs to be made.
Theorem 3.6**.**
Assume that the hypotheses of Theorem 3.4 are satisfied. If, in addition,
[TABLE]
then weakly in .
Proof.
As before, we denote . By Corollary 3.3, is bounded in and therefore we can assume that weakly in .
By Theorem 3.4 the proof will be finished if we can prove that , and by Theorem 2.15, it is enough to prove that q.e. in .
Consider and .
Since in , by Mazur’s Lemma (see for instance [7]), there is a sequence such that , and strongly in .
Since , by Theorem 2.15, q.e. in . Therefore, q.e. in for every .
Then, q.e. in for every and, since , we conclude that q.e. for every .
On the other hand, since strongly in , by Proposition 2.14, q.e. Then we conclude that q.e. in .
In order to finish the proof of the theorem, we show that the capacitary condition (3.5) implies that up to some set of zero capacity.
In fact, since , passing to a subsequence, if necessary, we can assume that . Therefore,
[TABLE]
Recall now that for every , then we have that
[TABLE]
Taking the limit , we have that and the proof is finished. ∎
As a simple corollary, we can show that the convergence of the solutions in Theorem 3.6 is actually strong.
Corollary 3.7**.**
Under the assumptions of Theorem 3.6 we have that strongly in .
Proof.
The proof is simple. Just observe that from the weak convergence given by Theorem 3.6, we get
[TABLE]
Since is a uniformly convex Banach space, the result follows. ∎
Acknowledgements
This paper was partially supported by grants UBACyT 20020130100283BA, CONICET PIP 11220150100032CO and ANPCyT PICT 2012-0153.
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