On the behavior of least energy solutions of a fractional $(p,q(p))$-Laplacian problem as p goes to infinity
Grey Ercole, Aldo H. S. Medeiros, Gilberto A. Pereira

TL;DR
This paper investigates the asymptotic behavior of positive least energy solutions to a fractional $(p,q(p))$-Laplacian problem as p approaches infinity, revealing how solutions concentrate and depend on the domain's geometry.
Contribution
It provides a detailed analysis of the limit behavior of solutions to a fractional $(p,q(p))$-Laplacian problem as p tends to infinity, including the influence of parameters and domain geometry.
Findings
Solutions concentrate at a point in the domain as p increases.
The limit solutions are characterized by a variational problem involving the domain's inradius.
The asymptotic behavior depends on the ratio of q(p) to p and the parameters Ξ±, Ξ².
Abstract
We study the behavior as of a positive least energy solution of the problem \[ \left\{\begin{array} [c]{lll} \left[ \left( -\Delta_{p}\right) ^{\alpha}+\left( -\Delta_{q(p)}\right) ^{\beta}\right] u=\mu_{p}\left\Vert u\right\Vert _{\infty}^{p-2} u(x_{u})\delta_{x_{u}} & \mathrm{in} & \Omega\\ u=0 & \mathrm{in} & \mathbb{R}^{N}\setminus\Omega\\ \left\vert u(x_{u})\right\vert =\left\Vert u\right\Vert _{\infty}, & & \end{array} \right. \] where is a bounded, smooth domain, is the Dirac delta distribution supported at \[ \lim_{p\rightarrow\infty}\frac{q(p)}{p}=Q\in\left\{ \begin{array} [c]{lll} (0,1) & \mathrm{if} & 0<\beta<\alpha<1\\ (1,\infty) & \mathrm{if} & 0<\alpha<\beta<1 \end{array} \right. \] and \[ \lim_{p\rightarrow\infty}\sqrt[p]{\mu_{p}}>R^{-\alpha}, \] with denoting the inradius ofβ¦
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On the behavior of least energy solutions of a fractional -Laplacian
problem as p goes to infinity
Grey Ercole, Aldo H. S. MedeirosβΒ and Gilberto A. Pereira
a Universidade Federal de Minas Gerais, Belo Horizonte, MG, 30.123-970, Brazil.
b Universidade Federal de Ouro Preto, Ouro Preto, MG, 35.400-000, Brazil.
E-mails: [email protected] , [email protected] and [email protected] Corresponding author
Abstract
We study the behavior as Β of a positive least energy solution of the problem
[TABLE]
where is a bounded, smooth domain, is the Dirac delta distribution supported at
[TABLE]
and
[TABLE]
with denoting the inradius of
Keywords:Β Asymptotic behavior, Dirac delta distribution, fractional Sobolev spaces, viscosity solutions.
2010 AMS Classification. 35D40, 35R11, 35J60.
1 Introduction
Let be a bounded, smooth domain of and consider the Sobolev space of fractional order and exponent
[TABLE]
where
[TABLE]
is the Gagliardo seminorm.
As it is well known, is a uniformly convex Banach space (also characterized as the closure of with respect to ), compactly embedded into whenever
[TABLE]
Moreover,
[TABLE]
(The notation means that the continuous embedding is compact.) It follows that infimum
[TABLE]
is positive and, in fact, a minimum.
The compactness in (1) is consequence of the following Morreyβs type inequality (see [11])
[TABLE]
which holds whenever If is sufficiently large, the positive constant in (2) can be chosen uniform with respect to (see [14, Remark 2.2]).
Let be the -fractional -Laplacian, the operator acting from into its topological dual, defined by
[TABLE]
We recall that is the GΓ’teaux derivative at a function of the FrΓ©chet differentiable functional
An alternative pointwise expression for is
[TABLE]
As argued in [16], this expression appears formally as follows
[TABLE]
In Section 2, we consider the nonhomogeneous problem
[TABLE]
where and satisfy suitable conditions, is a point where attains its sup norm (), and is the Dirac delta distribution supported at
Proceeding as in [1] and [12], one can arrive at (4) as the limit case, as of the problem
[TABLE]
where denotes the standard norm in the Lebesgue space
As usual, we interpret (4) as an identity between functionals applied to the (weak) solution Thus,
[TABLE]
where is an appropriate Sobolev space (that will be derived in the sequence). The functional at the left-hand side of (5) is the GΓ’teaux derivative of the FrΓ©chet differentiable functional at However, the functional at the right-hand side is merely related to the right-sided GΓ’teaux derivative of the functional whenever assumes its sup norm at a unique point . This has to do with the following fact (see Lemma 2.5 and Remark 2.6): if assumes its sup norm only at then
[TABLE]
Therefore, we define the formal energy functional associated with (4) by
[TABLE]
and formulate our hypotheses on and to guarantee the well-definiteness of this functional. For this, we take into account (1) and the following known facts:
- β’
for any (see [18, Theorem 1.1]),
- β’
whenever (see [3, Lemma 2.6]).
Thus, we assume that and satisfy one of the following conditions:
[TABLE]
or
[TABLE]
The assumption (6) provides the chain of embeddings whereas (7) yields Therefore, the Sobolev space
[TABLE]
is the natural domain for the energy functional Note that
[TABLE]
Once we have chosen a weak solution of (4) is defined (see Definition 2.2) by means of (5).
As for the parameter we assume that
[TABLE]
where
[TABLE]
for some function The existence of is a consequence of the compact embedding of into that holds in both cases (6) and (7).
It turns out that (8) is also a necessary condition for the existence of weak solutions (see Remark 2.3).
Assuming the above conditions on and we show the existence of at least one positive weak solution that minimizes the energy functional either on when (6) holds, or on the following Nehari-type set
[TABLE]
when (7) holds. Both type of minimizers are referred in this work as least energy solutions of (4). The reason behind the appearance of the Dirac delta is that the set where a minimizer of attains its sup norm is a singleton (as we will show).
We conclude Section 2 by observing that the weak solutions of (4) are also viscosity solutions of
[TABLE]
and use this fact to argue that nonnegative least energy solutions are strictly positive in
In Section 3, we fix the fractional orders and (with ), allow and to depend suitably on ( and ) and denote by the positive least energy solution of the problem
[TABLE]
In the sequence we determine the asymptotic behavior of the pair as goes to
Our main results are stated in Theorem 1.1 below, where, for each
[TABLE]
with denoting the -HΓΆlder seminorm, defined by
[TABLE]
Theorem 1.1
Assume that
[TABLE]
and
[TABLE]
where is the inradius of (i.e. the radius of the largest ball inscribed in ).
Let There exist and such that, up to a subsequence, and uniformly in Moreover:
- (i)
2. (ii)
3. (iii)
4. (iv)
5. (v)
6. (vi)
is a viscosity solution of
[TABLE]
In the above equation the operators are defined according to the following notation, where :
[TABLE]
There are a substantial amount of papers in the recent literature dealing with the asymptotic behavior of solutions as a parameter goes to infinity in problems that involve a combination of first order, local operators and nonlinearities of different homogeneity degrees (see [1], [4], [6], [7], [8], [10], [12], [17]). In [1], Alves, Ercole and Pereira determined the asymptotic behavior, as of the following problem of order
[TABLE]
Their work motived us to formulate an adequate fractional version of (13) and study, in the present paper, the behavior of the corresponding least energy solutions as goes to infinity.
As for fractional operators, there are few works focusing such type of asymptotic behavior. Most of recent ones deal with the problem of determining the limit equation satisfied, in the viscosity sense, by the limit functions (as ) of a family of minimizers. In general, such limit equation combines the operators and their sum
[TABLE]
We refer to this latter operator as -HΓΆlder infinity Laplacian, accordingly [5], where it was introduced. In that paper, Chambolle, Lindgren and Monneau studied the problem of minimizing the functional
[TABLE]
on the set
[TABLE]
where is given. After showing the existence of a unique minimizer for this problem (assuming ), they proved that, up to a subsequence, uniformly and that this limit function is a viscosity solution of
[TABLE]
They also showed that is an optimal HΓΆlder extension of in
In [16], Lindqvist and Lindgren characterized the asymptotic behavior (as ) of the only positive, normalized first eigenfunction of in That is, in and where
[TABLE]
is the the first eigenvalue of Among several results, they proved that
[TABLE]
and that any limit function of the family is a positive viscosity solution of the problem
[TABLE]
In [14], Ferreira and PΓ©rez-Llanos studied the asypmtotic behavior, as of the solutions of the problem
[TABLE]
for the cases and with (that is, the exponent of the nonlinearity goes to infinity "sublinearly"). In the first case, they obtained different limit equations involving the operators and according to the sign of the function In the second case, they established the limit equation
[TABLE]
Such results in that paper are compatible with the ones obtained for the local operator in [2] for the first case and in [7] for the second case.
Recently, in [9], Rossi and Silva studied the problem of minimizing the Gagliardo seminorm among the functions satisfying the constraints
[TABLE]
where the function in and the constant are given, and denotes the -dimensional Lebesgue volume of the subset
They proved that, up to subsequences, the family of minimizers converges uniformly to a function as that solves the equation
[TABLE]
in the viscosity sense and also minimizes the -HΓΆlder seminorm among the functions in satisfying (15). Further, they showed the convergence of the respective extremal values, that is:
More recently, in [13], Ercole, Pereira and Sanchis studied the asymptotic behavior of the positive solution of the minimizing problem
[TABLE]
where is a positive weight satisfying After showing that is the positive (weak) solution of the singular problem
[TABLE]
they proved that, up to subsequence, converges uniformly to a function and Moreover, the limit function is a positive viscosity solution of
[TABLE]
satisfying
[TABLE]
where
Our approach in this paper is inspired by the arguments and techniques developed in some of the works above mentioned and can be applied to the fractional version of [12] and also for studying a fractional version for the system considered in [17].
2 Existence of a positive least energy solution
In this section, we assume that satisfy (8) and that and are related by one of the conditions (6) or (7). Our goal is to prove the existence of at least one positive least energy solution for the problem (4).
Remark 2.1
We recall that for all since
[TABLE]
Definition 2.2
We say that a function is a weak solution of (4) if and
[TABLE]
Remark 2.3
If is a weak solution of (4), then (by taking )
[TABLE]
If, in addition, the definition of yields
[TABLE]
This shows that (8) is a necessary condition for the existence of a nontrivial weak solution.
Proposition 2.4
Suppose that and satisfy (6). There exists at least one nonnegative function such that
[TABLE]
Proof. Let
[TABLE]
Since we have
[TABLE]
where is given by
[TABLE]
Noting that and
[TABLE]
we conclude that is coercive and bounded from below. Hence, by standards arguments of the Calculus of Variations (recall that ) we can show that the functional assumes the global minimum value at a function
Now, in order to verify that we show that for some Let be such that
[TABLE]
By density and compactness, there exists a sequence such that and Therefore, there exists such that
[TABLE]
Since we have
[TABLE]
for some sufficiently small. Thus, is such that
According to Remark 2.1, Therefore, we can assume in
In the sequence we show that under (6) any minimizer of the energy functional is a weak solution of (4). For this we need the following result proved in [15].
Lemma 2.5
Let and Then,
[TABLE]
Remark 2.6
According to the notation of the Lemma 2.5, if
[TABLE]
for some then
[TABLE]
Of course this implies that is a singleton, say and therefore Lemma 2.5 yields
[TABLE]
Proposition 2.7
Suppose that and satisfy (6). If satisfies
[TABLE]
then is a weak solution of (4).
Proof. Let and By hypothesis,
[TABLE]
where
[TABLE]
and
[TABLE]
As we already know (from the Introduction)
[TABLE]
According to Lemma 2.5
[TABLE]
Consequently,
[TABLE]
Now, repeating the above arguments with replaced with we also conclude that
[TABLE]
It follows that (see Remark 2.6) and
[TABLE]
Now, let us analyze under the hypothesis (7). First we observe that is unbounded from below in In fact, this follows from the identity (where is given in (9))
[TABLE]
Thus, as usual, we look for a minimizer of restricted to Nehari-type set given by (10).
Taking (7) into account, the following properties for a function can be easily verified
[TABLE]
and
[TABLE]
The latter property shows that since
[TABLE]
Moreover, combining (16) and (18) we obtain,
[TABLE]
for an arbitrary Consequently,
[TABLE]
and
[TABLE]
Another property is that
[TABLE]
which also follows from (16), since
[TABLE]
Proposition 2.8
Suppose that and satisfy (7). There exists at least one nonnegative function such that
[TABLE]
Proof. Let be a minimizing sequence:
[TABLE]
Taking (20) into account and using compactness arguments, we can assume that converges to a function uniformly in and weakly in both Sobolev spaces and Of course, since
[TABLE]
Hence,
[TABLE]
thus implying that where
[TABLE]
Consequently,
[TABLE]
that is, and
Remark 2.1 and (19) show that and Thus, we can assume that in
Proposition 2.9
Suppose that and satisfy (7). If is such that
[TABLE]
then is a weak solution of (4).
Proof. Let be fixed. Since we have Thus, by continuity there exists such that
[TABLE]
It follows that
[TABLE]
where
[TABLE]
Therefore, the function
[TABLE]
assumes a minimum value at This implies that
[TABLE]
Using Lemma 2.5 and observing that and we compute
[TABLE]
Hence, (21) yields,
[TABLE]
Replacing with we obtain
[TABLE]
Hence, according to Remark 2.6, and
[TABLE]
We gather the results above in the following theorem.
Theorem 2.10
Suppose that and satisfy either (6) or (7), and that satisfies (8). Then (4) has at least one nonnegative least energy solution
We remark that given by Theorem 2.10 is a nonnegative weak solution of the fractional harmonic-type equation
[TABLE]
in the punctured domain since
[TABLE]
Consequently, if and (see Remark 2.11) one can adapt the arguments developed in [14, Lemma 3.9] and [16, Proposition 11] to verify that is also a viscosity solution of
[TABLE]
(recall the definition of in (3)). This means that is both a supersolution and a subsolution of (24), that is, meets the (respective) requirements:
- β’
for every pair satisfying
[TABLE]
- β’
for every pair satisfying
[TABLE]
Remark 2.11
As observed in [16], if is a bounded domain of and then the function given by (3) is well defined and continuous at each point Obviously, the same holds for where is an arbitrary constant and since
[TABLE]
Moreover, it is simple to check that fulfills both requirements above even for test functions of the form
It is interesting to notice that in as consequence of being a supersolution of (24). The argument comes from [16, Lemma 12]: by supposing that for some and noting that we can find a nonnegative and nontrivial test function satisfying
[TABLE]
Hence,
[TABLE]
which leads to the contradiction
3 Asymptotic behavior as p goes to infinity
Let be a bounded smooth (at least Lipschitz) domain of We recall that is a Banach space, but
[TABLE]
That is, is not -dense in
However, we have the following lemma that follows from [13, Lemma 9].
Lemma 3.1
Let There exists a sequence such that
[TABLE]
Now, returning to our bounded domain let
[TABLE]
It is the inradius of : the radius of the largest ball inscribed in
Let be a ball centered at with radius and let be the distance function to the boundary that is,
[TABLE]
It is simple to verify that for every with
[TABLE]
Moreover, it is clear that extended by zero outside belongs to and its -HΓΆlder seminorm is preserved. In particular, such an extension is a Lipschitz function vanishing outside Hence,
[TABLE]
(Note that we are considering at least a Lipschitz domain.) Consequently, we can apply [13, Lemma 7] to conclude that
[TABLE]
The proof of the following proposition is adapted from [16] where (14) is proved.
Proposition 3.2
For each one has
[TABLE]
Proof. The second equality in (27) follows from (25). Since to prove the third equality in (27) it suffices to verify that
[TABLE]
Let According to Lemma 3.1, there exists a sequence such that
[TABLE]
Hence, (14) yields
[TABLE]
concluding the proof of the third equality in (27)
Now, let us prove that
[TABLE]
First, observing that
[TABLE]
we obtain from (25) and (26) that
[TABLE]
To prove that
[TABLE]
we fix and take, for each sufficiently large, such that and
[TABLE]
According to (2), we have
[TABLE]
The estimate (29) implies that is uniformly bounded in the HΓΆlder space which is compactly embedded in It follows that, up to a subsequence, converges uniformly in to a function such that
For each we have, by HΓΆlderβs inequality,
[TABLE]
Making , using the uniform convergence, Fatouβs Lemma and the above estimate we obtain
[TABLE]
Therefore,
[TABLE]
Since (according to (28)) we obtain (30).
In the remaining of this section we fix with and consider a continuous function of satisfying
[TABLE]
We maintain the notation instead of to simplify the presentation. Note that (31) implies that
[TABLE]
Moreover, if and if
Our goal is to study the asymptotic behavior, as of the least energy solution of the problem
[TABLE]
where satisfies
[TABLE]
with denoting the inradius of
This condition guarantees that
[TABLE]
for all sufficiently large, say . Moreover, by taking a larger one of the conditions (6) or (7) is fulfilled. So, according to Theorem 2.10, for each the problem (32)Β has at least one positive least energy solution
[TABLE]
Remark 3.3
Combining (26) and (33) we have
[TABLE]
Consequently, for all large enough.
Proposition 3.4
Suppose (31) and (33) hold. Then,
[TABLE]
Proof. We assume that is large enough so that exists according to Theorem 2.10.
Since is a weak solution of (32) and is continuously embedded into we have
[TABLE]
so that
[TABLE]
Hence, taking into account the first equality in (27) and (33) we easily check that the second limit in (35) is consequence of the first one.
Let us then prove the first limit (35).
We start with the case where necessarily (and ). After isolating in (36) we obtain
[TABLE]
Let
[TABLE]
(Note from Remark 3.3 that is well-defined). It is simple to verify that
[TABLE]
Noticing that
[TABLE]
we obtain
[TABLE]
where
[TABLE]
Since
[TABLE]
we can verify that
[TABLE]
Hence,
[TABLE]
Combining this with (37) we obtain the first limit in (35).
Now, let us analyze the case where necessarily (and ). In this case,
[TABLE]
where
[TABLE]
(which is also well-defined according to Remark 3.3). It follows that
[TABLE]
where is also given by (38). Consequently,
[TABLE]
After isolating in (36) we obtain
[TABLE]
which combined with (39) provides the first limit in (35).
Corollary 3.5
Suppose (31) and (33) hold. Then,
[TABLE]
Proof. It follows from the second limit in (35) combined with the estimates
[TABLE]
In the next proposition we prove that the limit functions of the family as belongs to and minimize the quotient in
Proposition 3.6
Let and satisfying (31), with and let satisfying (33). Then, there exist and such that, up to subsequences, uniformly in and with
[TABLE]
Moreover,
[TABLE]
and
[TABLE]
Proof. Since is bounded, we can assume that (passing to a subsequence) converges to a point Fix m_{0}>N/\beta\and assume that is large enough so that
Taking into account the inequality (2), we have (as in Proposition 3.2)
[TABLE]
The first limit in (35) implies that is uniformly bounded in the HΓΆlder space which is compactly embedded in It follows that, up to a subsequence, converges uniformly in to a function Of course, and, by virtue of the second limit in (35),
[TABLE]
so that
Now, if and is sufficiently large such that , HΓΆlderβs inequality yields
[TABLE]
Hence, combining the first limit in (35) and Fatouβs Lemma,
[TABLE]
Therefore,
[TABLE]
It follows that Hence, observing that
[TABLE]
we obtain
[TABLE]
Therefore,
[TABLE]
and
[TABLE]
Remark 3.7
Considering Corollary 3.5 we can reproduce the proof of Proposition 3.6 to conclude that, in the case the limit function is more regular: and, moreover,
[TABLE]
These estimates are also valid in the complementary case where obviously the -regularity is better that -regularity since
Corollary 3.8
One has
[TABLE]
and, therefore, the maximum point of is also a maximum point of the distance function to the boundary
Proof. For each let be such
[TABLE]
Then, since and we get
[TABLE]
Hence, observing that and we obtain
[TABLE]
so that
[TABLE]
In the sequel, we argue that the function is a viscosity solution of the equation
[TABLE]
in (the operators and are defined in (12)). This means that is both a supersolution and a subsolution of (41) or, equivalently, meets the (respective) requirements:
- β’
for every the pair satisfying
[TABLE]
- β’
for every the pair satisfying
[TABLE]
A proof of the following result (where ), adapted from [5, Lemma 6.5], can be found in [14, Lemma 6.1].
Lemma 3.9
If then,
[TABLE]
where
[TABLE]
and
[TABLE]
Proposition 3.10
The function is a viscosity solution of (41) in the punctured domain Moreover, in
Proof. We give a sketch of the proof based on [14] and [16].
In order to verify that is a supersolution of (41) in we fix a pair satisfying
[TABLE]
Since we can assume that there exist and a ball centered at and with radius such that
[TABLE]
Hence,
[TABLE]
in the viscosity sense.
By standard arguments, we can construct a sequence such that and
[TABLE]
It follows that the function satisfies
[TABLE]
Consequently, (see Remark 2.11)
[TABLE]
The inequality can be write as
[TABLE]
where and
We have
[TABLE]
where the latter equality follows from Lemma 3.9. Analogously, we compute
[TABLE]
Therefore, (43) yields
[TABLE]
which shows that is a viscosity supersolution of (41) in
Similarly, by symmetric arguments, we can prove that is a viscosity subsolution of (41) in
The positivity of in comes from the fact that u_{\infty}\is a supersolution of (41). Indeed, adapting the argument of [16, Lemma 22], if then either
[TABLE]
for a nonnegative, nontrivial satisfying
[TABLE]
In the first case, this yields
[TABLE]
and leads to the contradiction Obviously, in the second case we arrive at the same contradiction.
Proof of Theorem 1.1. It follows by gathering Proposition 3.6, Corollary 3.8 and Proposition 3.10.
4 Acknowledgements
G. Ercole was partially supported by CNPq/Brazil (306815/2017-6 and 422806/2018-8) and Fapemig/Brazil (CEX-PPM-00137-18).
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