Boundary singularities of solutions to semilinear fractional equations
Phuoc-Tai Nguyen (1), Laurent Veron (2), Laurent Eron ((1) PUC, (2), LMPT)

TL;DR
This paper investigates boundary singularities and solutions to semilinear fractional equations, establishing existence results for solutions with prescribed boundary measures and analyzing critical exponents for specific nonlinearities.
Contribution
It introduces new existence results for solutions with boundary measure data and characterizes critical exponents for power nonlinearities in fractional equations.
Findings
Existence of solutions with prescribed boundary Radon measures.
Identification of critical exponents for power nonlinearities.
Analysis of boundary trace for positive moderate solutions.
Abstract
We prove the existence of a solution of (--) s u + f (u) = 0 in a smooth bounded domain with a prescribed boundary value in the class of positive Radon measures for a large class of continuous functions f satisfying a weak singularity condition expressed under an integral form. We study the existence of a boundary trace for positive moderate solutions. In the particular case where f (u) = u p and is a Dirac mass, we prove the existence of several critical exponents p.
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Taxonomy
TopicsNonlinear Partial Differential Equations · Nonlinear Differential Equations Analysis · Numerical methods in inverse problems
Boundary singularities of solutions to semilinear fractional equations
Phuoc-Tai Nguyen
Department of Mathematics and Statistics, Masaryk University, Brno, Czech Republic
[email protected]; [email protected]
and
Laurent Véron
Laboratoire de Mathématiques et Physique Théorique
Université François Rabelais, Tours, France
Abstract.
We prove the existence of a solution of in a smooth bounded domain with a prescribed boundary value in the class of Radon measures for a large class of continuous functions satisfying a weak singularity condition expressed under an integral form. We study the existence of a boundary trace for positive moderate solutions. In the particular case where and is a Dirac mass, we show the existence of several critical exponents . We also demonstrate the existence of several types of separable solutions of the equation in .
2010 Mathematics Subject Classification. 35J66, 35J67, 35R06, 35R11.
Key words: -harmonic functions, semilinear fractional equations, boundary trace.
Contents
1. Introduction
Let be a bounded domain with boundary and . Define the -fractional Laplacian as
[TABLE]
where
[TABLE]
We denote by and the Green kernel and the Martin kernel of in respectively. Denote by and the Green operator and the Martin operator (see section 2 for more details). Further, for , denote by the space of Radon measures on satisfying and by the space of bounded Radon measures on . Let be the distance from to . For , set
[TABLE]
Definition 1.1**.**
We say that a function possesses a -boundary trace on if there exists a measure such that
[TABLE]
The -boundary trace of is denoted by .
Let , and be a nondecreasing function with . In this paper, we study boundary singularity problem for semilinear fractional equation of the form
[TABLE]
We denote by the space of test functions satisfying
(i) ,
(ii) exists for all and for some ,
(iii) there exists and such that a.e. in , for all .
Definition 1.2**.**
Let and . A function is called a weak solution of (1.2) if , and
[TABLE]
The boundary value problem with measure data for semilinear elliptic equations
[TABLE]
was first studied by A. Gmira and L. Véron in [18] and then the typical model, i.e. problem (1.4) with (), has been intensively investigated by numerous authours (see [22, 23, 24, 25, 26] and references therein). They proved that if is a continuous, nondecreasing function satisfying
[TABLE]
where , then problem (1.4) admits a unique weak solution. In particular, when with and with and , there exists a unique solution of (1.4). It was showed [22, 26] that the sequence is increasing and converges to a function which is a solution of the equation in (1.4).
To our knowledge, few papers concerning boundary singularity problem for nonlinear fractional elliptic equation have been published in the literature. The earliest works in this direction are the papers [17, 10] by P. Felmer et al. which deal with the existence, nonexistence and asymptotic behavior of large solutions for equations involving fractional Laplacian. Afterwards, N. Abatangelo [1] presented a suitable setting for the study of fractional Laplacian equations in a measure framework and provided a fairly comprehensive description of large solutions which improve the results in [17, 10]. Recently, H. Chen et al. [9] investigated semilinear elliptic equations involving measures concentrated on the boundary by employing approximate method.
In the present paper, we aim to establish the existence and uniqueness of weak solutions of (1.2). To this end, we develop a theory for linear equations associated to (1.2)
[TABLE]
Existence and uniqueness result for (1.6) is stated in the following proposition.
Proposition A. Assume . Let and . Then problem (1.6) admits a unique weak solution. The solution is given by
[TABLE]
Moreover, there exists a positive constant such that
[TABLE]
This proposition allows to study semilinear equation (1.2). We first deal with the case of data.
Theorem B. Assume . Let be a nondecreasing function satisfying for every .
I. Existence and uniqueness. For every and , problem (1.2) admits a unique weak solution . Moreover,
[TABLE]
[TABLE]
II. Monotonicity. The mapping is nondecreasing.
Remark. The restriction is due to the fact that in this range of , for every (see Proposition 2.11). We conjecture that this still holds if .
We reveal that, in measures framework, because of the interplay between the nonlocal operator and the nonlinearity term , the analysis is much more intricate and there are 3 critical exponents
[TABLE]
This yields substantial new difficulties and leads to disclose new types of results. The new aspects are both on the technical side and on the one of the new phenomena observed.
Theorem C. Assume . Let be a nondecreasing function, for every and
[TABLE]
I. Existence and Uniqueness. For every and there exists a unique weak solution of (1.2). This solution satisfies (1.9) and (1.10). Moreover, the mapping is nondecreasing.
II. Stability. *Assume converges weakly to and converges weakly to . Let and be the unique weak solutions of (1.2) with data and respectively. Then in and in . *
If is a Dirac mass concentrated at a point on , we obtain the behavior of the solution near that boundary point.
Theorem D. Under the assumption of Theorem C, let , and be the unique weak solution of
[TABLE]
Then
[TABLE]
We next assume that . Let and denote by the unique weak solution of
[TABLE]
By Theorem C, and is increasing. Therefore, it is natural to investigate . This is accomplishable thanks to the study of separable solutions of
[TABLE]
with . Denote by
[TABLE]
the unit sphere in and by the upper hemisphere. Writing separable solution under the form , with and , we obtain that satisfies
[TABLE]
where is a nonlocal operator naturally associated to the -fractional Laplace-Beltrami operator and is a linear integral operator with kernel. In analyzing the spectral properties of we prove
Theorem E. Let , and .
I- If there exists no positive solution of (1.16) belonging to .
II- If there exists a unique positive solution of (1.16).
As a consequence of this result we obtain the behavior of when .
Theorem F Assume . Let or be a bounded domain with boundary containing [math].
I- If then is a positive solution of
[TABLE]
(i) If then
[TABLE]
(ii) If is a bounded domain with containing [math] then
[TABLE]
locally uniformly on . In particular, there exists a positive constant depending on , , and the norm of such that
[TABLE]
*II- Assume . Then in . *
The main ingredients of the present study: estimates on Green kernel and Martin kernel, theory for linear fractional equations in connection with the notion boundary trace as mentioned above, similarity transformation and the study of equation (1.16).
The paper is organized as follows. In Section 2, we present important properties of -boundary trace and prove Proposition A. Theorems B,C,D and F are obtained in Section 3. Finally, in Appendix, we discuss separable solutions of (1.15) and demonstrate Theorem E.
2. Linear problems
Throughout the present paper, we denote by positive constants that may vary from line to line. If necessary, the dependence of these constants will be made precise.
2.1. -harmonic functions
We first recall the definition of -harmonic functions (see [3, page 46], [4, page 230], [6, page 20]). Denote by the standard rotation invariant -stable Lévy process in (i.e. homogeneous with independent increments) with characteristic function
[TABLE]
Denote by the expectation with respect to the distribution of the process starting from . We assume that sample paths of are right-continuous and have left-hand limits a.s. The process is Markov with transition probabilities given by
[TABLE]
where is the one-dimensional distribution of with respect to . It is well known that is the generator of the process .
For each Borel set , set , i.e. is the first exit time from . If is bounded then a.s. Denote
[TABLE]
Definition 2.1**.**
Let be a Borel measurable function in . We say that is -harmonic in if for every bounded open set ,
[TABLE]
We say that is singular -harmonic in if is -harmonic and in .
Put
[TABLE]
The following result follows from [5, Corollary 3.10 and Theorem 3.12] and [6, page 20] (see also [20]).
Proposition 2.2**.**
Let .
(i)* is -harmonic in if and only if in in the sense of distributions.*
(ii)* is singular -harmonic in if and only if is -harmonic in and in .*
2.2. Green kernel, Poisson kernel and Martin kernel
In what follows the notation means: there exists a positive constant such that in the domain of the two functions or in a specified subset of this domain.
Denote by the Green kernel of in . Namely, for every ,
[TABLE]
where is the Dirac mass at . By combining [1, Lemma 3.2] and [14, Corollary 1.3]), we get
Proposition 2.3**.**
(i) is in continuous, symmetric, positive in and if or belongs to .
(ii) for every and for every and .
(iii) There holds
[TABLE]
The similarity constant in the above estimate depends only on and .
Denote by the associated Green operator
[TABLE]
Put
[TABLE]
H. Chen and L. Véron obtained the following estimate for Green operator [12, Proposition 2.3 and Proposition 2.6].
Lemma 2.4**.**
Assume and be as in (2.2).
(i)* There exists a constant such that*
[TABLE]
(ii)* Assume converges weakly to . Then in for any .*
Let be the Poisson kernel of defined by (see [7])
[TABLE]
The relation between and is expressed in [1, Proposition 2] (see also [14, Theorem 1.4], [4, Lemma 2], [14, Theorem 1.5]).
Proposition 2.5**.**
(i) for every and . Moreover, is continuous in .
(ii) There holds
[TABLE]
The similarity constant in the above estimate depends only on and .
Denote by the corresponding operator defined by
[TABLE]
Fix a reference point and denote by the Martin kernel of in , i.e.
[TABLE]
By [15, Theorem 3.6], the Martin boundary of can be identified with the Euclidean boundary . Denote by the associated Martin operator
[TABLE]
The next result [4, 15] is important in the study of -harmonic functions, which give a unique presentation of harmonic functions in terms of Martin kernel.
Proposition 2.6**.**
(i)* The mapping is continuous on . For any , the function is singular -harmonic in with . Moreover, if , then .*
(ii)* There holds*
[TABLE]
The similarity constant in the above estimate depends only on and .
(iii)* For every the function is singular -harmonic in with . Conversely, if is a nonnegative singular -harmonic function in then there exists a unique such that in .*
(iv)* If is a nonnegative -harmonic function in then there exists a unique such that*
[TABLE]
Lemma 2.7**.**
(i)* There exists a constant such that*
[TABLE]
(ii)* If converges weakly to then in for every .*
Proof.
(i) By using (2.5) and a similar argument as in the proof of [2, Theorem 2.5], we obtain (2.6).
(ii) By combining the fact that for every , and Proposition 2.6 (i) we deduce that for every , . It follows that everywhere in . Due to (i) and the Holder inequality, we deduce that, for any , is uniformly integrable with respect to . By invoking Vitali’s theorem, we obtain the convergence in .
2.3. Boundary trace
We recall that, for ,
[TABLE]
The following geometric property of domains can be found in [26].
Proposition 2.8**.**
There exists such that
(i) For every point , there exists a unique point such that . This implies .
(ii) The mappings and belong to and respectively. Furthermore, .
Proposition 2.9**.**
Assume . Then there exist positive constants such that, for every ,
[TABLE]
Proof.
For fixed, by (2.5),
[TABLE]
which implies
[TABLE]
Note that for fixed, the rate of convergence is independent of .
In order to prove (2.7) we may assume that the coordinates are placed so that and the tangent hyperplane to at [math] is with the axis pointing into the domain. For put . Pick sufficiently small (depending only on the characteristic of ) so that
[TABLE]
Hence if then . Combining this inequality and (2.5) leads to
[TABLE]
Therefore, for ,
[TABLE]
By combining estimates (2.8) and (2.10), we obtain the second estimate in (2.7). The first estimate in (2.7) follows from (2.5).
As a consequence, we get the following estimates.
Corollary 2.10**.**
Assume . For every and , there holds
[TABLE]
with is as in (2.7).
Proposition 2.11**.**
Assume . Then there exists a constant such that for any and any ,
[TABLE]
Moreover,
[TABLE]
Proof.
Without loss of generality, we may assume that . Denote . We first prove (2.12). By Fubini’s theorem and (2.5),
[TABLE]
Note that, if then . Therefore
[TABLE]
where the last inequality holds since . On the other hands, we have
[TABLE]
Combining the above estimates, we obtain (2.12).
Next we demonstrate (2.13). Given and put and . We can choose such that
[TABLE]
Thus the choice of depends on the rate at which tends to zero as .
Put . Then, for ,
[TABLE]
which yields
[TABLE]
On the other hand, due to (2.12),
[TABLE]
From (2.15) and (2.16), we obtain (2.13).
Lemma 2.12**.**
Assume . Let be two nonnegative functions satisfying
[TABLE]
If in then and there exists a measure such that
[TABLE]
Moreover, if then .
Proof.
By the assumption, there exists a nonnegative Radon measure on such that .
We first prove that . Define
[TABLE]
By [1, page 5547], there holds is a positive constant such that
[TABLE]
where the similarity constant depends only on and . This follows
[TABLE]
We define
[TABLE]
For any , denote by the restriction of to and by the restriction of on . By [1, Theorem 1.4], there exists a unique solution of
[TABLE]
Moreover, the solution can be written as
[TABLE]
By the maximum principle [1, Lemma 3.9], and a.e. in . This, together with (2.22), implies that in . Letting yields . For fixed , by (2.1), for every . Hence the finiteness of implies that .
We next show that there exists a measure such that (2.18) holds. Put then is a nonnegative singular -harmonic in due to the fact that in . By Proposition 2.2 and Proposition 2.6 (iii), there exists such that in . By Proposition 2.11, we obtain (2.18). If then and thus .
Definition 2.13**.**
A function possesses a -boundary trace on if there exists a measure such that
[TABLE]
The -boundary trace of is denoted noted by .
Remark. (i) The notation of -boundary trace is well defined. Indeed, suppose that and satisfy (2.23). Put . Clearly , in and . By Kato’s inequality [8, Theorem 1.2], in . Therefore, we deduce from Lemma 2.12. This implies . By permuting the role of and , we obtain . Thus .
(ii) It is clear that for every , . Moreover, if , by Proposition 2.11, for every , .
(iii) This kind of boundary trace was first introduced by P.-T. Nguyen and M. Marcus [21] in order to investigate semilinear elliptic equations with Hardy potential. In the present paper we prove that it is still an effective tools in the study of nonlocal fractional elliptic equations.
2.4. Weak solutions of linear problems
Definition 2.14**.**
Let and . A function is called a weak solution of (1.6) if and
[TABLE]
Proof of Proposition A. The uniqueness follows from [12, Proposition 2.4]. Let be as in (1.7). By [12],
[TABLE]
This implies (2.24) and therefore is the unique solution of (1.6). Since , by Proposition 2.11, . Finally, estimate (1.8) follows from Lemma 2.4 and Lemma 2.7.
3. Nonlinear problems
In this section, we study the nonlinear problem (1.2). The definition of weak solutions of (1.2) is given in Definition 1.2.
3.1. Subcritical absorption
Proof of Theorem B.
Monotonicity. Let , and and be the weak solutions of (1.2) with data and respectively. We will show that if and then in . Indeed, put , it is sufficient to prove that . Since (1.9) holds, it follows
[TABLE]
Similarly
[TABLE]
Therefore
[TABLE]
By Kato inequality, the assumption and the monotonicity of , we obtain
[TABLE]
Therefore
[TABLE]
Since , it follows that . By Lemma 2.12, and thus .
Existence.
Step 1: Assume that and .
Put and . Then is nondecreasing and for every and . Consider the problem
[TABLE]
By [11, Proposition 3.1] there exists a unique weak solution of (3.1). It means that , and
[TABLE]
Put then and . By (3.2) satisfies (1.3).
Step 2: Assume that and .
Let be a nondecreasing sequence converging to in and be a nondecreasing sequence converging to in . Then is nondecreasing and by Lemma 2.7 (ii) it converges to a.e. in and in for every . Let be the unique solution of (1.2) with and replaced by and respectively. By step 1 and the monotonicity of , we derive that and are nondecreasing. Moreover
[TABLE]
Let be the solution of
[TABLE]
then in for some . By choosing in (3.3), we get
[TABLE]
Hence and are uniformly bounded in and respectively. By the monotone convergence theorem, there exists such that in and in . By letting in (3.3), we deduce that satisfies (1.3), namely is a weak solution of (1.2).
The uniqueness follows from the monotonicity.
Step 3: Assume that and .
Let be a sequence such that and are nondecreasing and in . Let be a sequence such that and are nondecreasing and in . Let be the unique weak solution of (1.2) with data , then
[TABLE]
Let and be the unique weak solutions of (1.2) with data and respectively. Then
[TABLE]
Moreover, for any , and
[TABLE]
It follows that
[TABLE]
This, together with (3.7), implies
[TABLE]
Put . By (3.10), the sequence is uniformly bounded in . Hence by [12, Proposition 2.6], the sequence is relatively compact in for . Consequently, up to a subsequence, converges in and a.e. in to a function . On the other hand, by Lemma 2.7 ii), up to a subsequence, converges in for and a.e. in to . Due to (3.6), we deduce that converges a.e. in to . Since is continuous, converges a.e. in to .
By step 2, the sequences , , and are increasing and converge to in , in , in and in respectively. In light of (3.9) and the generalized dominated convergence theorem, we obtain that and converge to and in and respectively. By passing to the limit in (3.3), we derive that satisfies (1.3).
The uniqueness follows from the monotonicity.
Define
[TABLE]
This space is endowed with the norm
[TABLE]
We say that a sequence converges weakly to a measure if
[TABLE]
Proof of Theorem C.
Monotonicity. The monotonicity can be proved by using a similar argument as in the proof of Theorem B.
Existence. Let and such that weakly and weakly. Then there is a positive constant independent of such that
[TABLE]
Let , and as in the proof of Theorem B. Then
[TABLE]
This, together with (2.3), (2.6) and (3.11), implies that
[TABLE]
We have
[TABLE]
From this it follows
[TABLE]
We infer from (3.9) and the estimate that
[TABLE]
This implies that and are uniformly bounded in and respectively. By a similar argument as in step 3 of the proof of Theorem B, we deduce that, up to a subsequence, converges a.e. in to a function and converges a.e. in to . By Hölder inequality, we infer that is uniformly integrable in .
Next we prove that is uniformly integrable in . Define , . Then is nondecreasing in and for every . For and , set
[TABLE]
We take an arbitrary Borel set and estimate
[TABLE]
On one hand, we have
[TABLE]
From (3.13), we infer where is a positive constant independent of . Hence, for any ,
[TABLE]
By assumption (1.11), there exists a sequence such that and as . Taking in (3.18) and then letting , we obtain
[TABLE]
From assumption (1.11), we see that the right hand-side of (3.19) tends to [math] as . Therefore, for any , one can choose such that the right hand-side of (3.19) is smaller than . Fix such , one then can choose small such that if then . Therefore, from (3.17), we derive
[TABLE]
This means is uniformly integrable in .
By Vitali convergence theorem, we deduce that, up to a subsequence, in and in . Since satisfies (3.3), by passing to the limit, we deduce that is a weak solution of (1.2).
Stability. Assume converges weakly to and converges weakly to . Let and be the unique weak solution of (1.2) with data and respectively. Then by a similar argument as in Existence part, we deduce that in and in . .
Proposition 3.1**.**
Assume is a continuous nondecreasing function on satisfying and (1.11). Then for every ,
[TABLE]
Proof.
By (2.1),
[TABLE]
Hence
[TABLE]
Put
[TABLE]
[TABLE]
For every , , therefore
[TABLE]
Hence
[TABLE]
We next estimate . For every , , hence
[TABLE]
Therefore, by (1.11),
[TABLE]
Finally, we estimate . For every , , therefore
[TABLE]
Put
[TABLE]
If , then by (3.25). Otherwise, . Therefore, by L’ Hôpital’s rule,
[TABLE]
By combining (3.25) and (3.26) we obtain
[TABLE]
We deduce (3.21) by gathering (3.23), (3.24) and (3.27).
Proof of Theorem D. From Theorem C we get
[TABLE]
which implies
[TABLE]
We derive (1.13) due to Proposition 3.1.
3.2. Power absorption
In this subsection we assume that . Let and denote by the unique solution of (1.14). By Theorem C, and is increasing. Therefore, it is natural to investigate .
For any , put
[TABLE]
If is a solution of (1.17) in then is a solution of (1.17) in .
By Corollary A.9, the function
[TABLE]
where is a positive constant, is a radial singular solution of
[TABLE]
Lemma 3.2**.**
Assume . Then there exists a positive constant depending on , , and the characteristic of such that the following holds. If is a positive solution of (1.17) satisfying in then there holds
[TABLE]
Proof.
Let and put
[TABLE]
Put
[TABLE]
Then is a solution of
[TABLE]
Moreover
[TABLE]
Put and let be the constant in Proposition 2.8. We may assume . Let such that in , in and in . Let be the solution of (3.4) with replaced by . For , denote
[TABLE]
We will compare with .
Step 1: We show that is a super solution of (3.32) for large enough.
For , and hence
[TABLE]
where . Since , it follows that, for any ,
[TABLE]
Therefore if we choose then
[TABLE]
Next we see that there exists such that
[TABLE]
Consequently,
[TABLE]
Therefore if we choose then
[TABLE]
By combining (3.33) and (3.34), for , we deduce that is a super solution of (3.32).
Step 2: We show that in . By contradiction, we assume that there exists such that
[TABLE]
Then . It follows that
[TABLE]
This contradiction implies that in .
Step 3: End of proof. From step 2, we deduce that
[TABLE]
We note that for every . Here the constant depends on , and the characteristic of . Since , a characteristic of can be taken as a characteristic of . Therefore the constant can be taken independently of . Consequently,
[TABLE]
This implies
[TABLE]
Put
[TABLE]
If then let such that . It follows that
[TABLE]
By combining (3.35) and (3.36), we get
[TABLE]
If then (3.31) follows from the assumption . Thus (3.31) holds for every . If then by a similar argument as in Step 1 and Step 2 without similarity transformation, we deduce that there exist constants and depending on , , and the characteristic of such that (3.31) holds in for every . Finally, since , (3.31) holds in . Thus (3.31) holds in .
Lemma 3.3**.**
Let . There exists a constant such that for any and , there holds
[TABLE]
Proof.
We use a similar argument as in the proof of Proposition 3.1. It is easy to see that for every and ,
[TABLE]
Let , be as in (3.22) and put
[TABLE]
By proceeding as in the proof of Proposition 3.1 we deduce easily that there is positive constants such that
[TABLE]
and
[TABLE]
Combining (3.39) and (3.40) implies (3.37).
Proposition 3.4**.**
Assume . Then is a positive solution of (1.17). Moreover, there exists such that
[TABLE]
Proof.
We first claim that for any ,
[TABLE]
Indeed, by (2.5),
[TABLE]
Since , it follows that
[TABLE]
By proceeding as in Step 2 of the proof of Lemma 3.2, we deduce that in .
Consequently, is a solution of (1.17) vanishing on and satisfying in . In light of Lemma 3.2, we obtain the upper bound in (3.41).
Next we prove the lower bound in (3.41). By (2.5) and Lemma 3.3, for any and , we have
[TABLE]
For , one can choose such that . Choose , where will be made precise later on, then
[TABLE]
By choosing , we deduce for any there exists depending on such that
[TABLE]
Since in we obtain the first inequality in (3.41).
Proposition 3.5**.**
Assume . There exist and such that the following holds. There exists a decreasing sequence of positive numbers such that and for any ,
[TABLE]
Proof.
For any , we have
[TABLE]
Case 1: . Put and take . For , put , then . Take arbitrarily then one can choose such that . From (3.44), (2.5) and (3.37), we get
[TABLE]
Here the first estimate holds since and the third estimate holds since and . Since , we deduce that
[TABLE]
Case 2: . Put and take . For , put , then . Take arbitrarily then one can choose such that . From (3.44), (2.5) and Lemma 3.3, we get
[TABLE]
Here the third estimate holds since and . Therefore (3.45) holds.
Case 3: . Put and take . For , put , then . Take arbitrarily then one can choose such that . From (3.44), (2.5) and (3.37), we get
[TABLE]
Here the third estimate holds since and . Therefore (3.45) holds.
Case 4: . Put and take . For , put , then and when . Take arbitrarily then one can choose such that . From (3.44), (2.5) and (3.37), we get
[TABLE]
Here the inequality holds since and the last estimate follows from the following estimate
[TABLE]
Since , we derive
[TABLE]
By putting , we obtain (3.43).
Proposition 3.6**.**
Assume . Then for every .
Proof.
The proposition can be obtained by adapting the argument in the proof of [9, Theorem 1.2]. Let and put
[TABLE]
Then
[TABLE]
which implies
[TABLE]
Fix and set . By [13, Lemma 2.4] there exists a unique classical solution of the following problem
[TABLE]
By [13, Lemma 2.2],
[TABLE]
Next put then in . Moreover, for
[TABLE]
where . It follows that, for ,
[TABLE]
Therefore is a supersolution of
[TABLE]
Let be the unique solution of
[TABLE]
We can choose large enough so that the function
[TABLE]
is a subsolution of (3.51). By [13, Lemma 2.2] we obtain
[TABLE]
Put
[TABLE]
then we derive from (3.53) that
[TABLE]
By combining (3.46), (3.48) and (3.54), we deduce that
[TABLE]
This implies
[TABLE]
Theorem 3.7**.**
Assume and either or is compact with . Then, for any , there exists a unique solution solution of problem (1.14) satisfying in and
[TABLE]
Moreover, the map is increasing.
Proof.
Step 1: Existence. For we set and let be the unique solution of
[TABLE]
Then
[TABLE]
Since is increasing, it follows from (1.13) that is increasing too with the limit and there holds
[TABLE]
From (3.57), we deduce that
[TABLE]
where depends only on , and the characteristic of . Hence by the regularity up to the boundary [27], is uniformly bounded in and in for any . Therefore, converges locally uniformly, as , to . Thus is a positive solution of (1.17). Moreover by combining (1.13), (3.57), the fact that and , we deduce that and
[TABLE]
Step 2: Uniqueness. Suppose and are two weak solutions of (1.17) satisfying in and
[TABLE]
Take and put , . Then by (3.59) there exists a smooth bounded domain such that in and . In light of Kato’s inequality, we derive in . Moreover, in . By Lemma 2.12 we obtain in and therefore in . Letting yields in . By permuting the role of and , we derive in .
By a similar argument as in step 2, we can show that is increasing.
Proof of Theorem F. (i) Case 1: .
Since , there exist two open balls and such that and . Since it follows from Theorem 3.7 that
[TABLE]
where the first inequality holds in and the second inequality holds in .
Let be , or . Because of uniqueness, we have
[TABLE]
with . By Theorem 3.7, the sequence is increasing and by (3.42), . It follows that converges to a function which is a positive solution of (1.17) with replaced by .
Step 1: . Then . Letting in (3.61) yields to
[TABLE]
Therefore is self-similar and thus it can be written in the separable form
[TABLE]
where , and satisfies (1.16). Since , it follows from Theorem E that , the unique positive solution of (1.16). This means
[TABLE]
This implies (3.41).
Step 2: or . In accordance with our previous notations, we set and for and we have,
[TABLE]
and
[TABLE]
When , and where and are positive solutions of (3.42) in such that
[TABLE]
Furthermore there also holds for ,
[TABLE]
Letting and using (3.64) and the above convergence, we obtain
[TABLE]
Again this implies that and are separable solutions of (1.15). Since , by Theorem E,
[TABLE]
Step 3: End of the proof. From (3.60) and (3.64) there holds
[TABLE]
Since the left-hand side and the right-hand side of (3.69) converge to the same function , we obtain
[TABLE]
and this convergence holds in any compact subset of . Take , we derive (1.18). Estimate (3.41) follows from Proposition 3.4.
(ii) Case 2: . Then by Proposition 3.6, for every .
Appendix A Appendix - Separable solutions
A.1. Separable -harmonic functions
We denote by the spherical coordinates in , consider the following parametric representation of the unit sphere
[TABLE]
hence . We define the spherical fractional Laplace-Beltrami operator by
[TABLE]
with
[TABLE]
where . If is -harmonic in , it satisfies, at least formally,
[TABLE]
where is the integral operator
[TABLE]
whenever this integral is defined. We will see in the next two lemmas that the role of the exponent is fundamental for the definition of since we have
Lemma A.1**.**
If , , and such that , we define
[TABLE]
Then
(i)ii ,
(ii)i ,
(iii) .
Proof.
Since , the integral in (A.7) is absolutely convergent. We write
[TABLE]
By the change of variable
[TABLE]
where . Since
[TABLE]
the claim follows.
As a byproduct of (A.7) we have the following monotonicity formula
Lemma A.2**.**
If and , then for any the mapping is continuous and increasing from onto .
In the next result we analyze the behavior of when on .
Lemma A.3**.**
Assume , and with , then
I- If , there exists such that
[TABLE]
*II- If , *
(i) either and (A.8) holds with ,
(ii) either and
[TABLE]
(iii) or and
[TABLE]
Proof.
First, notice that the quantity
[TABLE]
is uniformly bounded with respect to . The only possible singularity in the expression given in (A.7) occurs when and . We write and , hence
[TABLE]
as . Moreover
[TABLE]
Hence
[TABLE]
If and ,
[TABLE]
for some independent of . If and
[TABLE]
and if or and ,
[TABLE]
as . Since there holds . Thus the claim follows.
Proposition A.4**.**
Assume , and with . Then is a continuous linear operator from into for any such that
[TABLE]
Furthermore, is positive (resp. negative) operator if (resp. ).
Proof.
By Lemma A.3, for any , for all if or and ; if and and is uniformly bounded on if and . The continuity result follows from Young’s inequality and the sign assertion from Lemma A.1.
The above calculations justifies the name of fractional Laplace-Beltrami operator given to since we have the following relation.
Lemma A.5**.**
Assume and , then
[TABLE]
where is a bounded linear operator from into for , satisfying (A.11) and
[TABLE]
Proof.
If , we set . Then
[TABLE]
Then we put , hence, when , we have after some straightforward computation
[TABLE]
This implies
[TABLE]
Since , the claim follows from Proposition A.4 and the kernel estimate in Lemma A.3.
Lemma A.6**.**
Under the assumption of Lemma A.5 there holds
[TABLE]
where
[TABLE]
Proof.
There holds by Cauchy-Schwarz inequality
[TABLE]
Since, by invariance by rotation, we have
[TABLE]
we derive (A.15).
We denote the upper hemisphere of the unit sphere in by .
Proposition A.7**.**
Let , and . Then there exist a unique and a unique (up to an homothety) positive , such that
[TABLE]
Furthermore the mapping is continuous and decreasing from onto . Finally if and only if and .
Proof.
We first notice that
[TABLE]
for any . By Lemma A.5 and (A.11) with ,
[TABLE]
where
[TABLE]
Since, by Poincaré inequality [16], there holds
[TABLE]
we obtain that the right-hand side of (A.17) is bounded from above by . Next we use the expansion estimates in Lemma A.5 to obtain that
[TABLE]
where . Hence
[TABLE]
Therefore,
[TABLE]
Finally we obtain
[TABLE]
We consider the bilinear form in
[TABLE]
Then is symmetric and there holds
[TABLE]
and
[TABLE]
By Riesz theorem, for any there exists such that
[TABLE]
We denote . It is clear that is positive and since the the embedding of into is compact by Rellich-Kondrachov theorem [16], is a compact operator. Hence the operator
[TABLE]
is a compact positive operator (here we use the fact that which makes positive). By the Krein-Rutman theorem there exists and , such that
[TABLE]
The function is the unique positive eigenfunction and is the only positive eigenvalue with positive eigenfunctions. Furthermore is the spectral radius of . If we set , we obtain (A.16). It is also classical that can be defined by
[TABLE]
Using (A.7), Lemma A.2 and monotone convergence theorem, we derive that the mapping
[TABLE]
is increasing and continuous. This implies that is decreasing and continuous. Since when , the expression (A.19) implies that when . Next, if is an element of such that , we derive from Poincaré inequality [16] and (A.15),
[TABLE]
Since when , we infer that . Consequently the mapping is a decreasing homeomorphism from onto and there exists a unique such that . The following expression of the Martin kernel in is classical,
[TABLE]
hence, if , it is a separable singular -harmonic function expressed in spherical coordinates with by
[TABLE]
This means that the function , which vanishes on and belongs to , satisfies
[TABLE]
The uniqueness of the positive eigenfunction implies that this function is and .
A.2. The nonlinear problem
A.2.1. Separable solutions in
If we look for separable positive solutions of
[TABLE]
under the form where , then satisfies
[TABLE]
Proposition A.8**.**
Assume and .
(i) If then there exists no positive solution of (A.22).
(ii) If then the unique positive solution of (A.22) is a constant function with value
[TABLE]
where is the constant defined in Lemma A.6.
Proof.
If , we assume that there exists a solution of (A.22). Then satisfies
[TABLE]
Since , we have which implies
[TABLE]
Then since the two other integrals are nonnegative.
Next, if it is clear that if is a constant nonnegative solution of (A.22) then we have
[TABLE]
Using invariance by rotation of the integral term on , we derive the claim. Conversely, assume is any bounded nonconstant positive solution, then it belongs to by [27]. Let where is maximal, then thus
[TABLE]
Hence . Similarly , which is a contradiction.
Corollary A.9**.**
Assume , and . Then the only positive separable solution of (A.21) in is
[TABLE]
A.2.2. Separable solutions in
If we consider separable solutions of problem (1.15) then satisfies (1.16).
Proof of Theorem E.
Step 1: Non-existence. Assume that such a solution exists, then
[TABLE]
Hence
[TABLE]
If , equivalently , the only nonnegative solution is the trivial one.
Step 2: Existence. Consider the following functional with domain ,
[TABLE]
Because of Lemma A.6, when . Furthermore, for , we have
[TABLE]
This implies that if , and thus the infimum of in is achieved by a nontrivial nonnegative solution of (1.16).
Step 3: Uniqueness.
(i) Existence of a maximal solution. By [27] any solution is smooth. Hence, at its maximum , it satisfies , thus
[TABLE]
This implies that . From the equation the set of positive solutions of (1.16) is bounded in and thus in by [27]. We put . There exists a countable dense set and a sequence of function such that
[TABLE]
Furthermore, this sequence can be constructed such that is nondecreasing for any . Finally by local compactness estimate, converges to in for any and weakly in . This implies that belongs to . It follows from [27, Th 1.2] that any satisfies
[TABLE]
(ii) Existence of a minimal solution. This follows from Theorem 3.7 that and is self-similar and it is the minimal solution of (1.17) in which satisfies
[TABLE]
Thus and is the minimal positive solution of (1.16). Furthermore it follows from (3.41) that
[TABLE]
if is the latitude of .
(iii) End of the uniqueness proof. By combining (A.27) and (A.29) we infer that there exists such that
[TABLE]
Assume , then
[TABLE]
is a positive supersolution (by convexity) of (1.16). Moreover
[TABLE]
is a positive subsolution of (1.16) smaller than hence also than . It follows by classical construction that there exists a solution of (1.16) which satisfies , which contradicts the minimality of .
Acknowledgements. The first author is supported by Fondecyt Grant 3160207. The second author is supported by collaboration programs ECOS C14E08.
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