Quasilinear and Hessian Lane-Emden type systems with measure data
Marie-Fran\c{c}oise Bidaut-V\'eron (LMPT), Quoc-Hung Nguyen (Scuola, Normale Superiore), Laurent V\'eron (LMPT)

TL;DR
This paper investigates nonlinear PDE systems involving p-Laplacian and Hessian operators with measure data, establishing conditions for solutions based on capacity theory in bounded domains and Euclidean space.
Contribution
It provides necessary and sufficient existence conditions for complex nonlinear systems with measure data using capacity criteria, extending previous results to new operators.
Findings
Existence conditions characterized by Riesz or Bessel capacities.
Results apply to systems with measure data in bounded domains and ^N.
Includes systems involving p-Laplacian and Hessian operators.
Abstract
We study nonlinear systems of the form and in a bounded domain or in where and are nonnegative Radon measures, and are respectively the -Laplacian and the -Hessian operators and , , and positive numbers. We give necessary and sufficient conditions for existence expressed in terms of Riesz or Bessel capacities.
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Taxonomy
TopicsNonlinear Partial Differential Equations · Numerical methods in inverse problems · Geometric Analysis and Curvature Flows
Quasilinear and Hessian Lane-Emden type
systems with measure data
**Marie-Françoise Bidaut-Véron
** **Quoc-Hung Nguyen
** **Laurent Véron
** E-mail address: [email protected], Laboratoire de Mathématiques et Physique Théorique, Université François Rabelais, Tours, France** E-mail address: [email protected], Scuola Normale Superiore, Centro Ennio de Giorgi, Piazza dei Cavalieri 3, I-56100 Pisa, Italy.**** E-mail address: [email protected], Laboratoire de Mathématiques et Physique Théorique, Université François Rabelais, Tours, France**
Abstract
We study nonlinear systems of the form and in a bounded domain or in where and are nonnegative Radon measures, and are respectively the -Laplacian and the -Hessian operators and , , and positive numbers. We give necessary and sufficient conditions for existence expressed in terms of Riesz or Bessel capacities.
2010 Mathematics Subject Classification. 35J70, 35J60, 45G15, 31C15.
Key words: -Laplacian, -Hessian, Bessel and Riesz capacities, measures, maximal functions.
Contents
- 1 Introduction and Main results
- 2 Estimates on potentials
- 3 Quasilinear Dirichlet problems
- 4 p-superharmonic functions and quasilinear equations in
- 5 Hessian equations
- 6 Further results
1 Introduction and Main results
Let be either a bounded domain or the whole , and . We denote by
[TABLE]
the p-Laplace operator and by
[TABLE]
the k-Hessian operator where are the eigenvalues of the Hessian matrix . In the work [20], Phuc and Verbitsky obtained necessary and sufficient conditions for existence of nonnegative solutions to the following equations
[TABLE]
and
[TABLE]
Their conditions involve the continuity of the measures with respect to Bessel or Riesz capacities and Wolff potentials estimates. For example, if is bounded and has compact support in , they proved that it is equivalent to solve (1.3), or to have
[TABLE]
for some constant where is a Bessel capacity, or to have
[TABLE]
for some constant , where and denotes the -truncated Wolff potential of the measure . Concerning the k-Hessian operator in a bounded -convex domain , they proved that if has compact support, the problem (1.6) with admits a nonnegative solution if and only if
[TABLE]
for some . In turn this condition is equivalent to
[TABLE]
for some . The results concerning the linear case and , can be found in [2, 3, 27].
The natural counterpart of equation (1.3) and (1.6) for systems:
[TABLE]
and
[TABLE]
where and are Radon measures. If , we consider the same equations, except that the boundary conditions are replaced by and our statements involve the Riesz potentials and their associated capacities . Our main results are the following.
Theorem A Let , and . Let be nonnegative Radon measures in . If the following system
[TABLE]
admits a nonnegative p-superharmonic solution then there exists a positive constant depending on such that
[TABLE]
Conversely, if and are bounded, there exists depending on such that if and (1.20) holds with replaced by , then (1.19) admits a nonnegative p-superharmonic solution satisfying
[TABLE]
in for some where .
We notice that the left-hand side in (1.20) is not symmetric in and and the capacity in the right-hade side is not symmetric in and . Hence the following symmetrized inequality holds
[TABLE]
It is known that
[TABLE]
if , the first part of above implies the following Liouville theorem, obtained by another method in [9, Th 5.3 -(i)].
Corollary B Assume that
[TABLE]
Any nonnegative p-superharmonic solution of inequalities
[TABLE]
is trivial, i.e. .
Classical Liouville results for one equation or inequality, are proved in [4], [5], [11], [22].
When is bounded domain, we have a similar result in which we denote by the distance function to the boundary .
Theorem C Let , and . Let be a bounded domain and nonnegative Radon measures in . If the following problem
[TABLE]
admits a nonnegative renormalized solution , then then for any compact set , there exists a positive constant depending on and such that
[TABLE]
Conversely, let and be bounded with the property that there exists depending on and such that if and
[TABLE]
for all compact set , then (1.24) admits a nonnegative renormalized solution satisfying
[TABLE]
in , where .
It is known that
[TABLE]
if and only if . Thus, as an application in a partially subcritical case we have,
Corollary D Let the assumptions on , , , and of Theorem C be satisfied, , and be a nonnegative Radon measures in . If the following problem
[TABLE]
admits a nonnegative renormalized solution , then there exist positive constants and, for any compact subset of , c_{{}_{16}}=c_{{}_{16}}(N,p,q_{1},q_{2},\mbox{\rm dist}\,(K,\partial\Omega){\color[rgb]{1,0,0})}, such that
[TABLE]
Conversely, assuming that is bounded, there exist positive constants , such that if and holds with and replaced respectively by and , then there exists a nonnegative renormalized solution of satisfying
[TABLE]
in , where
[TABLE]
Concerning the -Hessian operator we recall some notions introduced by Trudinger and Wang [23, 24, 25], and we follow their notations. For and the k-Hessian operator is defined by
[TABLE]
where denotes the eigenvalues of the Hessian matrix of second partial derivatives and is the k-th elementary symmetric polynomial that is
[TABLE]
Since is symmetric, it is clear that
[TABLE]
where we denote by the sum of the k-th principal minors of a matrix . In order that there exists a smooth k-admissible function which vanishes on , the boundary must satisfy a uniformly (k-1)-convex condition, that is
[TABLE]
for some positive constant , where denote the principal curvatures of with respect to its inner normal. We also denote by the class of upper-semicontinuous functions which are -convex, or subharmonic in the Perron sense (see Definition 5.1). In this paper we prove the following theorem (in which expression is the largest integer less or equal to )
Theorem E Let , . Let be a bounded uniformly (k-1)-convex domain in with diameter . Let and be nonnegative Radon measures where has compact support in and for some . If the following problem
[TABLE]
admits a nonnegative solutions , continuous near , with and elements of , then for any compact set , there exists a positive constant depending on and such that there holds
[TABLE]
Conversely,, if and are bounded, there exist a positive constant depending on and such that, if and
[TABLE]
for all Borel set , then (1.31) admits a nonnegative solution , continuous near , with satisfying
[TABLE]
in for some constants () depending on , and .
If is replaced by the whole space we prove,
Theorem F Let , . Let be a nonnegative Radon measures in . If the following problem
[TABLE]
admits a nonnegative solutions with and belonging to , then there exists a positive constant depending on such that there holds
[TABLE]
Conversely,, if and are bounded, there exists positive constant depending on such that, if and (1.36) holds with instead of , then (1.35) admits a nonnegative solution with and in satisfying
[TABLE]
in , where the () depend on .
As in the p-Laplace case, we have a Liouville property for Hessian systems.
Corollary G Assume that
[TABLE]
Any nonnegative solution (u,v) of inequalities
[TABLE]
with and in is trivial.
2 Estimates on potentials
Throughout this article , j=1,2,…, denote structural positive constants and is the volume of the unit ball in . The following inequality will be used several times in the sequel.
Lemma 2.1
Let , such that . Let be nondecreasing. Then,
[TABLE]
for some depending on , , .
Proof. Case 1: . Since there holds
[TABLE]
we deduce
[TABLE]
where and if and if . By Fubini’s theorem,
[TABLE]
which is (2.1).
Case 2: . Since
[TABLE]
we obtain
[TABLE]
by Fubini’s theorem, which completes the proof.
We recall that if , and belongs to the set of positive Radon measures in that we denote , the Wolff potential of is defined by
[TABLE]
and if , the -truncated Wolff potential of is
[TABLE]
If is a Radon measure on a Borel set , it’s Wolff potential (or truncated Wolff potential) is the potential of its extension by [math] in . We start with the following composition estimate on Wolff potentials.
Lemma 2.2
Let . Then for any and we have
[TABLE]
in for some depending on . Moreover, if , there holds
[TABLE]
in , where depends on .
Proof. For any , using the fact if then , we have
[TABLE]
where , which proves (2.4).
In order to prove (2.4) we recall the following estimate on Wolff potentials [7]
[TABLE]
where denotes the weak- space. In particular, since ,
[TABLE]
Applying this inequality to yields
[TABLE]
We claim that
[TABLE]
Since for any , we have
[TABLE]
Hence,
[TABLE]
Using Lemma 2.1, we infer
[TABLE]
which completes the proof.
The following is a version of Lemma 2.2 for truncated Wolff potentials,
Lemma 2.3
Let and . If there holds for any
[TABLE]
in . Moreover, if , there holds for any ,
[TABLE]
in .
Proof. For any ,
[TABLE]
Since for all , provided ,
[TABLE]
Hence
[TABLE]
which implies (2.10).
Because of (2.8), it is sufficient to prove that there holds
[TABLE]
in order to obtain (2.11). Since for any , we have
[TABLE]
Therefore
[TABLE]
We infer (2.12) by Lemma 2.1, which completes the proof.
The next two propositions link Wolff potentials of a measure with Riesz capaciticies (in the case of whole space) and truncated Wolff potentials with Bessel capaciticies (in the bounded domain case). Their proof can be found in [20, 21] (and [8] with a different method).
Proposition 2.4
Let , , . Then, the following statements are equivalent:
(a) The inequality
[TABLE]
holds for any compact set , for some .
(b) The inequality
[TABLE]
holds for any ball , for some .
(c) The inequality
[TABLE]
holds for some .
Proposition 2.5
Let , , and for some . Then, the following statements are equivalent:
(a) The inequality
[TABLE]
holds for any compact set , for some .
(b) The inequality
[TABLE]
holds for any ball , for some .
(c) The inequality
[TABLE]
holds for some .
In the following statement we obtain capacitary estimates on combination of measures.
Proposition 2.6
Let be in . Assume that and .
(i) If there holds
[TABLE]
for any compact set , then
[TABLE]
where .
(ii) If there holds
[TABLE]
for any compact set , then
[TABLE]
where .
Proof. Statement (i): We assume that (2.19) holds. Put and apply (2.19) to . Since by homogeneity
[TABLE]
we deduce from (2.19)
[TABLE]
which is equivalent to
[TABLE]
We apply Proposition 2.4 to with , (2.19) implies
[TABLE]
By Lemma 2.2, (2.20) is equivalent to
[TABLE]
Therefore, it is enough to show that (2.23) and (2.24) imply (2.25). In fact, since for
[TABLE]
we apply (2.24) and obtain
[TABLE]
So, it is enough to show that
[TABLE]
Since for any , we have
[TABLE]
It follows from Lemma 2.1 and (2.23) that
[TABLE]
which is (2.26).
Statement (ii): We assume that (2.21) holds. Put , then
[TABLE]
As in the proof of statement (i), the above inequality is equivalent to
[TABLE]
Applying Proposition 2.5 with and ,
[TABLE]
By Lemma 2.3, (2.22) is equivalent to
[TABLE]
Therefore, it is sufficient to prove that (2.27) and (2.28) imply (2.29). Actually, since
[TABLE]
for all , thus applying (2.28), we obtain
[TABLE]
So, it is sufficient to show that for any
[TABLE]
Since for any with , we have
[TABLE]
Combining this with Lemma 2.1 and (2.27) yields
[TABLE]
Therefore, (2.29) follows since in .
Proposition 2.7
Let be in . Assume that and . Let be nonnegative measurable funtions in verifying, for all ,
[TABLE]
for some and . Then, there exists a constant depending only on such that if the measure satisfies
[TABLE]
for any compact set , then
[TABLE]
for some constants depending only on and .
Proof. By Proposition 2.6, (2.31) implies
[TABLE]
We set
[TABLE]
and choose such that
[TABLE]
We claim that
[TABLE]
Clearly, by definition of and , we have (2.34) for . Next we assume that (2.34) holds for all integer for some , then
[TABLE]
and
[TABLE]
Thus, (2.34) holds true for . Hence, (2.34) is valid for all
The next result is an adaptation of Proposition 2.7 to truncated Wolff potentials.
Proposition 2.8
Let be in . Assume that and . Let be nonnegative measurable funtions in such that for all
[TABLE]
and . If we set , there exists a constant depending only on and such that if
[TABLE]
for any compact set , then
[TABLE]
in for some constants depending only on and .
Proof. The proof is similar to the one of Proposition 2.7 and we omit the details.
Proposition 2.9
Let and such that .
(i) Assume that and belong to and are nonnegative measurable functions satisfying
[TABLE]
for some . Then there exists a constant depending only on and such that
[TABLE]
for any compact set .
(ii) Assume that and belong to and are nonnegative functions satisfying
[TABLE]
for some . Then for any , there exists a constant depending only on and such that
[TABLE]
for any compact set .
Proof. (i): Set , then
[TABLE]
[TABLE]
which implies
[TABLE]
Applying Proposition 2.4 to with , we get (2.38).
(ii) We define as above and we have
[TABLE]
which leads to
[TABLE]
by inequality (2.10) in Lemma 2.3. Let denote the centered Hardy-Littlewood maximal function which is defined for any by
[TABLE]
Let be compact. Set and . Then, for any Borel set ,
[TABLE]
Since is a bounded linear map on for any and
[TABLE]
we obtain
[TABLE]
where . Note that if and , then for all ; indeed, for all
[TABLE]
thus
[TABLE]
which implies . We deduce that
[TABLE]
and
[TABLE]
Hence we obtain
[TABLE]
Applying Proposition 2.5 with we get (2.40), which completes the proof.
3 Quasilinear Dirichlet problems
Let be a bounded domain in . If , we denote by and respectively its positive and negative parts in the Jordan decomposition. We denote by the space of measures in which are absolutely continuous with respect to the -capacity defined on a compact set by
[TABLE]
We also denote the space of measures in with support on a set of zero -capacity. Classically, any can be written in a unique way under the form where and . It is well known that any can be written under the form where and .
For and we set . If is a measurable function defined in , finite a.e. and such that for any , there exists a measurable function such that a.e. in and for all . We define the gradient a.e. of by . We recall the definition of a renormalized solution given in [12].
Definition 3.1
Let . A measurable function defined in and finite a.e. is called a renormalized solution of
[TABLE]
if for any , for any , and has the property that for any there exist and belonging to , respectively concentrated on the sets and , with the property that , in the narrow topology of measures and such that
[TABLE]
for every .
Remark 3.2
We recall that if is a renormalized solution to problem (3.1), then for all . Furthermore, in if .
The following general stability result has been proved in [12, Th 4.1].
Theorem 3.3
Let with and , belonging to Let with , and , belonging to . Assume that converges to weakly in , converges to strongly in and is bounded in ; assume also that converges to and to in the narrow topology. If is a sequence of renormalized solutions of (3.1) with data , then, up to a subsequence, it converges a.e. in to a renormalized solution of problem (3.1). Furthermore, converges to in for any .
We also recall the following estimate [20, Th 2.1].
Proposition 3.4
Let be a bounded domain of . Then there exists a constant , depending on and such that if and is a nonnegative renormalized solution of problem (3.1) with data , there holds
[TABLE]
Proof of Theorem C. The condition is necessary. Assume that (1.24) admits a nonnegative renormalized solutions . By Proposition 3.4 there holds
[TABLE]
Hence, we infer (1.25) from Proposition 2.9-(ii).
Sufficient conditions. Let be a sequence of nonnegative renormalized solutions of the following problems for ,
[TABLE]
with initial condition . The sequences and can be constructed in such a way that they are nondecreasing (see e.g. [21]). By Proposition 3.4 we have
[TABLE]
where . Thus, by Proposition 2.8 there exists a constant depending only on such that if
[TABLE]
for any compact set with , then
[TABLE]
in , and
[TABLE]
This implies that are well defined and nondecreasing. Thus converges a.e in to some functions which satisfies (1.27) in . Furthermore, we deduce from (3.6) and the monotone convergence theorem that and in . Finally we infer that is a renormalized solution of (1.24) by Theorem 3.3.
4 p-superharmonic functions and quasilinear equations in
We recall some definitions and properties of -superharmonic functions (see e.g. [13], [14], [15] for general properties and [28] for a simple presentation).
Definition 4.1
A function is said to be -harmonic in if and in ; it is always . A function is called a -supersolution in if and in .
Definition 4.2
A lower semicontinuous (l.s.c) function is called -super-harmonic if is not identically infinite and if, for all open and all , -harmonic in , on implies in .
Let be a -superharmonic in . It is well known that is a p-supersolution for all and a.e in , thus, has a gradient (see the previous section). We also have , and for and , (see [13, Theorem 7.46]). Thus for any , by the dominated convergence theorem,
[TABLE]
Hence, by the Riesz Representation Theorem, there is a nonnegative Radon measure denoted by , called the Riesz measure, such that in .
The following weak convergence result for Riesz measures proved in [26] will be used to obtain the existence of -superharmonic solutions to quasilinear equations.
Proposition 4.3
Suppose that is a sequence of nonnegative -superharmonic functions in that converges a.e to a -superharmonic function . Then the sequence of measures converges to in the weak sense of measures.
The proof of the next result can be found in [20].
Proposition 4.4
Let be a measure in . Suppose that a.e. Then there exists a nonnegative -superharmonic function in such that in , and
[TABLE]
for almost all in , where the constant is the one of Proposition 3.4. Furthermore any -superharmonic function in , such that satisfies (4.1) with .
Proof of Theorem A. The condition is necessary. Assume that (1.24) admits a nonnegative -superharmonic functions . By Proposition 4.4 there holds
[TABLE]
Hence, we obtain (1.20) from Proposition 2.9-(i).
*The condition is sufficient. * Let be a sequence of nonnegative -superharmonic solutions of the following problems for ,
[TABLE]
with . As in the proof of Theorem C we can assume that and are nondecreasing. By Proposition 4.4 we have
[TABLE]
Thus, by Proposition 2.7 there exists a constant depending only on such that, if
[TABLE]
for any compact set with , then there holds in ,
[TABLE]
and
[TABLE]
This implies that are well defined and nondecreasing. Thus converges a.e in to some functions which satisfies (1.27) in . Furthermore, we infer from (3.6) and the monotone convergence theorem that in . By Proposition 4.3 we deduce that are nonnegative -superharmonic solutions of (1.19).——–
5 Hessian equations
In this section is either a bounded domain with a boundary or the whole . For and the k-hessian operator is defined by
[TABLE]
where denotes the eigenvalues of the Hessian matrix of second partial derivative and is the k-th elementary symmetric polynomial that is
[TABLE]
We can see that
[TABLE]
where for a matrix , denotes the sum of the k-th principal minors. We assume that is uniformly (k-1)-convex, that is
[TABLE]
for some positive constant , where denote the principal curvatures of with respect to its inner normal.
Definition 5.1
An upper-semicontinuous function is k-convex (k-subharmonic) if, for every open set and for every function satisfying in , the following implication is true
[TABLE]
We denote by the class of all -subharmonic functions in which are not identically equal to .
The following weak convergence result for -Hessian operators proved in [24] is fundamental in our study.
Proposition 5.2
Let be either a bounded uniformly (k-1)-convex in or the whole . For each , there exists a nonnegative Radon measure in such that
1* for .*
2* If is a sequence of k-convex functions which converges a.e to , then in the weak sense of measures.*
As in the case of quasilinear equations with measure data, precise estimates of solutions of k-Hessian equations with measures data are expressed in terms of Wolff potentials. The next results are proved in [24, 17, 20].
Theorem 5.3
Let be a bounded , uniformly (k-1)-convex domain. Let be a nonnegative Radon measure in which can be decomposed under the form
[TABLE]
where is a measure with compact support in and for some if , or if . Then there exists a nonnegative function in , continuous near , such that and u is a solution of the problem
[TABLE]
Furthermore, any nonnegative function such that which is continuous near and is a solution of above equation, satisfies
[TABLE]
where is a positive constant independent of and .
Theorem 5.4
Let be a measure in and . Suppose that a.e. Then there exists , such that and and
[TABLE]
for all in . Furthermore, if is a nonnegative function such that and , then (5.2) holds with .
Proof of Theorem E. The condition is necessary. Assume that (1.31) admits a nonnegative solution , continuous near , such that and . Then by Theorem 5.3 we have
[TABLE]
Using the part 2 of Proposition 2.9, we conclude that (1.32) holds.
The condition is sufficient. We define a sequence of nonnegative functions , continuous near and such that , by the following iterative scheme for ,
[TABLE]
Clearly, we can assume that is nondecreasing as in [21]. By Theorem 5.3 we have
[TABLE]
where .
Then, by Proposition 2.8, there exists a constant depending only on such that if
[TABLE]
for any compact set with , then there holds,
[TABLE]
in , for all , for some positive constants and depending only on . Note that we can write
[TABLE]
and
[TABLE]
where and is small enough and since is continuous near , then satisfy the assumptions of the data in Theorem 5.3. Therefore the sequence is well defined and nondecreasing. Thus, converges a.e in to some function which satisfies (1.34) in . Furthermore, by the monotone convergence theorem there holds in . Finally, by Proposition 5.2, we infer that (1.31) admits a nonnegative solutions , continuous near , with satisfying (1.34).
Proof of Theorem F The condition is necessary. Assume that (1.31) admits nonnegative solution , such that and . Then by Theorem 5.3 we have
[TABLE]
Using Proposition 2.9-(ii), we conclude that (1.32) holds.
The condition is sufficient. We defined a sequence of nonnegative functions , continuous near and such that , by the following iterative scheme for ,
[TABLE]
As in the previous proofs is nondecreasing. By Theorem 5.3 we have
[TABLE]
Then, by Proposition 2.7, there exists a constant depending only on such that if
[TABLE]
for any compact set with , then
[TABLE]
in , for all , where , and depend on . Therefore the sequence is well defined and nondecreasing. Thus, converges a.e in to some function for which (1.37) is satisfied in . Furthermore, by the monotone convergence theorem we have in . Finally, by Proposition 5.2, we obtain that (1.31) admits a nonnegative solutions with satisfying (1.37).
6 Further results
The method exposed in the previous sections, can be applied to types of problems. We give below an example for a semilinear system in .
[TABLE]
where we have identified and . We denote by (resp. ) the Poisson kernel in (resp the Green kernel in ). The Poisson potential and the Green potential, and , associated to are defined respectively by
[TABLE]
see [18]. We set and define the capacity by
[TABLE]
for all Borel set , where is the Riesz kernel of order in .
Theorem 6.1
Let , . If there exists a constant such that if
[TABLE]
for all Borel sets and , then the problem (6.1) admits a solution.
All solutions in above theorem are understood in the usual very weak sense: , for any ball and
[TABLE]
for any with on . It is well-known that such a solution satisfies
[TABLE]
To prove Theorem 6.1 we need the following basic estimate,
Lemma 6.2
Assume that . Then for any ,
[TABLE]
where depends on and .
Proof. The proof of Lemma 6.2 is similar to the one of Lemma 2.2 and details are omitted. Note that if it is extended by [math] in .
Remark 6.3
The condition is a necessary and sufficient condition in order be locally integrable in for any .
Theorem 6.4
Let , and . If
[TABLE]
for some , then
[TABLE]
Proof. Step 1. For any compact , we have
[TABLE]
by assumption and the definition of the capacity. Hence,
[TABLE]
This implies an estimate in Lorentz space,
[TABLE]
Step 2. Since, for any ,
[TABLE]
we infer, using duality between and , Holder’s inequality therein and (6.5), that
[TABLE]
Therefore,
[TABLE]
Step 3. Taking and since for
[TABLE]
we deduce that for almost all ,
[TABLE]
from (6.6), which implies
[TABLE]
since for any where the symbol is defined by
[TABLE]
It implies also
[TABLE]
from which follows
[TABLE]
Therefore, if the following inequality holds
[TABLE]
it will imply (6.4).
Step 4. We claim that (6.9) holds. Since , ,
[TABLE]
By integration by part,
[TABLE]
We have
[TABLE]
[TABLE]
by (6.7) and
[TABLE]
Thus,
[TABLE]
and we obtain (6.9).
Lemma 6.5
Let , such that where . For all , there holds
[TABLE]
where is the Riesz potential of order in . As a consequence, we have
[TABLE]
Proof. We have
[TABLE]
By using Lemma 2.1 we obtain
[TABLE]
On the other hand, by [20, Proposition 5.1], there holds
[TABLE]
Combining (6.12), (6.13) and (6.14) we obtain (6.10). Moreover, we deduce (6.11) from (6.10) and [1, Theorem 2.5.1], which ends the proof.
Proof of Theorem 6.1 The following estimates are cclassical
[TABLE]
Thus,
[TABLE]
where in . Therefore, we infer that if
[TABLE]
for some small enough, then (6.1) admits a positive solution . On the other hand, we deduce (6.18) from Lemma 6.2 and Theorem 6.4. The proof is complete.
Remark 6.6
The system
[TABLE]
where belong to , to and the are positive numbers, is analyzed in [10, Th 4.6]. Therein it is proved that if
[TABLE]
which is equivalent to a capacitary estimate, and
[TABLE]
and if the are small enough, then (6.19) admits a positive solution. Now condition (6.21) is a subcriticality assumption (for at least one of the two exponents ) since there is no condition on the boundary measures.
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