Boundedness of stable solutions to nonlinear equations involving the $p$-Laplacian
Pietro Miraglio

TL;DR
This paper establishes a new optimal condition for boundedness of stable solutions to nonlinear p-Laplacian equations, providing a unified proof for both radial and nonradial cases and advancing understanding of solution regularity.
Contribution
It introduces a new condition on dimension and p that guarantees boundedness of stable solutions for all C^1 nonlinearities, improving previous results and unifying radial and nonradial cases.
Findings
Established an L-infinity a priori estimate for stable solutions.
Proved the condition is optimal in the radial case for n≥3.
Unified the proof for radial and nonradial solutions.
Abstract
We consider stable solutions to the equation in a smooth bounded domain for a nonlinearity . Either in the radial case, or for some model nonlinearities in a general domain, stable solutions are known to be bounded in the optimal dimension range . In this article, under a new condition on and , we establish an a priori estimate for stable solutions which holds for every . Our condition is optimal in the radial case for , whereas it is more restrictive in the nonradial case. This work improves the known results in the topic and gives a unified proof for the radial and the nonradial cases. The existence of an bound for stable solutions holding for all nonlinearities when has been an open problem over the last twenty years. A forthcoming…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Boundedness of stable solutions to nonlinear equations involving the -Laplacian
Pietro Miraglio
P. Miraglio 1,2,
1 Università degli Studi di Milano, Dipartimento di Matematica, via Cesare Saldini 50, 20133 Milano, Italy
2 Universitat Politècnica de Catalunya, Departament de Matemàtiques, Diagonal 647, 08028 Barcelona, Spain
Abstract.
We consider stable solutions to the equation in a smooth bounded domain for a nonlinearity . Either in the radial case, or for some model nonlinearities in a general domain, stable solutions are known to be bounded in the optimal dimension range . In this article, under a new condition on and , we establish an a priori estimate for stable solutions which holds for every . Our condition is optimal in the radial case for , whereas it is more restrictive in the nonradial case. This work improves the known results in the topic and gives a unified proof for the radial and the nonradial cases.
The existence of an bound for stable solutions holding for all nonlinearities when has been an open problem over the last twenty years. The forthcoming paper [11] by Cabré, Sanchón, and the author will solve it when .
P.M. is supported by the MINECO grant MTM2017-84214-C2-1-P and is part of the Catalan research group 2017SGR1392.
1. Introduction
For a smooth bounded domain , a nonlinearity and for every , we consider the elliptic equation involving the -Laplacian
[TABLE]
and the associated Dirichlet problem
[TABLE]
Solutions to equation (1.1) correspond to critical points of the functional
[TABLE]
where , and the boundary condition in (1.2) is intended in the weak sense as . Stable solutions to (1.1) are those for which the second variation of energy is nonnegative. More precisely, a solution to (1.1) is said to be stable if
[TABLE]
for every , defined in [13, 19] as
[TABLE]
Here and throughout the paper, is the weighted norm with weight , and is defined as the completion of with respect to the norm
[TABLE]
See the beginning of section 4 in [13] for more details about the class of test functions. In short, it is important to stress that, with this definition, is a Hilbert space. The difference in defining the class is due to the fact that if then , while this is not true when .
We say that is a regular solution to (1.2) if it solves the equation in the distributional sense and . Every regular solution is proved to be — see [16, 24, 31] — and this is the best regularity that one can expect for solutions to nonlinear equations involving the -Laplacian.
In this paper we focus on the boundedness of stable solutions to (1.1), or to the associated Dirichlet problem (1.2), for general nonlinearities . The importance of this problem for the classical Laplacian — when — has been stressed by Haïm Brezis since the mid-nineties — see [1, 3]. Very recently, it has been completely solved by Cabré, Figalli, Ros-Oton, and Serra [9], proving that stable solutions are bounded whenever . This result is indeed optimal, since explicit examples of unbounded stable solutions to (1.1) with are well-known when .
The boundedness of stable solutions to (1.2) is conjectured to hold under the assumption . In fact, when , is a ball and , García Azorero, Peral, and Puel showed in [21] the existence of an unbounded stable solution to (1.2). On the other hand, considering radial solutions to (1.2) in a ball, Cabré, Capella, and Sanchón proved in [8] the boundedness of stable solutions, provided that . In the nonradial case and for general nonlinearities, the optimal result will be achieved in the forthcoming paper [11] by Cabré, Sanchón, and the author, assuming that and the domain is strictly convex. This is done extending to the -Laplacian framework some of the techniques used in [9]. In the present work we do not use any idea or method developed in [9]. The papers [21, 8, 11] are part of an extensive literature on the topic, which is outlined in subsection 1.1.
The aim of the present paper is to provide a priori bounds for stable solutions to (1.2) under a certain condition over and . In the nonradial case, our condition over and is not optimal, but it improves the known results in the field. In the radial case, our proof gives for the optimal result in [8] in an unified way with the one in general domains. Furthermore, our technique is based on a geometric Hardy inequality on the level sets of the stable solution. This approach — that we explain below in detail — has been introduced by Cabré in [6] for the classical version of the problem and it has never been used before in the context of the -Laplacian.
1.1. Available results
Let us describe first the large literature for the classical case , and then list the most important results for problem (1.2) with .
The first paper about this topic is by Crandall and Rabinowitz in 1975 [14], in which they study problem (1.2) with for smooth nonlinearities satisfying
[TABLE]
These assumptions are verified for instance by exponential and power-type nonlinearities, as discussed in [14].
Assuming that satisfies (1.3), we can introduce extremal solutions, which are nontrivial examples of stable solutions to (1.2), sometimes unbounded. In order to define them in the classical case, let us consider a positive parameter and the Dirichlet problem
[TABLE]
It is known the existence of an extremal parameter such that if , then problem (1.4) admits a regular solution which is minimal, while if then it admits no regular solution. In addition, the family is increasing in , every is stable, and one can define the limit
[TABLE]
The function is a weak111In the sense introduced by Brezis et al.[2]: is a weak solution of (1.4) if and
for every . solution of (1.4) with and it is stable. Assuming also that is convex, is the unique weak solution to (1.4) for . It is called the extremal solution of problem (1.4) and its boundedness depends on the dimension, the domain and the nonlinearity. In [3] the authors raised several open question about the extremal solution, especially about its regularity, which can be deduced from its boundedness using classical tools in the theory of elliptic PDEs — see also the open problems raised by Brezis in [1].
When , Crandall and Rabinowitz prove in [14] that if , while when and — see [23]. Similar results hold for , and also for functions such that
[TABLE]
as proved also in [14].
We will describe now some a priori estimates which have been proved for the smooth stable solutions to (1.4) with , under different assumptions on . The estimates are uniform in and they led, by letting , to the boundedness of the extremal solution. Since the proofs work for every smooth stable solution to (1.2) with under the same assumptions on , we describe here the results in the framework of stable solutions to (1.2) with .
Nedev obtained in [25] an bound for stable solutions in dimensions , under the hypothesis that is convex and satisfies (1.3). Some years later, Cabré and Capella [7] solved the radial case for every Lipschitz nonlinearity, proving the boundedness of stable solutions when and .
In 2010 Cabré [4] proved that in dimensions stable solutions are bounded in every convex domain and for every nonlinearity. A few years later, Villegas [32] removed the convexity hypothesis about when , by further assuming that is convex. Its proof uses both the results in [4] and [25],
The proof in [4] is rather delicate and it is based on the Michael-Simon and Allard inequality on the level sets of a stable solution . The same result has been proved very recently in [6] by the same author, using this time a Hardy inequality on the level sets of . This new method is not only simpler, but it also gives a unified proof of the radial case — in the optimal dimension range — and of the nonradial case if , obtaining boundedness of stable solutions to (1.2) with when is convex.
In [4, 6], the a priori bounds for stable solutions are obtained through an estimate in the interior of the domain combined later with some estimates near the boundary. The interior bounds hold for every regular domain and do not depend on the values of the stable solutions at the boundary. On the contrary, in order to have boundary estimates, the author needs to consider stable solutions to the Dirichlet problem (1.2) with and also to assume the convexity of . In the present paper, we follow the strategy of the second paper, [6], extending it to the case of the -Laplacian.
As we mentioned above, very recently Cabré, Figalli, Ros-Oton, and Serra [9] settled the problem, proving that stable solutions are bounded in dimension . The interior regularity applies to every nonnegative , while the global result requires to be nondecreasing and convex. This was done by the authors using new and different ideas from the ones in [4, 6]. For more details about the classical problem for the Laplacian we refer to the recent survey [5] and to the book [17].
Before outlining in detail our results, we comment on what is known about the boundedness of stable solutions for the -Laplacian. Let us start by describing the extremal solutions for the problem
[TABLE]
where is a positive parameter and a nonlinearity. Under the assumptions
[TABLE]
there exists an extremal parameter such that if , then problem (1.7) admits a minimal regular solution , while if then it admits no regular solution. Furthermore, the family is increasing in , every is stable and we can define as in (1.5) — see [12] for these results about the extremal problem for the -Laplacian.
For and satisfying (1.8), it is not known in general whether is a distributional solution of (1.7) with . However, when is the exponential nonlinearity or it satisfies some strong assumptions — see [20, 21, 12, 28] — it has been proved that is a distributional solution to (1.7) with . In this cases, it is called the extremal solution of problem (1.7).
As in the classical case, also for the integrability and regularity properties of are obtained as a consequence of uniform estimates for the stable branch .
García Azorero, Peral, and Puel treated the exponential nonlinearity for in [20, 21]. They established the boundedness of stable solutions when
[TABLE]
and showed that this condition is optimal. Indeed, they provided an example of unbounded stable solution to (1.2) with , and .
Some years later, Sanchón proved in [27] that stable solutions are bounded in the optimal dimension range (1.9), under the hypothesis that is an increasing function, it satisfies (1.8) and also the strong assumption (1.6) on the behavior of at infinity. The same result is obtained by Cabré and Sanchón in [12], assuming that the nonlinearity satisfies (1.8) and the power growth hypothesis , where is smaller than a “Joseph-Lundgren type” exponent which is optimal for the regularity of stable solutions.
As we mentioned above, the radial case of problem (1.2) was settled by Cabré, Capella, and Sanchón in [8] for every locally Lipschitz nonlinearity. Indeed, under this assumption they proved that radial stable solutions are bounded in the optimal range .
Back to the nonradial case, the following works deal with general nonlinearities satisfying essentially (1.8). They are also the most recent results in the topic.
Sanchón in [27, 28] considers nonlinearities that satisfy (1.8) and
[TABLE]
Observe that when this last condition becomes the standard convexity assumption on made in [3] and appearing also in the recent paper [9].
In [27, 28] it is proved the boundedness of stable solutions whenever
[TABLE]
Both results are obtained following the approach of Nedev in [25] for . Later, Castorina and Sanchón [13] extended Cabré’s method in [4] for to the case of the -Laplacian, proving that stable solutions are bounded in the range
[TABLE]
under the assumption that is , and satisfies (1.8) and (1.10).
In the forthcoming paper [11] by Cabré, Sanchón, and the author, the interior results in [9] for will be extended to the case of the -Laplacian. In particular, we will prove that stable solutions are bounded in the optimal dimension range whenever and is strictly convex.
1.2. New results and strategy of the proof
Theorem 1.1 below is the main result of the present article. It establishes, under a new condition on and , an a priori estimate for stable solutions for every nonlinearity. This condition improves the one in [13], (1.12), when and , even though it is not optimal.
Our result consists of an interior estimate for stable solutions which does not depend on the boundary values of the function and holds for every nonlinearity and every bounded domain — see (1.14) below. Up to our knowledge, ours is the first result of this kind for stable solutions to in the setting of the -Laplacian.
This interior estimate leads to a global estimate under the further assumption that the domain is strictly convex and that is a stable solution of the Dirichlet problem (1.2), and not only of equation (1.1) — see (1.15) below.
Theorem 1.1**.**
Let be any nonlinearity, a bounded smooth domain, , and a regular stable solution to (1.1). Assume that
[TABLE]
- (i)
Then, for every , we have that
[TABLE]
where
[TABLE]
and is a constant depending only on , , and .
- (ii)
If in addition is strictly convex, is a positive solution of the Dirichlet problem (1.2), and is positive, then
[TABLE]
where is a constant depending only on , , , and .
- (iii)
If is a ball and is strictly positive in , then both (1.14) and (1.15) hold if
[TABLE]
Remark 1.2**.**
We point out that condition (1.13) forces for , and for . Furthermore, our condition (1.13) improves (1.12) for , since .
The interior estimate (1.14) does not require any assumption on the values of at the boundary of , nor the strict convexity of the domain. On the other hand, passing from (1.14) to the global bound (1.15) requires some boundary estimates, which are available if we assume that the domain is strictly convex, is a positive stable solution to the Dirichlet problem (1.2), and is positive. We will introduce the boundary estimates in Section 2, before the proof of Theorem 1.1.
Our main result Theorem 1.1 is obtained as a consequence of the following proposition. It is an estimate of the weighted norm of the gradient of in , being controlled by the norm of the gradient of in a small neighborhood of the boundary of the domain.
Proposition 1.3**.**
Let be any nonlinearity, a bounded smooth domain, , and a regular stable solution to (1.1). Let satisfy
[TABLE]
Then, for all and , it holds that
[TABLE]
where is a constant depending only on , , , and .
If is a ball and is strictly positive in , then (1.18) holds with if, instead of (1.17), we assume that satisfies
[TABLE]
As we mentioned above, in order to prove Proposition 1.3 we follow the strategy used in [6] for the problem with the Laplacian. The main ingredients are a geometric inequality for stable solutions to (1.1) and a Hardy inequality on the level sets of the function . The first tool is originally due to Sternberg and Zumbrun [29, 30] for the case of the Laplacian. We will use a generalization of this inequality to the -Laplacian case, due to Farina, Sciunzi, and Valdinoci [19, 18] and stated in Theorem 1.4 below.
The Hardy inequality that we use is originally due to Cabré [6], but it can also be deduced from more general Hardy inequalities studied in [10] by Cabré and the author. In order to state these two results, we need to introduce some notation.
If is a solution to (1.1) and we consider the set of regular points of , defined by , then is in this set — see Corollary 2.2 of [15] — since the equation is uniformly elliptic in a neighborhood of every regular point.
Therefore, for any we can define the level set of passing through as
[TABLE]
which is a embedded hypersurface of . In we can define
[TABLE]
which is the normal vector to the level sets of . Now, we can also introduce the notion of tangential gradient along the level sets. We define it for every function as the projection of on the tangent space to the level sets passing through , i.e.
[TABLE]
For any we denote with the principal curvatures of and we recall that the mean curvature of the level sets is defined as
[TABLE]
In the statement of the geometric property of stable solutions, the square of the second fundamental form of the level sets appears. It is defined as
[TABLE]
Now, we can state the geometric inequality for stable solutions to .
Theorem 1.4** (Farina, Sciunzi, Valdinoci [19, 18]).**
Let , be a bounded smooth domain of , a nonlinearity and a regular stable solution to (1.1). Then, for every it holds that
[TABLE]
As we mentioned above, this result is originally due to Sternberg and Zumbrun [29, 30] for stable solutions to in a bounded smooth domain with . In this case, for every , the inequality reads
[TABLE]
The idea of obtaining bounds for stable solutions to using (1.21) was used for the first time in [4]. The key point in [4] is the combination of (1.21) with the Michael-Simon and Allard inequality, applied on every level set of .
A similar but simpler strategy is used in [6], still for the classical problem with the Laplacian. It is based on a new geometric Hardy inequality on the foliation of hypersurfaces given by the level sets of , a much simpler tool than the Michael-Simon and Allard inequality. In the present paper we extend this idea to the case of the -Laplacian. We need both Theorem 1.4 and the new Hardy inequality provided in [6] to prove Proposition 1.3, which is the key estimate to prove Theorem 1.1.
We need to introduce some further notation in order to state the Hardy inequality on hypersurfaces of . For every , we define
[TABLE]
and for every function we write its radial derivative as
[TABLE]
The geometric Hardy inequality is stated in the following theorem. Recall that, in the statement, the mean curvature and the tangential gradient are referred to the level sets of , which are embedded hypersurfaces of for every .
Theorem 1.5** (Cabré [6]).**
Let be a bounded smooth domain, , and . Then, for every
[TABLE]
In particular, if is radial, then
[TABLE]
2. Proof of the bounds
We prove in this section our main results, namely Proposition 1.3 and Theorem 1.1, using the geometric inequality for stable solutions and the Hardy inequality on level sets.
Proof of Proposition 1.3.
We apply the geometric Hardy inequality of Theorem 1.5 to the function
[TABLE]
where is a positive smooth function that satisfies
[TABLE]
To be completely rigorous, in the proof we should use
[TABLE]
instead of , and then let . We omit the details of this simple argument.
To simplify notation, we define
[TABLE]
[TABLE]
Plugging into (1.22), we obtain
[TABLE]
with to be chosen. The tangential gradient of can be computed as
[TABLE]
and the Cauchy-Schwarz inequality gives
[TABLE]
where is a positive universal constant, and will be chosen later. Therefore, we get
[TABLE]
Concerning the last integral in (2.3), we can control it in terms of the -norm of the gradient of in a neighborhood of the boundary of , since has support in . We also use that, since , we have
[TABLE]
Therefore, we deduce the bound
[TABLE]
for some positive constant depending only on , , and . Observe that we need both the upper and the lower bound on since a priori in (2.5) can be greater or smaller than 2.
In the next step, we use that and apply the geometric stability inequality (1.20) in Theorem 1.4. Observe that, to apply it, we need to have instead of in the first term in the right-hand side of (2.3), and no constants in front of the term containing . This will force us to make a bound which differs whether is above or below . For this reason, we distinguish the two cases.
When , we have and from (2.3) we deduce that
[TABLE]
Now, we can control the right-hand side of (2.6) using the geometric stability inequality (1.20) with test function
[TABLE]
The following computations must be done with a regularization of in a small neighborhood of , that we call . Since all terms in the rest of the proof are given by integrable functions, by dominated convergence we can let in all the integrals. For this reason, we directly write the computations with instead of .
Plugging in (1.20) and combining it with (2.6), we obtain
[TABLE]
Using again the Cauchy-Schwarz inequality, there exists a positive universal constant such that
[TABLE]
again for the same that we will choose later. Since we have chosen satisfying (2.1), if we get
[TABLE]
If instead , the same procedure works — including the same choice of test function (2.7) in the stability inequality (1.20) — but we have a difference in the constants. Indeed, in (2.3) we use that . In this way, we can take out of the integral and obtain the right constants to apply the geometric stability inequality (1.20). As a consequence, instead of (2.8) we get
[TABLE]
Summarizing, if satisfies condition (1.17), then we can choose in (2.8) or (2.9) such that
[TABLE]
for some positive constant depending only on , , , and . Finally, using (2.4) and that we can control the integral over with
[TABLE]
proving (1.18).
Let us assume now that is a ball and is strictly positive in . Then Corollary 1.1 of [15] ensures that is radially symmetric and decreasing in the radius . Taking , we have that . Furthermore, and , since is orthogonal to the level sets. In this case, from (2.2) we deduce
[TABLE]
instead of (2.6). Therefore, under the less restrictive assumption (1.19), we obtain (1.18) with in the same way as in the nonradial case. ∎
Proposition 1.3 is the main tool in the proof of the interior estimate (1.14). In the following lemma, we introduce some boundary estimates that we will need to pass from (1.14) to the global bound (1.15) in strictly convex domains.
Proposition 2.1** (Castorina, Sanchón [13]).**
Let be a bounded smooth domain, a positive nonlinearity, and a positive regular solution to (1.2).
If is strictly convex, then there exist positive constants and depending only on the domain , such that for every point with , there exists a set of positive measure for which
[TABLE]
In particular,
[TABLE]
where .
The proof of this lemma — which can be found in [13] — is based on a moving planes procedure for the -Laplacian developed in [15]. For this method to work, the strict convexity assumption about is crucial.
We can now prove our main result.
Proof of Theorem 1.1.
Assume that there exists a nonnegative exponent satisfying (1.17) such that
[TABLE]
The existence of such an exponent depends on the values of and and, in particular, it is ensured when we assume that and satisfy (1.13) — see Appendix A for all the details.
As a consequence of Proposition 1.3, for every we obtain that
[TABLE]
for some constant depending only on , , and .
In the radial case, Proposition 1.3 gives (2.11) with for some nonnegative exponent satisfying the less restrictive condition (1.19). It can be checked that such an an exponent exists whenever and satisfy (1.16) — see Remark A.1 in the appendix.
Summarizing, in both the radial and the nonradial case — under different assumptions on and — we have (2.11) for some nonnegative , and we want to deduce (1.14) and (1.15).
In order to prove the interior bound (1.14), for every point we use Lemma 7.16 of [22] for the set , obtaining
[TABLE]
Here is a positive constant depending only on and , and is the mean of over the set , defined by
[TABLE]
Then, applying the Hölder inequality with exponents and it follows that
[TABLE]
The last integral is bounded, since and
[TABLE]
Now, using (2.11) and (2.12) we can conclude that
[TABLE]
which is (1.14), with depending only on , , and .
Assume now that is strictly convex, is a positive solution of problem (1.2) and is positive in . Then, Proposition 2.1 gives the boundary estimate
[TABLE]
where is a positive constant that depends only on . We use this bound to control in the set . By interior and boundary regularity222See Theorem 1 in [16] or Theorem 1 in [31] for interior regularity in the style of De Giorgi and Theorem 1 in [24] for boundary regularity. See also Appendix E in [26].
for problem (1.2), we deduce stronger estimates in the set , which is contained in . In particular, we have , for some constant which depends only on , , and . Combining this with (2.13) we obtain (1.15), since we also have that
[TABLE]
If is a ball and is strictly positive in , then from Corollary 1.1 of [15] we know that is radially symmetric and decreasing in the radius . Therefore, it is sufficient to estimate . From (2.11) with , we obtain
[TABLE]
Then, proceeding in the same way as in the nonradial case we deduce (1.15). ∎
Appendix A
In this appendix we show the existence of a nonnegative satisfying (1.17) whenever and satisfy (1.13), completing in this way the argument of the proof of Theorem 1.1. We distinguish two cases.
Case 1, . We take333The following argument gives that our condition (1.13) is the optimal one for the existence of some satisfying (1.17). To see this in the case (otherwise it is simple), we may assume , since (1.13) already includes . But then, since we also have and therefore, if (1.17) is satisfied by some , then it is also satisfied by any smaller in this interval. Thus, in the argument, our choice for small imposes non restriction. for some , and we plug it in (1.17), obtaining
[TABLE]
If the inequality holds with , then it also holds for an arbitrary small . In this way, we are reduced to check that whenever and satisfy (1.13), then
[TABLE]
This inequality is cubic in , but quadratic in . Solving it with respect to , and exploiting also a surprising cancellation in the discriminant, we obtain
[TABLE]
Observe that this forces . For , we solve it with respect to and find
[TABLE]
If , both inequalities hold true for every . If instead, the lower bound in (A.2) is always verified, and the upper bound on is the one appearing in (1.13).
Case 2, . In this case, inequality (1.17) reads
[TABLE]
For one can directly check that no nonnegative solutions exist. Indeed, when we can take the square root of (A.3) and check that the solutions are either strictly negative or greater than 1. When instead, (A.3) contradicts the assumption .
For , we are going to see that, for every , there exists a nonnegative satisfying (A.3). For this, it suffices to look for belonging to . We can now take the square root of (A.3) and solve the inequality with respect to . In this way, we find
[TABLE]
and one can easily check that for all , since we are assuming .
Remark A.1**.**
The same ideas — including the same choice of when — can be used to check that in the radial case there exists a nonnegative satisfying (1.19) whenever and satisfy (1.16). The only difference is that in the case we get an inequality which is quadratic in and cubic in , and we can directly solve it with respect to , finding .
Acknowledgments
The author thanks Xavier Cabré for his guidance and useful discussions on the topic of this paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Brezis, H. Is there failure of the Inverse Function Theorem?, in “Morse Theory, Minimax Theory and Their Applications to Nonlinear Differential Equations” , 23-33 , New Stud. Adv. Math., 1, Int. Press, Somerville, MA (2003).
- 2[2] Brezis, H.; Cazenave, T.; Martel Y.; Ramiandrisoa A. Blow up for u t − Δ u = g ( u ) subscript 𝑢 𝑡 Δ 𝑢 𝑔 𝑢 u_{t}-\Delta u=g(u) revisited, Adv. Differential Equations, 1 (1996), 73-90.
- 3[3] Brezis, H.; Vazquez, J. L. Blow-up solutions of some nonlinear elliptic problems, Rev. Mat. Complut. (2) , 10 (1997), 443-469.
- 4[4] Cabré, X. Regularity of minimizers of semilinear elliptic problems up to dimension 4, Comm. Pure Appl. Math. (10) , 63 (2010), 1362-1380.
- 5[5] Cabré, X. Boundedness of stable solutions to semilinear elliptic equations: a survey, Adv. Nonlinear Stud. (2) , 17 (2017), 355-368.
- 6[6] Cabré, X. A new proof of the boundedness results for stable solutions to semilinear elliptic equations, preprint , ar Xiv:1907.05253 v 2 (2019).
- 7[7] Cabré, X.; Capella, A. Regularity of radial minimizers and extremal solutions of semilinear elliptic equations, J. Funct. Anal. , 238 (2006), 709–733.
- 8[8] Cabré, X.; Capella, A.; Sanchón, M. Regularity of radial minimizers of reaction equations involving the p 𝑝 p -Laplacian, Calc. Var. Partial Differential Equations , 34 (2009), 475-494.
