Abstract
In this paper, we establish a sharp weighted Sobolev inequality on the upper half-space. We also discourse existence and nonexistence of minimizer . As an application, we study a quasilinear problem on the upper half-space.
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1 Introduction and main results
1.1 Overview
In the past decades, the inequalities of Sobolev type have played a fundamental role both from the theoretical point of view in calculus of variations as well as from the point of view of applications in the development of many branches of mathematics and physics. In [16], G. Talenti proved the following Gagliardo–Nirenberg–Sobolev inequality: for \(p\in (1,n)\), there exists a constant \(C_0(n,p)>0\) such that
where \(p^*:=\frac{np}{n-p}\) denotes the critical Sobolev exponent and the extremals have the form
In studying boundary value problems in the domain \(\Omega \) instead of the entire space \({\mathbb {R}}^n\), the so-called Sobolev trace inequalities are particularly of importance. For the Euclidean upper half-space
the Sobolev trace embedding states that there exists a constant \(C_1(n,p)>0\) such that
where \(p_*:=\frac{p(n-1)}{n-p}\) denotes the critical Sobolev trace exponent. In [9], some sharp constants related to (1.2) with \(p=2\) have been established by J. Escobar and the extremals are given by the form of
Moreover, the author conjectured that for \(p\in (1,n)\), the Sobolev trace inequality (1.2) admits the similar extremals to the case \(p=2\). This conjecture was shown to be true by B. Nazaret in [15] via a mass transportation method.
1.2 Main purpose and motivation
The main purpose of this present paper is two-folds. First, we aim to obtain some optimal conditions on \(q>0\) and \(\alpha \) to the validity of the weighted anisotropic Sobolev inequality
for some constant \(B_0(n,q,p,\alpha )>0\). It is worthwhile to mention that an important feature of this inequality is the fact that the anisotropic weight function \(w(x',x_n)=(1+x_n)^{-\alpha }\) does not belong to any Lebesgue space \(L^p({\mathbb {R}}^n_+)\). Second, we want to provide some conditions on existence and nonexistence of minimizes to best constants of this inequality.
Remark 1.1
Notice that, the inequality (1.3) holds true for any \(\alpha \geqslant 0\) and \(q=p^*\). Indeed, for any \(u\in C_0^\infty ({\mathbb {R}}^n)\), defining
and performing a straightforward computation we see that \({\tilde{u}}\in C_0^1({\mathbb {R}}^n)\) and there exists a constant \({{\tilde{C}}}={{\tilde{C}}}(n,p)>0\) such that
This, combined with (1.1), applied to \({\tilde{u}}\), yields that
for some \(K_0(n,p)>0\), which clearly implies that (1.3) holds for any \(\alpha \geqslant 0\) and \(q=p^*\).
Remark 1.2
The inequality (1.3) is false on the region
which is enough to assume \(\alpha >0\). To see this, let \(u_0\in C_0^\infty ({\mathbb {R}}^n)\setminus \{0\}\) and define \(u_\lambda (x)=\lambda ^{(n-p)/p}u_0(\lambda x)\) for \(x\in {\mathbb {R}}^n\) and \(\lambda >0\). A straightforward calculation shows that there exists \(C_1>0\) independent of \(\lambda \) such that
and making a change of variables, for any \(\lambda \geqslant 1\) we get
Assume by contradiction that the inequality holds. Then, in particular, for some \(C_2>0\) we have
if \(q>p^*\) and \(\lambda \rightarrow +\infty \) we reach a contradiction and hence the inequality is false for all \(q>p^*\) and \(\alpha >0\).
Remark 1.3
The inequality (1.3) also is false on the region
To see this, is sufficient to assume \(\alpha >1\). Consider a function \(\phi \in C_0^\infty ({\mathbb {R}}^n)\) such that \(\phi (x)=1\) for \(|x|\leqslant 1\) and \(\phi (x)=0\) for \(|x|\geqslant 2\). Let us define \(\phi _t(x)=\phi (x/t)\) for \(x\in {\mathbb {R}}^n\) and \(t>0\). A straightforward calculation shows that there are constants \(C_1,C_2>0\) independent of t such that
and
Hence, if the inequality (1.3) holds we have
for t large and any \(\alpha >1\). In particular, if \(q<p_*\) we obtain a contradiction by letting \(t\rightarrow +\infty \).
We also mention that Hardy–Sobolev type inequalities on the upper-half space appear in many papers, see for instance, [7, 10, 11, 14, 17] and references therein. In [7] Chen–Li proved the inequality
where \(2^*(\alpha )=2(n-\alpha )/(n-2)\) for all \(\alpha \in (0,2]\). In fact, in all these papers the inequalities are derived for functions \(u\in C_0^\infty ({\mathbb {R}}^n_+)\).
Finally, we observe that an inspection in Remark 1.2 shows that inequality (1.3) does not hold for \(p=n\) and \(\alpha >1\). Indeed, in this case there are constants \(C_1>0\) and \(C_2>0\) such that
which yields that
For a related inequality when \(q=n\), we refer the reader to [1].
1.3 Main results
Motivated by the mentioned papers and the previous Remarks, a natural question is
A complete answer is given below concerning this specifically issue. To this purpose, we will borrow some idea from [6, Proposition 3.5] and [11, Thorem 1], see also [8] for \(p=2\). In this context, our first main result reads as follows.
Theorem 1.1
Let \(1<p<n\) and \(\alpha >1\). Then there exists \(C=C(n,\alpha ,p)>0\) such that
Furthermore, the power \(\alpha >1\) is optimal in the sense that this inequality is false for any \(\alpha \leqslant 1\).
Let \(1<p<n\) and \(\alpha >1\). Since \((1+x_n)^{\alpha }\geqslant 1\) for \(x_n\ge 0\), by inequality (1.4) we see that
Thus, by interpolating this inequality with (1.5), for all \(q\in [p_*,p^*]\) it holds that
for some constant \(C=C(n,\alpha ,p,q)>0\). In fact, we have an improvement of (1.6). Precisely, defining the function
we see that \(\alpha (p_*)=1\), \(\alpha (p^*)=0\) and the following result holds:
Corollary 1.1
Let \(1< p<n\). Then the inequality (1.6) holds true on the region
and is false on the region
For a better comprehension we present a graphic that corresponds the regions obtained in the previous results.
As another consequence of Theorem 1.1, we derive an inequality with exponential weight that was proved and used in [6] to study the asymptotic profile of ground state of a Henon equation with Neumann boundary conditions when \(p=2\). In fact, for any \(\tau >0\) and \(\alpha >1\), there exists \(C_0=C_0(\tau ,\alpha )>0\) such that
Thus, as a consequence of inequality 1.6, we have
Corollary 1.2
Let \(1<p<n\) and \(\tau >0\). Then, for any \(q\in [p_*,p^*]\) there exists \(C_1=C_1(\tau ,q,p)\) such that
Furthermore, the condition \(q\geqslant p_*\) is necessary.
Next, denote by \(C_\delta ^\infty ({\mathbb {R}}^n_+)\) the space of \(C_0^\infty ({\mathbb {R}}^n)-\)functions restricted to \({\mathbb {R}}^n_+\). For \(1<p<n\) we define the Sobolev space E as the completion of \(C_\delta ^\infty ({\mathbb {R}}^n_+)\) with respect to the norm
In view of Corollary 1.1, we have the following embedding result.
Corollary 1.3
Let \(1<p<n\). Then the weighted Sobolev embedding
is continuous, for all pair \((q,\alpha )\in {\mathcal {R}}_3\).
This paper is organized as follows. In Sect. 2, we give the proofs of Theorem 1.1 and Corollary 1.1. Section 3 is devoted to existence and nonexistence of minimizers for the best constant in inequality (1.5). In Sect. 4, as an application of inequality (1.5), we investigate the existence of solutions to a quasilinear elliptic equation in the upper half-space with Neumann boundary condition. In Sect. 5, some open questions are given.
2 Proofs of Theorem 1.1 and Corollary 1.1
Proof of Theorem 1.1
Let \(v\in C_0^\infty ({\mathbb {R}}^n)\) and \(\sigma \in {\mathbb {R}}\) with \(\sigma \ne -1\). Integrating by parts one has
where we used that the unit outward normal on the boundary \({\mathbb {R}}^{n-1}\) is \(\nu =(0',-1)\). Thus,
Applying this inequality with \(v=|u|^q\) for \(u\in C_0^\infty ({\mathbb {R}}^n)\), \(q>1\) and using that \(\sigma +1<0\) we obtain
Now, choosing \(q=p_*\) and using the trace inequality (1.2) we obtain \(C_1(n,p)>0\) such that
On the other hand, by using the Hölder inequality and (1.4) it follows that
Combining inequalities (2.1), (2.2) and (2.3) we conclude that
Thus, choosing \(\alpha =-\sigma >1\), we obtain
which is the desired inequality.
Next we shall prove that (1.5) is false for any \(\alpha \leqslant 1\). To this end, it is enough to consider \(\alpha =1\). Let \(\phi \in C_0^\infty ({\mathbb {R}}^n)\) such that \(\phi (x)=1\) for \(|x|\leqslant 1\) and \(\phi (x)=0\) for \(|x|\geqslant 2\). For any \(t>0\), we define \(\phi _t(x)=\phi (x/t)\) for all \(x\in {\mathbb {R}}^n\). A straightforward calculation shows that there are constants \(C_1,C_2>0\) independent of t such that
and using that \(|(x',x_n)|\leqslant t\) if \(x_n\leqslant t/\sqrt{2}\) and \(|x'|\leqslant t/\sqrt{2}\), we conclude that
Now, assume by contradiction that (1.5) holds true. Then, we have
which is a contradiction since the right-hand side of the last inequality goes to zero as \(t\rightarrow \infty \) and this completes the proof of Theorem 1.1. \(\square \)
Proof of Corollary 1.1
If \(q=p_*\) this result is exactly Theorem 1.1. When \(q=p^*\), inequality (1.6) was proved in Remark 1.1. For each \(q\in (p_*,p^*)\) it holds that
From Hölder’s inequality, ones has that
Now take into account that \({\alpha }/{\theta }>\alpha (q)/\theta =1\), Theorem 1.1 and inequality (1.4) yield hat
which is the desired inequality. Next we will prove that inequality (1.6) is false for all \(0<\alpha <\alpha (q)\) with \(q\in (p_*,p^*)\). For this purpose, let \(u\in C_0^\infty ({\mathbb {R}}^n)\setminus \{0\}\) and define \( u_\lambda (x):= u(\lambda x)\) for \( x \in {\mathbb {R}}^n_+ \) and \(\lambda \in (0,1]\). It is easy to see that there are constants \(C_1,C_2>0\), independent of \(\lambda \), such that
and using that \(0<\lambda \leqslant 1\), after a change of variables we obtain
Now, assume by contradiction that (1.6) holds true. Then, we have
If \(0<\alpha <\alpha (q)\) we obtain a contradiction by taking \(\lambda \rightarrow 0.\) To finish, we will prove that inequality (1.6) is false when \(q=p^*\) and \(\alpha <\alpha (p^*).\) For this purpose, let \(u\in C_0^\infty ({\mathbb {R}}^n)\setminus \{0\}\) and define \( u_\lambda (x):= u(\lambda x)\) for \( x \in {\mathbb {R}}^n_+ \) and \(\lambda >0\). It is easy to check that there exists a constant \(C_1,C_2>0\), independent of \(\lambda \), such that
and for all \(\alpha \leqslant 0\) we have
Hence, if the inequality holds we have
In particular, if \(\alpha <\alpha (p^*)\) and \(q=p^*\) we obtain a contradiction by taking the limit as \(\lambda \rightarrow 0,\) and this finishes the proof. \(\square \)
3 Existence and nonexistence of minimizers
In this section, we analyze existence and nonexistence of minimizers for the best constant in inequality (1.6). Precisely, we consider the variational problem
Notice that \(l(q,\alpha )\) is positive if and only if (1.6) holds and further \(C=1/l(q,\alpha )\).
For \(q=p_*\), we have the following nonexistence result of minimizers.
Theorem 3.1
Assume \(1<p<n\) and \(\alpha =2\). Then \(l(q,\alpha )\) has no minimizer for \(q=p_*\).
To prove Theorem 3.1 we requires two technical lemmas. For every \(\varepsilon > 0\), the functions
are minimizers of the best constant in the trace inequality (1.2), i.e.,
and solves the quasilinear elliptic problem
Moreover, if we define
where \(I:E\rightarrow {\mathbb {R}}\) is the functional energy associated to problem (3.1)
by using a simple calculation we see that
Furthermore, the following characterization holds true
The next result allows us to compare the energy of minimizers of the best constants \(C_1\) and C in the inequalities (1.2) and (1.5), respectively.
Lemma 3.1
Assume \(1<p<n\) and \(\alpha \geqslant 2\). Let \(w\in E\) be a least energy solution of
Then the following estimate holds:
Proof
Suppose by contradiction that there exists a solution w of (3.2) with
Let \(w^*\) be the Steiner symmetrization of |w| with respect to \(x'\in {\mathbb {R}}^{n-1}\). Then, \(w^*\in E\) and by [5, Proposition 3.1], we see that for any \(t > 0\), \(J(tw^*) \leqslant J(tw)\) and hence
Using integration by parts we see that
which implies that
where in the last inequality we used that \(\alpha \geqslant 2\). Since \(\max _{ t>0}I(tw^*)\geqslant m\) and \(\frac{\partial w^*}{\partial x_n} \leqslant 0\), we conclude that \(\int _{{\mathbb {R}}^n_+} \frac{|w^*|^{p_*-1}}{(1+x_n)^{\alpha -1}}\frac{\partial w^*}{\partial x_n}dx= 0\), which implies that \(\frac{\partial w^*}{\partial x_n} =0\) on \({\mathbb {R}}^n_+\) and \(\max _{ t>0}I(tw^*)=m\). It follows that for some \(t^*>0\) such that \(t^*w^*\) is a least energy solution to (3.1). Then
and \(w^*=0\) on \({\mathbb {R}}^{n-1}\). Due to \(\frac{\partial w^*}{\partial x_n} =0\) on \({\mathbb {R}}^n_+\), \(w^*\equiv 0\) on \({\mathbb {R}}^n_+\), which contradicts the fact that \(m>0\). \(\square \)
Another ingredient in the proof of Theorem 3.1 is the following estimate.
Lemma 3.2
If \(\alpha \le 2\), then
Proof
By using a straightforward computation, one has
On the other hand, we have
Therefore, to conclude the proof, it is enough to prove that
To this purpose, we observe that by using polar coordinates we obtain
and
Then we have that
Applying the Lebesgue Dominate Convergence Theorem, we obtain
proving the claim and this concludes the proof. \(\square \)
Proof of Theorem 3.1
Assume by contradiction that \(l(p_*,\alpha )\) has a minimizer \(u_0\), which is a least energy solution of problem (3.2), then
which is a contradiction and this completes the proof. \(\square \)
When \(q\in (p_*,p^*)\), we have the following result of existence on minimizers.
Theorem 3.2
Assume \(1<p<n\) and \(\alpha >1\). Then, \(l(q,\alpha )\) has a minimizer for every \(q\in (p_*,p^*)\).
Proof
The proof is similar to [6]. For the sake of completeness, we give the details. By the Steiner symmetrization, we see that
where
Let \(\{\phi _l\}\subset {\mathcal {D}}^{1,p}_r({\mathbb {R}}^n_+)\cap C_0^\infty ({\mathbb {R}}^n)\) be a minimizing sequence of \(l(q,\alpha )\). We may assume that \(supp (\phi _l)\subset B(0,R_l)\) with \(R_1<R_2<\cdots<R_l<\cdots \) and \(\lim _{l\rightarrow \infty }R_l=\infty .\) We define
We may take a better minimizing sequence \(\{u_l\}\) of \(l(q,\alpha )\) such that \(u_l\) is a minimizer of
we may assume that
Then, we see that
By the moving plane method, we see that \(u_l\in {\mathcal {D}}^{1,p}_r({\mathbb {R}}^n_+)\) and \(u_l(0) > u_l(x)\) for any \(x\not = 0\). Then, applying the standard blow up argument, we see that \(\{\Vert u_l\Vert _{L^\infty }\}\) is bounded. Since
by Proposition 2.3 in [6], we deduce that \(\{\Vert u_l\Vert _{L^\infty }\}\) is bounded away from 0. Taking a subsequence, if necessary, we may assume that
\(u_l\) converges weakly to some \(u_0\) in \({\mathcal {D}}^{1,p}_r({\mathbb {R}}^n_+)\) and \(u_l \rightarrow u_0\) in \(C^2({\mathbb {R}}^n_+\cap B(0, R))\) for each \(R > 0\).
Furthermore, we see that the limit \(u_0 \in {\mathcal {D}}^{1,p}_r({\mathbb {R}}^n_+)\) is a solution of
From the standard regularity theory, we see that \(\{\Vert u_l\Vert _{C^1(R_n^+\cap B(0, R_l))}\}\) is bounded. Since \(\{\int _{{\mathbb {R}}^n_+}a(x)|u_l|^q\}_l\) is bounded, we deduce that \(\lim _{|x'|\rightarrow \infty } u_l(x', 0) = 0\) uniformly for \(l \geqslant 1\). For each \(x'\in {\mathbb {R}}^{n-1}\cap B(0, R_l),\) we get
Thus, we see that for some \(C > 0\), independent of \(l \geqslant 1\) and \(D >0\),
By Theorem 1.1, we have that
This means that
uniformly for \(l \geqslant 1\), which implies that
Since
we see that \(u_0\) is a minimizer of \(l(\alpha ,q)\) and this completes the proof. \(\square \)
4 Application
In this section, with the purpose to illustrate an application of inequality (1.5), motivated by the works [12, 13], where the authors have consider quasilinear elliptic problem with Robin boundary conditions on the upper-half space, we investigate the existence of solutions to the following quasilinear elliptic equation with Neumann boundary condition and involving anisotropic weight:
where \(1<q< p<n\), \(\nu \) denotes the unit outward normal on the boundary, \(\lambda >0\) is a parameter and the weight function \(b:{\mathbb {R}}^n_+\rightarrow {\mathbb {R}}\) is a positive continuous function satisfying the assumption
where \(a(x)=(1+x_n)^{-\alpha }\) for \(\alpha >1\).
Remark 4.1
We quote that assumption (4.1) is inspired by the one in the paper [2] and we can check that the function \(b(x)=1/(1+x_n)^\frac{\alpha q}{p_*}(1+|x|)^\theta \) with \(\theta > n(p_*-q)/q\) satisfies the assumption (4.1). In fact, if \(\theta > n(p_*-q)/q\) one has
By carrying out a direct minimization argument similar in the spirit as those in [3, 4] we are able to prove the following result.
Theorem 4.1
Let \(1<q<p<n\) and assume that (4.1) holds. Then there exists \(\lambda ^*>0\) such that problem (\(\mathcal {P_{\lambda }}\)) possesses at least a nonzero weak solution for all \(\lambda \in (0,\lambda ^*)\).
Here, by a weak solution of problem (\(\mathcal {P_{\lambda }}\)), we mean a nontrivial function \(u\in E\) verifying
To prove Theorem 4.1 we shall need the following result.
Lemma 4.1
Assume that (4.1) holds. Then the weighted Sobolev embedding \(E\hookrightarrow L^q\left( {\mathbb {R}}^n_+,b\right) \) is continuous and compact.
Proof
Notice that by the Hölder inequality
Thus, by Theorem 1.1 and hypothesis (4.1) we conclude that the embedding \(E\hookrightarrow L^q\left( {\mathbb {R}}^n_+,b\right) \) is continuous. We claim that, up to a subsequence, \(u_k\rightarrow 0\) strongly in \(L^q({\mathbb {R}}^n_+,b)\) whenever \(u_k\rightharpoonup 0\) weakly in E. Indeed, for \(R>0\) to be chosen later on, we can write
where \(B_R^+={\mathbb {R}}^n_+\cap B_R\). Since the restriction operator \(u\mapsto u_{\mid _{B_R^+}}\) is continuous from E into \(E(B_R^+):=\left\{ v_{\mid _{B_R^+}}\, :\, v\in E \right\} \) and the embedding \(E(B_R^+)\hookrightarrow L^q(B_R^+,b)\) is compact, for any \(\varepsilon >0\) there exists \(k_1\in {\mathbb {N}}\) such that for any \(1<q\leqslant p_*\)
On the other hand, by using the Hölder inequality and the fact that \((u_k)\) is bonded in E, we can invoke assumption (4.1) to choose \(R>0\) large enough such that
This combined with (4.2) and (4.3) imply the desired convergence. \(\square \)
In view of Lemma 4.1 the energy functional associated to problem (\(\mathcal {P_{\lambda }}\)), \(I_\lambda :E\rightarrow {\mathbb {R}}\) given by
is well defined and of \(C^1\) class. Furthermore, standard arguments show that critical points of \(I_\lambda \) are weak solutions of problem (\(\mathcal {P_{\lambda }}\)) and reciprocally.
Lemma 4.2
Let \(1<q<p<n\) and assume (4.1). Then there exists \(\lambda ^*>0\) such that for all \(0<\lambda <\lambda ^*\) the following statements hold:
-
(i)
there are \(\gamma , \rho >0\) such that \(I_\lambda (u)\geqslant \gamma \) if \(\Vert u\Vert _E=\rho \);
-
(ii)
\(I_\lambda (tu_0)<0\) for any \(u_0\in E\setminus \{0\}\) and \(t>0\) small enough.
Proof
It follows from Lemma 4.1 and inequality (1.4) that
where \(\rho =\Vert u\Vert >0\). Since \(q<p<p^*\), one can choose \(\rho >0\) such that \(\frac{1}{p}\rho ^{p-q}- \frac{C}{p}\rho ^{p^*-q}>\frac{1}{2p}\rho ^{p-q}\). Thus, for \(0<\lambda <\frac{1}{2pC}\rho ^{p-q}\), there exists \(\gamma _\lambda >0\) in order that
where \(\gamma _\varepsilon =\left( \frac{1}{2p}\rho ^{p-q}-\frac{\lambda C}{q}\right) \rho ^{p-q}\), and assertion (i) is proved.
Since \(q<p<p^*\), for any \(u_0\in E\setminus \{0\}\) one has
for \(t>0\) small enough and this proves assertion (ii). \(\square \)
Proof of Theorem 4.1
By Lemma 4.2 we see that
By applying the Ekeland variational principle we get a sequence \((u_n)\subset E\) such that
where \(E^*\) denotes the dual space of E. Since \((u_n)\) is bounded, up to a subsequence, we may assume that \(u_n\rightharpoonup u\) weakly in E. By using standard arguments we see that u is a weak solution. We claim that u is nontrivial. In fact, defining \(l:=\lim _{n\rightarrow \infty }\Vert \nabla u_n\Vert \geqslant 0\), from (4.4) and the compact embedding \(E\hookrightarrow L^q({\mathbb {R}}^n_+,b)\) we obtain
Thus, using again (4.4) we conclude that
which is a contradiction and this completes the proof. \(\square \)
5 Final comments
In this section we raise some questions related our results that have been of interest by many authors in different contexts.
Question 1
The question of optimal constants and attainability has been the subject of many papers, see for instance [9, 15, 16] and references therein. In this context, it is very important to investigate the optimality and attainability of the constant \(C(n,\alpha ,p)\) in Theorem 1.1. \(\square \)
Question 2
In view of Theorem 1.1 and Corollary 1.2 it is natural to ask if the weight function \((1+x_n)^{-\alpha }\) is optimal in the sense that, if \(w:{\mathbb {R}}^n_+\rightarrow {\mathbb {R}}\) verifies the inequality in Theorem 1.1 then there are constants \(\alpha > 1\) and \(c_3 > 0\) such that
\(\square \)
Question 3
Is inequality (1.6) true or false for \(\alpha =\alpha (q)\) with \(q\in (p_*,p^*)\)? \(\square \)
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This article is part of the section “Theory of PDEs” edited by Eduardo Teixeira.
J. Zhang was supported by NSFC (No.11871123).
D. Felix was partially supported by CNPq/Brazil.
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Zhang, J., Felix, D. & Medeiros, E. On a sharp weighted Sobolev inequality on the upper half-space and its applications. Partial Differ. Equ. Appl. 3, 30 (2022). https://doi.org/10.1007/s42985-022-00165-4
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DOI: https://doi.org/10.1007/s42985-022-00165-4