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Two positive solutions for quasilinear elliptic equations with singularity and critical exponents
Boundary Value Problems volume 2018, Article number: 97 (2018)
Abstract
In this paper, we consider the quasilinear elliptic equation with singularity and critical exponents
where \(\Delta_{p}= \operatorname {div}(|\nabla u|^{p-2}\nabla u)\) is a p-Laplace operator with \(1< p< N\). \(p^{*}(t):=\frac{p(N-t)}{N-p}\) is a critical Sobolev–Hardy exponent. We deal with the existence of multiple solutions for the above problem by means of variational and perturbation methods.
1 Introduction and preliminaries
The main goal of this paper is to consider the following singular boundary value problem:
where Ω is a bounded domain in \(\mathbb{R}^{N}\), \(\Delta_{p}= \operatorname {div}( \vert \nabla u \vert ^{p-2}\nabla u)\) is a p-Laplace operator with \(1< p< N\). \(\lambda >0\), \(0< s<1\), \(0\leq t< p\), and \(0\leq \mu <\bar{ \mu }:=(\frac{N-p}{p})^{p}\). \(p^{*}(t):=\frac{p(N-t)}{N-p}\) is a critical Sobolev–Hardy exponent, \(Q(x)\in C(\overline{\Omega })\) and \(Q(x)\) is positive on Ω̅.
In recent years, the elliptic boundary value problems with critical exponents and singular potentials have been extensively studied [2, 6, 7, 10–23, 25, 26, 28, 30–34]. In [19], Han considered the following quasilinear elliptic problem with Hardy term and critical exponent:
where \(1< p< N\). The existence of multiple positive solutions for (1.2) was established. Furthermore, Hsu [21] studied the following quasilinear equation:
where \(1< q< p< N\). We should point out that the authors of [19, 21] both investigated the effect of \(Q(x)\). If \(p=2\), \(\mu =0\), and \(t=0\), Liao et al. [27] proved the existence of two solutions for problem (1.1) by the constrained minimizer and perturbation methods.
Compared with [2, 4, 8, 12, 19, 21, 22, 29], problem (1.1) contains the singular term \(\lambda u^{-s}\). Thus, the functional corresponding to (1.1) is not differentiable on \(W_{0}^{1,p}(\Omega )\). We will remove the singularity by the perturbation method. Our idea comes from [24, 27].
Definition 1.1
A function \(u\in W_{0}^{1,p}(\Omega )\) is a weak solution of problem (1.1) if, for every \(\varphi \in W_{0}^{1,p} ( \Omega )\), there holds
The energy functional corresponding to (1.1) is defined by
Throughout this paper, Q satisfies
- \((Q_{1})\) :
-
\(Q(0)=Q_{M}=\max_{x\in \overline{\Omega }}Q(x)\) and there exists \(\beta \geq p(b(\mu )-\frac{N-p}{p})\) such that
$$ Q(x)-Q(0)=o \bigl( \vert x \vert ^{\beta } \bigr), \quad \text{as } x \rightarrow 0, $$where \(b(\mu )\) is given in Sect. 1.
In this paper, we use the following notations:
-
(i)
\(\Vert u \Vert ^{p}= \int_{\Omega } ( \vert \nabla u \vert ^{p}-\mu \frac{ \vert u \vert ^{p}}{ \vert x \vert ^{p}} ) \,dx\) is the norm in \(W_{0}^{1,p}(\Omega )\), and the norm in \(L^{p}(\Omega )\) is denoted by \(\vert \cdot \vert _{p}\);
-
(ii)
\(C,C_{1},C_{2},C_{3},\ldots \) denote various positive constants;
-
(iii)
\(u^{+}_{n} (x)=\max \{u_{n},0\}\), \(u^{-}_{n} (x)=\max \{0,-u _{n}\}\);
-
(iv)
We define
$$ \partial B_{r}= \bigl\{ u \in W_{0}^{1,p}(\Omega ): \Vert u \Vert =r \bigr\} , \quad\quad B_{r}= \bigl\{ u \in W_{0}^{1,p}(\Omega ): \Vert u \Vert \leq r \bigr\} . $$Let S be the best Sobolev–Hardy constant
$$ S:=\inf_{u\in W^{1,p}_{0}(\Omega )\backslash \{0\}}\frac{ \int_{\Omega }( \vert \nabla u \vert ^{p}-\mu \frac{ \vert u \vert ^{p}}{ \vert x \vert ^{p}})\,dx}{ ( \int_{\Omega }\frac{ \vert u \vert ^{p^{*}(t)}}{ \vert x \vert ^{t}}\,dx ) ^{\frac{p}{p^{*}(t)}}}. $$(1.4)
Our main result is the following theorem.
Theorem 1.1
Suppose that \((Q_{1})\) is satisfied. Then there exists \(\Lambda >0\) such that, for every \(\lambda \in (0,\Lambda )\), problem (1.1) has at least two positive solutions.
The following well-known Brézis–Lieb lemma and maximum principle will play fundamental roles in the proof of our main result.
Proposition 1.1
([3])
Suppose that \({u_{n}}\) is a bounded sequence in \(L^{p}(\Omega )\) (\(1\leq p<\infty \)), and \(u_{n}(x)\rightarrow u(x)\) a.e. \(x \in \Omega \), where \(\Omega \subset \mathbb{R}^{N}\) is an open set. Then
Proposition 1.2
([23])
Assume that \(\Omega \subset \mathbb{R} ^{N}\) is a bounded domain with smooth boundary, \(0\in \Omega \), \(u\in C^{1} (\Omega \backslash \{0\})\), \(u\geq 0\), \(u\not \equiv 0\), and
Then \(u>0\) in Ω.
By [22, 23], we assume that \(1< p< N\), \(0\leq t< p\), and \(0\leq \mu <\overline{ \mu }\). Then the limiting problem
has positive radial ground states
that satisfy
where the function \(U_{p,\mu }(x)=U_{p,\mu }( \vert x \vert )\) is the unique radial solution of the above limiting problem with
and
where \(c_{i}\) (\(i=1, 2, 3, 4\)) are positive constants depending on N, μ, and p, and \(a(\mu )\) and \(b(\mu )\) are the zeros of the function
satisfying \(0\leq a(\mu )<\nu <b(\mu )\leq \frac{N-p}{p-1}\).
Take \(\rho >0\) small enough such that \(B(0,\rho )\subset \Omega \), and define the function
where \(\eta \in C_{0}^{\infty }(\Omega )\) is a cutoff function
The following estimates hold when \(\epsilon \longrightarrow 0\):
2 Existence of the first solution of problem (1.1)
In this section, we will get the first solution which is a local minimizer in \(W_{0}^{1,p} (\Omega )\) for (1.1).
Lemma 2.1
There exist \(\lambda_{0}>0\), \(R, \rho >0\) such that, for every \(\lambda \in (0,\lambda_{0})\), we have
Proof
We can deduce from Hölder’s inequality that
where \(C_{0}\) is a positive constant. Put \(f(x)=\frac{1}{p}x^{-1+s+p}-\frac{1}{p ^{*} (t)}Q_{M} S^{-\frac{p^{*} (t)}{p}}x^{-1+s+p^{*} (t)}\), we find that there is a constant \(R= [ \frac{p^{*} (t)S^{\frac{p^{*} (t)}{p}}(-1+s+p)}{pQ _{M} (-1+s+p^{*} (t))} ] ^{\frac{1}{p^{*} (t)-p}}>0\) such that \(f(R)=\max_{x>0}f(x)>0\). Letting \(\lambda_{0} =\frac{(1-s)f(R)}{C _{0}}\), we have that there is a constant \(\rho >0\) such that \(I_{\lambda ,\mu }(u)| _{u\in \partial B_{R}}\geq \rho \) for every \(\lambda \in (0, \lambda_{0})\).
For given R, choosing \(u\in B_{R}\) with \(u^{+}\neq 0\), we have
since \(p^{*} (t)>p>1>s>0\) for \(0\leq t< p\). For all \(u^{+}\neq 0\) such that \(I_{\lambda ,\mu }(ru)<0\) as \(r\rightarrow 0\), that is, \(\Vert u \Vert \) sufficiently small, we have
The proof of Lemma 2.1 is completed. □
Theorem 2.2
Problem (1.1) has a positive solution \(u_{1}\in W^{1.p}_{0}(\Omega )\) with \(I_{\lambda ,\mu }(u_{1})<0\) for \(\lambda \in (0,\lambda_{0})\), where \(\lambda_{0}\) is defined in Lemma 2.1.
Proof
By Lemma 2.1, we have
From (2.1) we guarantee that there exists a minimizing sequence \(\{u_{n}\}\subset B_{R}\) such that \(\lim_{n\rightarrow \infty }I _{\lambda ,\mu }(u_{n})=\Gamma <0\). Obviously, the minimizing sequence is a closed convex set in \(B_{R}\). Going if necessary to a sequence still called \(\{u_{n}\}\), there exists \(u_{1}\in W_{0}^{1,p}(\Omega )\) such that
and
For \(s\in (0,1)\), applying Hölder’s inequality, we obtain that
thus,
Let \(\omega_{n}=u_{n}-u_{1}\), by the Brézis–Lieb lemma, one has
Noting that \(\Vert u_{1} \Vert ^{p} = \vert \nabla u_{1} \vert _{p}^{p} -\mu \vert u_{1} /x \vert _{p} ^{p} \), we have that
If \(u_{1}=0\), then \(\omega_{n}=u_{n}\), it follows that \(\omega_{n} \in B_{R}\). If \(u_{1}\neq 0\), from (2.2), we derive that
Consequently, \(\Gamma \geq I_{\lambda ,\mu }(u_{1})\) as \(n\rightarrow \infty \). Since \(B_{R}\) is convex and closed, so \(u_{1}\in B_{R}\). We get that \(I_{\lambda ,\mu }(u_{1})=\Gamma <0\) from (2.1) and \(u_{1}\not \equiv 0\). It means that \(u_{1}\) is a local minimizer of \(I_{\lambda ,\mu }\).
Now, we claim that \(u_{1}\) is a solution of (1.1) and \(u_{1}>0\). Letting \(r>0\) small enough, and for every \(\varphi \in W^{1.p}_{0}(\Omega )\), \(\varphi \geq 0\) such that \((u_{1}+r\varphi )\in B_{R}\), one has
Next we prove that \(u_{1}\) is a solution of (1.1). According to (2.8), we have
Dividing by \(r>0\) and taking limit as \(r\rightarrow 0^{+}\), we have
However,
where \(\xi \longrightarrow 0^{+}\) and \(\lim_{r\rightarrow 0^{+}}((u _{1}+\xi r \varphi )^{+})^{-s}\varphi =(u_{1}^{+})^{-s}\varphi\) (\(\xi \rightarrow 0^{+}\)) a.e. \(x \in \Omega \). Since \(((u_{1}+\xi r \varphi )^{+})^{-s}\varphi \geq 0\). By Fatou’s lemma, we obtain that
Hence, from (2.9), we obtain that
for \(\varphi \geq 0\). Since \(I_{\lambda ,\mu }(u_{1})<0\), combining with Lemma 2.1, we can derive that \(u_{1} \notin \partial B_{R}\), thus \(\Vert u_{1} \Vert < R\). There exists \(\delta_{1}\in (0,1)\) such that \((1+\theta )u_{1}\in B_{R}\) (\(\vert \theta \vert \leq \delta_{1}\)). Let \(h(\theta )=I_{\lambda ,\mu }((1+\theta )u_{1})\). Apparently, \(h(\theta )\) attains its minimum at \(\theta =0\). Note that
Furthermore,
Define \(\Psi \in W_{0}^{1,p}(\Omega )\) by
where \((u_{1}^{+}+t\psi )^{+}=\max \{u_{1}^{+}+t\psi ,0\}\). We deduce from (2.10) and (2.11) that
Since the measure of \(\{x\mid u_{1}^{+} +\varepsilon \psi \leq 0\}\rightarrow 0\) as \(\varepsilon \rightarrow 0\), we have
Dividing by ε and letting \(\varepsilon \rightarrow 0^{+}\) in (2.12), we deduce that
Since \(\psi \in W^{1.p}_{0}(\Omega )\) is arbitrary, replacing ψ with −ψ, we have
which implies that \(u_{1}\) is a weak solution of problem (1.1). Putting the test function \(\psi =u_{1} ^{-}\) in (2.13), we obtain that \(u_{1} \geq 0\). Noting that \(I_{\lambda ,\mu }(u_{1})=\Gamma <0\), then \(u_{1}\not \equiv 0 \). In terms of the maximum principle, we have that \(u_{1}>0\), a.e. \(x\in \Omega \).
The proof of Theorem 2.2 is completed. □
3 Existence of a solution of the perturbation problem
In order to find another solution, we consider the following problem:
where \(\gamma >0\) is small. The solution of (3.1) is equivalent to the critical point of the following \(C^{1}\)-functional on \(W^{1,p}_{0}( \Omega )\):
For every \(\varphi \in W_{0}^{1,p}(\Omega )\), the definition of weak solution \(u\in W^{1,p}_{0}(\Omega )\) gives that
Lemma 3.1
For \(R, \rho >0\), suppose that \(\lambda <\lambda _{0}\), then \(I_{\gamma }\) satisfies the following properties:
-
(i)
\(I_{\gamma }(u)\geq \rho >0\) for \(u\in \partial B_{R}\);
-
(ii)
There exists \(u_{2}\in W^{1,p}_{0}(\Omega )\) such that \(\Vert u_{2} \Vert >R\) and \(I_{\gamma }(u_{2})<\rho \),
where R, ρ, and \(\lambda_{0}\) are given in Lemma 2.1.
Proof
(i) By the subadditivity of \(t^{1-s}\), we have
which leads to
Hence, if \(\lambda <\lambda_{0}\) for \(\rho , \lambda_{0}>0\), we can obtain the conclusion from Lemma 2.1.
(ii) \(\forall u^{+} \in W^{1.p}_{0}(\Omega )\), \(u^{+}\neq 0\) and \(r>0\), which yields
Therefore, there exists \(u_{2}\) such that \(\Vert u_{2} \Vert >R\) and \(I_{\gamma }(u_{2})<\rho \).
This completes the proof of Lemma 3.1. □
Lemma 3.2
Assume that \(0<\gamma <1\). Then \(I_{\gamma }\) satisfies the \((PS)_{c}\) condition with \(c<\frac{(p-t)}{p(N-t)}\frac{S ^{\frac{N-t}{p-t}}}{Q^{\frac{N-p}{p-t}}_{M}}-D\lambda^{ \frac{p}{p+s-1}}\), where
Proof
Choose \(\{\tau_{n}\}\subset W^{1,p}_{0}(\Omega )\) satisfying
We assert that \(\{\tau_{n}\}\) is bounded in \(W_{0}^{1,p}(\Omega )\). Otherwise, we assume that \(\lim_{n\rightarrow \infty } \Vert \tau_{n} \Vert \rightarrow \infty \). By (3.4), we have
The last inequality is absurd thanks to \(0<1-s<1\). That is, \(\{\tau_{n}\}\) is bounded in \(W_{0}^{1,p}(\Omega )\). Hence, up to a sequence, there exists a subsequence, still called \(\{\tau_{n}\}\). We assume that there exists \(\{\tau_{1}\}\in W_{0}^{1,p}(\Omega )\) such that
Since
it follows from the dominated convergence theorem that
Furthermore, by \(\vert \tau_{1} \vert (\tau_{n}^{+} +\gamma )^{-s}\leq \vert \tau_{1} \vert \gamma^{-s}\), and applying the dominated convergence theorem again, we have
Thus, we deduce that
Now we prove that \(\tau_{n}\rightarrow \tau_{1}\) strongly in \(W_{0}^{1,p}(\Omega )\). Set \(\omega_{n}=\tau_{n}-\tau_{1}\). Since \(I^{\prime}_{\lambda ,\mu }(\tau_{n})\rightarrow 0\) in \((W_{0}^{1,p}( \Omega ))^{*}\), we have
According to the Brézis–Lieb lemma, together with (3.4), we have
and
Thus
Sobolev’s inequality implies that
Consequently, \(l\geq S(\frac{l}{Q_{M}})^{\frac{p}{p^{*}(t)}}\). We guarantee that \(l=0\). Otherwise, we suppose that
It follows that
which contradicts the condition of Lemma 3.2. Hence \(l=0\). Therefore \(\tau_{n}\rightarrow \tau_{1}\).
This proof of Lemma 3.2 is finished. □
Lemma 3.3
For \(0< s<1\) and \(\lambda >0\) small enough, there exists \(u_{2}\in W_{0}^{1,p}(\Omega )\) such that
where D is defined in Lemma 3.2.
Proof
For every \(r\geq 0\), we have
which implies that there exists a positive constant \(\epsilon_{0}\) such that
and
where \(u_{\epsilon }\) is defined in Sect. 1. Let
because of \(\lim_{r\rightarrow \infty }A_{\epsilon }(r)=-\infty \), \(A_{\epsilon }(0)=0\), and \(\lim_{r\rightarrow 0^{+}}A_{\epsilon }(r)>0\), so \(A_{\epsilon }(r)\) attains its maximum at some positive number. In fact, we let
therefore
Noting that \(A'_{\epsilon }(r)>0\) for every \(0< r< T_{\epsilon }\) and \(A'_{\epsilon }(r)<0\) for every \(r>T_{\epsilon }\), our claim is proved. Thus, the properties of \(I_{\gamma }(ru_{\epsilon })\) at \(r=0\) and \(r=+\infty \) tell us that \(\sup_{r\geq 0}I_{\gamma }(ru_{ \epsilon })\) is attained for some \(r_{\epsilon }>0\).
From condition \((Q_{1})\), we have
It follows that
By (3.6), we deduce that
Next, we will estimate \(B_{\epsilon }\). Here, we use the following inequality from [24, 27]:
Observe from (3.8) that
From (3.7) and (3.9), we find that there exists a positive constant \(\widetilde{\lambda }_{0}\) such that, for every \(\lambda \in (0, \widetilde{\lambda }_{0})\), one has
This completes the proof of Lemma 3.3. □
Theorem 3.4
For \(0<\gamma <1\), there is \(\lambda^{*}>0\) such that \(\lambda \in (0,\lambda^{*})\), problem (3.1) admits a positive solution \(\tau_{\gamma }\in W_{0}^{1,p}(\Omega )\) satisfying \(I_{\gamma }(\tau_{\gamma })>\rho \), where ρ is given in Lemma 2.1.
Proof
Let \(\lambda^{*}=\min \{\lambda_{0}, \widetilde{\lambda }_{0}\}\), then Lemmas 3.1–3.3 hold for \(0<\lambda <\lambda^{*}\). Based on Lemma 3.1, we know that \(I_{\gamma }\) satisfies the geometry of the mountain pass lemma [1]. Therefore, there is a sequence \(\{\tau_{n}\}\subset W_{0}^{1,p}(\Omega )\) such that
where
So, according to Lemmas 3.1 and 3.3, one has
From Lemma 3.2, note that \(\{\tau_{n}\}\) has a convergent subsequence, still denoted by \(\{\tau_{n}\}\) (\(\{\tau_{n}\}\subset W_{0}^{1,p}( \Omega )\)). Assume that \(\lim_{n\rightarrow \infty }\tau_{n}= \tau_{\gamma }\) in \(W_{0}^{1,p}(\Omega )\). Hence, combining (3.10) and (3.11), we have
which implies that \(\tau_{\gamma }\not \equiv 0\). By the continuity of \(I_{\gamma }^{\prime}\), we know that \(\tau_{\gamma }\) is a solution of (3.1). Furthermore, \(\tau_{\gamma }\geq 0\). Hence, applying the strong maximum principle, we obtain that \(\tau_{\gamma }\) is a positive solution of (3.1). □
4 Existence of the second solution of problem (1.1)
Theorem 4.1
For \(\lambda \in (0, \lambda^{*})\), problem (1.1) possesses a positive solution \(\tau_{1}\) satisfying \(I_{\lambda ,\mu }(\tau_{1})>0\), where \(\lambda^{*}\) is given in Theorem 3.4.
Proof
Let \(\{\tau_{\gamma }\}\) be a family of positive solutions of (1.1), we will show that \(\{\tau_{\gamma }\}\) has a uniform lower bound. Indeed, we denote
Therefore, for every \(\gamma \in (0,1)\), \(r\geq 0\), we get
Recall that e is a weak solution of the following problem:
so \(e(x)>0\) in Ω. According to the comparison principle, we have
where \(Q_{m} =\min_{x\in Q}Q(x)>0\). Since \(\{\tau_{\gamma }\}\) are solutions of problem (3.1), one has
Combining with (3.3), (4.2), and Theorem 3.4, we have
since \(s\in (0,1)\), so \(\{\tau_{\gamma }\}\) is bounded in \(W_{0}^{1,p}( \Omega )\). Going if necessary to a subsequence, also called \(\{\tau_{\gamma }\}\), there exists \(\tau_{1}\in W_{0}^{1,p}(\Omega )\) such that
Now, we show that \(\tau_{\gamma }\rightarrow \tau_{1}\) in \(W_{0}^{1.p}( \Omega )\) as \(\gamma \rightarrow 0\). Set \(w_{\gamma }=\tau_{\gamma }- \tau_{1}\), then \(\Vert w_{\gamma } \Vert \rightarrow 0\) as \(\gamma \rightarrow 0\); otherwise, there exists a subsequence (still denoted by \(w_{\gamma }\)) such that \(\lim_{\gamma \rightarrow 0} \Vert w_{\gamma } \Vert =l>0\). Since \(0\leq \frac{ \tau_{\gamma }}{(\tau_{\gamma }+\gamma )^{s}}\leq \tau_{\gamma }^{1-s}\), applying Hölder’s inequality and (4.3), we have
Similarly,
Therefore
It follows from \(\langle I_{\gamma }^{\prime}(\tau_{\gamma }),\tau_{\gamma }\rangle =0\) and the Brézis–Lieb lemma that
Note that \(\tau_{\gamma }\rightharpoonup \tau_{1}\) as \(\gamma \rightarrow 0^{+}\). Choose the test function \(\varphi =\phi \in W_{0}^{1,p}( \Omega )\cap C_{0}(\Omega )\) in (3.2). Letting \(\gamma \rightarrow 0^{+}\) and using (4.1), we deduce that \(\tau_{1} \geq \min \{1,Q_{m}\}\min \{1,\frac{\lambda }{p^{s}}\}e>0\), and
We show that (4.5) holds for every \(\phi \in W_{0}^{1,p}(\Omega )\). In fact, since \(W_{0}^{1,p}(\Omega )\cap C_{0}(\Omega )\) is dense in \(W_{0}^{1,p}(\Omega )\), then for every \(\phi \in W_{0}^{1,p}(\Omega )\), there exists a sequence \(\{\phi_{n}\}\subset W_{0}^{1,p}(\Omega ) \cap C_{0}(\Omega )\) such that \(\lim_{n\rightarrow \infty }\phi_{n}= \phi \). For \(m, n \in \mathbb{N^{+}}\) large enough, replacing ϕ with \(\phi_{n}-\phi_{m}\) in (4.5) yields
On the one hand, using \(\phi_{n}\rightarrow \phi \) and (4.6), we have that \(\{\frac{\phi_{n}}{\tau_{1}}\} \) is a Cauchy sequence in \(L^{p}(\Omega )\), hence there exists \(\nu \in L^{p}(\Omega )\) such that \(\lim_{n\rightarrow \infty }\frac{\phi_{n}}{\tau^{s}_{0}}=\nu \), which implies that \(\lim_{n\rightarrow \infty } \frac{\phi_{n}}{\tau^{s}_{0}}=\nu \) in measure. By Riesz’s theorem, without loss of generality, choose a subsequence of \(\{\frac{\phi_{n}}{ \tau^{s}_{0}}\}\), still denoted by \(\{\frac{\phi_{n}}{\tau^{s}_{0}}\}\), such that
On the other hand, from (4.7), we have that \(\nu =\frac{\phi }{\tau ^{s}_{0}}\), which leads to
Therefore, we deduce that (4.5) holds for \(\phi \in W_{0}^{1,p}( \Omega )\). Setting \(\phi =\tau_{1}\) in (4.5), we have
Together with (4.4), we obtain that
Hence
Since
Then \(l\geq \frac{S^{\frac{N-t}{p-t}}}{Q_{M}^{\frac{N-p}{p-t}}}\). By (4.8), we have
At the same time, it follows from (4.4) and (4.9) that
which contradicts (4.10). Therefore, we deduce that
Consequently, problem (1.1) has two different solutions \(u_{1}\) and \(\tau_{1}\). Furthermore, \(\tau_{1} \not \equiv 0\), together with the maximum principle, we conclude that \(\tau_{1} >0\) a.e. \(x\in \Omega \). That is, \(\tau_{1}\) is a positive solution of problem (1.1).
The proof of Theorem 4.1 is completed. □
Remark 4.1
In order to apply the Brézis–Lieb lemma, we need to establish the convergence results for the sequences with gradient terms [5, 9]. Furthermore, the strong maximum principle for a p-Laplace operator is also used.
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We would like to thank the referees for their valuable comments and suggestions to improve our paper.
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This project is supported by the Natural Science Foundation of Shanxi Province (201601D011003), NSFC (11401583) and the Fundamental Research Funds for the Central Universities (16CX02051A).
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Sang, Y., Luo, X. & Zhu, Z. Two positive solutions for quasilinear elliptic equations with singularity and critical exponents. Bound Value Probl 2018, 97 (2018). https://doi.org/10.1186/s13661-018-1018-7
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DOI: https://doi.org/10.1186/s13661-018-1018-7
Keywords
- Quasilinear
- Singularity
- Critical
- Sobolev–Hardy exponent