Abstract
This paper focuses on the existence of normalized solutions for the following Kirchhoff equation:
where \(a,b,c>0\), \(\mu \in {\mathbb {R}}\) and \(2<q<6\), \(\lambda \in {\mathbb {R}}\) will arise as a Lagrange multiplier that is not a priori given. By using new analytical techniques, the paper establishes several existence results for the case \(\mu >0\):
-
(1)
The existence of two solutions, one being a local minimizer and the other of mountain-pass type, under explicit conditions on c when \(2<q<\frac{10}{3}\).
-
(2)
The existence of a mountain-pass type solution under explicit conditions on c when \(\frac{10}{3}\le q<\frac{14}{3}\).
-
(3)
The existence of a ground state solution for all \(c>0\) when \(\frac{14}{3}\le q<6\).
Furthermore, the paper presents the first non-existence result for the case \(\mu \le 0\) and \(2<q<6\). In particular, refined estimates of energy levels are proposed, suggesting a new threshold of compactness in the \(L^2\)-constraint. This study addresses an open problem for \(2<q<\frac{10}{3}\) and fills a gap in the case \(\frac{10}{3}\le q<\frac{14}{3}\). We believe that our approach can be applied to a broader range of nonlinear terms with Sobolev critical growth, and the underlying ideas have potential for future development and applicability.
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1 Introduction
In this paper, we study the existence of normalized solutions for the following Kirchhoff equation:
where \(a,b>0\) and \(c>0\) are given constants, \(\lambda \in {\mathbb {R}}\) will arise as a Lagrange multiplier and is not a priori given, \(\mu \in {\mathbb {R}}\) and \(2<q<6\). Here 6 is the Sobolev critical exponent. Normalized solutions to (1.1) can be obtained as critical points of the energy functional \(\Phi : H^1({\mathbb {R}}^3) \rightarrow {\mathbb {R}}\) defined by
restricted on
The first equation of (1.1) is a special form of the Kirchhoff type equation
where \(N\ge 1\) and \(f\in {\mathcal {C}}({\mathbb {R}},{\mathbb {R}})\), which was proposed by Kirchhoff as an extension of the classical D’Alembert’s wave equations, describing free vibrations of elastic strings. Mathematically, (1.4) is often referred to be nonlocal as the appearance of the term \(\left( \int _{\mathbb {R}^N}\nabla u|^{2}dx\right) \Delta u\) implies that (1.4) is no longer a pointwise identity. This phenomenon causes some mathematical difficulties, which make the study of (1.4) particularly interesting. After the pioneering work of Lions [13], where a functional analysis approach was proposed, the Kirchhoff type equations began to call attention of researchers.
For the study of (1.4), there exist two distinct options regarding the frequency parameter \(\lambda \), leading to two different research fields. A possible choice is fixing \(\lambda \in {\mathbb {R}}\), or even with an additional external and fixed potential V(x). This direction has been extensively studied in the last ten years, there are numerous relevant literature sources, and we will not list them here.
Alternatively, it is of great interest to investigate solutions to (1.4) that possess a prescribed \(L^2\)-norm, which are commonly referred to as normalized solutions. In this situation, the frequency \(\lambda \in {\mathbb {R}}\) is an unknown parameter and acts as a Lagrange multiplier with respect to the constraint \({\mathcal {S}}_N(c)=\left\{ u\in H^1({\mathbb {R}}^N):\Vert u\Vert _2^2=c\right\} \). Normalized solutions to (1.4) can be obtained as critical points of the energy functional \(\Phi _N: H^1({\mathbb {R}}^N) \rightarrow {\mathbb {R}}\) defined by
on the constraint \({\mathcal {S}}_N(c)\), where \(F(u):=\int _0^uf(t)\textrm{d}t\). From the physical point of view, finding normalized solutions seems to be particularly meaningful because the \(L^2\)-norm of such solutions is a preserved quantity of the evolution and their variational characterization can help to analyze the orbital stability or instability, see, for example, [2, 14]. Despite its physical relevance, there have been few works available on this topic. In particular, when considering the critical growth case, we are only aware of the papers [11, 12, 21]. Before delving into the results motivate our research, let us highlight some novel aspects in the study of (1.4) with an \(L^2\)-constraint in the next subsection.
1.1 Previous developments and some perspectives
From a variational point of view, besides the Sobolev critical exponent \(2^*:=\frac{2N}{N-2}\) for \(N\ge 3\) and \(2^*=\infty \) for \(N=1,2\), a new \(L^2\)-critical exponent \(q_N:=2+\frac{8}{N}\) arises that plays a pivotal role in the study of normalized solutions to (1.4). This threshold determines whether the constrained functional \(\Phi _N\) remains bounded from below on \({\mathcal {S}}_N(c)\) and consequently influences our choice of approaches when searching for constrained critical points. As far as we know, in this regard, the first results for (1.4) with \(f(u)=|u|^{q-2}u\) can be attributed to the work by Ye in a sequence of papers [18,19,20]. These results are summarized in Table 1.
In particular, for \(q>2+\frac{8}{N}\), \(\Phi _N\) is always unbounded from below on \({\mathcal {S}}_N(c)\) since it can be easily derived that \(\Phi _{N}\left( t^{N/2}u_{t}(x)\right) \rightarrow -\infty \) as \(t\rightarrow \infty \), where
is a dilation preserving the \(L^2\)-norm, that is \(\Vert t^{N/2}u_t\Vert _2=\Vert u\Vert _2\) for \(t>0\), and this situation corresponds to what is termed as an \(L^2\)-supercritical case. In this case, more efforts are always needed since one cannot search for a global minimum of \(\Phi _{N}\) restricted on \({\mathcal {S}}_N(c)\) and only identify a suspected critical level. Later, the results in the case \(2+\frac{8}{N}<q<2^*\) of Table 1 were further extended in [6] to the more general \(L^2\)-supercritical case with Sobolev subcritical growth, where \(f(u)\sim \sum _{i=1}^{m}|u|^{q_i-2}u\) (\(2+\frac{8}{N}<q_i<2^*\) and \(m\ge 2\)). Furthermore, as observed from Table 1, when \(p \in (2, 2 + \frac{8}{N})\), the exponent \(2 + \frac{4}{N}\) also plays an important role in the investigation of normalized solutions. In fact, it corresponds to the \(L^2\)-critical exponent in the study of normalized solutions to the Schrödinger equation, specifically (1.4) with \(b=0\). It is worth emphasizing that for the Schrödinger equation (1.4) with \(b=0\), the \(L^2\)-critical exponent is always strictly smaller than the Sobolev critical exponent, specifically \(2+\frac{4}{N}<\frac{2N}{N-2}\). However, for the Kirchhoff equation (1.4) with \(b>0\), the \(L^2\)-critical exponent is strictly smaller than the Sobolev critical exponent only when \(N\le 3\), that is, \(q_N=2+\frac{8}{N}<2^*=\frac{2N}{N-2}\) if and only if \(N\le 3\). This explains why the research on normalized solutions for the Kirchhoff equation is predominantly focused on the case of \(N\le 3\), and when the nonlinearity exhibits Sobolev critical growth, it suffices to consider the case of \(N=3\).
It is well-known that compared to the subcritical growth case, the Sobolev critical growth case of (1.4) presents additional challenges in terms of the compactness analysis, especially when considering the \(L^2\)-constraint. To the best of our knowledge, the first work on the Sobolev critical growth case is due to Zhang–Han [21]. They established the existence of normalized solutions to (1.1) when \(\mu =1\) and \(\frac{14}{3}\le q<6\) by calculating the threshold of the mountain pass level. Subsequently, Li–Nie–Zhang [12] obtained similar results in the \(L^2\)-supercritical case \(\frac{14}{3}<q<6\) using a different method that relies on the Sobolev subcritical approximation. However, their results require \(\mu >0\) to be large enough in (1.1). More recently, Li–Luo–Yang [11] further extended these results on (1.1). However, their work is restricted to the power ranges: \(2<q<\frac{10}{3}\) or \(\frac{14}{3}\le q<6\), and leaves a gap: \(\frac{10}{3}\le q<\frac{14}{3}\). The significant findings from their research are summarized in Table 2.
In Table 2, despite explicitly identifying the range of existence for local minima with respect to \(\mu \) for \(2<q<\frac{10}{3}\), the expression for the upper bound \(\mu _*(c,q)\) is excessively convoluted. Moreover, two open problems, labeled as (Q1) and (Q2), remain unaddressed. It is noteworthy that \(\frac{10}{3}\) and \(\frac{14}{3}\) are the \(L^2\)-critical exponents in the case of \(N=3\) to (1.4) with \(b=0\) and (1.4) with \(b>0\), respectively. When \(b=0\), Eq. (1.1) reduces to the three-dimensional scenario (\(N=3\)) of the Schrödinger equation with Sobolev critical growth:
which can be viewed as a counterpart of the classical Brezis–Nirenberg problem in the context of \(L^2\)-constraint. In addition to the Sobolev critical growth, an important feature of this kind of problem lies in the fact that the presence of multiple powers destroys the scale invariance of the homogeneous equation, and thus it is called a mixed problem. Such a problem has become an active research topic, as seen in references such as [5, 8,9,10, 15, 16]. In these references, some existence results were established for certain small values of \(c>0\), some of which are summarized in Table 3.
Here and in the rest of the paper, \({\mathcal {S}}\) denotes the best constant for the Sobolev inequality, i.e., for any \(N \ge 3\) there exists an optimal constant \({\mathcal {S}} > 0\) depending only on N, such that
Remark that the existence of a second solution to (1.7) when \(2<q<2+\frac{4}{N}\) had been raised as an open problem in [15], subsequently, it was addressed, as presented in Table 3.
Compared to the case \(b=0\), the study of (1.1) with \(b>0\) is much more challenging, due to the additional difficulties caused by the combined effect of the nonlocal term of \((\Vert \nabla u\Vert _2^2)\Delta u\) and multiple powers. For example,
-
(i)
The functional \(\Phi \) is comprised of four distinct terms that exhibit varying scaling behavior with respect to the dilation \(t^{3/2}u(t\cdot )\). The intricate interplay among these terms makes it more difficult to ascertain the types of critical points for \(\Phi \) on \({\mathcal {S}}_c\).
-
(ii)
It is widely recognized that establishing the compactness in critical growth problems hinges on obtaining rigorous upper bound estimates for the minimax levels. This has only been achieved when \(b=0\), specifically:
$$\begin{aligned} M(c)< \left\{ \begin{array}{ll} m_c+ \frac{1}{3}{\mathcal {S}}^{\frac{3}{2}}, & \ \hbox {if}\ 2<q<\frac{10}{3}, \ \hbox {where}\ m_c \ \hbox {is defined in Table\ }3,\\ \frac{1}{3}{\mathcal {S}}^{\frac{3}{2}}, & \ \hbox {if}\ \frac{10}{3}\le q<6.\\ \end{array} \right. \end{aligned}$$In the case of \(b>0\), there is also a need to establish a similar inequality. However, at present, only one result is available for the range \(\frac{14}{3}\le q<6\), while the cases of \(2<q<\frac{10}{3}\) and \(\frac{10}{3}\le q<\frac{14}{3}\) remain unresolved due to the strong competitive effect of the term \(\Vert \nabla u\Vert _2^4\) in \(\Phi \), more precisely,
$$\begin{aligned} M(c)< \left\{ \begin{array}{lll} ?, & \ \hbox {if}\ 2<q<\frac{10}{3},\\ ?, & \ \hbox {if}\ \frac{10}{3}\le q<\frac{14}{3},\\ \Theta ^*:=\frac{ab{\mathcal {S}}^{3}}{4}+\frac{b^3{\mathcal {S}}^{6}}{24}+\frac{\left( b^2{\mathcal {S}}^4+4a{\mathcal {S}}\right) ^{\frac{3}{2}}}{24}, & \ \hbox {if}\ \frac{14}{3}\le q<6.\\ \end{array} \right. \end{aligned}$$(1.9)Hence, the crucial outstanding matter is how to ascertain the compactness threshold for the problem when \(2<q<\frac{10}{3}\) and \(\frac{10}{3}\le q<\frac{14}{3}\), and subsequently develop the appropriate energy estimates to mitigate the unavoidable competitive impact of the term \(\Vert \nabla u\Vert _2^4\) in the functional \(\Phi \).
-
(iii)
Even when the aforementioned difficulties can be addressed, establishing the compactness of (PS) sequences becomes more complicated compared to the case when \(b=0\). This is primarily due to the presence of the term \(\Vert \nabla u\Vert _2^4\) in \(\Phi \), which implies that the weak convergence \(u_n\rightharpoonup u\) in \(H^1({\mathbb {R}}^3)\) does not guarantee the convergence
$$\begin{aligned} \Vert \nabla u_n\Vert _2^2\int _{{\mathbb {R}}^3}\nabla u_n \cdot \nabla \varphi \textrm{d}x \rightarrow \Vert \nabla u\Vert _2^2\int _{{\mathbb {R}}^3}\nabla u \cdot \nabla \varphi \textrm{d}x\ \text {for all}\ \varphi \in {\mathcal {C}}_0^{\infty }({\mathbb {R}}^3). \end{aligned}$$Consequently, when \(b>0\), it becomes even more intricate to rule out the possibility of vanishing and dichotomy for (PS) sequences, preventing its strong convergence in \(H^1({\mathbb {R}}^3)\).
1.2 Highlights of the paper and main results
Motivated by the aforementioned work, this paper aims to thoroughly investigate the existence and multiplicity of normalized solutions for (1.1), covering the complete range of subcritical perturbations within the interval \(2<q<6\). In the study of (1.1), we classify the power q into three intervals: \(2<q<\frac{10}{3}\), \(\frac{10}{3}\le q<\frac{14}{3}\), and \(\frac{14}{3}\le q<6\), taking into account the combined effect of \(\Delta u\) and \((\Vert \nabla u\Vert _2^2)\Delta u\). Notably, we use new analytical techniques and ideas to overcome the aforementioned challenges and address two open problems, denoted as (Q1) and (Q2) in Table 3, while also filling the research gap for the interval \(\frac{10}{3}\le q<\frac{14}{3}\). Specifically, for \(\mu >0\) and under suitable conditions on the mass c, we establish the following results:
-
(i)
When \(2<q<\frac{10}{3}\), \(\Phi \) exhibits a geometry of local minima on \({\mathcal {S}}_c\), suggesting the existence of an additional mountain pass geometry originating from the local minimizer.
-
(ii)
When \(\frac{10}{3}\le q<\frac{14}{3}\) and \(\frac{14}{3}\le q<6\), \(\Phi \) possesses a mountain pass geometry on \({\mathcal {S}}_c\).
Based on these observations, our research is divided into two parts, which are summarized in Tables 4 and 5. Additionally, we establish the non-existence result for \(\mu \le 0\) and \(2<q<6\).
Here the number \(\Theta ^*\) is defined by (1.9), the numbers \(s_0,c_0,c_1,c_2\) and \(c_3\) are defined by:
and
the functional \(\Psi : H^1({\mathbb {R}}^3) \rightarrow {\mathbb {R}}\) is defined by
and the set \(A_{\rho }\) is defined by
where, and in the rest of the paper, \({\mathcal {C}}_s\), determined by s, denotes the best constant for the Gagliardo–Nirenberg inequality in \({\mathbb {R}}^3\) (see [1]),
To state our main results, we define the \(L^2\)-Pohozaev functional
It is well known that any solution to (1.1) belongs to the \(L^2\)-Pohozaev manifold defined by
We recall a solution u to be a ground state solution on \({\mathcal {S}}_c\) if u minimizes the functional \(\Phi \) among all the solutions to (1.1), i.e.,
Our results are as follows.
Theorem 1.1
Let \(2<q<\frac{10}{3}\), \(\mu >0\) and \(c\in (0,c_0)\). Then (1.1) has a couple solution \(({\tilde{u}}_c,{\tilde{\lambda }}_c) \in ({\mathcal {S}}_c\cap H^1 ({\mathbb {R}}^3)) \times (0, +\infty )\) such that
Theorem 1.2
Let \(2<q<\frac{10}{3}\), \(\mu >0\) and \(c\in (0,\min \{c_0,c_1\})\). Then (1.1) has a second couple solution \(({\bar{u}}_c,{\bar{\lambda }}_c) \in ({\mathcal {S}}_c\cap H_{\textrm{rad}}^1({\mathbb {R}}^3)) \times (0, +\infty )\) such that
Theorem 1.3
Let \(\frac{10}{3}\le q<\frac{14}{3}\), \(\mu >0\) and \(c\in (0,\min \{c_2,c_3\})\). Then (1.1) has a couple solution \(({\bar{u}}_c,\lambda _c) \in ({\mathcal {S}}_c\cap H_{\textrm{rad}}^1 ({\mathbb {R}}^3)) \times (0, +\infty )\) such that
Theorem 1.4
Let \(\frac{14}{3}\le q<6\), \(\mu >0\) and \(c\in (0,+\infty )\). Then (1.1) has a couple solution \(({\bar{u}}_c,\lambda _c) \in H^1 ({\mathbb {R}}^3) \times (0, +\infty )\) such that
Theorem 1.5
Let \(2< q<6\), \(\mu \le 0\) and \(c\in (0,+\infty )\). Then (1.1) has no solutions in \(H^1 ({\mathbb {R}}^3) \times (0, +\infty )\).
Remark 1.6
Our research can be considered as a counterpart of the Brezis-Nirenberg problem in the context of normalized solutions to Kirchhoff equations, and appears to be a significant contribution in this regard. This is particularly noteworthy because our study covers the entire interval of \(2<q<6\) with subcritical lower exponents. To be more specific, Theorems 1.2 and 1.3 address the open problems (Q1) and (Q2) mentioned in Table 2, respectively, while filling the research gap in the interval \(\frac{10}{3}\le q<\frac{14}{3}\). The statements highlighted in red in Tables 4 and 5 further illustrate this point. Additionally, Theorem 1.5 establishes the first result of nonexistence for (1.1) when \(\mu <0\).
Remark 1.7
(i) Our approach to constructing (PS) sequences in the proofs of Theorems 1.1–1.4 is fundamentally different from the work of [11]. It is based on several critical point theorems on manifolds that we have recently developed in [5] for the study of (1.7). Our method offers several advantages over Ghoussoub’s minimax approach introduced in [7], as it is technically simpler and does not rely on the decomposition of Pohozaev manifolds. Consequently, it is applicable to a wider range of nonlinear terms.
(ii) From Theorem 1.2, one might wonder why it is necessary to introduce a new functional \(\Psi \) defined by (1.15). In fact, it plays a crucial role in proving the compactness of (PS) sequences. By using new analytical techniques and refined energy estimates, we establish rigorous inequalities concerning the energy levels, which are given as follows:
complementing the corresponding result from previous studies, namely the inequality (1.9). The right-hand side of the inequalities represents the compactness threshold of the problem, below which the (PS) condition holds. The derivation of these inequalities is one of the noteworthy highlights of this paper. The argument in the case where \(2< q < \frac{10}{3}\) is the most delicate, making it the key and pivotal element in proving Theorem 1.2.
Let us now highlight the key difficulties encountered and outline our research strategy for proving Theorem 1.2, which we believe is the most inspiring part of this paper.
Motivated by the results on (1.7) in Table 3, it is natural to expect that (1.1) has a second solution of the mountain pass type when \(2<q<\frac{10}{3}\). However, achieving this result poses the greatest challenge, as mentioned in Remark 1.7-(ii). Drawing upon our experience studying (1.7) in [5], we conjecture that the value \(m(c)+\Theta ^*\) may serve as a potential candidate for the compactness threshold in the case \(2< q < \frac{10}{3}\), where m(c) is given by (1.19). Following our ideas in [5], in order to establish the strict inequality \(M(c) < m(c)+\Theta ^*\), we consider a superposition of the minimizer of m(c) and the Aubin-Talenti bubbles associated with the Sobolev inequality, while ensuring that the resulting function remains constrained to \({\mathcal {S}}_c\) through appropriate technical modifications. The interplay between these components is expected to lead to a decrease in the corresponding energy value, ultimately yielding \(M(c) < m(c)+\Theta ^*\). Unfortunately, unlike in the study of (1.7), the additional term \(\Vert \nabla u\Vert _2^4\) in \(\Phi \) causes the energy value to exceed the anticipated compactness threshold. Specifically, considering \(\Phi (u):=\phi (u)+\frac{b}{4}\Vert \nabla u\Vert _2^4\), we can observe from (1.24) that controlling the mountain pass level from above using \(m(c)+\Theta ^*\) is not feasible due to the presence of undesirable cross-term interferences:
This observation indicates that the aforementioned conjecture does not hold, necessitating the implementation of new ideas to address this problem. Precisely, instead of starting from the local minimizer of m(c), we introduce the auxiliary functional \(\Psi \) and search for a local minimizer of \(\Psi \) as the first step, as follows:
-
Step 1:
Prove the existence of \({\hat{u}}_c\in H^1_{\textrm{rad}}({\mathbb {R}}^3)\) such that \(\Psi ({\hat{u}}_c)={\hat{m}}(c):=\inf _{{\mathcal {S}}_c\cap A_{s_0}} \Psi \).
-
Step 2:
Using the function \({\hat{u}}_c\) obtained in Step 1 as the starting point, construct a path set of the mountain pass type:
$$\begin{aligned} \Gamma _{c}=\left\{ \gamma \in {\mathcal {C}}([0,1], {\mathcal {S}}_c): \gamma (0)={\hat{u}}_c, \Phi (\gamma (1))<2m(c)\right\} , \end{aligned}$$and prove that for \(c\in (0,c_0)\), there exists \(\kappa >0\) such that
$$\begin{aligned} M(c) =\inf _{\gamma \in \Gamma _{c}}\max _{t\in [0, 1]}\Phi (\gamma (t))\ge \kappa >\sup _{\gamma \in \Gamma _{c}}\max \left\{ \Phi (\gamma (0)), \Phi (\gamma (1))\right\} . \end{aligned}$$
Remarkably, the combination of this inequality and the next step will allow us to obtain a good (PS) sequence \(\{u_n\} \subset {\mathcal {S}}_c\) such that
-
Step 3:
For each \(n\in {\mathbb {N}}\) and \(t>0\), construct a family of new sequences of testing functions restricted on \({\mathcal {S}}_c\):
$$\begin{aligned} W_{n,t}(x):=\sqrt{\tau }[{\hat{u}}_{c}(\tau x)+tU_n(\tau x)] \end{aligned}$$with \(\tau =\tau _{n,t}:=\Vert {\hat{u}}_{c}+tU_n\Vert _2/\sqrt{c}\) and \(U_n(x):=\Theta _n(|x|)\) and
$$\begin{aligned} \Theta _n(r)=\root 4 \of {3} {\left\{ \begin{array}{ll} \sqrt{\frac{n}{1+n^2r^2}}, \ \ & 0\le r< 1;\\ \sqrt{\frac{n}{1+n^2}}(2-r), \ \ & 1\le r< 2;\\ 0, \ \ & r\ge 2, \end{array}\right. } \end{aligned}$$and prove that
$$\begin{aligned} \Phi (W_{n,t})< \Theta ^*+\Psi ({\hat{u}}_{c})-O\left( \frac{1}{\sqrt{n}}\right) , \quad \forall \ t>0. \end{aligned}$$This novel inequality allows us to find large two numbers \({\bar{n}}\in {\mathbb {N}}\) and \({\hat{t}}>0\) such that
$$\begin{aligned} W_{{\bar{n}},0}={\hat{u}}_c \ \ \hbox {and}\ \ \Phi (W_{{\bar{n}},{\hat{t}}}) <2m(c). \end{aligned}$$In this way, we find a suitable path \(\gamma _{{\bar{n}}}(t):=W_{{\bar{n}},t{\hat{t}}}\) such that \(\gamma _{{\bar{n}}}\in \Gamma _{c}\), and thus \(M(c)\le \max _{t\in [0,1]}\Phi (\gamma _{{\bar{n}}}(t)) < {\hat{m}}(c)+\Theta ^*\), see Lemmas 3.11 and 3.12 for more details.
-
Step 4:
Prove the compactness of the (PS) sequence \(\{u_n\}\) obtained in (1.25). The boundedness of \(\{u_n\}\) can be deduced from the additional property \({\mathcal {P}}(u_n)\rightarrow 0\). By contradiction and using the strict inequality \(M(c)< {\hat{m}}(c)+\Theta ^*<\Theta ^*\), we establish two key elements: (i) excluding the possibility of vanishing, which implies the existence of \({\bar{u}}\in H_{\textrm{rad}}^1({\mathbb {R}}^3)\) with \(0<\Vert {\bar{u}}\Vert _2^2\le c\) such that \(u_n\rightharpoonup {\bar{u}}\) in \(H_{\textrm{rad}}^1({\mathbb {R}}^3)\); (ii) showing \(\Vert \nabla (u_n- {\bar{u}})\Vert _2^2\rightarrow 0\), which is necessary to verify that \({\bar{u}}\in {\mathcal {S}}_c\) is a second solution of (1.1). The proof of the former is not difficult since, if \({\bar{u}} = 0\), a standard argument yields \(M(c)+o(1)=\Phi (u_n)\ge \Theta ^*\), contradicting the strict inequality. The essential difficulty lies in deducing \(\Vert \nabla (u_n - {\bar{u}})\Vert _2^2 \rightarrow 0\). To derive a contradiction with \(M(c)< {\hat{m}}(c)+\Theta ^*\), we need to establish the relationship between \(\Phi ({\bar{u}})\), \(\Psi ({\bar{u}})\), and \(\Theta ^*\) based on the definition of \({\hat{m}}(c)\). To accomplish this, we employ fresh analytical techniques by distinguishing two cases: \(\Vert \nabla {\bar{u}}\Vert _2^2< s_0\) and \(\Vert \nabla {\bar{u}}\Vert _2^2\ge s_0\). This process also sheds light on why the value \({\hat{m}}(c) + \Theta ^*\) appears as the compactness threshold of the problem.
The paper is organized as follows. Section 2 is devoted to some preliminary results, which will be used in the rest of paper. In Sect. 3, we study the case \(2<q<\frac{10}{3}\), and give the proofs of Theorems 1.1 and 1.2. In Sect. 4, we study the case \(\frac{10}{3}\le q<\frac{14}{3}\), and finish the proof of Theorem 1.3. In Sect. 4, we study the case \(\frac{14}{3}\le q<6\), and finish the proof of Theorem 1.4, moreover, Theorem 1.5 is proved in this section.
Throughout the paper, we make use of the following notations:
-
\(H_{\textrm{rad}}^1({\mathbb {R}}^3):=\{u\in H^1({\mathbb {R}}^3)\ \big |\ u(x)=u(|x|)\ \hbox {a.e. in } {\mathbb {R}}^3\}\);
-
\(L^s({\mathbb {R}}^3) (1\le s< \infty )\) denotes the Lebesgue space with the norm \(\Vert u\Vert _s =\left( \int _{{\mathbb {R}}^3}|u|^s\textrm{d}x\right) ^{1/s}\);
-
For any \(u\in H^1({\mathbb {R}}^3)\) and \(t>0\), we set \(u_t(x):=u(tx)\);
-
For any \(x\in {\mathbb {R}}^3\) and \(r>0\), \(B_r(x):=\{y\in {\mathbb {R}}^3: |y-x|<r \}\) and \(B_r=B_r(0)\);
-
\(C_1, C_2,\ldots \) denote positive constants possibly different in different places.
2 Preliminary results
Let H be a real Hilbert space whose norm and scalar product will be denoted respectively by \(\Vert \cdot \Vert _H\) and \((\cdot , \cdot )_H\). Let E be a real Banach space with norm \(\Vert \cdot \Vert _E\). We assume throughout this section that
with continuous injections, where \(E^*\) is the dual space of E. Thus H is identified with its dual space. We will always assume in the sequel that E and H are infinite dimensional spaces. We consider the manifold
M is the trace of the unit sphere of H in E and is, in general, unbounded. Throughout the paper, M will be endowed with the topology inherited from E. Moreover M is a submanifold of E of codimension 1 and its tangent space at a given point \(u\in M\) can be considered as a closed subspace of E of codimension 1, namely
We consider a functional \(\varphi : E\rightarrow {\mathbb {R}}\) which is of class \({\mathcal {C}}^1\) on E. We denote by \(\varphi |_{M}\) the trace of \(\varphi \) on M. Then \(\varphi |_{M}\) is a \({\mathcal {C}}^1\) functional on M, and for any \(u\in M\),
In the sequel, for any \(u\in M\), we define the norm \(\left\| \varphi |_{M}'(u)\right\| \) by
Let \(E\times {\mathbb {R}}\) be equipped with the scalar product
and corresponding norm
Next, we consider a functional \({\tilde{\varphi }}: E\times {\mathbb {R}}\rightarrow {\mathbb {R}}\) which is of class \({\mathcal {C}}^1\) on \(E\times {\mathbb {R}}\). We denote by \({\tilde{\varphi }}|_{M\times {\mathbb {R}}}\) the trace of \({\tilde{\varphi }}\) on \(M\times {\mathbb {R}}\). Then \({\tilde{\varphi }}|_{M\times {\mathbb {R}}}\) is a \({\mathcal {C}}^1\) functional on \(M\times {\mathbb {R}}\), and for any \((u,\tau ) \in M\times {\mathbb {R}}\),
where
In the sequel, for any \((u,\tau )\in M\times {\mathbb {R}}\), we define the norm \(\left\| {\tilde{\varphi }}|_{M\times {\mathbb {R}}}'(u,\tau )\right\| \) by
Lemma 2.1
[5] Let \(\varphi \in {\mathcal {C}}^1(E,{\mathbb {R}})\), \(S\subset M\), \({\tilde{a}}\in {\mathbb {R}}\), \(\varepsilon ,\delta >0\) such that
Then, there exists \(\eta \in {\mathcal {C}}([0,1]\times M, M)\) such that
-
(i)
\(\eta (t,u)=u\), if \(t=0\), or if \(u\notin M\cap \varphi ^{-1}([{\tilde{a}}-2\varepsilon ,{\tilde{a}}+2\varepsilon ])\cap S_{2\delta }\);
-
(ii)
\(\eta \left( 1,\varphi ^{{\tilde{a}}+\varepsilon }\cap S\right) \subset \varphi ^{{\tilde{a}}-\varepsilon }\);
-
(iii)
for every \(t\in [0,1]\), \(\eta (t,\cdot ): M\rightarrow M\) is a homeomorphism;
-
(iv)
\(\Vert \eta (t,u)-u\Vert \le \delta ,\ \forall \ u\in M,\ t\in [0,1]\);
-
(v)
for every \(u\in M\), \(\varphi (\eta (t,u))\) is non-increasing on \(t\in [0,1]\);
-
(vi)
\(\varphi (\eta (t,u))<{\tilde{a}},\ \forall \ u\in M\cap \varphi ^{{\tilde{a}}}\cap S_{\delta },\ t\in [0,1]\).
Lemma 2.2
[3] Let \(\{u_n\}\subset M\) be a bounded sequence in E. Then the following are equivalent:
-
(i)
\(\Vert \varphi |_{M}'(u_n)\Vert \rightarrow 0\) as \(n\rightarrow \infty \);
-
(ii)
\(\varphi '(u_n)-\langle \varphi '(u_n),u_n\rangle u_n\rightarrow 0\) in \(E'\) as \(n\rightarrow \infty \).
Lemma 2.3
[5] Let \(\varphi \in {\mathcal {C}}^1(E,{\mathbb {R}})\) and \(K\subset E\). If there exists \(\rho >0\) such that
where \(K_{\rho }:=\{v\in E:\Vert v-u\Vert _E<\rho , \ u\in K\}\), then, for every \(\varepsilon \in (0,({\tilde{b}}-{\tilde{a}})/2)\), \(\delta \in (0,\rho /2)\) and \(w\in M\cap K\) such that
there exists \(u\in M\) such that
-
(i)
\({\tilde{a}}-2\varepsilon \le \varphi (u)\le {\tilde{a}}+2\varepsilon \);
-
(ii)
\(\Vert u-w\Vert _{E}\le 2\delta \);
-
(iii)
\(\left\| \varphi |_{M}'(u)\right\| \le 8\varepsilon /\delta \).
Corollary 2.4
[4] Let \(\varphi \in {\mathcal {C}}^1(E,{\mathbb {R}})\) and \(K\subset E\). If there exist \(\rho >0\) and \({\bar{u}}\in M\cap K\) such that
then \(\varphi |_{M}'({\bar{u}})=0\).
Lemma 2.5
[5] Assume that \(\theta _1,\theta _2\in {\mathbb {R}}\) and \({\tilde{\varphi }}\in {\mathcal {C}}^1(E\times {\mathbb {R}},{\mathbb {R}})\) satisfies
where
Let \(\{{\tilde{\gamma }}_n\}\subset {\tilde{\Gamma }}\) be such that
Then there exists a sequence \(\{(v_n,\tau _n)\}\subset M\times {\mathbb {R}}\) satisfying
-
(i)
\({\tilde{a}}-\frac{2}{n}\le {\tilde{\varphi }}(v_n,\tau _n)\le {\tilde{a}}+\frac{2}{n}\);
-
(ii)
\(\min _{t\in [0,1]}\Vert (v_n,\tau _n)-{\tilde{\gamma }}_n(t)\Vert _{E\times {\mathbb {R}}}\le \frac{2}{\sqrt{n}}\);
-
(iii)
\(\left\| {\tilde{\varphi }}|_{M\times {\mathbb {R}}}'(v_n,\tau _n)\right\| \le \frac{8}{\sqrt{n}}\).
3 The Case when \(2<q<\frac{10}{3}\)
In this section, we study the case \(2<q<\frac{10}{3}\), and give the proofs of Theorems 1.1 and 1.2.
For any \(c>0\), we consider the function \(g_c(s)\) defined on \(s\in (0,+\infty )\) by
By some simple calculations, we easily verify the following lemma.
Lemma 3.1
There hold
-
(i)
\((1+st)^{\frac{3}{2}}-1 \le t^{\frac{3}{2}}\left[ (1+s)^{\frac{3}{2}}-1\right] , \ \ \forall \ s\ge 0, \ t\ge 1\);
-
(ii)
\((1+s+t)^{\frac{3}{2}}-1\ge \left[ (1+s)^{\frac{3}{2}}-1\right] +\left[ (1+t)^{\frac{3}{2}}-1\right] , \ \ \forall \ s,t\ge 0\).
Similar to [8, Lemma 2.1], we can prove the following lemma.
Lemma 3.2
Let \(2<q<\frac{10}{3}\) and \(\mu > 0\). Then for each \(c > 0\), the function \(g_c(s)\) has a unique global maximum and the maximum value satisfies
where \(c_0\) is defined by (1.11), and
In particular, we have \(s_{c_0}=s_0\).
Lemma 3.3
Let \(2<q<\frac{10}{3}\) and \(\mu > 0\). Then for each \(c > 0\), we have that
Proof
From (1.2), (1.8), (1.15), (1.16) and (3.1), one has
\(\square \)
Set
Lemma 3.4
Let \(2<q<\frac{10}{3}\) and \(\mu > 0\). Then for any \(c \in (0, c_0)\), the following properties hold,
and
Proof
For any \(u\in {\mathcal {S}}_c\), since \(t^{3/2}u_t\in {\mathcal {S}}_c\) and \(\Vert \nabla (t^{3/2}u_t)\Vert _2^2=t^2\Vert \nabla u\Vert _2^2<s_0\) for small \(t>0\), it follows that \(t^{3/2}u_t\in {\mathcal {S}}_c\cap A_{s_0}\) for small \(t>0\). Furthermore, we have
due to \(2<q<\frac{10}{3}\). In the above second inequality, we have used the following fact:
(3.7) shows that \(\inf _{u\in {\mathcal {S}}_c\cap A_{s_0}}\Phi (u)\le \inf _{u\in {\mathcal {S}}_c\cap A_{s_0}}\Psi (u)<0\). Therefore, (3.5) and (3.6) follow from Lemmas 3.2 and 3.3. \(\square \)
Lemma 3.5
Let \(2<q<\frac{10}{3}\) and \(\mu > 0\). Then it holds that
-
(i)
Let \(c\in (0,c_0)\). Then for all \(\alpha \in (0, c)\), we have \(m(c)\le m(\alpha ) + m(c-\alpha )\), and if \(m(\alpha )\) or \(m(c-\alpha )\) is reached then the inequality is strict.
-
(ii)
The function \(c\mapsto m(c)\) is continuous on \((0, c_0)\).
Lemma 3.5 can be proved by the similar arguments as the following lemma, so we omit it.
Lemma 3.6
Let \(2<q<\frac{10}{3}\) and \(\mu > 0\). Then it holds that
-
(i)
Let \(c\in (0,c_0)\). Then for all \(\alpha \in (0, c)\), we have \({\hat{m}}(c)\le {\hat{m}}(\alpha ) + {\hat{m}}(c-\alpha )\), and if \({\hat{m}}(\alpha )\) or \({\hat{m}}(c-\alpha )\) is reached then the inequality is strict.
-
(ii)
The function \(c\mapsto {\hat{m}}(c)\) is continuous on \((0, c_0)\).
Proof
(i) Fix \(\alpha \in (0,c)\). By (3.1) and (3.2), we have
Let \(\{u_n\}\subset {\mathcal {S}}_{\alpha }\cap A_{s_0}\) be such that \(\lim _{n\rightarrow \infty }\Psi (u_n) ={\hat{m}}(\alpha )\). Since \({\hat{m}}(\alpha )<0\), it follows from (3.4) that for large \(n\in {\mathbb {N}}\),
which, together with (3.8), implies that for large \(n\in {\mathbb {N}}\),
For any \(\theta \in (1,c/\alpha ]\). Set \(v_n(x):=u_n(\theta ^{-1/3}x)\). Then \(\Vert v_n\Vert _2^2=\theta \Vert u_n\Vert _2^2=\theta \alpha \), \(\Vert v_n\Vert _p^p=\theta \Vert u_n\Vert _p^p\) for \(2\le p\le 6\), and
Hence, it follows from (1.15), (3.6), (3.10) and Lemma 3.1 (i) that
which implies that
If \({\hat{m}}(\alpha )\) is reached by \(u\in {\mathcal {S}}_{\alpha }\cap A_{s_0}\), then we choose \(u_n\equiv u\) in (3.11), and thus the strict inequality follows. Hence, it follows from (3.12) that
with a strict inequality if \({\hat{m}}(\alpha )\) or \({\hat{m}}(c-\alpha )\) is reached.
(ii) Let \(c\in (0, c_0)\) be arbitrary and \(\{{\tilde{c}}_n\}\subset (0, c_0)\) be such that \({\tilde{c}}_n \rightarrow c\). For any \(\alpha \in (0,c_0)\), by the definition of \({\hat{m}}(\alpha )\) and Lemma 3.4, one has \({\hat{m}}(\alpha )<0\). If \({\tilde{c}}_n<c\), then it follows from (i) that
If \({\tilde{c}}_n\ge c\), we let \(u_n\in {\mathcal {S}}_{{\tilde{c}}_n}\cap A_{s_0}\) be such that \(\Psi (u_n)\le {\hat{m}}({\tilde{c}}_n)+\frac{1}{n}\). Set \(v_n=\sqrt{\frac{c}{{\tilde{c}}_n}}u_n\). Then \(v_n\in {\mathcal {S}}_{c}\cap A_{s_0}\). Furthermore, we have
Combining (3.13) with (3.14), we have
Now, for any \(\varepsilon > 0\) sufficiently small, there exists \(u\in {\mathcal {S}}_{c}\cap A_{s_0}\) such that
Set \(w_n=\sqrt{\frac{{\tilde{c}}_n}{c}}u\). Then \(w_n\in {\mathcal {S}}_{{\tilde{c}}_n}\cap A_{s_0}\) for n large enough. Since \(\Psi (w_n)\rightarrow \Psi (u)\), then
Therefore, since \(\varepsilon > 0\) is arbitrary, we deduce that \({\hat{m}}({\tilde{c}}_n) \rightarrow {\hat{m}}(c)\) from the above inequality and (3.15). \(\square \)
Proof of Theorem 1.1
Let \(\{u_n\}\subset {\mathcal {S}}_c\cap A_{s_0}\) be a minimizing sequence for m(c). Since \(\{|u_n|\}\subset {\mathcal {S}}_c\cap A_{s_0}\) is also a minimizing sequence for m(c), so we can assume that \(u_n\ge 0\). Then by Lemma 3.4, we have
To obtain the existence of solutions for (1.1), we split the proof into several steps.
Step 1. Set \( \delta :=\limsup _{n\rightarrow \infty }\sup _{y\in {\mathbb {R}}^3}\int _{B_1(y)}|u_n|^2\textrm{d}x\). If \(\delta =0\), then by Lions’ concentration compactness principle [17, Lemma 1.21], we have \(u_n\rightarrow 0\) in \(L^{s}({\mathbb {R}}^3)\) for \(2<s<6\). It follows that
From (1.2), (1.8), (3.1), (3.2), (3.17) and (3.18), one has
This contradiction shows that \(\delta >0\) due to \(m(c)<0\).
Going if necessary to a subsequence, we may assume the existence of \(y_n\in {\mathbb {R}}^3\) such that
Let \({\tilde{u}}_n(x)=u_n(x+y_n)\). Then
and so there exists \({\tilde{u}}\in H^1({\mathbb {R}}^3){\setminus }\{0\}\) with \({\tilde{u}}\ge 0\) such that, passing to a subsequence,
Moreover, (3.17) gives
Step 2. Set \(v_n:={\tilde{u}}_n-{\tilde{u}}\). By (3.22), we have
and
Hence, by (1.2), (3.24), (3.25) and the Brezis–Lieb lemma, we have
Step 3. By (3.22) and (3.23), we have
Now, we claim that \(\Vert v_n\Vert _2^2\rightarrow 0\). In order to prove this, let us denote \({\tilde{c}}:= \Vert {\tilde{u}}\Vert _2^2>0\). By (3.27), if we show that \({\tilde{c}} = c\) then the claim follows. We assume by contradiction that \({\tilde{c}} < c\). In view of (3.24) and (3.27), for \(n\in {\mathbb {N}}\) large enough, we have
Hence, we obtain that
From (3.23), (3.26) and (3.29), we have
Since the map \(c \mapsto m(c)\) is continuous (see Lemma 3.5 (ii)) and in view of (3.27), we deduce
We also have that \({\tilde{u}}\in {\mathcal {S}}_{{\tilde{c}}}\cap \overline{A_{s_0}}\) by the weak limit. This implies that \(\Phi ({\tilde{u}})\ge m({\tilde{c}})\). If \(\Phi ({\tilde{u}})> m({\tilde{c}})\), then it follows from (3.31) and Lemma 3.5 (i) that
which is impossible. Hence, we have \(\Phi ({\tilde{u}})= m({\tilde{c}})\). So, using Lemma 3.5 (i) with the strict inequality, we deduce from (3.31) that
which is impossible. Thus, the claim follows and from (3.27) we deduce that \(\Vert {\tilde{u}}\Vert _2^2=c\) and so \({\tilde{u}}\in {\mathcal {S}}_{c}\cap \overline{A_{s_0}}\) by the weak limit. It follows from (1.8), (3.1), (3.2), (3.23), (3.26) and \(\Phi ({\tilde{u}}) \ge m(c)\) that
It follows from that \(\Vert \nabla v_n\Vert _2^2=o(1)\). Since \(\Vert v_n\Vert _2^2=o(1)\), we have \({\tilde{u}}_n\rightarrow {\tilde{u}}\) in \(H^1({\mathbb {R}}^3)\). Hence,
which, together with Lemma 3.4, implies \(\Vert \nabla {\tilde{u}}\Vert _2^2 < s_0\). Hence, Corollary 2.4 implies that \(\Phi |_{{\mathcal {S}}_c}'({\tilde{u}})=0\), and so there exists a Lagrange multiplier \({\tilde{\lambda }}_c\in {\mathbb {R}}\) such that
It is easy to verify that \(\tilde{\lambda }_{c}>0\). Since \({\tilde{u}}\ge 0\) and \({\tilde{u}}\ne 0\), the strong maximum principle implies that \({\tilde{u}}>0\). \(\square \)
Lemma 3.7
Let \(2<q<\frac{10}{3}\), \(\mu > 0\) and \(c\in (0,c_0)\). Then \({\hat{m}}(c)\) is reached by a positive, radially symmetric function, denoted \({\hat{u}}_c\in {\mathcal {S}}_c\cap A_{s_0}\) that satisfies, for a \(\lambda _c\in {\mathbb {R}}\),
Proof
Let \(\{u_n\}\subset {\mathcal {S}}_c\cap A_{s_0}\) be a minimizing sequence for \({\hat{m}}(c)\). It is not restrictive to assume that \(\{u_n\}\) is radially decreasing for every n (if this is not the case, we can replace \(u_n\) with \(|u_n|^*\), the Schwarz rearrangement of \(|u_n|\)). Then by Lemma 3.4, we have
Since \(\{u_n\}\subset H_{\textrm{rad}}^1({\mathbb {R}}^3)\) is bounded, we may thus assume, passing to a subsequence if necessary, that
To prove the lemma, we split the proof into several steps.
Step 1. \({\hat{u}}\ne 0\). Otherwise, we have \(u_n\rightarrow 0\) in \(L^{s}({\mathbb {R}}^3)\) for \(s\in (2,6)\). It follows that
From (1.8), (1.15), (3.1), (3.2), (3.34), (3.35) and (3.36), one has
This contradiction shows that \({\hat{u}}\ne 0\) due to \({\hat{m}}(c)<0\).
Step 2. Set \(v_n:=u_n-{\hat{u}}\). By (3.35), we have
and
Hence, by (1.15), (3.38), (3.39), Lemma 3.1 (ii) and the Brezis-Lieb lemma, we have
Step 3. By (3.34) and (3.35), we have
Now, we claim that \(\Vert v_n\Vert _2^2\rightarrow 0\). In order to prove this, let us denote \({\tilde{c}}:= \Vert {\hat{u}}\Vert _2^2>0\). By (3.41), if we show that \({\tilde{c}} = c\) then the claim follows. We assume by contradiction that \({\tilde{c}} < c\). In view of (3.38) and (3.41), for \(n\in {\mathbb {N}}\) large enough, we have
Hence, we obtain that
From (3.34), (3.40) and (3.43), we have
Since the map \(c \mapsto {\hat{m}}(c)\) is continuous (see Lemma 3.6 (ii)) and (3.41), we deduce
We also have that \({\hat{u}}\in {\mathcal {S}}_{{\tilde{c}}}\cap \overline{A_{s_0}}\) by the weak limit. This implies that \(\Psi ({\hat{u}})\ge {\hat{m}}({\tilde{c}})\). If \(\Psi ({\hat{u}})> {\hat{m}}({\tilde{c}})\), then
which is impossible. Hence, we have \(\Psi ({\hat{u}})= {\hat{m}}({\tilde{c}})\). So, using Lemma 3.6 (i) with the strict inequality, we deduce from (3.45) that
which is impossible. Thus, the claim follows and from (3.41) we deduce that \(\Vert {\hat{u}}\Vert _2^2=c\) and so \({\hat{u}}\in {\mathcal {S}}_{c}\cap \overline{A_{s_0}}\) by the weak limit. It follows from (1.8), (3.1), (3.2), (3.34), (3.40), (3.41) and \(\Psi ({\hat{u}}) \ge \) \({\hat{m}}(c)\) that
It follows from that \(\Vert \nabla v_n\Vert _2^2=o(1)\). Since \(\Vert v_n\Vert _2^2=o(1)\), we have \(u_n\rightarrow {\hat{u}}\) in \(H_{\textrm{rad}}^1({\mathbb {R}}^3)\). Hence,
which, together with Lemma 3.4, implies \(\Vert \nabla {\hat{u}}\Vert _2^2 < s_0\). Hence, Corollary 2.4 implies that \(\Psi |_{{\mathcal {S}}_c}'({\hat{u}})=0\), and so there exists a Lagrange multiplier \(\lambda _c\in {\mathbb {R}}\) such that \(\Psi '({\hat{u}})+\lambda _c{\hat{u}}=0\), which implies (3.33) holds with \({\hat{u}}_c={\hat{u}}\). Since \({\hat{u}}_c\ge 0\) and \({\hat{u}}_c\ne 0\), the strong maximum principle implies that \({\hat{u}}_c>0\). \(\square \)
Since \(\Psi '({\hat{u}}_c)+\lambda _c{\hat{u}}_c=0\), by a standard argument, we have the following lemma immediately.
Lemma 3.8
Let \(2<q<\frac{10}{3}\), \(\mu > 0\) and \(c\in (0,c_0)\). Then there holds
To apply Lemma 2.5, we let \(E=H_{\textrm{rad}}^1({\mathbb {R}}^3)\) and \(H=L^2({\mathbb {R}}^3)\). Define the norms of E and H by
After identifying H with its dual, we have \(E\hookrightarrow H \hookrightarrow E^*\) with continuous injections. Set
Let us define a continuous map \( \beta : H_{\textrm{rad}}^1({\mathbb {R}}^3)\times {\mathbb {R}}\rightarrow H^1({\mathbb {R}}^3)\) by
and consider the following auxiliary functional:
We see that \({\tilde{\Phi }}\) is of class \({\mathcal {C}}^1\), and for any \((w,s)\in H_{\textrm{rad}}^1({\mathbb {R}}^3)\times {\mathbb {R}}\),
Let
Then
This shows that
It follows from (3.52), (3.53) and (3.55) that
and
Lemma 3.9
Let \(2<q<\frac{10}{3}\), \(\mu > 0\) and \(c\in (0,c_0)\). Then there exists \(\kappa >0\) such that
where
Proof
Set \(\kappa :=\inf _{u\in \partial ({\mathcal {S}}_c\cap A_{s_0})}\Phi (u)\). By (3.5), \(\kappa >0\). Let \(\gamma \in \Gamma _{c}\) be arbitrary. By Lemma 3.7, \(\gamma (0)={\hat{u}}_c\in ({\mathcal {S}}_c\cap A_{s_0}) {\setminus } (\partial ({\mathcal {S}}_c\cap A_{s_0}))\), and \(\Phi (\gamma (1))<2\,m(c)<m(c)<0\), necessarily in view of (3.5), \(\gamma (1)\not \in {\mathcal {S}}_c\cap \overline{A_{s_0}}\). By continuity of \(\gamma (t)\) on [0, 1], there exists a \(t_0 \in (0,1)\) such that \(\gamma (t_0)\in \partial ({\mathcal {S}}_c\cap A_{s_0})\), and so \(\max _{t\in [0, 1]}\Phi (\gamma (t))\ge \kappa \). Since \(\Phi (\gamma (0)) =\Phi ({\hat{u}}_c)<\Psi ({\hat{u}}_c)={\hat{m}}(c)<0\). Thus, (3.58) holds. \(\square \)
Remark 3.10
In Lemma 3.9, one may wonder why the starting point of the path set \(\Gamma _{c}\), defined by (3.59), is chosen as \({\hat{u}}_c\) (the solution of the auxiliary problem (3.33)), rather than the solution of the original constraint problem (1.1) as we did previously in the case of \(b=0\) ( [5, Lemma 4.2]). It is worth noting that when \(2<q<\frac{10}{3}\), the new compactness threshold for the constraint problem (1.1) is \({\hat{m}}(c)+\Theta ^*\), not \(m(c)+\Theta ^*\) as in the case of \(b=0\), as we mentioned in Remark 1.7 and subsequent remarks after it. Importantly, \({\hat{u}}_c\) is precisely the minimizer of \({\hat{m}}(c)\), which will be crucial in our subsequent proof of Lemma 3.12 that the mountain pass level is below the compactness threshold. Therefore, the solution of the original constraint problem (1.1) is not suitable as the starting point of the path set. This reveals an essential difference between the constraint problem (1.1) in the case of \(b=0\) and \(b>0\), and also explains why the methods developed for the study of the case \(b=0\) cannot be directly applied to the case \(b>0\).
Lemma 3.11
Let \(2<q<\frac{10}{3}\), \(\mu > 0\) and \(c\in (0,c_0)\). Then there exists a sequence \(\{u_n\}\subset {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\) such that
Proof
By Lemma 3.7, \({\hat{u}}_c\in {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\). Let \({\tilde{\Phi }}\) be defined by (3.51),
and
For any \({\tilde{\gamma }}\in {\tilde{\Gamma }}_c\), it is easy to see that \(\gamma =\beta \circ {\tilde{\gamma }}\in \Gamma _c\) defined by (3.59). By (3.58), there exists \(\kappa _c'>0\) such that
It follows that \({\tilde{M}}(c)\ge M(c)\), and
This shows that (2.13) holds with \({\tilde{\varphi }}={\tilde{\Phi }}\).
On the other hand, for any \(\gamma \in \Gamma _c\), let \({\tilde{\gamma }}(t):=(\gamma (t),0)\). It is easy to verify that \({\tilde{\gamma }}\in {\tilde{\Gamma }}_c\) and \(\Phi (\gamma (t))={\tilde{\Phi }}({\tilde{\gamma }}(t))\), and so, we trivially have \({\tilde{M}}(c)\le M(c)\). Thus \({\tilde{M}}(c) = M(c)\).
For any \(n\in {\mathbb {N}}\), (3.59) implies that there exists \(\gamma _n\in \Gamma _c\) such that
Set \({\tilde{\gamma }}_n(t):=(\gamma _n(t),0)\). Then applying Lemma 2.5 to \({\tilde{\Phi }}\), there exists a sequence \(\{(v_n,t_n)\}\subset ({\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3))\times {\mathbb {R}}\) satisfying
-
(i)
\(M(c)-\frac{2}{n}\le {\tilde{\Phi }}(v_n,t_n)\le M(c)+\frac{2}{n}\);
-
(ii)
\(\min _{t\in [0,1]}\Vert (v_n,t_n)-(\gamma _n(t),0)\Vert _{E\times {\mathbb {R}}}\le \frac{2}{\sqrt{n}}\);
-
(iii)
\(\left\| {\tilde{\Phi }}|_{{\mathcal {S}}_c\times {\mathbb {R}}}'(v_n,t_n)\right\| \le \frac{8}{\sqrt{n}}\).
Let \(u_n=\beta (v_n,t_n)\). It follows from (3.56), (3.57) and (i)–(iii) that (3.60) holds. \(\square \)
Now we define functions \(U_n(x):=\Theta _n(|x|)\), where
Computing directly, we have
and
Both (3.66) and (3.67) imply that \(U_n\in H_{\textrm{rad}}^1({\mathbb {R}}^3)\).
Lemma 3.12
Let \(2<q<\frac{10}{3}\), \(\mu > 0\) and \(c\in (0,c_0)\). Then there holds:
Proof
Let \({\hat{u}}_c\in {\mathcal {S}}_c\cap H_{\textrm{rad}}^1({\mathbb {R}}^3)\) be given in Lemma 3.7. Then by Lemmas 3.7 and 3.8, we have
and
Set \(B:=\inf _{|x|\le 1}{\hat{u}}_c(x)\). Then \(B>0\). Hence, it follows from (3.65), (3.66) and (3.71) that
and
Let \(\tau =\tau _{n,t}:=\Vert {\hat{u}}_c+tU_n\Vert _2/\sqrt{c}\). Then
Now, we define
Then one has
and
Set
Then (3.71) can be rewritten as
By (1.9) and (3.81), we can deduce
It is easy to verify that
and
From (1.2), (1.15), (3.66)–(3.68), (3.70) and (3.72)–(3.85), we have
Hence, it follows from (3.87) that there exists \({\bar{n}}\in {\mathbb {N}}\) such that
Next, we prove that (3.69) holds. Let \({\bar{n}}\in {\mathbb {N}}\) be given in (3.88). By (3.76), (3.78), (3.79) and (3.80), we have
and
where
It follows from (3.86), (3.89) and (3.90) that \(W_{{\bar{n}},t}\in {\mathcal {S}}_c\) for all \(t>0\), \(W_{{\bar{n}},0}={\hat{u}}_c\) and \(\Phi (W_{{\bar{n}},t}) <2m(c)\) for large \(t>0\). Thus, there exists \({\hat{t}}>0\) such that
Let \(\gamma _{{\bar{n}}}(t):=W_{{\bar{n}},t{\hat{t}}}\). Then \(\gamma _{{\bar{n}}}\in \Gamma _{c}\) defined by (3.59). Hence, it follows from (3.58) and (3.88) that (3.69) holds. \(\square \)
Proof of Theorems 1.2
In view of Lemmas 3.11 and 3.12, there exists \(\{u_n\}\subset {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\) such that
It follows from (1.2), (1.17) and (3.93) that
and
Both (3.94) and (3.95), together with (1.16), show that
Since \(2<q<\frac{10}{3}\), it follows that \(\{\Vert u_n\Vert \}\) is bounded. By Lemma 2.2, one has
where
Since \(\{\Vert u_n\Vert \}\) is bounded, it follows from (3.98) that \(\{|\lambda _n|\}\) is also bounded. Thus, we may thus assume, passing to a subsequence if necessary, that
First, we prove that \({\bar{u}}\ne 0\). Otherwise, we assume that \({\bar{u}} =0\). Then \(\Vert u_n\Vert _q^q\rightarrow 0\). It follows from (3.95) that
Up to a subsequence, we assume that
Then it follows from (1.8), (3.100) and (3.101) that \(a{\hat{l}}_1+b{\hat{l}}_1^2={\hat{l}}_2\le {\mathcal {S}}^{-3}{\hat{l}}_1^3\). If \({\hat{l}}_1 > 0\), an elementary calculation yields that
From (3.94), (3.100), (3.101) and (3.102), we obtain
which contradicts with (3.93). Thus, \(\Vert \nabla u_n\Vert _2^2\rightarrow 0\), and so it follows from (3.94) that \(M(c)=0\), which contradicts with (3.93) also. Therefore, \({\bar{u}}\ne 0\).
Define I(u) as follows:
By (3.97), (3.98), (3.99) and (3.103) and a standard argument, we can deduce
It follows that
By the Pohozaev type identity for the functional (3.103), one has
Combining (3.105) with (3.106), one has
and
Let \(v_n:=u_n-{\bar{u}}\). Then \(v_n\rightharpoonup 0\) in \(H_{\textrm{rad}}^1({\mathbb {R}}^3)\) and \(v_n\rightarrow 0\) in \(L^s({\mathbb {R}}^3)\) for all \(s\in (2,6)\). Using Brezis–Lieb lemma, one has
From (3.95), (3.107), and (3.109), we deduce
Up to a subsequence, we assume that
Then it follows from (3.110) and (3.111) that
If \(l_1 > 0\), by (1.8), (3.111) and (3.112), we have
which implies
From (1.2), (3.94), (3.109) and (3.110), we obtain
There are two cases to distinguish.
Case 1). \(\Vert \nabla {\bar{u}}\Vert _2^2<s_0\). Then it follows from Lemmas 3.4 and 3.6 that
From (1.15), (3.111), (3.113), (3.114) and (3.115), we obtain
which contradicts with (3.93).
Case 2). \(\Vert \nabla {\bar{u}}\Vert _2^2\ge s_0\). Then it follows from (1.2), (1.12), (1.16), (3.107), (3.109), (3.111) and (3.114) that
which contradicts with (3.93). Both Cases 1) and 2) show that \(l_1=0\), i.e. \(\Vert \nabla v_n\Vert \rightarrow 0\), and so
Now from (1.2), (3.93), (3.94), (3.97), (3.98), (3.99), (3.105), (3.108) and (3.116), it is easy to deduce that
\(\square \)
4 The case when \(\frac{10}{3}\le q<\frac{14}{3}\)
In this section, we study the case \(\frac{10}{3}\le q<\frac{14}{3}\), and finish the proof of Theorem 1.3.
Lemma 4.1
Let \(\frac{10}{3}\le q<\frac{14}{3}\), \(\mu > 0\) and \(c\in (0,c_2]\). Then
-
(i)
there exist \(\vartheta _c'>\vartheta _c>0\) such that \(\Phi (u)>0\) if \(u\in A_{\vartheta _c'}\), and
$$\begin{aligned} 0<\sup _{u\in A_{\vartheta _c}}\Phi (u)<\inf \left\{ \Phi (u): u\in {\mathcal {S}}_c, \ \Vert \nabla u\Vert _2^2= \vartheta _c' \right\} , \end{aligned}$$(4.1)where
$$\begin{aligned} A_{\vartheta _c}=\left\{ u\in {\mathcal {S}}_c: \Vert \nabla u\Vert _2^2< \vartheta _c\right\} \ \ \hbox {and} \ \ { { A_{\vartheta _c'}=\left\{ u\in {\mathcal {S}}_c: \Vert \nabla u\Vert _2^2 < \vartheta _c'\right\} }}; \end{aligned}$$(4.2) -
(ii)
\({\hat{\Gamma }}_{c}=\{\gamma \in {\mathcal {C}}([0,1],{\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)):\Vert \nabla \gamma (0)\Vert _2^2< \vartheta _c, \Phi (\gamma (1))<0\}\ne \emptyset \) and
$$\begin{aligned} {\hat{M}}(c)&:= \inf _{\gamma \in {\hat{\Gamma }}_{c}}\max _{t\in [0,1]}\Phi (\gamma (t)) \ge {\hat{\kappa }}_{c}:=\inf \left\{ \Phi (u): u\in {\mathcal {S}}_c, \Vert \nabla u\Vert _2^2 = { {\vartheta _c' }}\right\} \nonumber \\&> \max _{\gamma \in {\hat{\Gamma }}_{c}}\max \{\Phi (\gamma (0)),\Phi (\gamma (1))\}. \end{aligned}$$(4.3)
Proof
(i) We distinguish two cases.
Case 1). \(\frac{10}{3}< q<\frac{14}{3}\). In this case, one has \(0<\frac{3q-10}{2}<2\). By (1.2), (1.8) and (1.16), one has
and
Since \(0<\frac{3q-10}{2}<2\), the above inequalities show that there exist \(\vartheta _c'>\vartheta _c>0\) such that (i) holds.
Case 2). \(q=\frac{10}{3}\). By (1.2), (1.8) and (1.16), one has
Since \(c\le c_2\), the above inequality and (4.4) show that there exist \(\vartheta _c'>\vartheta _c>0\) such that (i) holds also.
(ii) For any given \(w\in {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\), we have \(\Vert t^{3/2}w_t\Vert _2=\Vert w\Vert _2\), and so \(t^{3/2}w_t\in {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\) for every \(t>0\). Then (1.2) yields
Thus we can deduce that there exist \(t_1>0\) small enough and \(t_2>0\) large enough such that
Let \(\gamma _0(t):=[t_1+(t_2-t_1)t]^{3/2}w_{t_1+(t_2-t_1)t}\). Then \(\gamma _0\in {\hat{\Gamma }}_{c}\), and so \({\hat{\Gamma }}_{c}\ne \emptyset \). Now using the intermediate value theorem, for any \(\gamma \in {\hat{\Gamma }}_{c}\), there exists \(t_0\in (0,1)\), depending on \(\gamma \), such that \(\Vert \nabla \gamma (t_0)\Vert _2^2=\vartheta _c'\) and
which, together with the arbitrariness of \(\gamma \in {\hat{\Gamma }}_{c}\), implies
Hence, (4.3) follows directly from (4.1) and (4.7), and the proof is completed. \(\square \)
Lemma 4.2
Let \(\frac{10}{3}\le q<\frac{14}{3}\), \(\mu > 0\) and \(c\in (0,c_2]\). Then there exists a sequence \(\{u_n\}\subset {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\) such that
Proof
Let \({\tilde{\Phi }}\) be defined by (3.51),
and
For any \({\tilde{\gamma }}\in {\tilde{\Gamma }}_c\), it is easy to see that \(\gamma =\beta \circ {\tilde{\gamma }}\in {\hat{\Gamma }}_c\). By (4.3), there exists \({\hat{\kappa }}_c'\in (0,{\hat{\kappa }}_c)\) such that
It follows that \({\tilde{M}}(c)\ge {\hat{M}}(c)\), and
This shows that (2.13) holds with \({\tilde{\varphi }}={\tilde{\Phi }}\).
On the other hand, for any \(\gamma \in {\hat{\Gamma }}_c\), let \({\tilde{\gamma }}(t):=(\gamma (t),0)\). It is easy to verify that \({\tilde{\gamma }}\in {\tilde{\Gamma }}_c\) and \(\Phi (\gamma (t))={\tilde{\Phi }}({\tilde{\gamma }}(t))\), and so, we trivially have \({\tilde{M}}(c)\le {\hat{M}}(c)\). Thus \({\tilde{M}}(c) = {\hat{M}}(c)\).
For any \(n\in {\mathbb {N}}\), (4.3) implies that there exists \(\gamma _n\in {\hat{\Gamma }}_c\) such that
Set \({\tilde{\gamma }}_n(t):=(\gamma _n(t),0)\). Then applying Lemma 2.5 to \({\tilde{\Phi }}\), there exists a sequence \(\{(v_n,t_n)\}\subset ({\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3))\times {\mathbb {R}}\) satisfying
-
(i)
\({\hat{M}}(c)-\frac{2}{n}\le {\tilde{\Phi }}(v_n,t_n)\le {\hat{M}}(c)+\frac{2}{n}\);
-
(ii)
\(\min _{t\in [0,1]}\Vert (v_n,t_n)-(\gamma _n(t),0)\Vert _{E\times {\mathbb {R}}}\le \frac{2}{\sqrt{n}}\);
-
(iii)
\(\left\| {\tilde{\Phi }}|_{{\mathcal {S}}_c\times {\mathbb {R}}}'(v_n,t_n)\right\| \le \frac{8}{\sqrt{n}}\).
Let \(u_n=\beta (v_n,t_n)\). It follows from (3.56), (3.57) and (i)–(iii) that (4.8) holds. \(\square \)
Next, we give a precise estimation for the energy level \({\hat{M}}(c)\) given by (4.3) when \(\frac{10}{3}\le q<\frac{14}{3}\). To this end, for any fixed \(c>0\), we choose \(\max \{(14-3q)/8,0\}<\alpha <1\) and \(R_n> n^{\alpha }\) to be such that
From (4.13), one can deduce that
Now, we define function \({\tilde{U}}_n(x):={\tilde{\Theta }}_n(|x|)\), where
Computing directly, we have
and
Both (4.16) and (4.18) imply that \({\tilde{U}}_n\in {\mathcal {S}}_c\).
Lemma 4.3
Let \(\frac{10}{3}\le q<6\), \(\mu >0\) and \(c>0\). Then there exists \({\bar{n}}\in {\mathbb {N}}\) such that
Proof
Set
By (1.9) and (4.21), we can deduce
From (1.2), (4.17), (4.18) and (4.19), we have
Hence, it follows from (4.22), (4.23) and the fact \(\max \{(14-3q)/8,0\}<\alpha <1\) that there exists \({\bar{n}}\in {\mathbb {N}}\) such that (4.20) holds. \(\square \)
Lemma 4.4
Let \(\frac{10}{3}\le q<\frac{14}{3}\), \(\mu >0\) and \(c\in (0,c_2]\). Then there holds
Proof
Let \({\bar{n}}\in {\mathbb {N}}\) be given by (4.20). Then it follows from (1.2) that
By (4.25), we can deduce that there exist \(t_1>0\) small enough and \(t_2>0\) large enough such that
Let \(\gamma _0(t):=[t_1+(t_2-t_1)t]^{3/2}({\tilde{U}}_{{\bar{n}}})_{t_1+(t_2-t_1)t}\). Then \(\gamma _0\in {\hat{\Gamma }}_{c}\) which is defined by Lemma 4.1. Therefore, we have by Lemma 4.3
This shows (4.24) holds. \(\square \)
Proof of Theorems 1.3
In view of Lemmas 4.2 and 4.4, there exists \(\{u_n\}\subset {\mathcal {S}}_c\cap H^1_{\textrm{rad}}({\mathbb {R}}^3)\) such that
It follows from (1.2), (1.16), (1.17) and (4.27) that
Since \(\frac{10}{3}\le q<\frac{14}{3}\), it follows that \(\{\Vert u_n\Vert \}\) is bounded. Similar to the proof of Theorem 1.2, one has (3.96)–(3.114) instead of M(c) by \({\hat{M}}(c)\). From (1.14), (3.107), (3.110), (3.113) and (3.114), we have
which contradicts with (4.27). This shows that \(l_1=0\), i.e. \(\Vert \nabla v_n\Vert \rightarrow 0\), and so
Now from (1.2), (3.97), (3.98), (3.99), (3.105), (3.108), (4.27) and (4.30), it is easy to deduce that
\(\square \)
5 The case when \(\frac{14}{3}\le q<6\)
In this section, we study the case \(\frac{14}{3}\le q<6\), and finish the proofs of Theorems 1.4 and 1.5.
Let us define the following function
It is easy to see that \(h(t)>h(1)=0\) for all \(t\in [0,1)\cup (1,+\infty )\). With it, we establish the following crucial inequality,
Lemma 5.1
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then there holds
Proof
Since \(\frac{14}{3} \le q < 6\), it is easy to see that
From (1.2), (1.17), (5.1) and (5.3), one has
\(\square \)
From Lemma 5.1, we have the following corollary.
Corollary 5.2
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then for \(u\in {\mathcal {M}}(c)\), there holds
Lemma 5.3
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then for any \(u\in {\mathcal {S}}_c\), there exists a unique \(t_u>0\) such that \(t_u^{3/2}u_{t_u}\in {\mathcal {M}}(c)\).
The proof of Lemma 5.3 is standard, so we omit it.
From Corollary 5.2 and Lemma 5.3, we have the following lemma.
Lemma 5.4
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then
By the Brezis–Lieb lemma, we have the following lemma.
Lemma 5.5
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). If \(u_n\rightharpoonup {\bar{u}}\) in \(H^1({\mathbb {R}}^3)\), then
and
Lemma 5.6
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then
-
(i)
there exists \(\vartheta _0>0\) such that \(\Vert \nabla u\Vert _2\ge \vartheta _0, \ \forall \ u\in {\mathcal {M}}(c)\);
-
(ii)
\({\tilde{m}}(c)>0\).
Proof
(i) Since \({\mathcal {P}}(u)=0, \ \forall \ u\in {\mathcal {M}}(c)\), by (1.8), (1.16) and (1.17), one has
which implies
Since \(\frac{14}{3}\le q<6\), then the above inequality shows there exists \(\vartheta _0>0\) such that
(ii) From (1.2), (1.17) and (5.9), we have
This shows that \({\tilde{m}}(c)=\inf _{u\in {\mathcal {M}}(c)}\Phi (u)>0\). \(\square \)
Lemma 5.7
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then the function \(c \mapsto {\tilde{m}}(c)\) is nonincreasing on \((0,+\infty )\). In particular, if \({\tilde{m}}(c_0')\) is achieved, then \({\tilde{m}}(c_0') > {\tilde{m}}(c_2')\) for any \(c_2' > c_0'\).
Proof
For any \(c_2'> c_0' > 0\), it follows from the definition of \({\tilde{m}}(c_0')\) that there exists \(\{u_n\} \subset {\mathcal {M}}(c_0')\) such that
Let \(\theta :=\sqrt{c_2'/c_0'}\) and \(v_n(x):=\theta ^{-1/2}u_n\left( x/\theta \right) \). Then \(\Vert \nabla v_n\Vert _2^2=\Vert \nabla u_n\Vert _2^2\), \(\Vert v_n\Vert _{6}^{6}=\Vert u_n\Vert _{6}^{6}\), \(\Vert v_n\Vert _{q}^{q}=\theta ^{3-q/2}\Vert u_n\Vert _{q}^{q}\) and \(\Vert v_n\Vert _2^2=c_2'\). By Lemma 5.3, there exists \(t_n > 0\) such that \(t_n^{3/2}(v_n)_{t_n}\in {\mathcal {M}}(c_2')\). Then it follows from (1.2), (5.11) and Corollary 5.2 that
which shows that \({\tilde{m}}(c_2') \le {\tilde{m}}(c_0')\) by letting \(n\rightarrow \infty \).
If \({\tilde{m}}(c_0')\) is achieved, i.e., there exists \({\tilde{u}}\in {\mathcal {M}}(c_0')\) such that \(\Phi ({\tilde{u}})={\tilde{m}}(c_0')\). By the same argument as in (5.12), we can obtain that \({\tilde{m}}(c_2')<{\tilde{m}}(c_0')\). \(\square \)
By Lemma 4.3, we have the following lemma.
Lemma 5.8
Let \(\frac{14}{3}\le q<6\), \(\mu >0\) and \(c>0\). Then there holds
Lemma 5.9
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). Then \({\tilde{m}}(c)\) is achieved.
Proof
In view of Lemmas 5.3 and 5.6, we have \({\mathcal {M}}(c) \ne \emptyset \) and \({\tilde{m}}(c)>0\). Let \(\{u_n\}\subset {\mathcal {M}}(c)\) be such that \(\Phi (u_n)\rightarrow {\tilde{m}}(c)\). It follows from (1.2) and (1.17) that
and
From (5.14) and (5.15), one has
This shows that \(\{\Vert \nabla u_n\Vert _2\}\) is bounded, and so \(\{u_n\}\) is bounded in \(H^1({\mathbb {R}}^3)\).
Let \(\delta :=\limsup _{n\rightarrow \infty }\sup _{y\in {\mathbb {R}}^3}\int _{B_1(y)}|u_n|^2\textrm{d}x\). We show that \(\delta >0\). Otherwise, in light of Lions’ concentration compactness principle [17, Lemma 1.21], \(\Vert u_n\Vert _q \rightarrow 0\). Hence, it follows from (5.15) that
Up to a subsequence, we assume that
If \(l = 0\), then it follows from (5.14) and (5.18) that \({\tilde{m}}(c)=0\), a contradiction. If \(l > 0\), by Sobolev inequality (1.8) and (5.18), we have
Hence, it follows from (5.14), (5.15), (5.18), (5.19), the definition of \(\{u_n\}\) and \(\Vert u_n\Vert _q\rightarrow 0\) that
which contradicts (5.13). Thus \(\delta >0\). Without loss of generality, we may assume the existence of \(y_n\in {\mathbb {R}}^3\) such that \(\int _{B_{1}(y_n)}|u_n|^2\textrm{d}x> \frac{\delta }{2}\). Let \({\hat{u}}_n(x)=u_n(x+y_n)\). Then we have
Therefore, there exists \({\hat{u}}\in H^1({\mathbb {R}}^3)\setminus \{0\}\) such that, passing to a subsequence,
Let \(w_n={\hat{u}}_n-{\hat{u}}\). Then (5.22) and Lemma 5.5 yield
and
Set
Then it follows from (1.2), (1.17), (5.21), (5.23), (5.24) and (5.25) that
and
If there exists a subsequence \(\{w_{n_i}\}\) of \(\{w_n\}\) such that \(w_{n_i}=0\), then going to this subsequence, we have
which implies the conclusion of Lemma 5.9 holds. Next, we assume that \(w_n\ne 0\). By (5.21) and (5.22), one has
This implies that \(\Vert {\hat{u}}\Vert _2^2:={\hat{c}}\le c\) and \(\Vert w_n\Vert _2^2:={\tilde{c}}_n\le c\) for large \(n\in {\mathbb {N}}\). We claim that \({\mathcal {P}}({\hat{u}})\le 0\). Otherwise, if \({\mathcal {P}}({\hat{u}})>0\), then (5.27) implies \({\mathcal {P}}(w_n) < 0\) for large n. In view of Lemma 5.3, there exists \(t_n>0\) such that \(t_n^{3/2}(w_n)_{t_n}\in {\mathcal {M}}({\tilde{c}}_n)\). From (1.2), (1.17), (5.2), (5.26), (5.27), Lemma 5.1 and Lemma 5.7, we obtain
which implies \({\mathcal {P}}({\hat{u}})\le 0\) due to \(Q({\hat{u}})>0\). Since \({\hat{u}}\ne 0\) and \({\mathcal {P}}({\hat{u}})\le 0\), in view of Lemma 5.3, there exists \({\hat{t}}>0\) such that \({\hat{t}}^{3/2}{\hat{u}}_{{\hat{t}}}\in {\mathcal {M}}({\hat{c}})\). From (1.2), (1.17), (5.2), (5.26), (5.27), Lemmas 5.1, 5.7, Fatou’s lemma and the weak semicontinuity of norm, one has
which implies
This shows \({\tilde{m}}({\hat{c}})\) is achieved. In view of Lemma 5.7, \({\hat{c}}=c\). Thus, (5.28) holds also, i.e. the conclusion of Lemma 5.9 holds. \(\square \)
Lemma 5.10
Let \(\frac{14}{3}\le q < 6\), \(\mu >0\) and \(c>0\). If \({\bar{u}}\in {\mathcal {M}}(c)\) and \(\Phi ({\bar{u}})={\tilde{m}}(c)\), then \({\bar{u}}\) is a critical point of \(\Phi \) on \({\mathcal {S}}_c\), i.e. \(\Phi |_{{\mathcal {S}}_c}'({\bar{u}})=0\).
Proof
Assume that \(\Phi |_{{\mathcal {S}}_c}'({\bar{u}})\ne 0\). Then there exist \(\delta >0\) and \(\varrho >0\) such that
It is easy to see that
Thus, there exists \(\delta _1\in (0, 1/4)\) such that
In view of Lemma 5.1, one has
It follows from (1.17) that there exist \(T_1\in (0,1/2)\) and \(T_2\in (3/2, +\infty )\) such that
Let
Then Lemma 2.1 yields a deformation \(\eta \in {\mathcal {C}}([0, 1]\times {\mathcal {S}}_c, {\mathcal {S}}_c)\) such that
-
(i)
\(\eta (1, u)=u\) if \(\Phi (u)<{\tilde{m}}(c)-2\varepsilon \) or \(\Phi (u)>{\tilde{m}}(c)+2\varepsilon \);
-
(ii)
\(\eta \left( 1, \Phi ^{{\tilde{m}}(c)+\varepsilon }\cap S\right) \subset \Phi ^{{\tilde{m}}(c)-\varepsilon }\);
-
(iii)
\(\Phi (\eta (1, u))\le \Phi (u), \ \forall \ u\in {\mathcal {S}}_c\);
-
(iv)
\(\eta (1, u)\) is a homeomorphism of \({\mathcal {S}}_c\).
By Corollary 5.2, \(\Phi \left( t^{\frac{3}{2}}{\bar{u}}_t\right) \le \Phi ({\bar{u}}) ={\tilde{m}}(c)\) for \(t> 0\), then it follows from (5.34) and ii) that
On the other hand, by iii) and (5.35), one has
where
Combining (5.37) with (5.38), we have
Define \(\Psi _0(t):={\mathcal {P}}\left( \eta \left( 1, t^{\frac{3}{2}}{\bar{u}}_t\right) \right) \) for \(t> 0\). It follows from (5.35) and (i) that \(\eta \left( 1, t^{\frac{3}{2}}{\bar{u}}_t\right) =t^{\frac{3}{2}}{\bar{u}}_t\) for \(t=T_1\) and \(t=T_2\), which, together with (5.36), implies
Since \(\Psi _0(t)\) is continuous on \((0, \infty )\), then we have that \(\eta \left( 1, t^{\frac{3}{2}}{\bar{u}}_t\right) \cap {\mathcal {M}}(c)\ne \emptyset \) for some \(t_0\in [T_1, T_2]\), contradicting the definition of \({\tilde{m}}(c)\). \(\square \)
Proof of Theorem 1.4
It follows directly combining Lemmas 5.9 and 5.10. \(\square \)
6 The case when \(\mu \le 0\)
In this section, we shall prove Theorem 1.5.
Proof of Theorem 1.5
Assume that \((u,\lambda ) \in H^1 ({\mathbb {R}}^3) \times (0, +\infty )\) is a solution of Eq. (1.1). Then it follows from (1.1) and the Pohozaev type identity that
and
Combining (6.1) with (6.2), we have
which is a contradiction. \(\square \)
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Acknowledgements
The authors would like to express their sincere gratitude to the anonymous referee for his/her careful reading and valuable suggestions and comments. This work is partially supported by the National Natural Science Foundation of China (No. 12371181, No. 12471175) and by the Hunan Provincial Natural Science Foundation (No. 2022JJ20048, No. 2021JJ40703).
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Chen, S., Tang, X. Normalized solutions for Kirchhoff equations with Sobolev critical exponent and mixed nonlinearities. Math. Ann. (2024). https://doi.org/10.1007/s00208-024-02982-x
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DOI: https://doi.org/10.1007/s00208-024-02982-x