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Normalized ground states for the critical fractional NLS equation with a perturbation
Revista Matemática Complutense ( IF 0.8 ) Pub Date : 2021-02-23 , DOI: 10.1007/s13163-021-00388-w
Maoding Zhen , Binlin Zhang

In this paper, we study normalized ground states for the following critical fractional NLS equation with prescribed mass:

$$\begin{aligned} {\left\{ \begin{array}{ll} (-\Delta )^{s}u=\lambda u +\mu |u|^{q-2}u+|u|^{2_{s}^{*}-2}u,&{}x\in \mathbb {R}^{N}, \\ \int _{\mathbb {R}^{N}}u^{2}dx=a^{2},\\ \end{array}\right. } \end{aligned}$$

where \((-\Delta )^{s}\) is the fractional Laplacian, \(0<s<1\), \(N>2s\), \(2<q<2_{s}^{*}=2N/(N-2s)\) is a fractional critical Sobolev exponent, \(a>0\), \(\mu \in \mathbb {R}\). By using Jeanjean’s trick in Jeanjean (Nonlinear Anal 28:1633–1659, 1997), and the standard method which can be found in Brézis and Nirenberg (Commun Pure Appl Math 36:437–477, 1983) to overcome the lack of compactness, we first prove several existence and nonexistence results for a \(L^{2}\)-subcritical (or \(L^{2}\)-critical or \(L^{2}\)-supercritical) perturbation \(\mu |u|^{q-2}u\), then we give some results about the behavior of the ground state obtained above as \(\mu \rightarrow 0^{+}\). Our results extend and improve the existing ones in several directions.



中文翻译:

具有扰动的临界分数NLS方程的归一化基态

在本文中,我们研究具有规定质量的以下临界分数NLS方程的归一化基态:

$$ \ begin {aligned} {\ left \ {\ begin {array} {ll}(-\ Delta)^ {s} u = \ lambda u + \ mu | u | ^ {q-2} u + | u | ^ {2_ {s} ^ {*}-2} u,&{} x \ in \ mathbb {R} ^ {N},\\ \ int _ {\ mathbb {R} ^ {N}} u ^ { 2} dx = a ^ {2},\\ \ end {array} \ right。} \ end {aligned} $$

其中\((-\ Delta)^ {s} \)是分数拉普拉斯算子,\(0 <s <1 \)\(N> 2s \)\(2 <q <2_ {s} ^^ ** } = 2N /(N-2s)\)是分数临界Sobolev指数\(a> 0 \)\(\ mu \ in \ mathbb {R} \)。通过使用Jeanjean中的Jeanjean技巧(非线性分析28:1633–1659,1997),以及在Brézis和Nirenberg中找到的标准方法(Commun Pure Appl Math 36:437–477,1983),可以克服紧凑性的不足,我们首先证明\(L ^ {2} \)-亚临界(或\(L ^ {2} \)-临界或\(L ^ {2} \)-超临界)摄动\( \ mu | u | ^ {q-2} u \),然后给出一些关于上面获得的基态行为的结果,即\(\ mu \ rightarrow 0 ^ {+} \)。我们的结果在多个方向上扩展和改进了现有的结果。

更新日期:2021-02-23
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