Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > math > arXiv:2212.00750v1

Help | Advanced Search

Mathematics > Analysis of PDEs

arXiv:2212.00750v1 (math)
[Submitted on 1 Dec 2022 ]

Title: On existence and stability results for normalized ground states of mass-subcritical biharmonic NLS on $\mathbb{R}^d\times\mathbb{T}^n$

Title: 关于质量次临界双调和NLS在$\mathbb{R}^d\times\mathbb{T}^n$上归一化基态的存在性和稳定性结果

Authors:Hichem Hajaiej, Yongming Luo, Linjie Song
Abstract: We study the focusing mass-subcritical biharmonic nonlinear Schr\"odinger equation (BNLS) on the product space $\mathbb{R}_x^d\times\mathbb{T}_y^n$. Following the crucial scaling arguments introduced in \cite{TTVproduct2014} we establish existence and stability results for the normalized ground states of BNLS. Moreover, in the case where lower order dispersion is absent, we prove the existence of a critical mass number $c_0\in(0,\infty)$ that sharply determines the $y$-dependence of the deduced ground states. In the mixed dispersion case, we encounter a major challenge as the BNLS is no longer scale-invariant and the arguments from \cite{TTVproduct2014} for determining the sharp $y$-dependence of the ground states fail. The main novelty of the present paper is to address this difficult and interesting issue: Using a different scaling argument, we show that $y$-independence of ground states with small mass still holds in the case $\beta>0$ and $\alpha\in(0,4/(d+n))$. Additionally, we also prove that ground states with sufficiently large mass must possess non-trivial $y$-dependence by appealing to some novel construction of test functions. The latter particularly holds for all parameters lying in the full mass-subcritical regime.
Abstract: 我们研究在乘积空间$\mathbb{R}_x^d\times\mathbb{T}_y^n$上的聚焦质量次临界双调和非线性薛定谔方程(BNLS)。 遵循在\cite{TTVproduct2014}中引入的关键尺度论证,我们建立了 BNLS 的归一化基态的存在性和稳定性结果。 此外,在低阶色散缺失的情况下,我们证明了一个临界质量数$c_0\in(0,\infty)$的存在,该数严格决定了推导出的基态的$y$依赖性。 在混合色散情况下,我们遇到了一个主要挑战,因为 BNLS 不再具有尺度不变性,而来自\cite{TTVproduct2014}的用于确定基态的尖锐$y$依赖性的论证失效。 本文的主要创新之处在于解决这个困难而有趣的问题:通过不同的缩放论证,我们证明了在情况$\beta>0$和$\alpha\in(0,4/(d+n))$下,小质量的基态仍保持$y$独立性。 此外,我们还证明了通过引入一些新颖的测试函数构造,足够大质量的基态必须具有非平凡的$y$依赖性。 后者尤其适用于全部质量亚临界区域内的所有参数。
Comments: The authors welcome any comments
Subjects: Analysis of PDEs (math.AP)
Cite as: arXiv:2212.00750 [math.AP]
  (or arXiv:2212.00750v1 [math.AP] for this version)
  https://doi.org/10.48550/arXiv.2212.00750
arXiv-issued DOI via DataCite

Submission history

From: Yongming Luo [view email]
[v1] Thu, 1 Dec 2022 18:35:04 UTC (23 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • TeX Source
view license
Current browse context:
math.AP
< prev   |   next >
new | recent | 2022-12
Change to browse by:
math

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号