A sharp Gagliardo-Nirenberg inequality and its application to fractional problems with inhomogeneous nonlinearity

Author:

Bhimani Divyang G.1,Hajaiej Hichem2,Haque Saikatul3,Luo Tingjian4

Affiliation:

1. Department of Mathematics, Indian Institute of Science Education and Research-Pune, Dr. Homi Bhabha Road, Pune 411008, India

2. California State University, Los Angeles 5151, USA

3. Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, Prayagraj (Allahabad) 211019, India

4. School of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China

Abstract

<p style='text-indent:20px;'>The purpose of this paper is threefold. Firstly, we establish a Gagliardo-Nirenberg inequality with optimal constant, which involves a fractional norm and an inhomogeneous nonlinearity. Secondly, as an application of this inequality, we study ground state standing waves to a nonlinear Schrödinger equation (NLS) with a mixed fractional Laplacians and a inhomogeneous nonlinearity, and consider a minimization problem which gives the existence of ground state solutions with prescribed mass. In particular, by making use of this Gagliardo-Nirenberg inequality and its optimal constant, we give a sufficient and necessary condition for the existence results. Finally, we develop local wellposedness theory for NLS with a mixed fractional Laplacians and a inhomogeneous nonlinearity. In the process, we prove Strichartz estimates in Lorentz spaces which may be of independent interest.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Control and Optimization,Modeling and Simulation

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A note on the energy critical inhomogeneous Hartree equation;Indian Journal of Pure and Applied Mathematics;2024-01-26

2. Scattering and Minimization Theory for Cubic Inhomogeneous Nls with Inverse Square Potential;Journal of Dynamics and Differential Equations;2023-08-27

3. Long‐time dynamics for the radial focusing fractional INLS;Mathematical Methods in the Applied Sciences;2023-08-15

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