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Multi-peak semiclassical bound states for Fractional Schrödinger Equations with fast decaying potentials

  • Received: 21 September 2021 Revised: 25 November 2021 Accepted: 25 November 2021 Published: 15 February 2022
  • We study the following fractional Schrödinger equation

    $ \begin{equation*} \label{eq0.1} \varepsilon^{2s}(-\Delta)^s u + V(x)u = f(u), \,\,x\in\mathbb{R}^N, \end{equation*} $

    where $ s\in(0,1) $. Under some conditions on $ f(u) $, we show that the problem has a family of solutions concentrating at any finite given local minima of $ V $ provided that $ V\in C( \mathbb{R}^N,[0,+\infty)) $. All decay rates of $ V $ are admissible. Especially, $ V $ can be compactly supported. Different from the local case $ s = 1 $ or the case of single-peak solutions, the nonlocal effect of the operator $ (-\Delta)^s $ makes the peaks of the candidate solutions affect mutually, which causes more difficulties in finding solutions with multiple bumps. The methods in this paper are penalized technique and variational method.

    Citation: Xiaoming An, Shuangjie Peng. Multi-peak semiclassical bound states for Fractional Schrödinger Equations with fast decaying potentials[J]. Electronic Research Archive, 2022, 30(2): 585-614. doi: 10.3934/era.2022031

    Related Papers:

  • We study the following fractional Schrödinger equation

    $ \begin{equation*} \label{eq0.1} \varepsilon^{2s}(-\Delta)^s u + V(x)u = f(u), \,\,x\in\mathbb{R}^N, \end{equation*} $

    where $ s\in(0,1) $. Under some conditions on $ f(u) $, we show that the problem has a family of solutions concentrating at any finite given local minima of $ V $ provided that $ V\in C( \mathbb{R}^N,[0,+\infty)) $. All decay rates of $ V $ are admissible. Especially, $ V $ can be compactly supported. Different from the local case $ s = 1 $ or the case of single-peak solutions, the nonlocal effect of the operator $ (-\Delta)^s $ makes the peaks of the candidate solutions affect mutually, which causes more difficulties in finding solutions with multiple bumps. The methods in this paper are penalized technique and variational method.



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