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Small-amplitude self-similar solutions for one-dimensional nonlinear dispersive equations

Simão Correia, Gonçalo Pereira, Thyago S. R. Santos

TL;DR

The work addresses the existence of small-amplitude self-similar solutions for 1D scale-invariant dispersive equations, including the cubic NLS, mBO, DNLS, and 4KdV. It develops a robust Fourier-analytic framework that absorbs divergent high-frequency interactions through explicit ansätze (e.g., $S_A$ and $S_{A,a,B}$) and employs fixed-point theory in Fourier-Lebesgue-type spaces, supported by detailed multilinear estimates. The main contributions are the construction of self-similar profiles for all four models with precise frequency-space asymptotics, the establishment of data-to-scattering maps linking low- and high-frequency data, and the demonstration that these maps yield unique small-amplitude self-similar solutions. The results illuminate the role of self-similar structures in dispersive dynamics, providing a path toward finite-energy self-similar solutions and informing long-time behavior and potential blow-up scenarios in 1D systems.

Abstract

Given a nonlinear dispersive equation which admits a scaling invariance, there may exist self-similar solutions. In this work, we present a systematic approach for the construction of small-amplitude self-similar solutions, together with precise asymptotic descriptions at both small and large frequency scales. These ideas are then applied to three classic dispersive models: the modified Benjamin-Ono, the quartic Korteweg-de Vries and the cubic nonlinear Schrödinger equations.

Small-amplitude self-similar solutions for one-dimensional nonlinear dispersive equations

TL;DR

The work addresses the existence of small-amplitude self-similar solutions for 1D scale-invariant dispersive equations, including the cubic NLS, mBO, DNLS, and 4KdV. It develops a robust Fourier-analytic framework that absorbs divergent high-frequency interactions through explicit ansätze (e.g., and ) and employs fixed-point theory in Fourier-Lebesgue-type spaces, supported by detailed multilinear estimates. The main contributions are the construction of self-similar profiles for all four models with precise frequency-space asymptotics, the establishment of data-to-scattering maps linking low- and high-frequency data, and the demonstration that these maps yield unique small-amplitude self-similar solutions. The results illuminate the role of self-similar structures in dispersive dynamics, providing a path toward finite-energy self-similar solutions and informing long-time behavior and potential blow-up scenarios in 1D systems.

Abstract

Given a nonlinear dispersive equation which admits a scaling invariance, there may exist self-similar solutions. In this work, we present a systematic approach for the construction of small-amplitude self-similar solutions, together with precise asymptotic descriptions at both small and large frequency scales. These ideas are then applied to three classic dispersive models: the modified Benjamin-Ono, the quartic Korteweg-de Vries and the cubic nonlinear Schrödinger equations.

Paper Structure

This paper contains 27 sections, 26 theorems, 427 equations.

Key Result

Theorem 1.2

Let $\kappa \in \left(\frac{5}{8}, \frac{2}{3}\right)$ and $c \in \mathbb{C}$ with $|c| \ll 1$. Then, there exist a constant $A = A(c) \in \mathbb{C}$ and a tempered distribution $V_c \in \mathcal{S}^\prime$ such that the function is a (real-valued) self-similar solution to 4Kdv. Furthermore, the function $V_c$ is characterized by the relation where and the remainder term $z(\xi)= \overline{z(-

Theorems & Definitions (51)

  • Theorem 1.2: Self-similar solutions for \ref{['4Kdv']}
  • Theorem 1.3: Self-similar solutions for \ref{['dnls']}
  • Theorem 1.4: Self-similar solutions for \ref{['3NLS']}
  • Remark 1.1
  • Example 1.2: Generalized Korteweg–de Vries equation
  • Example 1.3: Nonlinear Schrödinger equation
  • Example 1.4: Generalized Benjamin–Ono equation
  • Definition 1.5: Self-similar solution for \ref{['eq dispersiva']}
  • Theorem 2.1: Multilinear Estimates
  • Theorem 2.1
  • ...and 41 more