2022
DOI: 10.1093/imrn/rnac194
|View full text |Cite
|
Sign up to set email alerts
|

Pathological Set of Initial Data for Scaling-Supercritical Nonlinear Schrödinger Equations

Abstract: The purpose of this work is to evidence a pathological set of initial data for which the regularized solutions by convolution experience a norm-inflation mechanism, in arbitrarily short time. The result is in the spirit of the construction from Sun and Tzvetkov, where the pathological set contains a superposition of profiles that concentrate at different points. Thanks to finite propagation speed of the wave equation, and given a certain time, at most one profile exhibits significant growth. However, for Schrö… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 33 publications
0
4
0
Order By: Relevance
“…It remains to study the time evolution of ρ εn k * f , by comparing it to the ODE profile ρ εn k * v 0,k only. An adaptation of the proof of Proposition 2.6 in [12] leads to the following result. Let u εn k be the maximal solution of (NLS-HW) with initial data ρ εn k * f in L 2…”
Section: Paracontrolled Trilinear Estimatesmentioning
confidence: 91%
See 3 more Smart Citations
“…It remains to study the time evolution of ρ εn k * f , by comparing it to the ODE profile ρ εn k * v 0,k only. An adaptation of the proof of Proposition 2.6 in [12] leads to the following result. Let u εn k be the maximal solution of (NLS-HW) with initial data ρ εn k * f in L 2…”
Section: Paracontrolled Trilinear Estimatesmentioning
confidence: 91%
“…In order to define a dense subset S of the pathological set One can see that S defines a dense subset of H s . We make use of the following precise upper bounds in H m , m ≥ 0, of the initial data regularized by convolution, see Lemma 2.4 in [12]. .…”
Section: Paracontrolled Trilinear Estimatesmentioning
confidence: 99%
See 2 more Smart Citations