2019
DOI: 10.1142/s021919971850058x
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Unconditional uniqueness results for the nonlinear Schrödinger equation

Abstract: We study the problem of unconditional uniqueness of solutions to the cubic nonlinear Schrödinger equation. We introduce a new strategy to approach this problem on bounded domains, in particular on rectangular tori.It is a known fact that solutions to the cubic NLS give rise to solutions of the Gross-Pitaevskii hierarchy, which is an infinite-dimensional system of linear equations. By using the uniqueness analysis of the Gross-Pitaevskii hierarchy, we obtain new unconditional uniqueness results for the cubic NL… Show more

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Cited by 28 publications
(36 citation statements)
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References 45 publications
(116 reference statements)
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“…In [22], the first author (with Z. Guo and S. Kwon) proved unconditional uniqueness in H 1 6 (T) and Theorem 1.5 extends this result to the Fourier-Lebesgue setting. We also mention a recent work by Herr-Sohinger [24] where they proved unconditional uniqueness of the cubic NLS (1.1) in L p ([−T, T] × T) for p > 3. The main difference between unconditional uniqueness and uniqueness for sensible weak solutions is that the former does not assume that a solution comes with a sequence of smooth approximating solutions, while, by definition, sensible weak solutions are equipped with smooth approximating solutions.…”
Section: Resultsmentioning
confidence: 94%
“…In [22], the first author (with Z. Guo and S. Kwon) proved unconditional uniqueness in H 1 6 (T) and Theorem 1.5 extends this result to the Fourier-Lebesgue setting. We also mention a recent work by Herr-Sohinger [24] where they proved unconditional uniqueness of the cubic NLS (1.1) in L p ([−T, T] × T) for p > 3. The main difference between unconditional uniqueness and uniqueness for sensible weak solutions is that the former does not assume that a solution comes with a sequence of smooth approximating solutions, while, by definition, sensible weak solutions are equipped with smooth approximating solutions.…”
Section: Resultsmentioning
confidence: 94%
“…We should also mention [19] where the authors use a different approach to unconditional uniqueness of the cubic NLS (6) which applies to various spatial domains. The main idea is to exploit the relation of solutions of the cubic NLS to solutions of the Gross-Pitaevskii hierarchy.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…We will define many operators, R t 1 , R t 2 , N t 11 ,Q 1,t n , N t 21 , N t 4 , N t 31 and we need to be able to control all of them in the appropriate norms. This will be done in Lemmata 15,16,17,19,20 and 21. To move forward we use the splitting…”
Section: Description Of the Iteration Processmentioning
confidence: 99%
“…To prove Theorem 1.1, we will use the cubic Gross–Pitaevskii (GP) hierarchy on , which is uncommon in the analysis of the NLS and is being explored [24, 35]. Let denote the space of trace class operators on .…”
Section: Introductionmentioning
confidence: 99%
“…Analysis of GP hierarchy did not yield new NLS results with regularity lower than that of NLS analysis until [35, 24]. 9 , 10 In [35], using the scheme in [6], Herr and Sohinger generalised the usual Sobolev multilinear estimates to Besov spaces and obtained new unconditional-uniqueness results regarding equation (1.2) and hence the NLS (equation (1.1)) on . The result has pushed the regularity requirement for the uniqueness of equation (1.1) lower than the number coming from NLS analysis.…”
Section: Introductionmentioning
confidence: 99%