2017
DOI: 10.3934/dcds.2017010
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Global well-posedness for the derivative nonlinear Schrödinger equation in $H^{\frac 12} (\mathbb{R} )$

Abstract: We prove that the derivative nonlinear Schrödinger equation is globally well-posed in H 1 2 (R) when the mass of initial data is strictly less than 4π.2010 Mathematics Subject Classification. Primary 35Q55; Secondary 35A01.

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Cited by 45 publications
(46 citation statements)
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“…The IVP associated to (1.5) has been studied in several publications (see for instance [2], [5], [6], [14], [15], [16], [33], [36], [37]) where among other qualitative properties local and global well-posedness issues were investigated. In particular, a global sharp well-posedness result was obtained by Guo and Wu [11] in H 1/2 (R) for initial data satisfying (1.8) u 0 2 2 ≤ 4π, see also [41]. The condition (1.8) guarantees the energy E(·) is positive via sharp Gagliardo-Nirenberg inequality.…”
Section: Introductionmentioning
confidence: 95%
“…The IVP associated to (1.5) has been studied in several publications (see for instance [2], [5], [6], [14], [15], [16], [33], [36], [37]) where among other qualitative properties local and global well-posedness issues were investigated. In particular, a global sharp well-posedness result was obtained by Guo and Wu [11] in H 1/2 (R) for initial data satisfying (1.8) u 0 2 2 ≤ 4π, see also [41]. The condition (1.8) guarantees the energy E(·) is positive via sharp Gagliardo-Nirenberg inequality.…”
Section: Introductionmentioning
confidence: 95%
“…2. Prior to [15], in [40,41], Wu first obtained L 2 -norm threshold improvements for energy-space initial data.…”
Section: Comments and Remarks For Dnls On The Real Line Yin Yin Su Winmentioning
confidence: 99%
“…4π (or }u 0 } L 2 " ? 4π with negative momentum), there exists a unique solution u P CpR, H 1{2 pRqq [6,7]. A key structural property of DNLS discovered by Kaup and Newell [11] is that it is integrable by inverse scattering: that is, there is a linear spectral problem with upx, tq as potential whose spectral data (consisting of a reflection coefficient, describing the continuous spectrum of the linear problem, together with eigenvalues and norming constants, describing the discrete spectrum of the linear problem) evolve linearly under the flow.…”
Section: {2mentioning
confidence: 99%