2016
DOI: 10.3934/dcds.2016102
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Random data Cauchy problem for the nonlinear Schrödinger equation with derivative nonlinearity

Abstract: We consider the Cauchy problem for the nonlinear Schrödinger equation with derivative nonlinearity (i∂t + ∆)u = ±∂(u m) on R d , d ≥ 1, with random initial data, where ∂ is a first order derivative with respect to the spatial variable, for example a linear combination of ∂ ∂x 1 ,. .. , ∂ ∂x d or |∇| = F −1 [|ξ|F ]. We prove that almost sure local in time well-posedness, small data global in time well-posedness and scattering hold in H s (R d) with s > max d−1 d sc, sc 2 , sc − d 2(d+1) for d + m ≥ 5, where s i… Show more

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Cited by 14 publications
(4 citation statements)
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References 32 publications
(57 reference statements)
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“…Recently, there are many researches, using probabilistic tools to study nonlinear dispersive equations in scaling supercritical regimes, for example [2,3,4,5,6,7,10,15,16,21]. Bényi-Oh-Pocovnicu [2] and Lührmann-Mendelson [21] introduced randomization on R d , independently.…”
Section: Shuai Zhang and Shaopeng Xumentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, there are many researches, using probabilistic tools to study nonlinear dispersive equations in scaling supercritical regimes, for example [2,3,4,5,6,7,10,15,16,21]. Bényi-Oh-Pocovnicu [2] and Lührmann-Mendelson [21] introduced randomization on R d , independently.…”
Section: Shuai Zhang and Shaopeng Xumentioning
confidence: 99%
“…Thus, it is possible to establish supercritical well-posedness of (1.1) with suitable random initial data. Hirayama and Okamoto [15] studied random data Cauchy problem for 4NLS (i∂ t + ∆ 2 )u = ±∂(|u| 2 u) below the scaling critical regualrity. Via Strichartz estimates and bilinear estimates, Chen and Zhang [7] investigated the random data Cauchy problem of 4NLS with nonlinearities containing the second order derivatives in H s (R d ).…”
Section: Shuai Zhang and Shaopeng Xumentioning
confidence: 99%
“…There are several works on random Cauchy theory followed these results (see e.g. [19,2,30,4,24,15]).…”
mentioning
confidence: 85%
“…Recently, there are many researchers, using probabilistic tools to study nonlinear dispersive equations in scaling supercritical regimes, for example [2,6,8,16,20,28,32]. This idea was brought by Bourgain [4,5] for the periodic nonlinear Schrödinger(NLS) equation.…”
Section: Introductionmentioning
confidence: 99%