activity
20092026
most citedSolving the 4NLS with white noise initial data

24 citations · 199 across the 28 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

math.AP2018★ 5 cited

On global well-posedness of the modified KdV equation in modulation spaces

Tadahiro Oh, Yuzhao Wang

We study well-posedness of the complex-valued modified KdV equation (mKdV) on the real line. In particular, we prove local well-posedness of mKdV in modulation spaces $M^{2,p}_{s}(…

math.AP2018★ 11 cited

Normal form approach to the one-dimensional periodic cubic nonlinear Schrödinger equation in almost critical Fourier-Lebesgue spaces

Tadahiro Oh, Yuzhao Wang

In this paper, we study the one-dimensional cubic nonlinear Schrödinger equation (NLS) on the circle. In particular, we develop a normal form approach to study NLS in almost critic…

math.AP2018★ 21 cited

Liouville-type theorems for the stationary MHD equations in 2D

Wendong Wang, Yuzhao Wang

This note is devoted to investigating Liouville type properties of the two dimensional stationary incompressible Magnetohydrodynamics equations. More precisely, under smallness con…

math.AP2018★ 15 cited

Global well-posedness of the one-dimensional cubic nonlinear Schrödinger equation in almost critical spaces

Tadahiro Oh, Yuzhao Wang

In this paper, we first introduce a new function space whose norm is given by the -sum of modulated -norms of a given function. In particular, when $θ< -\f…

math.AP2018★ 5 cited

Stochastic nonlinear Schrödinger equation with almost space-time white noise

Justin Forlano, Tadahiro Oh, Yuzhao Wang

We study the stochastic cubic nonlinear Schrödinger equation (SNLS) with an additive noise on the one-dimensional torus. In particular, we prove local well-posedness of the (renorm…

math.AP2018★ 12 cited

On the stochastic nonlinear Schrödinger equations with non-smooth additive noise

Tadahiro Oh, Oana Pocovnicu, Yuzhao Wang

We study the stochastic nonlinear Schrödinger equations with additive stochastic forcing. By using the dispersive estimate, we present a simple argument, constructing a unique loca…