Transactions of the American Mathematical Society Series B · 2019 · 48 citations · 38 references
Spectral TheoryNumerical AnalysisRegularity ThresholdNumerical Method For Partial Differential EquationEngineeringPerturbation MethodPhysicsPotential TheoryHigher Order ExpansionsNonlinear EquationRandom Initial DataIntegrable SystemApproximation TheoryPower Series ExpansionNonlinear Functional Analysis
We consider the cubic nonlinear Schrödinger equation (NLS) on <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="double-struck upper R cubed"> <mml:semantics> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="double-struck">R</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msup> <mml:annotation encoding="application/x-tex">\mathbb {R}^3</mml:annotation> </mml:semantics> </mml:math> </inline-formula> with randomized initial data. In particular, we study an iterative approach based on a partial power series expansion in terms of the random initial data. By performing a fixed point argument around the second order expansion, we improve the regularity threshold for almost sure local well-posedness from our previous work. We further investigate a limitation of this iterative procedure. Finally, we introduce an alternative iterative approach, based on a modified expansion of arbitrary length, and prove almost sure local well-posedness of the cubic NLS in an almost optimal regularity range with respect to the original iterative approach based on a power series expansion.
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