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Probabilistic pointwise convergence problem of Schrödinger equations on manifolds
Author(s) -
Junfang Wang,
Wei Yan,
Xiangqian Yan
Publication year - 2021
Publication title -
proceedings of the american mathematical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.968
H-Index - 84
eISSN - 1088-6826
pISSN - 0002-9939
DOI - 10.1090/proc/15440
Subject(s) - pointwise , algorithm , artificial intelligence , computer science , mathematics , mathematical analysis
In this paper, we investigate the probabilistic pointwise convergence problem of Schrödinger equation on the manifolds. We prove probabilistic pointwise convergence of the solutions to Schrödinger equations with the initial data in L 2 ( T n ) L^{2}(\mathrm {\mathbf {T}}^{n}) , where T = [ 0 , 2 π ) \mathrm {\mathbf {T}}=[0,2\pi ) , which require much less regularity for the initial data than the rough data case. We also prove probabilistic pointwise convergence of the solutions to Schrödinger equation with Dirichlet boundary condition for a large set of random initial data in ∩ s > 1 2 H s ( Θ ) \cap _{s>\frac {1}{2}}H^{s}(\Theta ) , where Θ \Theta is three dimensional unit ball, which require much less regularity for the initial data than the rough data case.

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