Sampling discretization in Orlicz spaces

IF 1.7 2区 数学 Q1 MATHEMATICS
Egor Kosov , Sergey Tikhonov
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引用次数: 0

Abstract

We obtain new sampling discretization results in Orlicz norms on finite dimensional spaces. As applications, we study sampling recovery problems, where the error of the recovery process is calculated with respect to different Orlicz norms. In particular, we are interested in the recovery by linear and nonlinear methods in the norms close to Lp.
Orlicz空间中的采样离散化
得到了有限维空间上Orlicz范数抽样离散化的新结果。作为应用,我们研究了采样恢复问题,其中恢复过程的误差是相对于不同的Orlicz范数计算的。特别地,我们对线性和非线性方法在接近Lp的范数上的恢复感兴趣。
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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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