Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness

IF 2.2 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of complex networks Pub Date : 2022-12-12 DOI:10.48550/arXiv.2212.05780
G. Leobacher, F. Pillichshammer, Adrian Ebert
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引用次数: 1

Abstract

In this paper we consider integration and $L_2$-approximation for functions over $\RR^s$ from weighted Hermite spaces. The first part of the paper is devoted to a comparison of several weighted Hermite spaces that appear in literature, which is interesting on its own. Then we study tractability of the integration and $L_2$-approximation problem for the introduced Hermite spaces, which describes the growth rate of the information complexity when the error threshold $\varepsilon$ tends to 0 and the problem dimension $s$ grows to infinity. Our main results are characterizations of tractability in terms of the involved weights, which model the importance of the successive coordinate directions for functions from the weighted Hermite spaces.
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有限光滑加权Hermite空间中l2逼近与积分的可跟踪性
本文研究了加权Hermite空间中$\RR^s$上函数的积分和$L_2$逼近问题。论文的第一部分致力于比较文学中出现的几个加权赫米特空间,这本身就很有趣。然后研究了引入的Hermite空间的积分和$L_2$逼近问题的可跟踪性,描述了误差阈值$ varepsilon$趋近于0,问题维数$s$趋近于无穷时信息复杂度的增长速度。我们的主要结果是根据所涉及的权重来描述可跟踪性,这对来自加权Hermite空间的函数的连续坐标方向的重要性进行了建模。
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来源期刊
Journal of complex networks
Journal of complex networks MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.20
自引率
9.50%
发文量
40
期刊介绍: Journal of Complex Networks publishes original articles and reviews with a significant contribution to the analysis and understanding of complex networks and its applications in diverse fields. Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world. The journal covers everything from the basic mathematical, physical and computational principles needed for studying complex networks to their applications leading to predictive models in molecular, biological, ecological, informational, engineering, social, technological and other systems. It includes, but is not limited to, the following topics: - Mathematical and numerical analysis of networks - Network theory and computer sciences - Structural analysis of networks - Dynamics on networks - Physical models on networks - Networks and epidemiology - Social, socio-economic and political networks - Ecological networks - Technological and infrastructural networks - Brain and tissue networks - Biological and molecular networks - Spatial networks - Techno-social networks i.e. online social networks, social networking sites, social media - Other applications of networks - Evolving networks - Multilayer networks - Game theory on networks - Biomedicine related networks - Animal social networks - Climate networks - Cognitive, language and informational network
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