Chebyshev unions of planes, and their approximative and geometric properties

IF 0.9 3区 数学 Q2 MATHEMATICS
A.R. Alimov , I.G. Tsar’kov
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引用次数: 0

Abstract

We study approximative and geometric properties of Chebyshev sets composed of at most countably many planes (i.e., closed affine subspaces). We will assume that the union of planes is irreducible, i.e., no plane in this union contains another plane from the union. We show, in particular, that if a Chebyshev subset M of a Banach space X consists of at least two planes, then it is not B-connected (i.e., its intersection with some closed ball is disconnected) and is not B̊-complete. We also verify that, in reflexive (CLUR)-spaces (and, in particularly, in complete uniformly convex spaces), a set composed of countably many planes is not a Chebyshev set. For finite unions, we show that any finite union of planes (involving at least two planes) is not a Chebyshev set for any norm on the space. Several applications of our results in the spaces C(Q), L1 and L are also given.

平面的切比雪夫联合及其近似和几何特性
我们研究由最多可数平面(即封闭仿射子空间)组成的切比雪夫集的近似和几何性质。我们将假定平面的联合是不可还原的,即这个联合中没有一个平面包含联合中的另一个平面。我们将特别证明,如果巴拿赫空间 X 的切比雪夫子集 M 至少由两个平面组成,那么它就不是 B-连接的(即它与某个闭球的交集是断开的),也就不是 B̊-完备的。我们还验证了在反射(CLUR)空间(尤其是在完全均匀凸空间)中,由可数平面组成的集合不是切比雪夫集合。对于有限联合,我们证明了对于空间上的任何规范,任何平面的有限联合(至少涉及两个平面)都不是切比雪夫集合。我们还给出了我们的结果在空间 C(Q)、L1 和 L∞ 中的一些应用。
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来源期刊
CiteScore
1.90
自引率
11.10%
发文量
55
审稿时长
6-12 weeks
期刊介绍: The Journal of Approximation Theory is devoted to advances in pure and applied approximation theory and related areas. These areas include, among others: • Classical approximation • Abstract approximation • Constructive approximation • Degree of approximation • Fourier expansions • Interpolation of operators • General orthogonal systems • Interpolation and quadratures • Multivariate approximation • Orthogonal polynomials • Padé approximation • Rational approximation • Spline functions of one and several variables • Approximation by radial basis functions in Euclidean spaces, on spheres, and on more general manifolds • Special functions with strong connections to classical harmonic analysis, orthogonal polynomial, and approximation theory (as opposed to combinatorics, number theory, representation theory, generating functions, formal theory, and so forth) • Approximation theoretic aspects of real or complex function theory, function theory, difference or differential equations, function spaces, or harmonic analysis • Wavelet Theory and its applications in signal and image processing, and in differential equations with special emphasis on connections between wavelet theory and elements of approximation theory (such as approximation orders, Besov and Sobolev spaces, and so forth) • Gabor (Weyl-Heisenberg) expansions and sampling theory.
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