Lower bounds for -term approximations in the metric of the discrete space

IF 1.4 4区 数学 Q1 MATHEMATICS
B. Kashin
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引用次数: 0

Abstract

In applied problems m-term approximations are used extensively. The approximating m-term polynomials are usually constructed by means of various ‘greedy’ algorithms (see [1] for details). As concerns lower bounds for the quantities (1), in the case when X = L(Ω) and Φ is an orthonormal basis in X such bounds are usually obtained by using the incompressibility property of an N -dimensional cube, which was established in [2]. With the aid of this geometric result, for a fixed m the problem can be reduced to finding a cube of dimension K ·m (where K is an absolute constant) with possibly large edge length such that all its vertices lie in F . This approach cannot be used for X = L(Ω) (see [3]). On the other hand, [3] contains rather general conditions on the set F ⊂ L(Ω) and the system Φ, which make it possible to find lower bounds for the quantities (1). One reason for taking the metric (2) lies in its connections with discrete mathematics and, in particular,
离散空间度规中-项近似的下界
在应用问题中,m项近似被广泛使用。近似的m项多项式通常是通过各种“贪婪”算法构造的(详见[1])。对于量(1)的下界,当X = L(Ω)和Φ是X中的一个标准正交基时,这种下界通常是利用[2]中建立的N维立方体的不可压缩性得到的。在这个几何结果的帮助下,对于一个固定的m,这个问题可以简化为找到一个维数为K·m的立方体(其中K是一个绝对常数),它的边长可能很大,以至于它的所有顶点都在F中。这种方法不能用于X = L(Ω)(参见[3])。另一方面,[3]在集合F∧L(Ω)和系统Φ上包含相当一般的条件,这些条件使得找到量(1)的下界成为可能。取度规(2)的一个原因在于它与离散数学的联系,特别是,
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Russian Mathematical Surveys is a high-prestige journal covering a wide area of mathematics. The Russian original is rigorously refereed in Russia and the translations are carefully scrutinised and edited by the London Mathematical Society. The survey articles on current trends in mathematics are generally written by leading experts in the field at the request of the Editorial Board.
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