Arbitrarily Sparse Spectra for Self-Affine Spectral Measures

被引:0
|
作者
L.-X. An
C.-K. Lai
机构
[1] Central China Normal University,School of Mathematics and Statistics, and Hubei Key Laboratory of Mathematical Sciences
[2] San Francisco State University,Department of Mathematics
来源
Analysis Mathematica | 2023年 / 49卷
关键词
Beurling dimension; spectral measure; self-affine measure; 28A80; 42B10; 42C30;
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中图分类号
学科分类号
摘要
Given an expansive matrix R ∈ Md(ℤ) and a finite set of digit B taken from ℤd/R(ℤd). It was shown previously that if we can find an L such that (R, B, L) forms a Hadamard triple, then the associated fractal self-affine measure generated by (R, B) admits an exponential orthonormal basis of certain frequency set Λ, and hence it is termed as a spectral measure. In this paper, we show that if #B < ∣det(R)∣, not only it is spectral, we can also construct arbitrarily sparse spectrum Λ in the sense that its Beurling dimension is zero.
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页码:19 / 42
页数:23
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