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Families of Spectral Sets for Bernoulli Convolutions
Journal article   Peer reviewed

Families of Spectral Sets for Bernoulli Convolutions

Palle Jorgensen, Keri Kornelson and Karen Shuman
Journal of Fourier Analysis and Applications, Vol.17(3), pp.431-456
06/2011
DOI: 10.1007/s00041-010-9158-x

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Abstract

We study the harmonic analysis of Bernoulli measures μ λ , a one-parameter family of compactly supported Borel probability measures on the real line. The parameter λ is a fixed number in the open interval (0,1). The measures μ λ may be understood in any one of the following three equivalent ways: as infinite convolution measures of a two-point probability distribution; as the distribution of a random power series; or as an iterated function system (IFS) equilibrium measure determined by the two transformations λ(x±1). For a given λ, we consider the harmonic analysis in the sense of Fourier series in the Hilbert space L 2(μ λ ). For L 2(μ λ ) to have infinite families of orthogonal complex exponential functions e 2πis(⋅), it is known that λ must be a rational number of the form $\frac{m}{2n}$ , where m is odd. We show that $L^{2}(\mu_{\frac{1}{2n}})$ has a variety of Fourier bases; i.e. orthonormal bases of exponential functions. For some other rational values of λ, we exhibit maximal Fourier families that are not orthonormal bases.
Mathematics Partial Differential Equations Orthogonal series Bernoulli convolution Signal, Image and Speech Processing 28A80 Fractals Fourier series Fourier coefficients Abstract Harmonic Analysis Iterated function system Mathematical Methods in Physics Fourier Analysis Spectral measure 46E30 Approximations and Expansions 28D05 Hilbert space 42A16 42C25 42B05

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