2022
DOI: 10.1512/iumj.2022.71.8873
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On spectra and spectral eigenmatrix problems of the planar Sierpinski measures

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Cited by 13 publications
(20 citation statements)
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“…Our first result establishes the following characterization of maximal orthogonal set of the measure µ A,D via maximal tree mapping (see Definition 2.1). It extends the result of An, Dong and He [1], which is about the Sierpiński type self-similar spectral measure (i.e., n = m), to self-affine case (i.e., n = m). The original idea is due to Dutkay et al [21] who characterized the maximal orthogonal set of µ 4,{0,2} by using the so-called tree labeling method.…”
supporting
confidence: 77%
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“…Our first result establishes the following characterization of maximal orthogonal set of the measure µ A,D via maximal tree mapping (see Definition 2.1). It extends the result of An, Dong and He [1], which is about the Sierpiński type self-similar spectral measure (i.e., n = m), to self-affine case (i.e., n = m). The original idea is due to Dutkay et al [21] who characterized the maximal orthogonal set of µ 4,{0,2} by using the so-called tree labeling method.…”
supporting
confidence: 77%
“…a (2) . We claim that |a (1) | < q 1 and |a (2) | < q 2 . In fact, if i 1 = 1, when q 1 = 1, then τ (I0 n i 1 ) = 0 and thus |a (1)…”
Section: Regular Spectra Of µ Admentioning
confidence: 92%
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“…Many spectral measures have been found, see, for example [1,3,7,8,9,10,11,12,15,22,25,27,33,34,36,35,38] and references therein. For a singular spectral measure, generally speaking, its spectrum containing 0 is not unique, see [2,8,24,21,21,27,31,32] and references therein. However, it is a big challenge to determine all the spectra for a given singular spectral measure.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%