2015
DOI: 10.48550/arxiv.1510.06381
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Pure point/Continuous decomposition of translation-bounded measures and diffraction

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Cited by 9 publications
(16 citation statements)
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“…Then, there exists a set Y ⊆ Y with the following properties: Finally, by combining Theorem 6.9 with [2] we get the following result.…”
Section: Besicovitch Almost Periodicitymentioning
confidence: 86%
See 1 more Smart Citation
“…Then, there exists a set Y ⊆ Y with the following properties: Finally, by combining Theorem 6.9 with [2] we get the following result.…”
Section: Besicovitch Almost Periodicitymentioning
confidence: 86%
“…For many examples of compatible random 1-dimensional Pisot substitutions, one gets a decomposition of the generic element ω of the hull into two measures ω 1 and ω 2 such that the diffraction of ω 1 and ω 2 , respectively, are the pure point and continuous diffraction spectrum, respectively, of ω [33,13,46]. A similar decomposition hold for 1-dimensional PV substitutions [14] and for dynamical systems of translation bounded measures [2]. It is the one of the goals of this paper to investigate this type of decomposition, at the level of measures and not autocorrelations, in more general settings.…”
Section: Introductionmentioning
confidence: 99%
“…Let us start by recalling a result of [4]. Combining this result with Theorem 3.15 we get Theorem 6.8.…”
Section: Application To Weighted Dirac Combsmentioning
confidence: 90%
“…We used this result to (re)derive properties of p γ, and we expect that this connection will lead to some new applications in the future. Indeed, while now we know quite a few properties of the Fourier transform of measures with Meyer set support [2,43,44,45,46,47,48,49] we know much more about fully periodic measures in LCAG (see for example [36]). Moreover, the strong admissibility of f is likely to transfer many properties from ρ to ρ f .…”
Section: Generalized Eberlein Decompositionmentioning
confidence: 99%