2015
DOI: 10.1007/s00209-015-1588-3
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On the quantization for self-affine measures on Bedford–McMullen carpets

Abstract: For a self-affine measure on a Bedford-McMullen carpet we prove that its quantization dimension exists and determine its exact value. Further, we give various sufficient conditions for the corresponding upper and lower quantization coefficient to be both positive and finite. Finally, we compare the quantization dimension with corresponding quantities derived from the multifractal temperature function and show that -different from conformal systems -they in general do not coincide.1991 Mathematics Subject Class… Show more

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Cited by 13 publications
(19 citation statements)
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“…We refer to [4,6] for rigorous mathematical foundations of quantization. One can see [5,6,7,8,12,15,16,18,20]) for related results. By [6], we have, e k,r (ν) → e k,0 (ν) as r → 0, provided that |x| s dν(x) < ∞ for some s > 0.…”
Section: Introductionmentioning
confidence: 86%
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“…We refer to [4,6] for rigorous mathematical foundations of quantization. One can see [5,6,7,8,12,15,16,18,20]) for related results. By [6], we have, e k,r (ν) → e k,0 (ν) as r → 0, provided that |x| s dν(x) < ∞ for some s > 0.…”
Section: Introductionmentioning
confidence: 86%
“…Remark 1.2. For r > 0, Kessböhmer and Zhu [12] proved that D r (µ) = D r (µ) and determined the exact value; they also proved the finiteness and positivity of the upper and lower quantization coefficient for µ of order r in some special cases and Zhu [25] proved this fact in general by associating subsets of E with those of the product coding set W := G N × G N y and considering an auxiliary measure which is supported on W .…”
Section: Introductionmentioning
confidence: 99%
“…allowing us to find explicit formulae for the quantization dimension for a given problem (see [15] for an instance of this). Typically, for a non-self-similar measure such as a self-affine measures on Bedford-McMullen carpets, this requires a detailed analysis of the asymptotic quantization errors.…”
Section: The Three-step Proceduresmentioning
confidence: 99%
“…Typically, this question is much harder to answer than finding the quantization dimension. So far, the quantization coefficient has been studied for absolutely continuous probability measures ( [6]) and several classes of singular measures, including self-similar and self-conformal [19,29,39,41] measures, Markov-type measures [16,33,29] and self-affine measures on Bedford-McMullen carpets [15,38].…”
Section: Introductionmentioning
confidence: 99%
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