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
“…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 .…”
Let E be a Bedford-McMullen carpet associated with a set of affine mappings {f ij } (i,j)∈G and let µ be the self-affine measure associated with {f ij } (i,j)∈G and a probability vector (p ij ) (i,j)∈G . We study the asymptotics of the geometric mean error in the quantization for µ. Let s 0 be the Hausdorff dimension for µ. Assuming a separation condition for {f ij } (i,j)∈G , we prove that the nth geometric error for µ is of the same order as n −1/s 0 .2000 Mathematics Subject Classification. Primary 28A75, 28A80; Secondary 94A15.
“…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 .…”
Let E be a Bedford-McMullen carpet associated with a set of affine mappings {f ij } (i,j)∈G and let µ be the self-affine measure associated with {f ij } (i,j)∈G and a probability vector (p ij ) (i,j)∈G . We study the asymptotics of the geometric mean error in the quantization for µ. Let s 0 be the Hausdorff dimension for µ. Assuming a separation condition for {f ij } (i,j)∈G , we prove that the nth geometric error for µ is of the same order as n −1/s 0 .2000 Mathematics Subject Classification. Primary 28A75, 28A80; Secondary 94A15.
“…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%
“…(3) for certain measures arising from dynamical systems, the quantization dimension can be expressed within the thermodynamic formalism in terms of appropriate temperature functions (see [19,15,27,28]). (4) The upper and lower quantization dimension of order zero are closely connected with the upper and lower local dimension.…”
Abstract. We give an overview on the quantization problem for fractal measures, including some related results and methods which have been developed in the last decades. Based on the work of Graf and Luschgy, we propose a three-step procedure to estimate the quantization errors. We survey some recent progress, which makes use of this procedure, including the quantization for self-affine measures, Markov-type measures on graph-directed fractals, and product measures on multiscale Moran sets. Several open problems are mentioned.
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