AbstractLet μ be a Borel probability measure on Rd with compact support and D¯r(μ) the upper quantization dimension of μ of order r. We prove, that for every t∈(dimp∗μ,dim¯B∗μ], there exists a Borel probability measure ν with ν≪μ such that D¯r(ν)=dim¯B∗ν=t. In addition, we give an example to show that the above intermediate-value property may fail in the open interval (dimpμ,dimp∗μ). Thus we get a complete description of the dimension set {D¯r(ν):ν(Rd)=1,ν≪μ}
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
AbstractWe study the typical behaviour (in the sense of Baire's category) of the q-Rényi dimensions ...
Funding: The work was supported in part by an EPSRC Standard Grant EP/R015104/1.This article surveys...
AbstractWe introduce a notion of monotonicity of dimensions of measures. We show that the upper and ...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
AbstractLet {fi}1N be a family of similitudes on R1 satisfying the strong separation condition and ν...
AbstractIn this paper, we study the quantization dimension of a random self-similar measure μ suppor...
Let μ be a Borel probability measure generated by a hyperbolic recurrent iterated function system de...
We investigate quantization coefficients for probability measures μ on limit sets, which are generat...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
AbstractFor a probability measure μ on a subset of Rd, the lower and upper Lq-dimensions of order q∈...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
Funding: Leverhulme Trust Research Fellowship (RF-2016-500) (JMF); UK EPSRC Standard Grant (EP/R0151...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
AbstractWe study the typical behaviour (in the sense of Baire's category) of the q-Rényi dimensions ...
Funding: The work was supported in part by an EPSRC Standard Grant EP/R015104/1.This article surveys...
AbstractWe introduce a notion of monotonicity of dimensions of measures. We show that the upper and ...
We show that the asymptotic behavior of the quantization error allows the definition of dimensions f...
AbstractLet {fi}1N be a family of similitudes on R1 satisfying the strong separation condition and ν...
AbstractIn this paper, we study the quantization dimension of a random self-similar measure μ suppor...
Let μ be a Borel probability measure generated by a hyperbolic recurrent iterated function system de...
We investigate quantization coefficients for probability measures μ on limit sets, which are generat...
In this paper, the problem of optimal quantization is solved for uniform distributions on some highe...
AbstractFor a probability measure μ on a subset of Rd, the lower and upper Lq-dimensions of order q∈...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
Funding: Leverhulme Trust Research Fellowship (RF-2016-500) (JMF); UK EPSRC Standard Grant (EP/R0151...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We introduce the quantization number and the essential covering rate. We treat the quantization for ...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
AbstractWe study the typical behaviour (in the sense of Baire's category) of the q-Rényi dimensions ...
Funding: The work was supported in part by an EPSRC Standard Grant EP/R015104/1.This article surveys...