AbstractGiven a positive probability Borel measure μ on R, we establish some basic properties of the associated functions τμ±(q) and of the generalized fractal dimensions Dμ±(q) for q∈R. We first give the equivalence of the Hentschel–Procaccia dimensions with the Rényi dimensions and the mean-q dimensions, for q>0. We then use these relations to prove some regularity properties for τμ±(q) and Dμ±(q); we also provide some estimates for these functions, in particular estimates on their behaviour at ±∞, as well as for the dimensions corresponding to convolution of two measures. We finally present some calculations for specific examples illustrating the different cases met in the article
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
Fractal analysis is an important tool when we need to study geometrical objects less regular than or...
International audienceVarious tools can be used to calculate or estimate the dimension of measures. ...
We prove the following result on the generalized fractal dimensions $D^{±}_q$ of a probability measu...
AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write...
Let mu be a Borel probability measure on R-d. We study the Hausdorff dimension and the packing dimen...
AbstractTo characterize the geometry of a measure, its generalized dimensions dq have been introduce...
AbstractThe problem of the determination of the Hausdorff dimension of sets via the special class of...
Let be a Borel probability measure on Rd. We study the Hausdorff dimension and the packing dimensio...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
Journal PaperTo characterize the geometry of a measure, its so-called generalized dimensions D(<i>q<...
We consider relations between Rényi's and Hentschel - Procaccia's definitions of generalized dimensi...
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 ...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
Fractal analysis is an important tool when we need to study geometrical objects less regular than or...
International audienceVarious tools can be used to calculate or estimate the dimension of measures. ...
We prove the following result on the generalized fractal dimensions $D^{±}_q$ of a probability measu...
AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write...
Let mu be a Borel probability measure on R-d. We study the Hausdorff dimension and the packing dimen...
AbstractTo characterize the geometry of a measure, its generalized dimensions dq have been introduce...
AbstractThe problem of the determination of the Hausdorff dimension of sets via the special class of...
Let be a Borel probability measure on Rd. We study the Hausdorff dimension and the packing dimensio...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
Journal PaperTo characterize the geometry of a measure, its so-called generalized dimensions D(<i>q<...
We consider relations between Rényi's and Hentschel - Procaccia's definitions of generalized dimensi...
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 ...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
Fractal analysis is an important tool when we need to study geometrical objects less regular than or...
International audienceVarious tools can be used to calculate or estimate the dimension of measures. ...