AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write [formula]Then Hq, tμ and Pq, tμ are Borel measures − Hq, tμ is a multifractal generalization of the centered Hausdorff measure and Pq, tμ is a multifractal generalization of the packing measure. The measures Hq, tμ and Pq, tμ define, for a fixed q, in the usual way a generalized Hausdorff dimension dimqμ(E) and a generalized packing dimension Dimqμ(E) of subsets E of X. We study the functions bμ: q → dimqμ(supp μ), Bμq → Dimqμ(supp μ) and their relation to the so-called multifractal spectra functions of μ: [formula] We prove, among other things, that fμ(Fμ) is bounded from above by the Legendre transform of bμBμ) and that equality holds for ...
International audienceBy obtening a new sufficient condition for a valid multifractal formalism, we ...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
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...
Let be a Borel probability measure on Rd. We study the Hausdorff dimension and the packing dimensio...
In the present paper, we suggest new proofs of many known results about the relative multifractal fo...
In this article, we prove that in the Baire category sense, measures supported by the unit cube of $...
AbstractBy obtaining a new sufficient condition for a valid multifractal formalism, we improve in th...
This is a survey on multifractal analysis with an emphasis on the multifractal geometry of geometric...
During the past 10 years multifractal analysis has received an enormous interest. For a sequence (ph...
Two of the main objects of study in multifractal analysis of measures are the coarse multifractal sp...
The purpose of this dissertation is to introduce a natural and unifying multifractal formalism which...
This is a survey on multifractal analysis with an emphasis on the multifractal geometry of geometric...
Nous montrons la validité du formalisme multifractal pour les mesures aléatoires faiblement Gibbs po...
International audienceBy obtening a new sufficient condition for a valid multifractal formalism, we ...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
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...
Let be a Borel probability measure on Rd. We study the Hausdorff dimension and the packing dimensio...
In the present paper, we suggest new proofs of many known results about the relative multifractal fo...
In this article, we prove that in the Baire category sense, measures supported by the unit cube of $...
AbstractBy obtaining a new sufficient condition for a valid multifractal formalism, we improve in th...
This is a survey on multifractal analysis with an emphasis on the multifractal geometry of geometric...
During the past 10 years multifractal analysis has received an enormous interest. For a sequence (ph...
Two of the main objects of study in multifractal analysis of measures are the coarse multifractal sp...
The purpose of this dissertation is to introduce a natural and unifying multifractal formalism which...
This is a survey on multifractal analysis with an emphasis on the multifractal geometry of geometric...
Nous montrons la validité du formalisme multifractal pour les mesures aléatoires faiblement Gibbs po...
International audienceBy obtening a new sufficient condition for a valid multifractal formalism, we ...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...