In this paper using the Banach limit we have determined a Gibbs-like measure μ h supported by a cookie-cutter set E which is generated by a single cookie-cutter mapping f . For such a measure μ h and r ∈ ( 0 , + ∞ ) we have shown that there exists a unique κ r ∈ ( 0 , + ∞ ) such that κ r is the quantization dimension function of the probability measure μ h , and we established its functional relationship with the temperature function of the thermodynamic formalism. The temperature function is commonly used to perform the multifractal analysis, in our context of the measure μ h . In addition, we have proved that the κ r -dimensional lower quantization coefficient of order r of the probability measure is positive
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Nous montrons la validité du formalisme multifractal pour les mesures aléatoires faiblement Gibbs po...
AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write...
In this paper using the Banach limit we have determined a Gibbs-like measure μ h supported by a cook...
In this paper using the Banach limit we have determined a Gibbs-like measure μ h supported by a cook...
The term quantization refers to the process of estimating a given probability by a discrete probabil...
AbstractIn this paper we consider the Gibbs measure on the one-sided shift dynamical system and dete...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
AbstractIn this paper we consider the Gibbs measure on the one-sided shift dynamical system and dete...
AbstractThe quantization dimension function for a probability measure induced by a set of infinite c...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Nous montrons la validité du formalisme multifractal pour les mesures aléatoires faiblement Gibbs po...
AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write...
In this paper using the Banach limit we have determined a Gibbs-like measure μ h supported by a cook...
In this paper using the Banach limit we have determined a Gibbs-like measure μ h supported by a cook...
The term quantization refers to the process of estimating a given probability by a discrete probabil...
AbstractIn this paper we consider the Gibbs measure on the one-sided shift dynamical system and dete...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
Let μ be the attracting measure of a condensation system consisting of a finite system of conformal ...
AbstractIn this paper we consider the Gibbs measure on the one-sided shift dynamical system and dete...
AbstractThe quantization dimension function for a probability measure induced by a set of infinite c...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
We provide a full picture of the upper quantization dimension in term of the R\'enyi dimension, in t...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
We establish the validity of the multifractal formalism for random weak Gibbs measures supported on ...
Nous montrons la validité du formalisme multifractal pour les mesures aléatoires faiblement Gibbs po...
AbstractLet X be a metric space and μ a Borel probability measure on X. For q, t ∈ R and E ⊆ X write...