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Displaying 61 – 80 of 193

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Generic properties of learning systems

Tomasz Szarek (2000)

Annales Polonici Mathematici

It is shown that the set of learning systems having a singular stationary distribution is generic in the family of all systems satisfying the average contractivity condition.

Gibbs measures in a markovian context and dimension

L. Farhane, G. Michon (2001)

Colloquium Mathematicae

The main goal is to use Gibbs measures in a markovian matrices context and in a more general context, to compute the Hausdorff dimension of subsets of [0, 1[ and [0, 1[². We introduce a parameter t which could be interpreted within thermodynamic framework as the variable conjugate to energy. In some particular cases we recover the Shannon-McMillan-Breiman and Eggleston theorems. Our proofs are deeply rooted in the properties of non-negative irreducible matrices and large deviations techniques as...

Invariant measures for iterated function systems

Tomasz Szarek (2000)

Annales Polonici Mathematici

A new criterion for the existence of an invariant distribution for Markov operators is presented. Moreover, it is also shown that the unique invariant distribution of an iterated function system is singular with respect to the Hausdorff measure.

Iterates and the boundary behavior of the Berezin transform

Jonathan Arazy, Miroslav Engliš (2001)

Annales de l’institut Fourier

Let μ be a measure on a domain Ω in n such that the Bergman space of holomorphic functions in L 2 ( Ω , μ ) possesses a reproducing kernel K ( x , y ) and K ( x , x ) > 0 x Ω . The Berezin transform associated to μ is the integral...

Currently displaying 61 – 80 of 193