Results 281 to 290 of about 150,661 (326)

Runtime Monitoring of Static Fairness Properties

open access: yes
Henzinger TA   +3 more
europepmc   +1 more source

FRACTALS, SEMIFRACTALS AND MARKOV OPERATORS

International Journal of Bifurcation and Chaos, 1999
The paper contains a review of results concerning the theory of iterated function systems (IFS) acting on an arbitrary metric space (without any assumption of compactness). First we discuss IFS acting on sets and we define fractals and semifractals using topological limits.
Lasota, A., Myjak, J.
openaire   +1 more source

Constructive Approximations of Markov Operators

Journal of Statistical Physics, 2001
The authors propose a class of continuous piecewise linear approximations to Markov operators defined on \(L^1(I^N)\), where \(I^N\equiv [0,1]^N\) is the \(N\)-dimensional unit cube of \(\mathbb{R}^N\), and investigate various properties of such approximations.
Ding, Jiu, Zhou, Aihui
openaire   +1 more source

Equicontinuous Markov Operators

Theory of Probability & Its Applications, 1964
In the paper we study limit properties of equicontinuous (nearly periodic) positive operators which transform continuous functions into continuous ones. The domain of definition of the functions is a compact Hausdorff space X. Section 1 contains some preliminary information. In Section 2, positive Markov operators are considered.
openaire   +2 more sources

Dynamical Entropy for Markov Operators

Journal of Dynamical and Control Systems, 2000
The author defines and examines the entropy for the class of Markov operators, an intermediate case between the classical and quantum systems. The author proves that in the case \(Pf(x)= f(Tx)\), where \(T\) is a measure preserving transformation and \(P\) is a Markov operator, the newly defined entropy coincides with the Kolmogorov-Sinai entropy of ...
openaire   +2 more sources

Constrictive Markov operators induced by Markov processes

Positivity, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Infinitesimal Operators of Markov Processes

Theory of Probability & Its Applications, 1956
In 1931 A. Kolmogorov showed [9] that a wide class of one dimensional Markov processes can be described by the differential equation \[(1)\qquad \frac{{\partial u}}{{\partial t}} + a\frac{{\partial ^2 u}}{{\partial x^2 }} + b\frac{{\partial u}}{{\partial x}}.\]Are there one-dimensional Markov processes governed by equations of the type \[ (2)\qquad ...
openaire   +2 more sources

Markov and Foias Operators

1994
Throughout this book we have studied the asymptotic behavior of densities. However, in some cases the statistical properties of dynamical systems are better described if we use a more general notion than a density, namely, a measure. In fact, the sequences (or flows) of measures generated by dynamical systems simultaneously generalize the notion of ...
Andrzej Lasota, Michael C. Mackey
openaire   +1 more source

Home - About - Disclaimer - Privacy