Observational Modeling of the Kolmogorov-Sinai Entropy
author
Abstract:
In this paper, Kolmogorov-Sinai entropy is studied using mathematical modeling of an observer $ Theta $. The relative entropy of a sub-$ sigma_Theta $-algebra having finite atoms is defined and then the ergodic properties of relative semi-dynamical systems are investigated. Also, a relative version of Kolmogorov-Sinai theorem is given. Finally, it is proved that the relative entropy of a relative $ Theta $-measure preserving transformations with respect to a relative sub-$sigma_Theta$-algebra having finite atoms is affine.
similar resources
Kolmogorov - Sinai Entropy Rate versus Physical Entropy
We elucidate the connection between the Kolmogorov-Sinai entropy rate k and the time evolution of the physical or statistical entropy S. For a large family of chaotic conservative dynamical systems including the simplest ones, the evolution of Sstd for far-from-equilibrium processes includes a stage during which S is a simple linear function of time whose slope is k. We present numerical confir...
full textKolmogorov-Sinai entropy from the ordinal viewpoint
In the case of ergodicity much of the structure of a one-dimensional time-discrete dynamical system is already determined by its ordinal structure. We generally discuss this phenomenon by considering the distribution of ordinal patterns, which describe the up and down in the orbits of a Borel measurable map on a subset of the real numbers. In particular, we give a natural ordinal description of...
full textEigenvalue Estimates Using the Kolmogorov-Sinai Entropy
The scope of this paper is twofold. First, we use the Kolmogorov-Sinai Entropy to estimate lower bounds for dominant eigenvalues of nonnegative matrices. The lower bound is better than the Rayleigh quotient. Second, we use this estimate to give a nontrivial lower bound for the gaps of dominant eigenvalues ofA and A+V.
full textKolmogorov–Sinai entropy from recurrence times
Observing how long a dynamical system takes to return to some state is one of the most simple ways to model and quantify its dynamics from data series. This work proposes two formulas to estimate the KS entropy and a lower bound of it, a sort of Shannon’s entropy per unit of time, from the recurrence times of chaotic systems. One formula provides the KS entropy and is more theoretically oriente...
full textPositive Kolmogorov-Sinai entropy for the Standard map
We prove that the Kolmogorov-Sinai entropy of the Chirikov-Standard map Tλf : (x, y) 7→ (2x − y + λf(x), x) with f(x) = sin(x) with respect to the invariant Lebesgue measure on the two-dimensional torus is bounded below by log(λ/2) − C(λ) with C(λ) = arcsinh(1/λ) + log(2/ √ 3). For λ > λ0 = (8/(6 − 3 √ 3)) = 3.1547..., the entropy of Tλ sin is positive. This result is stable in Banach spaces of...
full textMy Resources
Journal title
volume 13 issue 1
pages 101- 114
publication date 2019-02-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023