Generalized (c,d)-Entropy and Aging Random Walks

Complex systems are often inherently non-ergodic and non-Markovian and Shannon entropy loses its applicability. Accelerating, path-dependent and aging random walks offer an intuitive picture for non-ergodic and non-Markovian systems. It was shown that the entropy of non-ergodic systems can still be...

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Main Authors: Rudolf Hanel, Stefan Thurner
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/15/12/5324
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author Rudolf Hanel
Stefan Thurner
author_facet Rudolf Hanel
Stefan Thurner
author_sort Rudolf Hanel
collection DOAJ
description Complex systems are often inherently non-ergodic and non-Markovian and Shannon entropy loses its applicability. Accelerating, path-dependent and aging random walks offer an intuitive picture for non-ergodic and non-Markovian systems. It was shown that the entropy of non-ergodic systems can still be derived from three of the Shannon–Khinchin axioms and by violating the fourth, the so-called composition axiom. The corresponding entropy is of the form Sc,d ~ ∑iΓ(1 + d, 1 − cln pi) and depends on two system-specific scaling exponents, c and d. This entropy contains many recently proposed entropy functionals as special cases, including Shannon and Tsallis entropy. It was shown that this entropy is relevant for a special class of non-Markovian random walks. In this work, we generalize these walks to a much wider class of stochastic systems that can be characterized as “aging” walks. These are systems whose transition rates between states are path- and time-dependent. We show that for particular aging walks, Sc,d is again the correct extensive entropy. Before the central part of the paper, we review the concept of (c,d)-entropy in a self-contained way.
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spelling doaj.art-958de9c6ee5843129fa4336c662950c92022-12-22T02:18:17ZengMDPI AGEntropy1099-43002013-12-0115125324533710.3390/e15125324e15125324Generalized (c,d)-Entropy and Aging Random WalksRudolf Hanel0Stefan Thurner1Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, Vienna A-1090, AustriaSection for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, Vienna A-1090, AustriaComplex systems are often inherently non-ergodic and non-Markovian and Shannon entropy loses its applicability. Accelerating, path-dependent and aging random walks offer an intuitive picture for non-ergodic and non-Markovian systems. It was shown that the entropy of non-ergodic systems can still be derived from three of the Shannon–Khinchin axioms and by violating the fourth, the so-called composition axiom. The corresponding entropy is of the form Sc,d ~ ∑iΓ(1 + d, 1 − cln pi) and depends on two system-specific scaling exponents, c and d. This entropy contains many recently proposed entropy functionals as special cases, including Shannon and Tsallis entropy. It was shown that this entropy is relevant for a special class of non-Markovian random walks. In this work, we generalize these walks to a much wider class of stochastic systems that can be characterized as “aging” walks. These are systems whose transition rates between states are path- and time-dependent. We show that for particular aging walks, Sc,d is again the correct extensive entropy. Before the central part of the paper, we review the concept of (c,d)-entropy in a self-contained way.http://www.mdpi.com/1099-4300/15/12/5324non-ergodicextensivitypath-dependencerandom walks with memory
spellingShingle Rudolf Hanel
Stefan Thurner
Generalized (c,d)-Entropy and Aging Random Walks
Entropy
non-ergodic
extensivity
path-dependence
random walks with memory
title Generalized (c,d)-Entropy and Aging Random Walks
title_full Generalized (c,d)-Entropy and Aging Random Walks
title_fullStr Generalized (c,d)-Entropy and Aging Random Walks
title_full_unstemmed Generalized (c,d)-Entropy and Aging Random Walks
title_short Generalized (c,d)-Entropy and Aging Random Walks
title_sort generalized c d entropy and aging random walks
topic non-ergodic
extensivity
path-dependence
random walks with memory
url http://www.mdpi.com/1099-4300/15/12/5324
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