Generalized (c,d)-entropy and aging random walks
arXiv:1310.5959 · doi:10.3390/e15125324
Abstract
Complex systems are often inherently non-ergodic and non-Markovian for which Shannon entropy loses its applicability. In particular accelerating, path-dependent, and aging random walks offer an intuitive picture for these 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 and depends on two system-specific scaling exponents, and . 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' systems. These are systems whose transition rates between states are path- and time-dependent. We show that for particular aging walks is again the correct extensive entropy. Before the central part of the paper we review the concept of -entropy in a self-contained way.
8 pages, 5 eps figures. arXiv admin note: substantial text overlap with arXiv:1104.2070
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