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~σiγ(1+d; 1-c ln 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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
CITATION STYLE
Hanel, R., & Thurner, S. (2013). Generalized (c,d)-entropy and aging randomwalks. Entropy, 15(12), 5324–5337. https://doi.org/10.3390/e15125324
Mendeley helps you to discover research relevant for your work.