Memory Functions of the Additive Markov chains: Applications to Complex Dynamic Systems

dc.creatorMelnyk, S. S.
dc.creatorUsatenko, O. V.
dc.creatorYampol'skii, V. A.
dc.date2004-12-28
dc.date2005-06-17
dc.date.accessioned2026-07-07T05:53:49Z
dc.date.available2026-07-07T05:53:49Z
dc.descriptionA new approach to describing correlation properties of complex dynamic systems with long-range memory based on a concept of additive Markov chains (Phys. Rev. E 68, 061107 (2003)) is developed. An equation connecting a memory function of the chain and its correlation function is presented. This equation allows reconstructing the memory function using the correlation function of the system. Thus, we have elaborated a novel method to generate a sequence with prescribed correlation function. Effectiveness and robustness of the proposed method is demonstrated by simple model examples. Memory functions of concrete coarse-grained literary texts are found and their universal power-law behavior at long distances is revealed.
dc.description5 pages, 5 figures, changes of minor nature, 1 figure added
dc.identifierhttps://arxiv.org/abs/physics/0412169
dc.identifierhttp://arxiv.org/abs/physics/0412169
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/86773
dc.subjectClassical Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleMemory Functions of the Additive Markov chains: Applications to Complex Dynamic Systems
dc.typetext

Files

Collections