Binary N-Step Markov Chains and Long-Range Correlated Systems

O. V. Usatenko and V. A. Yampol’skii
Phys. Rev. Lett. 90, 110601 – Published 20 March 2003

Abstract

A theory of systems with long-range correlations based on the consideration of binary N-step Markov chains is developed. In our model, the conditional probability that the ith symbol in the chain equals zero (or unity) is a linear function of the number of unities among the preceding N symbols. The correlation and distribution functions as well as the variance of number of symbols in the words of arbitrary length L are obtained analytically and numerically. If the persistent correlations are not extremely strong, the variance is shown to be nonlinearly dependent on L. A self-similarity of the studied stochastic process is revealed. The applicability of the developed theory to the coarse-grained written and DNA texts is discussed.

  • Figure
  • Figure
  • Figure
  • Received 14 November 2002

DOI:https://doi.org/10.1103/PhysRevLett.90.110601

©2003 American Physical Society

Authors & Affiliations

O. V. Usatenko and V. A. Yampol’skii

  • A. Ya. Usikov Institute for Radiophysics and Electronics, Ukrainian Academy of Science, 12 Proskura Street, 61085 Kharkov, Ukraine

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 90, Iss. 11 — 21 March 2003

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×