Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Computing Lyapunov dimension and applying it for geomagnetic indices prediction

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • المؤلفون: Ivanov, Serhii M.; Yatsenko, Vitaliy O.
  • المصدر:
    System research and information technologies; No. 3 (2018); 122-132; № 3 (2018); 122-132; № 3 (2018); 122-132; 2308-8893; 1681-6048
  • نوع التسجيلة:
    Electronic Resource
  • الدخول الالكتروني :
    http://journal.iasa.kpi.ua/article/view/139712
    http://journal.iasa.kpi.ua/article/view/139712/149360
    http://journal.iasa.kpi.ua/article/view/139712/149360
  • معلومة اضافية
    • Publisher Information:
      The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2018-10-16
    • نبذة مختصرة :
      A method for computing the Lyapunov dimension from the realization of one variable of a dynamical system is proposed. The equality of the information dimension, the Lyapunov dimension, and capacity dimension is noted. The entropy of the distribution of the norms of the tangent vectors of a dynamical system and the Lyapunov dimension are considered together. Theoretical calculations are accompanied by an example of a numerical calculation of the Lyapunov dimension and the mentioned entropy for time series of geomagnetic Kp, Dst, and AE indices. In the considered indices, the entropy is close to the maximum value, and this leads to the closeness of the Lyapunov dimension to the capacity. A variable structure of the Dst index is noted. Using the example of geomagnetic indices, it is confirmed that the Grassberger-Procaccia correlation dimension is smaller than the Lyapunov dimension.
    • الموضوع:
    • Availability:
      Open access content. Open access content
    • Note:
      application/pdf
      System research and information technologies
      Russian
    • Other Numbers:
      UANTU oai:ojs.journals.uran.ua:article/139712
      1081311673
    • Contributing Source:
      NATIONAL TECH UNIV OF UKRAINE
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1081311673
HoldingsOnline