Scaling behaviour for recurrence-based measures at the edge of chaos

被引:5
作者
Afsar, Ozgur [1 ,2 ]
Eroglu, Deniz [2 ,3 ]
Marwan, Norbert [2 ]
Kurths, Juergen [2 ,3 ,4 ]
机构
[1] Ege Univ, Fac Sci, Dept Phys, TR-35100 Izmir, Turkey
[2] Potsdam Inst Climate Impact Res PIK, D-14473 Potsdam, Germany
[3] Humboldt Univ, Dept Phys, D-12489 Berlin, Germany
[4] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 3UE, Scotland
关键词
NON-LINEAR TRANSFORMATIONS; TIME-SERIES; QUANTIFICATION ANALYSIS; DYNAMICS; PLOTS; SYSTEMS; DISTRIBUTIONS; OSCILLATOR; ROBUSTNESS; EQUATION;
D O I
10.1209/0295-5075/112/10005
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The study of phase transitions with critical exponents has helped to understand fundamental physical mechanisms. Dynamical systems which go to chaos via period doublings show an equivalent behavior during transitions between different dynamical regimes that can be expressed by critical exponents, known as the Huberman-Rudnick scaling law. This universal law is well studied, e.g., with respect to the Lyapunov exponents. Recurrence plots and related recurrence quantification analysis are popular tools to investigate the regime transitions in dynamical systems. However, the measures are mostly heuristically defined and lack clear theoretical justification. In this letter we link a selection of these heuristical measures with theory by numerically studying their scaling behavior when approaching a phase transition point. We find a promising similarity between the critical exponents to those of the Huberman-Rudnick scaling law, suggesting that the considered measures are able to indicate dynamical phase transition even from the theoretical point of view. Copyright (C) EPLA, 2015
引用
收藏
页数:6
相关论文
共 38 条
  • [1] Recurrence-based detection of the hyperchaos-chaos transition in an electronic circuit
    Ngamga, E. J.
    Buscarino, A.
    Frasca, M.
    Sciuto, G.
    Kurths, J.
    Fortuna, L.
    CHAOS, 2010, 20 (04)
  • [2] Confidence bounds of recurrence-based complexity measures
    Schinkel, Stefan
    Marwan, N.
    Dimigen, O.
    Kurths, J.
    PHYSICS LETTERS A, 2009, 373 (26) : 2245 - 2250
  • [3] Application of Recurrence-Based Methods to Heart Work Analysis
    Iwaniec, Joanna
    Iwaniec, Marek
    ADVANCES IN TECHNICAL DIAGNOSTICS, 2018, 10 : 343 - 352
  • [4] Recurrence-based diagnostics of rotary systems
    Ambrozkiewicz, B.
    Meier, N.
    Guo, Y.
    Litak, G.
    Georgiadis, A.
    IV INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN ENGINEERING SCIENCE (CMES'19), 2019, 710
  • [5] A nonlinear, recurrence-based approach to traffic classification
    Palmieri, Francesco
    Fiore, Ugo
    COMPUTER NETWORKS, 2009, 53 (06) : 761 - 773
  • [6] Recurrence-based reconstruction of dynamic pricing attractors
    Lu, Shuixiu
    Oberst, Sebastian
    NONLINEAR DYNAMICS, 2023, 111 (16) : 15263 - 15278
  • [7] Self-organized topology of recurrence-based complex networks
    Yang, Hui
    Liu, Gang
    CHAOS, 2013, 23 (04)
  • [8] Recurrence-based analysis of barrier breakup in the standard nontwist map
    Santos, Moises S.
    Mugnaine, Michele
    Szezech, Jose D., Jr.
    Batista, Antonio M.
    Caldas, Ibere L.
    Baptista, Murilo S.
    Viana, Ricardo L.
    CHAOS, 2018, 28 (08)
  • [9] Optimizing self-organized topology of recurrence-based complex networks
    Li, Conggai
    Lai, Joseph C. S.
    Oberst, Sebastian
    CHAOS, 2025, 35 (03)
  • [10] Ambiguities in recurrence-based complex network representations of time series
    Donner, Reik V.
    Zou, Yong
    Donges, Jonathan F.
    Marwan, Norbert
    Kurths, Juergen
    PHYSICAL REVIEW E, 2010, 81 (01):