SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES

J C SOMMERER, E OTT, C GREBOGI

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

We consider the influence of random noise on low-dimensional, nonlinear dynamical systems with parameters near values leading to a crisis in the absence of noise. In a crisis, one of several characteristic changes in a chaotic attractor takes place as a system parameter p passes through its crisis value p(c). For each type of change, there is a characteristic temporal behavior of orbits after the crisis (p > p(c) by convention), with a characteristic time scale tau. For an important class of deterministic systems, the dependence of tau on p is tau approximately (p-p(c))-gamma for p slightly greater than p(c). When noise is added to a system with p < p(c), orbits can exhibit the same sorts of characteristic temporal behavior as in the deterministic case for p > p(c) (a noise-induced crisis). Our main result is that for systems whose characteristic times scale as above in the zero-noise limit, the characteristic time in the noisy case scales as tau approximately sigma-gamma-g((p(c)-p)/sigma), where sigma is the characteristic strength of the noise, g(.) is a nonuniversal function depending on the system and noise, and gamma is the critical exponent of the corresponding deterministic crisis. A previous analysis of the noisy logistic map [F. T. Arecchi, R. Badii, and A. Politi, Phys. Lett. 103A, 3 (1984)] is shown to be consistent with our general result. Illustrative numerical examples are given for two-dimensional maps and a three-dimensional flow. In addition, the relevance of the noise scaling law to experimental situations is discussed.

Original languageEnglish
Pages (from-to)1754-1769
Number of pages16
JournalPhysical Review A
Volume43
Issue number4
Publication statusPublished - 15 Feb 1991

Keywords

  • INDUCED INTERMITTENCY
  • CHAOTIC ATTRACTORS
  • CRITICAL EXPONENT
  • TRANSIENT CHAOS
  • OSCILLATOR
  • BEHAVIOR
  • SYSTEMS

Cite this

SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES. / SOMMERER, J C ; OTT, E ; GREBOGI, C .

In: Physical Review A, Vol. 43, No. 4, 15.02.1991, p. 1754-1769.

Research output: Contribution to journalArticle

SOMMERER, JC, OTT, E & GREBOGI, C 1991, 'SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES' Physical Review A, vol. 43, no. 4, pp. 1754-1769.
SOMMERER, J C ; OTT, E ; GREBOGI, C . / SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES. In: Physical Review A. 1991 ; Vol. 43, No. 4. pp. 1754-1769.
@article{799fcc182a1743c2b33c441f7314455f,
title = "SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES",
abstract = "We consider the influence of random noise on low-dimensional, nonlinear dynamical systems with parameters near values leading to a crisis in the absence of noise. In a crisis, one of several characteristic changes in a chaotic attractor takes place as a system parameter p passes through its crisis value p(c). For each type of change, there is a characteristic temporal behavior of orbits after the crisis (p > p(c) by convention), with a characteristic time scale tau. For an important class of deterministic systems, the dependence of tau on p is tau approximately (p-p(c))-gamma for p slightly greater than p(c). When noise is added to a system with p < p(c), orbits can exhibit the same sorts of characteristic temporal behavior as in the deterministic case for p > p(c) (a noise-induced crisis). Our main result is that for systems whose characteristic times scale as above in the zero-noise limit, the characteristic time in the noisy case scales as tau approximately sigma-gamma-g((p(c)-p)/sigma), where sigma is the characteristic strength of the noise, g(.) is a nonuniversal function depending on the system and noise, and gamma is the critical exponent of the corresponding deterministic crisis. A previous analysis of the noisy logistic map [F. T. Arecchi, R. Badii, and A. Politi, Phys. Lett. 103A, 3 (1984)] is shown to be consistent with our general result. Illustrative numerical examples are given for two-dimensional maps and a three-dimensional flow. In addition, the relevance of the noise scaling law to experimental situations is discussed.",
keywords = "INDUCED INTERMITTENCY, CHAOTIC ATTRACTORS, CRITICAL EXPONENT, TRANSIENT CHAOS, OSCILLATOR, BEHAVIOR, SYSTEMS",
author = "SOMMERER, {J C} and E OTT and C GREBOGI",
year = "1991",
month = "2",
day = "15",
language = "English",
volume = "43",
pages = "1754--1769",
journal = "Physical Review A",
issn = "1050-2947",
publisher = "American Physical Society",
number = "4",

}

TY - JOUR

T1 - SCALING LAW FOR CHARACTERISTIC TIMES OF NOISE-INDUCED CRISES

AU - SOMMERER, J C

AU - OTT, E

AU - GREBOGI, C

PY - 1991/2/15

Y1 - 1991/2/15

N2 - We consider the influence of random noise on low-dimensional, nonlinear dynamical systems with parameters near values leading to a crisis in the absence of noise. In a crisis, one of several characteristic changes in a chaotic attractor takes place as a system parameter p passes through its crisis value p(c). For each type of change, there is a characteristic temporal behavior of orbits after the crisis (p > p(c) by convention), with a characteristic time scale tau. For an important class of deterministic systems, the dependence of tau on p is tau approximately (p-p(c))-gamma for p slightly greater than p(c). When noise is added to a system with p < p(c), orbits can exhibit the same sorts of characteristic temporal behavior as in the deterministic case for p > p(c) (a noise-induced crisis). Our main result is that for systems whose characteristic times scale as above in the zero-noise limit, the characteristic time in the noisy case scales as tau approximately sigma-gamma-g((p(c)-p)/sigma), where sigma is the characteristic strength of the noise, g(.) is a nonuniversal function depending on the system and noise, and gamma is the critical exponent of the corresponding deterministic crisis. A previous analysis of the noisy logistic map [F. T. Arecchi, R. Badii, and A. Politi, Phys. Lett. 103A, 3 (1984)] is shown to be consistent with our general result. Illustrative numerical examples are given for two-dimensional maps and a three-dimensional flow. In addition, the relevance of the noise scaling law to experimental situations is discussed.

AB - We consider the influence of random noise on low-dimensional, nonlinear dynamical systems with parameters near values leading to a crisis in the absence of noise. In a crisis, one of several characteristic changes in a chaotic attractor takes place as a system parameter p passes through its crisis value p(c). For each type of change, there is a characteristic temporal behavior of orbits after the crisis (p > p(c) by convention), with a characteristic time scale tau. For an important class of deterministic systems, the dependence of tau on p is tau approximately (p-p(c))-gamma for p slightly greater than p(c). When noise is added to a system with p < p(c), orbits can exhibit the same sorts of characteristic temporal behavior as in the deterministic case for p > p(c) (a noise-induced crisis). Our main result is that for systems whose characteristic times scale as above in the zero-noise limit, the characteristic time in the noisy case scales as tau approximately sigma-gamma-g((p(c)-p)/sigma), where sigma is the characteristic strength of the noise, g(.) is a nonuniversal function depending on the system and noise, and gamma is the critical exponent of the corresponding deterministic crisis. A previous analysis of the noisy logistic map [F. T. Arecchi, R. Badii, and A. Politi, Phys. Lett. 103A, 3 (1984)] is shown to be consistent with our general result. Illustrative numerical examples are given for two-dimensional maps and a three-dimensional flow. In addition, the relevance of the noise scaling law to experimental situations is discussed.

KW - INDUCED INTERMITTENCY

KW - CHAOTIC ATTRACTORS

KW - CRITICAL EXPONENT

KW - TRANSIENT CHAOS

KW - OSCILLATOR

KW - BEHAVIOR

KW - SYSTEMS

M3 - Article

VL - 43

SP - 1754

EP - 1769

JO - Physical Review A

JF - Physical Review A

SN - 1050-2947

IS - 4

ER -