Gaussian perturbations of circle maps: A spectral approach
John Mayberry
Source: Ann. Appl. Probab.
Volume 19, Number 3
(2009), 1143-1171.
Abstract
In this work, we examine spectral properties of Markov transition operators corresponding to Gaussian perturbations of discrete time dynamical systems on the circle. We develop a method for calculating asymptotic expressions for eigenvalues (in the zero noise limit) and show that changes to the number or period of stable orbits for the deterministic system correspond to changes in the number of limiting modulus 1 eigenvalues of the transition operator for the perturbed process. We call this phenomenon a λ-bifurcation. Asymptotic expressions for the corresponding eigenfunctions and eigenmeasures are also derived and are related to Hermite functions.
Primary Subjects: 60J05, 37H20
Secondary Subjects: 47A55
Keywords: Random perturbations; Markov chains; transition operators; stochastic bifurcations; integrate-and-fire models; eigenvalues; pseudospectra
Full-text: Access denied (no subscription detected)
We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription.
Read more about accessing full-text
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.aoap/1245071022
Digital Object Identifier: doi:10.1214/08-AAP573
Zentralblatt MATH identifier:
05580236
Mathematical Reviews number (MathSciNet):
MR2537202
References
[1] Baxendale, P. H. and Mayberry, J. (2009). A spectral analysis of the sequence of firing phases in stochastic integrate-and-fire oscillators. In progress.
[2] Crauel, H., Imkeller, P. and Steinkamp, M. (1999). Bifurcations of one-dimensional stochastic differential equations. In Stochastic Dynamics (Bremen, 1997) 27–47. Springer, New York.
[3] Doi, S., Inoue, J. and Kumagai, S. (1998). Spectral analysis of stochastic phase lockings and stochastic bifurcations in the sinusoidally forced van der Pol oscillator with additive noise. J. Statist. Phys. 90 1107–1127.
[4] Durrett, R. (2005). Probability: Theory and Examples, 3rd ed. Duxbury Press, Belmont, CA.
[5] Horita, T., Kanamaru, T. and Akishita, T. (1999). Stochastic resonance-like behavior in the sine-circle map. Progr. Theoret. Phys. 102 1057–1064.
[6] Kato, T. (1976). Perturbation Theory for Linear Operators. Springer, New York.
Mathematical Reviews (MathSciNet):
MR407617
[7] Kifer, Y. I. (1980). The spectrum of small random perturbations of dynamical systems. In Multicomponent Random Systems. Advances in Probability and Related Topics 6 423–450. Dekker, New York.
Mathematical Reviews (MathSciNet):
MR599543
[8] Szego, G. (1975). Orthogonal Polynomials. Amer. Math. Soc., Providence, RI.
Mathematical Reviews (MathSciNet):
MR372517
[9] Tateno, T. (1998). Characterization of stochastic bifurcations in a simple biological oscillator. J. Statist. Phys. 92 675–705.
[10] Tateno, T. (2002). Noise-induced effects on period-doubling bifurcation for integrate-and-fire oscillators. Phys. Rev. E 65 1–10.
[11] Tateno, T. and Jimbo, Y. (2000). Stochastic mode-locking for a noisy integrate-and-fire oscillator. Phys. Lett. A 271 227–236.
[12] Trefethen, L. and Embree, M. (2005). Spectra and Pseudospectra: The Behavior of Nonnormal Matrices and Operators. Princeton Univ. Press, Princeton, NJ.