11/8/2023
A Universal Description of Stochastic Oscillators
Peter Thomas
Department of Mathematics, Applied Mathematics, and Statistics
Case Western Reserve University
Many systems in physics, chemistry and biology exhibit oscillations
with a pronounced random component. Such stochastic oscillations can emerge via
different mechanisms, for example linear dynamics of a stable focus with
fluctuations, limit-cycle systems perturbed by noise, or excitable systems in
which random inputs lead to a train of pulses. Despite their diverse origins,
the phenomenology of random oscillations can be strikingly similar. In joint
work with Alberto Perez, Benjamin Lindner, and Boris Gutkin, we introduce a
nonlinear transformation of stochastic oscillators to a new complex-valued
function $Q^*_1(\mbx)$ that greatly simplifies and unifies the mathematical
description of the oscillator's spontaneous activity, its response to an
external time-dependent perturbation, and the correlation statistics of
different oscillators that are weakly coupled. The function $Q^*_1(\mbx)$ is the
eigenfunction of the Kolmogorov backward operator with the least negative (but
non-vanishing) eigenvalue $\lambda_1=\mu_1+i\omega_1$. The resulting power
spectrum of the complex-valued function is exactly given by a Lorentz spectrum
with peak frequency $\omega_1$ and half-width $\mu_1$; its susceptibility with
respect to a weak external forcing is given by a simple one-pole filter,
centered around $\omega_1$; and the cross-spectrum between two coupled
oscillators can be easily expressed by a combination of the spontaneous power
spectra of the uncoupled systems and their susceptibilities. Our approach makes
qualitatively different stochastic oscillators comparable, provides simple
characteristics for the coherence of the random oscillation, and gives a
framework for the description of weakly coupled stochastic oscillators.
Joint work with:
Alberto Perez-Cervera (Universitat Politècnica de Catalunya, Barcelona)
Boris Gutkin (Ecole Normale Supérieure, Paris)
Benjamin Lindner (Humboldt University, Berlin)