2009 APS March Meeting
Volume 54, Number 1
Monday–Friday, March 16–20, 2009;
Pittsburgh, Pennsylvania
Session Z2: Detection of Non-Gaussian Noise in Mesoscopic Systems
11:15 AM–2:15 PM,
Friday, March 20, 2009
Room: Spirit of Pittsburgh Ballrom BC
Sponsoring
Unit:
DCMP
Chair: Norman Birge, Michigan State University
Abstract ID: BAPS.2009.MAR.Z2.3
Abstract: Z2.00003 : Fluctuation-induced switching and the switching path distribution.
12:27 PM–1:03 PM
Preview Abstract
Abstract
Author:
Mark Dykman
(Michigan State University)
Fluctuation-induced switching is at the root of diverse phenomena
currently studied in Josephson junctions, nano-mechanical
systems, nano-magnets, and optically trapped atoms. In a
fluctuation leading to switching the system
must overcome an effective barrier, making switching events rare,
for low fluctuation intensity. We will provide an overview of the
methods of finding the switching barrier for systems away from
thermal equilibrium. Generic features of the barrier, such as
scaling with the system parameters, will be discussed. We will
also discuss the motion of the system in switching and
the ways of controlling it. Two major classes of systems will be
considered: dynamical systems, where fluctuations are induced by
noise, and birth-death systems. Even though the motion during
switching is random, the paths followed in switching form a
narrow tube in phase space of the system centered at the most
probable path. The paths distribution is generally Gaussian and
has specific features, which have been seen in the experiment
[1]. Finding the most probable path itself can be reduced to
solving a problem of Hamiltonian dynamics of an auxiliary
noise-free system. The solution also gives the switching barrier.
The barrier can be found explicitly close to parameter values
where the number of stable states of the system changes and the
dynamics is controlled by a slow variable. The
scaling of the barrier height depends on the type of the
corresponding bifurcation. We show that, both for birth-death and
for Gaussian noise driven systems, the presence of even weak
non-Gaussian noise can strongly modify the switching rate. The
effect is described in a simple explicit form [2,3]. Weak
deviations of the noise statistics from Gaussian can be
sensitively detected using balanced dynamical bridge, where this
deviation makes the populations of coexisting stable states
different from each other; a realization of such a bridge will be
discussed. We will also discuss the sharp anisotropy of
fluctuations induced by Poisson noise in overdamped
systems and how it is changed with decreasing damping.
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[1] H. B. Chan, M. I. Dykman, and C. Stambaugh , Phys. Rev. Lett.
\textbf{100}, 130602 (2008).
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[2] M. I. Dykman, I. B. Schwartz, A. S. Landsman, Phys. Rev.
Letts. \textbf{101, }078101 (2008).
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[3] L. Billings, M. I. Dykman, and I. B. Schwartz, Phys. Rev. E
\textbf{78} (2008).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2009.MAR.Z2.3