524 research outputs found
Adaptation to synchronization in phase-oscillator networks
We introduce an adaptation algorithm by which an ensemble of coupled
oscillators with attractive and repulsive interactions is induced to adopt a
prescribed synchronized state. While the performance of adaptation is
controlled by measuring a macroscopic quantity, which characterizes the
achieved degree of synchronization, adaptive changes are introduced at the
microscopic level of the interaction network, by modifying the configuration of
repulsive interactions. This scheme emulates the distinct levels of selection
and mutation in biological evolution and learning
Dynamical systems with time-dependent coupling: Clustering and critical behaviour
We study the collective behaviour of an ensemble of coupled motile elements
whose interactions depend on time and are alternatively attractive or
repulsive. The evolution of interactions is driven by individual internal
variables with autonomous dynamics. The system exhibits different dynamical
regimes, with various forms of collective organization, controlled by the range
of interactions and the dispersion of time scales in the evolution of the
internal variables. In the limit of large interaction ranges, it reduces to an
ensemble of coupled identical phase oscillators and, to some extent, admits to
be treated analytically. We find and characterize a transition between ordered
and disordered states, mediated by a regime of dynamical clustering.Comment: to appear in Physica
Spontaneous phase oscillation induced by inertia and time delay
We consider a system of coupled oscillators with finite inertia and
time-delayed interaction, and investigate the interplay between inertia and
delay both analytically and numerically. The phase velocity of the system is
examined; revealed in numerical simulations is emergence of spontaneous phase
oscillation without external driving, which turns out to be in good agreement
with analytical results derived in the strong-coupling limit. Such
self-oscillation is found to suppress synchronization and its frequency is
observed to decrease with inertia and delay. We obtain the phase diagram, which
displays oscillatory and stationary phases in the appropriate regions of the
parameters.Comment: 5 pages, 6 figures, to pe published in PR
Phase ordering on small-world networks with nearest-neighbor edges
We investigate global phase coherence in a system of coupled oscillators on a
small-world networks constructed from a ring with nearest-neighbor edges. The
effects of both thermal noise and quenched randomness on phase ordering are
examined and compared with the global coherence in the corresponding \xy model
without quenched randomness. It is found that in the appropriate regime phase
ordering emerges at finite temperatures, even for a tiny fraction of shortcuts.
Nature of the phase transition is also discussed.Comment: 5 pages, 4 figures, Phys. Rev. E (in press
Scaling and singularities in the entrainment of globally-coupled oscillators
The onset of collective behavior in a population of globally coupled
oscillators with randomly distributed frequencies is studied for phase
dynamical models with arbitrary coupling. The population is described by a
Fokker-Planck equation for the distribution of phases which includes the
diffusive effect of noise in the oscillator frequencies. The bifurcation from
the phase-incoherent state is analyzed using amplitude equations for the
unstable modes with particular attention to the dependence of the nonlinearly
saturated mode on the linear growth rate . In general
we find where is the
diffusion coefficient and is the mode number of the unstable mode. The
unusual factor arises from a singularity in the cubic term of
the amplitude equation.Comment: 11 pages (Revtex); paper submitted to Phys. Rev. Let
Global firing induced by network disorder in ensembles of active rotators
We study the influence of repulsive interactions on an ensemble of coupled
excitable rotators. We find that a moderate fraction of repulsive interactions
can trigger global firing of the ensemble. The regime of global firing,
however, is suppressed in sufficiently large systems if the network of
repulsive interactions is fully random, due to self-averaging in its degree
distribution. We thus introduce a model of partially random networks with a
broad degree distribution, where self-averaging due to size growth is absent.
In this case, the regime of global firing persists for large sizes. Our results
extend previous work on the constructive effects of diversity in the collective
dynamics of complex systems.Comment: 8 pages, 6 figure
A moment based approach to the dynamical solution of the Kuramoto model
We examine the dynamics of the Kuramoto model with a new analytical approach.
By defining an appropriate set of moments the dynamical equations can be
exactly closed. We discuss some applications of the formalism like the
existence of an effective Hamiltonian for the dynamics. We also show how this
approach can be used to numerically investigate the dynamical behavior of the
model without finite size effects.Comment: 6 pages, 5 figures, Revtex file, to appear in J. Phys.
Partially and Fully Frustrated Coupled Oscillators With Random Pinning Fields
We have studied two specific models of frustrated and disordered coupled
Kuramoto oscillators, all driven with the same natural frequency, in the
presence of random external pinning fields. Our models are structurally
similar, but differ in their degree of bond frustration and in their finite
size ground state properties (one has random ferro- and anti-ferromagnetic
interactions; the other has random chiral interactions). We have calculated the
equilibrium properties of both models in the thermodynamic limit using the
replica method, with emphasis on the role played by symmetries of the pinning
field distribution, leading to explicit predictions for observables,
transitions, and phase diagrams. For absent pinning fields our two models are
found to behave identically, but pinning fields (provided with appropriate
statistical properties) break this symmetry. Simulation data lend satisfactory
support to our theoretical predictions.Comment: 37 pages, 7 postscript figure
A statistical mechanics of an oscillator associative memory with scattered natural frequencies
Analytic treatment of a non-equilibrium random system with large degrees of
freedoms is one of most important problems of physics. However, little research
has been done on this problem as far as we know. In this paper, we propose a
new mean field theory that can treat a general class of a non-equilibrium
random system. We apply the present theory to an analysis for an associative
memory with oscillatory elements, which is a well-known typical random system
with large degrees of freedoms.Comment: 8 pages, 4 figure
Disturbing synchronization: Propagation of perturbations in networks of coupled oscillators
We study the response of an ensemble of synchronized phase oscillators to an
external harmonic perturbation applied to one of the oscillators. Our main goal
is to relate the propagation of the perturbation signal to the structure of the
interaction network underlying the ensemble. The overall response of the system
is resonant, exhibiting a maximum when the perturbation frequency coincides
with the natural frequency of the phase oscillators. The individual response,
on the other hand, can strongly depend on the distance to the place where the
perturbation is applied. For small distances on a random network, the system
behaves as a linear dissipative medium: the perturbation propagates at constant
speed, while its amplitude decreases exponentially with the distance. For
larger distances, the response saturates to an almost constant level. These
different regimes can be analytically explained in terms of the length
distribution of the paths that propagate the perturbation signal. We study the
extension of these results to other interaction patterns, and show that
essentially the same phenomena are observed in networks of chaotic oscillators.Comment: To appear in Eur. Phys. J.
- …