130 research outputs found
The Spectrum of the Partially Locked State for the Kuramoto Model
We solve a longstanding stability problem for the Kuramoto model of coupled
oscillators. This system has attracted mathematical attention, in part because
of its applications in fields ranging from neuroscience to condensed-matter
physics, and also because it provides a beautiful connection between nonlinear
dynamics and statistical mechanics. The model consists of a large population of
phase oscillators with all-to-all sinusoidal coupling. The oscillators'
intrinsic frequencies are randomly distributed across the population according
to a prescribed probability density, here taken to be unimodal and symmetric
about its mean. As the coupling between the oscillators is increased, the
system spontaneously synchronizes: the oscillators near the center of the
frequency distribution lock their phases together and run at the same
frequency, while those in the tails remain unlocked and drift at different
frequencies. Although this ``partially locked'' state has been observed in
simulations for decades, its stability has never been analyzed mathematically.
Part of the difficulty is in formulating a reasonable infinite-N limit of the
model. Here we describe such a continuum limit, and prove that the
corresponding partially locked state is, in fact, neutrally stable, contrary to
what one might have expected. The possible implications of this result are
discussed
Pinned states in Josephson arrays: A general stability theorem
Using the lumped circuit equations, we derive a stability criterion for
superconducting pinned states in two-dimensional arrays of Josephson junctions.
The analysis neglects quantum, thermal, and inductive effects, but allows
disordered junctions, arbitrary network connectivity, and arbitrary spatial
patterns of applied magnetic flux and DC current injection. We prove that a
pinned state is linearly stable if and only if its corresponding stiffness
matrix is positive definite. This algebraic condition can be used to predict
the critical current and frustration at which depinning occurs.Comment: To appear in Phys. Rev.
Simple model for the Darwinian transition in early evolution
It has been hypothesized that in the era just before the last universal
common ancestor emerged, life on earth was fundamentally collective. Ancient
life forms shared their genetic material freely through massive horizontal gene
transfer (HGT). At a certain point, however, life made a transition to the
modern era of individuality and vertical descent. Here we present a minimal
model for this hypothesized "Darwinian transition." The model suggests that
HGT-dominated dynamics may have been intermittently interrupted by
selection-driven processes during which genotypes became fitter and decreased
their inclination toward HGT. Stochastic switching in the population dynamics
with three-point (hypernetwork) interactions may have destabilized the
HGT-dominated collective state and led to the emergence of vertical descent and
the first well-defined species in early evolution. A nonlinear analysis of a
stochastic model dynamics covering key features of evolutionary processes (such
as selection, mutation, drift and HGT) supports this view. Our findings thus
suggest a viable route from early collective evolution to the start of
individuality and vertical Darwinian evolution, enabling the emergence of the
first species.Comment: 9 pages, 5 figures, under review at Physical Review
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