15,473 research outputs found
Abelian deterministic self organized criticality model: Complex dynamics of avalanche waves
The aim of this study is to investigate a wave dynamics and size scaling of
avalanches which were created by the mathematical model {[}J. \v{C}ern\'ak
Phys. Rev. E \textbf{65}, 046141 (2002)]. Numerical simulations were carried
out on a two dimensional lattice in which two constant thresholds
and were randomly distributed. A density
of sites with the threshold and threshold are
parameters of the model. I have determined autocorrelations of avalanche size
waves, Hurst exponents, avalanche structures and avalanche size moments for
several densities and thresholds . I found correlated avalanche
size waves and multifractal scaling of avalanche sizes not only for specific
conditions, densities , 1.0 and thresholds , in
which relaxation rules were precisely balanced, but also for more general
conditions, densities and thresholds $8\leq E_{c}^{II}\leq3 in
which relaxation rules were unbalanced. The results suggest that the hypothesis
of a precise relaxation balance could be a specific case of a more general
rule
Voltage-Current curves for small Josephson junction arrays
We compute the current voltage characteristic of a chain of identical
Josephson circuits characterized by a large ratio of Josephson to charging
energy that are envisioned as the implementation of topologically protected
qubits. We show that in the limit of small coupling to the environment it
exhibits a non-monotonous behavior with a maximum voltage followed by a
parametrically large region where . We argue that its
experimental measurement provides a direct probe of the amplitude of the
quantum transitions in constituting Josephson circuits and thus allows their
full characterization.Comment: 12 pages, 4 figure
Stable fractal sums of pulses: the cylindrical case
A class of α-stable, 0\textlessα\textless2, processes is obtained as a sum of ’up-and-down’ pulses determined by an appropriate Poisson random measure. Processes are H-self-affine (also frequently called ’self-similar’) with H\textless1/α and have stationary increments. Their two-dimensional dependence structure resembles that of the fractional Brownian motion (for H\textless1/2), but their sample paths are highly irregular (nowhere bounded with probability 1). Generalizations using different shapes of pulses are also discussed
Matrix Product State description of the Halperin States
Many fractional quantum Hall states can be expressed as a correlator of a
given conformal field theory used to describe their edge physics. As a
consequence, these states admit an economical representation as an exact Matrix
Product States (MPS) that was extensively studied for the systems without any
spin or any other internal degrees of freedom. In that case, the correlators
are built from a single electronic operator, which is primary with respect to
the underlying conformal field theory. We generalize this construction to the
archetype of Abelian multicomponent fractional quantum Hall wavefunctions, the
Halperin states. These latest can be written as conformal blocks involving
multiple electronic operators and we explicitly derive their exact MPS
representation. In particular, we deal with the caveat of the full wavefunction
symmetry and show that any additional SU(2) symmetry is preserved by the
natural MPS truncation scheme provided by the conformal dimension. We use our
method to characterize the topological order of the Halperin states by
extracting the topological entanglement entropy. We also evaluate their bulk
correlation length which are compared to plasma analogy arguments.Comment: 23 pages, 16 figure
The Galactic potential and the asymmetric distribution of hypervelocity stars
In recent years several hypervelocity stars (HVSs) have been observed in the
halo of our Galaxy. Such HVSs have possibly been ejected from the Galactic
center and then propagated in the Galactic potential up to their current
position. The recent survey for candidate HVSs show an asymmetry in the
kinematics of candidate HVSs (position and velocity vectors), where more
outgoing stars than ingoing stars (i.e. positive Galactocentric velocities vs.
negative ones) are observed. We show that such kinematic asymmetry, which is
likely due to the finite lifetime of the stars and Galactic potential
structure, could be used in a novel method to probe and constrain the Galactic
potential, identify the stellar type of the stars in the survey and estimate
the number of HVSs. Kinematics-independent identification of the stellar types
of the stars in such surveys (e.g. spectroscopic identification) could further
improve these results. We find that the observed asymmetry between ingoing and
outgoing stars favors specific Galactic potential models. It also implies a
lower limit of ~54+-8 main sequence HVSs in the survey sample (>=648+-96 in the
Galaxy), assuming that all of the main sequence stars in the survey originate
from the Galactic center. The other stars in the survey are likely to be hot
blue horizontal branch stars born in the halo rather than stars ejected from
the Galactic center.Comment: 7 pages, 3 figures. Added an appendix. Accepted to Ap
The vibrational dynamics of vitreous silica: Classical force fields vs. first-principles
We compare the vibrational properties of model SiO_2 glasses generated by
molecular-dynamics simulations using the effective force field of van Beest et
al. (BKS) with those obtained when the BKS structure is relaxed using an ab
initio calculation in the framework of the density functional theory. We find
that this relaxation significantly improves the agreement of the density of
states with the experimental result. For frequencies between 14 and 26 THz the
nature of the vibrational modes as determined from the BKS model is very
different from the one from the ab initio calculation, showing that the
interpretation of the vibrational spectra in terms of calculations using
effective potentials can be very misleading.Comment: 7 pages of Latex, 4 figure
Selection mechanisms affect volatility in evolving markets
Financial asset markets are sociotechnical systems whose constituent agents
are subject to evolutionary pressure as unprofitable agents exit the
marketplace and more profitable agents continue to trade assets. Using a
population of evolving zero-intelligence agents and a frequent batch auction
price-discovery mechanism as substrate, we analyze the role played by
evolutionary selection mechanisms in determining macro-observable market
statistics. In particular, we show that selection mechanisms incorporating a
local fitness-proportionate component are associated with high correlation
between a micro, risk-aversion parameter and a commonly-used macro-volatility
statistic, while a purely quantile-based selection mechanism shows
significantly less correlation.Comment: 9 pages, 7 figures, to appear in proceedings of GECCO 2019 as a full
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