48 research outputs found
Low prevalence, quasi-stationarity and power-law distribution in a model of spreading
Understanding how contagions (information, infections, etc) are spread on
complex networks is important both from practical as well as theoretical point
of view. Considerable work has been done in this regard in the past decade or
so. However, most models are limited in their scope and as a result only
capture general features of spreading phenomena. Here, we propose and study a
model of spreading which takes into account the strength or quality of
contagions as well as the local (probabilistic) dynamics occurring at various
nodes. Transmission occurs only after the quality-based fitness of the
contagion has been evaluated by the local agent. The model exhibits
quality-dependent exponential time scales at early times leading to a slowly
evolving quasi-stationary state. Low prevalence is seen for a wide range of
contagion quality for arbitrary large networks. We also investigate the
activity of nodes and find a power-law distribution with a robust exponent
independent of network topology. Our results are consistent with recent
empirical observations.Comment: 7 pages, 8 figures. (Submitted
Time parameterization and stationary distributions in a relativistic gas
In this paper we consider the effect of different time parameterizations on
the stationary velocity distribution function for a relativistic gas. We
clarify the distinction between two such distributions, namely the J\"{u}ttner
and the modified J\"{u}ttner distributions. Using a recently proposed model of
a relativistic gas, we show that the obtained results for the proper-time
averaging does not lead to modified J\"{u}ttner distribution (as recently
conjectured), but introduces only a Lorentz factor to the well-known
J\"{u}ttner function which results from observer-time averaging. We obtain
results for rest frame as well as moving frame in order to support our claim.Comment: 5 pages, 2 figure
Multi-partite entanglement and quantum phase transition in the one-, two-, and three-dimensional transverse field Ising model
In this paper we consider the quantum phase transition in the Ising model in
the presence of a transverse field in one, two and three dimensions from a
multi-partite entanglement point of view. Using \emph{exact} numerical
solutions, we are able to study such systems up to 25 qubits. The Meyer-Wallach
measure of global entanglement is used to study the critical behavior of this
model. The transition we consider is between a symmetric GHZ-like state to a
paramagnetic product-state. We find that global entanglement serves as a good
indicator of quantum phase transition with interesting scaling behavior. We use
finite-size scaling to extract the critical point as well as some critical
exponents for the one and two dimensional models. Our results indicate that
such multi-partite measure of global entanglement shows universal features
regardless of dimension . Our results also provides evidence that
multi-partite entanglement is better suited for the study of quantum phase
transitions than the much studied bi-partite measures.Comment: 7 pages, 8 Figures. To appear in Physical Review
Fine Structure of Avalanches in the Abelian Sandpile Model
We study the two-dimensional Abelian Sandpile Model on a square lattice of
linear size L. We introduce the notion of avalanche's fine structure and
compare the behavior of avalanches and waves of toppling. We show that
according to the degree of complexity in the fine structure of avalanches,
which is a direct consequence of the intricate superposition of the boundaries
of successive waves, avalanches fall into two different categories. We propose
scaling ans\"{a}tz for these avalanche types and verify them numerically. We
find that while the first type of avalanches has a simple scaling behavior, the
second (complex) type is characterized by an avalanche-size dependent scaling
exponent. This provides a framework within which one can understand the failure
of a consistent scaling behavior in this model.Comment: 10 page
Driven depinning of strongly disordered media and anisotropic mean-field limits
Extended systems driven through strong disorder are modeled generically using
coarse-grained degrees of freedom that interact elastically in the directions
parallel to the driving force and that slip along at least one of the
directions transverse to the motion. A realization of such a model is a
collection of elastic channels with transverse viscous couplings. In the
infinite range limit this model has a tricritical point separating a region
where the depinning is continuous, in the universality class of elastic
depinning, from a region where depinning is hysteretic. Many of the collective
transport models discussed in the literature are special cases of the generic
model.Comment: 4 pages, 2 figure
Sandpiles with height restrictions
We study stochastic sandpile models with a height restriction in one and two
dimensions. A site can topple if it has a height of two, as in Manna's model,
but, in contrast to previously studied sandpiles, here the height (or number of
particles per site), cannot exceed two. This yields a considerable
simplification over the unrestricted case, in which the number of states per
site is unbounded. Two toppling rules are considered: in one, the particles are
redistributed independently, while the other involves some cooperativity. We
study the fixed-energy system (no input or loss of particles) using cluster
approximations and extensive simulations, and find that it exhibits a
continuous phase transition to an absorbing state at a critical value zeta_c of
the particle density. The critical exponents agree with those of the
unrestricted Manna sandpile.Comment: 10 pages, 14 figure
Fluctuations and correlations in sandpile models
We perform numerical simulations of the sandpile model for non-vanishing
driving fields and dissipation rates . Unlike simulations
performed in the slow driving limit, the unique time scale present in our
system allows us to measure unambiguously response and correlation functions.
We discuss the dynamic scaling of the model and show that
fluctuation-dissipation relations are not obeyed in this system.Comment: 5 pages, latex, 4 postscript figure
N-Site approximations and CAM analysis for a stochastic sandpile
I develop n-site cluster approximations for a stochastic sandpile in one
dimension. A height restriction is imposed to limit the number of states: each
site can harbor at most two particles (height z_i \leq 2). (This yields a
considerable simplification over the unrestricted case, in which the number of
states per site is unbounded.) On the basis of results for n \leq 11 sites, I
estimate the critical particle density as zeta_c = 0.930(1), in good agreement
with simulations. A coherent anomaly analysis yields estimates for the order
parameter exponent [beta = 0.41(1)] and the relaxation time exponent (nu_||
\simeq 2.5).Comment: 12 pages, 7 figure