808 research outputs found
Robustness of Network of Networks with Interdependent and Interconnected links
Robustness of network of networks (NON) has been studied only for dependency
coupling (J.X. Gao et. al., Nature Physics, 2012) and only for connectivity
coupling (E.A. Leicht and R.M. D Souza, arxiv:0907.0894). The case of network
of n networks with both interdependent and interconnected links is more
complicated, and also more closely to real-life coupled network systems. Here
we develop a framework to study analytically and numerically the robustness of
this system. For the case of starlike network of n ER networks, we find that
the system undergoes from second order to first order phase transition as
coupling strength q increases. We find that increasing intra-connectivity links
or inter-connectivity links can increase the robustness of the system, while
the interdependency links decrease its robustness. Especially when q=1, we find
exact analytical solutions of the giant component and the first order
transition point. Understanding the robustness of network of networks with
interdependent and interconnected links is helpful to design resilient
infrastructures
Extrinsic models for the dielectric response of CaCu{3}Ti{4}O{12}
The large, temperature-independent, low-frequency dielectric constant
recently observed in single-crystal CaCu{3}Ti{4}O{12} is most plausibly
interpreted as arising from spatial inhomogenities of its local dielectric
response. Probable sources of inhomogeneity are the various domain boundaries
endemic in such materials: twin, Ca-ordering, and antiphase boundaries. The
material in and neighboring such boundaries can be insulating or conducting. We
construct a decision tree for the resulting six possible morphologies, and
derive or present expressions for the dielectric constant for models of each
morphology. We conclude that all six morphologies can yield dielectric behavior
consistent with observations and suggest further experiments to distinguish
among them.Comment: 9 pages, with 1 postscript figure embedded. Uses REVTEX and epsf
macros. Also available at
http://www.physics.rutgers.edu/~dhv/preprints/mc_ext/index.htm
Singlet-triplet splitting, correlation and entanglement of two electrons in quantum dot molecules
Starting with an accurate pseudopotential description of the single-particle
states, and following by configuration-interaction treatment of correlated
electrons in vertically coupled, self-assembled InAs/GaAs quantum
dot-molecules, we show how simpler, popularly-practiced approximations, depict
the basic physical characteristics including the singlet-triplet splitting,
degree of entanglement (DOE) and correlation. The mean-field-like
single-configuration approaches such as Hartree-Fock and local spin density,
lacking correlation, incorrectly identify the ground state symmetry and give
inaccurate values for the singlet-triplet splitting and the DOE. The Hubbard
model gives qualitatively correct results for the ground state symmetry and
singlet-triplet splitting, but produces significant errors in the DOE because
it ignores the fact that the strain is asymmetric even if the dots within a
molecule are identical. Finally, the Heisenberg model gives qualitatively
correct ground state symmetry and singlet-triplet splitting only for rather
large inter-dot separations, but it greatly overestimates the DOE as a
consequence of ignoring the electron double occupancy effect.Comment: 13 pages, 9 figures. To appear in Phys. Rev.
Percolation on interacting networks with feedback-dependency links
When real networks are considered, coupled networks with connectivity and feedback-dependency links are not rare but more general. Here we develop a mathematical framework and study numerically and analytically percolation of interacting networks with feedback-dependency links. We find that when nodes of between networks are lowly connected, the system undergoes from second order transition through hybrid order transition to first order transition as coupling strength increases. And, as average degree of each inter-network increases, first order region becomes smaller and second-order region becomes larger but hybrid order region almost keep constant. Especially, the results implies that average degree \bar{k} between intra-networks has a little influence on robustness of system for weak coupling strength, but for strong coupling strength corresponding to first order transition system become robust as \bar{k} increases. However, when average degree k of inter-network is increased, the system become robust for all coupling strength. Additionally, when nodes of between networks are highly connected, the hybrid order region disappears and the system first order region becomes larger and secondorder region becomes smaller. Moreover, we find that the existence of feedback dependency links between interconnecting networks makes the system extremely vulnerable by comparing non-feedback condition for the same parameters.First author draf
Does"good government"draw foreign capital ? Explaining China's exceptional foreign direct investment inflow
China is now the world's largest destination of foreign direct investment (FDI), despite assessments highlighting its institutional deficiencies. But this FDI inflow corresponds closely to predicted FDI flows into China from a model that predicts FDI inflow based on government quality indicators and controls and is estimated across a sample of other weak-institution countries. The only real discrepancy is that, if government quality is measured by constraints on executive power, China receives somewhat more FDI than the model predicts. This might reflect an underestimation of the strength of these constraints in China, a unique institutional setting for FDI operations, FDI based on expected future institutional improvements, or a unique Chinese model of development. The authors conclude that Ockham's razor disfavors the last. They also note that FDI may be elevated because Chinese institutions protect foreign firms better than domestic ones.Foreign Direct Investment,Economic Theory&Research,Legal Products,Investment and Investment Climate,Parliamentary Government
Exact results of the limited penetrable horizontal visibility graph associated to random time series and its application
The limited penetrable horizontal visibility algorithm is a new time analysis
tool and is a further development of the horizontal visibility algorithm. We
present some exact results on the topological properties of the limited
penetrable horizontal visibility graph associated with random series. We show
that the random series maps on a limited penetrable horizontal visibility graph
with exponential degree distribution ,
independent of the probability distribution from which the series was
generated. We deduce the exact expressions of the mean degree and the
clustering coefficient and demonstrate the long distance visibility property.
Numerical simulations confirm the accuracy of our theoretical results. We then
examine several deterministic chaotic series (a logistic map, the
Hnon map, the Lorentz system, and an energy price chaotic system)
and a real crude oil price series to test our results. The empirical results
show that the limited penetrable horizontal visibility algorithm is direct, has
a low computational cost when discriminating chaos from uncorrelated
randomness, and is able to measure the global evolution characteristics of the
real time series.Comment: 23 pages, 12 figure
Scaling Dark Energy in a Five-Dimensional Bouncing Cosmological Model
We consider a 5-dimensional Ricci flat bouncing cosmological model in which
the 4-dimensional induced matter contains two components at late times - the
cold dark matter (CDM)+baryons and dark energy. We find that the arbitrary
function contained in the solution plays a similar role as the potential
in quintessence and phantom dark energy models. To resolve the
coincidence problem, it is generally believed that there is a scaling stage in
the evolution of the universe. We analyze the condition for this stage and show
that a hyperbolic form of the function can work well in this property.
We find that during the scaling stage (before ), the dark energy
behaves like (but not identical to) a cold dark matter with an adiabatic sound
speed and . After , the
pressure of dark energy becomes negative. The transition from deceleration to
acceleration happens at which, as well as other predictions
of the model, agree with current observations.Comment: 13 pages, 1 table, 3 figures, published version, references adde
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