83,729 research outputs found
Effective field theory models for nonviolent information transfer from black holes
Transfer of quantum information from the interior of a black hole to its
atmosphere is described, in models based on effective field theory. This
description illustrates that such transfer need not be violent to the
semiclassical geometry or to infalling observers, and in particular can avoid
producing a singular horizon or "firewall." One can specifically quantify the
rate of information transfer, and show that a rate necessary to unitarize black
hole evaporation produces a relatively mild modification to the stress tensor
near the horizon. In an exterior description of the transfer, the new
interactions responsible for it are approximated by "effective sources" acting
on fields in the black hole atmosphere. If the necessary interactions couple to
general modes in the black hole atmosphere, one also finds a straightforward
mechanism for information transfer rates to increase when a black hole is
mined, avoiding paradoxical behavior. Correspondence limits are discussed, in
the presence of such new interactions, for both small black holes and large
ones; the near-horizon description of the latter is approximately that of
Rindler space.Comment: 29 pages with one figure. v2 fixed minor typo
Relations between three-point configuration space shear and convergence statistics
With the growing interest in and ability of using weak lensing studies to
probe the non-Gaussian properties of the matter density field, there is an
increasing need for the study of suitable statistical measures, e.g. shear
three-point statistics. In this paper we establish the relations between the
three-point configuration space shear and convergence statistics, which are an
important missing link between different weak lensing three-point statistics
and provide an alternative way of relating observation and theory. The method
we use also allows us to derive the relations between other two- and
three-point correlation functions. We show the consistency of the relations
obtained with already established results and demonstrate how they can be
evaluated numerically. As a direct application, we use these relations to
formulate the condition for E/B-mode decomposition of lensing three-point
statistics, which is the basis for constructing new three-point statistics
which allow for exact E/B-mode separation. Our work applies also to other
two-dimensional polarization fields such as that of the Cosmic Microwave
Background.Comment: 17 pages, 5 figures, submitted to A&
Vehicle currency
While in principle, international payments could be carried out using any currency or set of currencies, in practice, the U.S. dollar is predominant in international trade and financial flows. The dollar acts as a "vehicle currency" in the sense that agents in nondollar economies will generally engage in currency trade indirectly using the U.S. dollar rather than using direct bilateral trade among their own currencies. Indirect trade is desirable when there are transactions costs of exchange.> ; This paper constructs a dynamic general equilibrium model of a vehicle currency. We explore the nature of the efficiency gains arising from a vehicle currency, and show how this depends on the total number of currencies in existence, the size of the vehicle currency economy, and the monetary policy followed by the vehicle currency's government. We find that there can be very large welfare gains to a vehicle currency in a system of many independent currencies. But these gains are asymmetry weighted towards the residents of the vehicle currency country. The survival of a vehicle currency places natural limits on the monetary policy of the vehicle country.International trade ; Dollar, American ; Equilibrium (Economics) - Mathematical models ; Monetary policy
Vehicle Currency
While in principle, international payments could be carried out using any currency or set of currencies, in practice, the US dollar is predominant in international trade and financial flows. The dollar acts as a `vehicle currency' in the sense that agents in non-dollar economies will generally engage in currency trade indirectly using the US dollar rather than using direct bilateral trade among their own currencies. Indirect trade is desirable when there are transactions costs of exchange. This paper constructs a dynamic general equilibrium model of a vehicle currency. We explore the nature of the efficiency gains arising from a vehicle currency, and show how this depends on the total number of currencies in existence, the size of the vehicle currency economy, and the monetary policy followed by the vehicle currency's government. We find that there can be very large welfare gains to a vehicle currency in a system of many independent currencies. But these gains are asymmetrically weighted towards the residents of the vehicle currency country. The survival of a vehicle currency places natural limits on the monetary policy of the vehicle country.Vehicle currency; Transactions cost; Welfare gains
Scalable Coordinated Beamforming for Dense Wireless Cooperative Networks
To meet the ever growing demand for both high throughput and uniform coverage
in future wireless networks, dense network deployment will be ubiquitous, for
which co- operation among the access points is critical. Considering the
computational complexity of designing coordinated beamformers for dense
networks, low-complexity and suboptimal precoding strategies are often adopted.
However, it is not clear how much performance loss will be caused. To enable
optimal coordinated beamforming, in this paper, we propose a framework to
design a scalable beamforming algorithm based on the alternative direction
method of multipliers (ADMM) method. Specifically, we first propose to apply
the matrix stuffing technique to transform the original optimization problem to
an equivalent ADMM-compliant problem, which is much more efficient than the
widely-used modeling framework CVX. We will then propose to use the ADMM
algorithm, a.k.a. the operator splitting method, to solve the transformed
ADMM-compliant problem efficiently. In particular, the subproblems of the ADMM
algorithm at each iteration can be solved with closed-forms and in parallel.
Simulation results show that the proposed techniques can result in significant
computational efficiency compared to the state- of-the-art interior-point
solvers. Furthermore, the simulation results demonstrate that the optimal
coordinated beamforming can significantly improve the system performance
compared to sub-optimal zero forcing beamforming
Simulating quantum computation by contracting tensor networks
The treewidth of a graph is a useful combinatorial measure of how close the
graph is to a tree. We prove that a quantum circuit with gates whose
underlying graph has treewidth can be simulated deterministically in
time, which, in particular, is polynomial in if
. Among many implications, we show efficient simulations for
log-depth circuits whose gates apply to nearby qubits only, a natural
constraint satisfied by most physical implementations. We also show that
one-way quantum computation of Raussendorf and Briegel (Physical Review
Letters, 86:5188--5191, 2001), a universal quantum computation scheme with
promising physical implementations, can be efficiently simulated by a
randomized algorithm if its quantum resource is derived from a small-treewidth
graph.Comment: 7 figure
Low-lying states in even Gd isotopes studied with five-dimensional collective Hamiltonian based on covariant density functional theory
Five-dimensional collective Hamiltonian based on the covariant density
functional theory has been applied to study the the low-lying states of
even-even Gd isotopes. The shape evolution from Gd to
Gd is presented. The experimental energy spectra and intraband
transition probabilities for the Gd isotopes are reproduced by the
present calculations. The relative ratios in present calculations are
also compared with the available interacting boson model results and
experimental data. It is found that the occupations of neutron
orbital result in the well-deformed prolate shape, and are essential for Gd
isotopes.Comment: 11pages, 10figure
Nonlinear Cointegrating Regression under Weak Identification
An asymptotic theory is developed for a weakly identified cointegrating regression model in which the regressor is a nonlinear transformation of an integrated process. Weak identification arises from the presence of a loading coefficient for the nonlinear function that may be close to zero. In that case, standard nonlinear cointegrating limit theory does not provide good approximations to the finite sample distributions of nonlinear least squares estimators, resulting in potentially misleading inference. A new local limit theory is developed that approximates the finite sample distributions of the estimators uniformly well irrespective of the strength of the identification. An important technical component of this theory involves new results showing the uniform weak convergence of sample covariances involving nonlinear functions to mixed normal and stochastic integral limits. Based on these asymptotics, we construct confidence intervals for the loading coefficient and the nonlinear transformation parameter and show that these confidence intervals have correct asymptotic size. As in other cases of nonlinear estimation with integrated processes and unlike stationary process asymptotics, the properties of the nonlinear transformations affect the asymptotics and, in particular, give rise to parameter dependent rates of convergence and differences between the limit results for integrable and asymptotically homogeneous functions.Integrated process, Local time, Nonlinear regression, Uniform weak convergence, Weak identification
- …
