34,505 research outputs found
-pairing in correlated fermion models with spin-orbit coupling
We generalize the -pairing theory in Hubbard models to the ones with
spin-orbit coupling (SOC) and obtain the conditions under which the
-pairing operator is an eigenoperator of the Hamiltonian. The
pairing thus reveals an exact pseudospin symmetry in our spin-orbit
coupled Hubbard model, even though the spin symmetry is explicitly
broken by the SOC. In particular, these exact results can be applied to a
variety of Hubbard models with SOC on either bipartite or non-bipartite
lattices, whose noninteracting limit can be a Dirac semimetal, a Weyl
semimetal, a nodal-line semimetal, and a Chern insulator. The pairing
conditions also impose constraints on the band topology of these systems. We
then construct and focus on an interacting Dirac-semimetal model, which
exhibits an exact pseudospin symmetry with fine-tuned parameters. The stability
regions for the \emph{exact} -pairing ground states (with momentum
or ) and the \emph{exact} charge-density-wave ground states
are established. Between these distinct symmetry-breaking phases, there exists
an exactly solvable multicritical line. In the end, we discuss possible
experimental realizations of our results.Comment: v3: Title changed. Many details added, such as the identification of
an exact multicritical line between symmetry-breaking phase
Electron multipacting in long-bunch beam
The electron multipacting is an important factor for the development of the
electron cloud. There is a trailing-edge multipacting in the tail of the
long-bunch beam. It can be described by the energy gain and motion of
electrons. The analyses are in agreement with the simulation
Approaching quantum-limited amplification with large gain catalyzed by hybrid nonlinear media in cavity optomechanics
Amplifier is at the heart of almost all experiment carrying out the precise
measurement of a weak signal. An idea amplifier should have large gain and
minimum added noise simultaneously. Here, we consider the quantum measurement
properties of a hybrid nonlinear cavity with the Kerr and OPA nonlinear media
to amplify an input signal. We show that our hybrid-nonlinear-cavity amplifier
has large gain in the single-value stable regime and achieves quantum limit
unconditionally
Generalised Particle Filters with Gaussian Mixtures
Stochastic filtering is defined as the estimation of a partially observed
dynamical system. A massive scientific and computational effort is dedicated to
the development of numerical methods for approximating the solution of the
filtering problem. Approximating the solution of the filtering problem with
Gaussian mixtures has been a very popular method since the 1970s (see
[1],[2],[46],[49]). Despite nearly fifty years of development, the existing
work is based on the success of the numerical implementation and is not
theoretically justified. This paper fills this gap and contains a rigorous
analysis of a new Gaussian mixture approximation to the solution of the
filtering problem. We deduce the L^2-convergence rate for the approximating
system and show some numerical example to test the new algorithm.Comment: 28 pages, 3 figure
Uniqueness of constant scalar curvature K\"ahler metrics with cone singularities, I: Reductivity
The aim of this paper is to investigate uniqueness of conic constant scalar
curvature Kaehler (cscK) metrics, when the cone angle is less than . We
introduce a new H\"older space called \cC^{4,\a,\b} to study the regularities
of this fourth order elliptic equation, and prove that any \cC^{2,\a,\b}
conic cscK metric is indeed of class \cC^{4,\a,\b}. Finally, the reductivity
is established by a careful study of the conic Lichnerowicz operator.Comment: 37 pages, typos corrected, a new subsection added to explain a global
definition of C^{4,\a,\b} spac
K\"ahler non-collapsing, eigenvalues and the Calabi flow
We first proved a compactness theorem of the K\"ahler metrics, which confirms
a prediction of Chen. Then we prove several eigenvalue estimates along the
Calabi flow. Combining the compactness theorem and these eigenvalue estimates,
we generalize the method developed by Chen-Li-Wang to prove the small energy
theorems of the Calabi flow.Comment: 33 pages, final version, to appear in Journal of Functional Analysi
Numerical Solutions of Jump Diffusions with Markovian Switching
In this paper we consider the numerical solutions for a class of jump
diffusions with Markovian switching. After briefly reviewing necessary notions,
a new jump-adapted efficient algorithm based on the Euler scheme is constructed
for approximating the exact solution. Under some general conditions, it is
proved that the numerical solution through such scheme converge to the exact
solution. Moreover, the order of the error between the numerical solution and
the exact solution is also derived. Numerical experiments are carried out to
show the computational efficiency of the approximation.Comment: 21 pages, 1 figur
Precoded Turbo Equalizer for Power Line Communication Systems
Power line communication continues to draw increasing interest by promising a
wide range of applications including cost-free last-mile communication
solution. However, signal transmitted through the power lines deteriorates
badly due to the presence of severe inter-symbol interference (ISI) and harsh
random pulse noise. This work proposes a new precoded turbo equalization scheme
specifically designed for the PLC channels. By introducing useful precoding to
reshape ISI, optimizing maximum {\it a posteriori} (MAP) detection to address
the non-Gaussian pulse noise, and performing soft iterative decision
refinement, the new equalizer demonstrates a gain significantly better than the
existing turbo equalizers
From rules to runs: A dynamic epistemic take on imperfect information games
In the literature of game theory, the information sets of extensive form
games have different interpretations, which may lead to confusions and
paradoxical cases. We argue that the problem lies in the mix-up of two
interpretations of the extensive form game structures: game rules or game runs
which do not always coincide. In this paper, we try to separate and connect
these two views by proposing a dynamic epistemic framework in which we can
compute the runs step by step from the game rules plus the given assumptions of
the players. We propose a modal logic to describe players' knowledge and its
change during the plays, and provide a complete axiomatization. We also show
that, under certain conditions, the mix-up of the rules and the runs is not
harmful due to the structural similarity of the two.Comment: draft of a paper accepted by Studies in Logic (published by Sun
Yat-Sen University
Analog Turbo Codes: Turning Chaos to Reliability
Analog error correction codes, by relaxing the source space and the codeword
space from discrete fields to continuous fields, present a generalization of
digital codes. While linear codes are sufficient for digital codes, they are
not for analog codes, and hence nonlinear mappings must be employed to fully
harness the power of analog codes. This paper demonstrates new ways of building
effective (nonlinear) analog codes from a special class of nonlinear,
fast-diverging functions known as the chaotic functions. It is shown that the
"butterfly effect" of the chaotic functions matches elegantly with the distance
expansion condition required for error correction, and that the useful idea in
digital turbo codes can be exploited to construct efficient turbo-like chaotic
analog codes. Simulations show that the new analog codes can perform on par
with, or better than, their digital counter-parts when transmitting analog
sources.Comment: 46th Annual Conference on Computer Sciences and Information Systems
(CISS 2012), 2012, 5 pages, 5 figur
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