4,462 research outputs found
Exponential asymptotics for solitons in PT-symmetric periodic potentials
Solitons in one-dimensional parity-time (PT)-symmetric periodic potentials
are studied using exponential asymptotics. The new feature of this exponential
asymptotics is that, unlike conservative periodic potentials, the inner and
outer integral equations arising in this analysis are both coupled systems due
to complex-valued solitons. Solving these coupled systems, we show that two
soliton families bifurcate out from each Bloch-band edge for either
self-focusing or self-defocusing nonlinearity. An asymptotic expression for the
eigenvalues associated with the linear stability of these soliton families is
also derived. This formula shows that one of these two soliton families near
band edges is always unstable, while the other can be stable. In addition,
infinite families of PT-symmetric multi-soliton bound states are constructed by
matching the exponentially small tails from two neighboring solitons. These
analytical predictions are compared with numerics. Overall agreements are
observed, and minor differences explained.Comment: 17 pages, 4 figure
Light propagation in periodically modulated complex waveguides
Light propagation in optical waveguides with periodically modulated index of
refraction and alternating gain and loss are investigated for linear and
nonlinear systems. Based on a multiscale perturbation analysis, it is shown
that for many non-parity-time () symmetric waveguides, their
linear spectrum is partially complex, thus light exponentially grows or decays
upon propagation, and this growth or delay is not altered by nonlinearity.
However, several classes of non--symmetric waveguides are also
identified to possess all-real linear spectrum. In the nonlinear regime
longitudinally periodic and transversely quasi-localized modes are found for
-symmetric waveguides both above and below phase transition.
These nonlinear modes are stable under evolution and can develop from initially
weak initial conditions.Comment: 6 pages, 4 figure
Nonlinear wave dynamics near phase transition in -symmetric localized potentials
Nonlinear wave propagation in parity-time () symmetric
localized potentials is investigated analytically near a phase-transition point
where a pair of real eigenvalues of the potential coalesce and bifurcate into
the complex plane. Necessary conditions for phase transition to occur are
derived based on a generalization of the Krein signature. Using multi-scale
perturbation analysis, a reduced nonlinear ODE model is derived for the
amplitude of localized solutions near phase transition. Above phase transition,
this ODE model predicts a family of stable solitons not bifurcating from linear
(infinitesimal) modes under a certain sign of nonlinearity. In addition, it
predicts periodically-oscillating nonlinear modes away from solitons. Under the
opposite sign of nonlinearity, it predicts unbounded growth of solutions. Below
phase transition, solution dynamics is predicted as well. All analytical
results are compared to direct computations of the full system and good
agreement is observed.Comment: 11 pages, 7 figure
Nonlinear light behaviors near phase transition in non-parity-time-symmetric complex waveguides
Many classes of non-parity-time (PT) symmetric waveguides with arbitrary gain
and loss distributions still possess all-real linear spectrum or exhibit phase
transition. In this article, nonlinear light behaviors in these complex
waveguides are probed analytically near a phase transition. Using multi-scale
perturbation methods, a nonlinear ordinary differential equation (ODE) is
derived for the light's amplitude evolution. This ODE predicts that the first
class of these non-PT-symmetric waveguides support continuous families of
solitons and robust amplitude-oscillating solutions both above and below phase
transition, in close analogy with PT-symmetric systems. For the other classes
of waveguides, the light's intensity always amplifies under the effect of
nonlinearity even if the waveguide is below phase transition. These analytical
predictions are confirmed by direct computations of the full system.Comment: 5 pages, 4 figure
Bifurcation of soliton families from linear modes in non-PT-symmetric complex potentials
Continuous families of solitons in generalized nonlinear Sch\"odinger
equations with non-PT-symmetric complex potentials are studied analytically.
Under a weak assumption, it is shown that stationary equations for solitons
admit a constant of motion if and only if the complex potential is of a special
form , where is an arbitrary real function. Using this
constant of motion, the second-order complex soliton equation is reduced to a
new second-order real equation for the amplitude of the soliton. From this real
soliton equation, a novel perturbation technique is employed to show that
continuous families of solitons always bifurcate out from linear discrete modes
in these non-PT-symmetric complex potentials. All analytical results are
corroborated by numerical examples.Comment: 23 pages, 4 figure
Stability of soliton families in nonlinear Schroedinger equations with non-parity-time-symmetric complex potentials
Stability of soliton families in one-dimensional nonlinear Schroedinger
equations with non-parity-time (PT)-symmetric complex potentials is
investigated numerically. It is shown that these solitons can be linearly
stable in a wide range of parameter values both below and above phase
transition. In addition, a pseudo-Hamiltonian-Hopf bifurcation is revealed,
where pairs of purely-imaginary eigenvalues in the linear-stability spectra of
solitons collide and bifurcate off the imaginary axis, creating oscillatory
instability, which resembles Hamiltonian-Hopf bifurcations of solitons in
Hamiltonian systems even though the present system is dissipative and
non-Hamiltonian. The most important numerical finding is that, eigenvalues of
linear-stability operators of these solitons appear in quartets , similar to conservative systems and
PT-symmetric systems. This quartet eigenvalue symmetry is very surprising for
non-PT-symmetric systems, and it has far-reaching consequences on the stability
behaviors of solitons.Comment: 9 pages, 6 figure
All-real spectra in optical systems with arbitrary gain and loss distributions
A method for constructing optical potentials with an arbitrary distribution
of gain and loss and completely real spectrum is presented. For each arbitrary
distribution of gain and loss, several classes of refractive-index profiles
with freely tunable parameters are obtained such that the resulting complex
potentials, although being non-parity-time-symmetric in general, still feature
all-real spectra for a wide range of tuning parameters. When these refractive
indices are tuned below certain thresholds, phase transition can occur, where
complex-conjugate pairs of eigenvalues appear in the spectrum. These
non-parity-time-symmetric complex potentials generalize the concept of
parity-time-symmetric potentials to allow for more flexible gain and loss
distributions while still maintaining all-real spectra and the phenomenon of
phase transition.Comment: 5 pages, 3 figure
Stability analysis for solitons in PT-symmetric optical lattices
Stability of solitons in parity-time (PT)-symmetric periodic potentials
(optical lattices) is analyzed in both one- and two-dimensional systems. First
we show analytically that when the strength of the gain-loss component in the
PT lattice rises above a certain threshold (phase-transition point), an
infinite number of linear Bloch bands turn complex simultaneously. Second, we
show that while stable families of solitons can exist in PT lattices,
increasing the gain-loss component has an overall destabilizing effect on
soliton propagation. Specifically, when the gain-loss component increases, the
parameter range of stable solitons shrinks as new regions of instability
appear. Thirdly, we investigate the nonlinear evolution of unstable PT solitons
under perturbations, and show that the energy of perturbed solitons can grow
unbounded even though the PT lattice is below the phase transition point.Comment: 11 pages, 10 figures, 1 tabl
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
We propose JECL, a method for clustering image-caption pairs by training
parallel encoders with regularized clustering and alignment objectives,
simultaneously learning both representations and cluster assignments. These
image-caption pairs arise frequently in high-value applications where
structured training data is expensive to produce, but free-text descriptions
are common. JECL trains by minimizing the Kullback-Leibler divergence between
the distribution of the images and text to that of a combined joint target
distribution and optimizing the Jensen-Shannon divergence between the soft
cluster assignments of the images and text. Regularizers are also applied to
JECL to prevent trivial solutions. Experiments show that JECL outperforms both
single-view and multi-view methods on large benchmark image-caption datasets,
and is remarkably robust to missing captions and varying data sizes
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
A deep learning model is applied for predicting block-level parking occupancy
in real time. The model leverages Graph-Convolutional Neural Networks (GCNN) to
extract the spatial relations of traffic flow in large-scale networks, and
utilizes Recurrent Neural Networks (RNN) with Long-Short Term Memory (LSTM) to
capture the temporal features. In addition, the model is capable of taking
multiple heterogeneously structured traffic data sources as input, such as
parking meter transactions, traffic speed, and weather conditions. The model
performance is evaluated through a case study in Pittsburgh downtown area. The
proposed model outperforms other baseline methods including multi-layer LSTM
and Lasso with an average testing MAPE of 10.6\% when predicting block-level
parking occupancies 30 minutes in advance. The case study also shows that, in
generally, the prediction model works better for business areas than for
recreational locations. We found that incorporating traffic speed and weather
information can significantly improve the prediction performance. Weather data
is particularly useful for improving predicting accuracy in recreational areas
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