1,824 research outputs found
Strong law of large numbers for supercritical superprocesses under second moment condition
Suppose that is a supercritical superprocess on a locally
compact separable metric space . Suppose that the spatial motion of
is a Hunt process satisfying certain conditions and that the branching
mechanism is of the form where , and is a kernel from to
satisfying Put
. Let be the largest
eigenvalue of the generator of , and and be
the eigenfunctions of and (the dural of ) respectively
associated with . Under some conditions on the spatial motion and
the -transformed semigroup of , we prove that for a large class of
suitable functions , we have for any finite initial measure on with compact support, where
is the martingale limit defined by
. Moreover, the
exceptional set in the above limit does not depend on the initial measure
and the function
Localization and Mobility Gap in Topological Anderson Insulator
It has been proposed that disorder may lead to a new type of topological
insulator, called topological Anderson insulator (TAI). Here we examine the
physical origin of this phenomenon. We calculate the topological invariants and
density of states of disordered model in a super-cell of 2-dimensional
HgTe/CdTe quantum well. The topologically non-trivial phase is triggered by a
band touching as the disorder strength increases. The TAI is protected by a
mobility gap, in contrast to the band gap in conventional quantum spin Hall
systems. The mobility gap in the TAI consists of a cluster of non-trivial
subgaps separated by almost flat and localized bands.Comment: 8 pages, 7 figure
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
The ranked feature list given by the Relief algorithm. Within the list, a feature with a smaller index indicates that it is more important for aptamer-protein interacting pair prediction. Such a list of ranked features are used to establish the optimal feature set in the IFS procedure. (XLS 56.5 kb
Continuum field theory of 3D topological orders with emergent fermions and braiding statistics
Universal topological data of topologically ordered phases can be captured by
topological quantum field theory in continuous space time by taking the limit
of low energies and long wavelengths. While previous continuum
field-theoretical studies of topological orders in D real space focus on
either self-statistics, braiding statistics, shrinking rules, fusion rules or
quantum dimensions, it is yet to systematically put all topological data
together in a unified continuum field-theoretical framework. Here, we construct
the topological field theory with twisted terms (e.g., and )
as well as a -matrix term, in order to simultaneously explore all such
topological data and reach anomaly-free topological orders. Following the
spirit of the famous -matrix Chern-Simons theory of D topological orders,
we present general formulas and systematically show how the -matrix
term confines topological excitations, and how self-statistics of particles is
transmuted between bosonic one and fermionic one. In order to reach
anomaly-free topological orders, we explore, within the present continuum
field-theoretical framework, how the principle of gauge invariance
fundamentally influences possible realizations of topological data. More
concretely, we present the topological actions of (i) particle-loop braidings
with emergent fermions, (ii) multiloop braidings with emergent fermions, and
(iii) Borromean-Rings braidings with emergent fermions, and calculate their
universal topological data. Together with the previous efforts, our work paves
the way toward a more systematic and complete continuum field-theoretical
analysis of exotic topological properties of D topological orders. Several
interesting future directions are also discussed
Non-Abelian Fusion, Shrinking and Quantum Dimensions of Abelian Gauge Fluxes
Braiding and fusion rules of topological excitations are indispensable
topological invariants in topological quantum computation and topological
orders. While excitations in 2D are always particle-like anyons, those in 3D
incorporate not only particles but also loops -- spatially nonlocal objects --
making it novel and challenging to study topological invariants in higher
dimensions. While 2D fusion rules have been well understood from bulk
Chern-Simons field theory and edge conformal field theory, it is yet to be
thoroughly explored for 3D fusion rules from higher dimensional bulk
topological field theory. Here, we perform a field-theoretical study on (i) how
loops that carry Abelian gauge fluxes fuse and (ii) how loops are shrunk into
particles in the path integral, which generates fusion rules, loop-shrinking
rules, and descendent invariants, e.g., quantum dimensions. We first assign a
gauge-invariant Wilson operator to each excitation and determine the number of
distinct excitations through equivalence classes of Wilson operators. Then, we
adiabatically shift two Wilson operators together to observe how they fuse and
are split in the path integral; despite the Abelian nature of the gauge fluxes
carried by loops, their fusions may be of non-Abelian nature. Meanwhile, we
adiabatically deform world-sheets of unknotted loops into world-lines and
examine the shrinking outcomes; we find that the resulting loop-shrinking rules
are algebraically consistent to fusion rules. Interestingly, fusing a pair of
loop and anti-loop may generate multiple vacua, but fusing a pair of anyon and
anti-anyon in 2D has one vacuum only. By establishing a field-theoretical
ground for fusion and shrinking in 3D, this work leaves intriguing directions,
e.g., symmetry enrichment, quantum gates, and physics of braided monoidal
2-category of 2-group.Comment: Title adjusted. Abstract, Intro and Discussions revised. about 30
pages, 5 figures. 9 table
IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection
Change detection (CD) aims to detect change regions within an image pair
captured at different times, playing a significant role for diverse real-world
applications. Nevertheless, most of existing works focus on designing advanced
network architectures to map the feature difference to the final change map
while ignoring the influence of the quality of the feature difference. In this
paper, we study the CD from a new perspective, i.e., how to optimize the
feature difference to highlight changes and suppress unchanged regions, and
propose a novel module denoted as iterative difference-enhanced transformers
(IDET). IDET contains three transformers: two transformers for extracting the
long-range information of the two images and one transformer for enhancing the
feature difference. In contrast to the previous transformers, the third
transformer takes the outputs of the first two transformers to guide the
enhancement of the feature difference iteratively. To achieve more effective
refinement, we further propose the multi-scale IDET-based change detection that
uses multi-scale representations of the images for multiple feature difference
refinements and proposes a coarse-to-fine fusion strategy to combine all
refinements. Our final CD method outperforms seven state-of-the-art methods on
six large-scale datasets under diverse application scenarios, which
demonstrates the importance of feature difference enhancements and the
effectiveness of IDET.Comment: conferenc
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