4,765 research outputs found
Vertex Operator Algebra Analogue of Embedding into
Let and be the simple vertex operator
algebras associated to untwisted affine Lie algebra and with level 1 respectively. In
the 1980s by I. Frenkel, Lepowsky and Meurman as one of the many important
preliminary steps toward their construction of the moonshine module vertex
operator algebra, they use roots lattice showing that can embed
into as a vertex operator subalgebra(\cite{5, 6, 8}). Their
construct is a base of vertex operator theory.
But the embedding they gave using the fact is isomorphic
to its root lattice vertex operator algebra . In this paper, we give an
explicitly construction of the embedding and show that as an -module, is isomorphic to the extension of
by its simple module . It may be convenient to
be used for conformal field theory.Comment: The abstrat and section 1 are modified. We give more informations
about the embeddin
Cluster algebra structure on the finite dimensional representations of for =2
In this paper, we prove one case of the conjecture given by Hernandez and
Leclerc\cite{HL0}. Specifically, we give a cluster algebra structure on the
Grothendieck ring of a full subcategory of the finite dimensional
representations of a simply-laced quantum affine algebra U_q(\widehat{\g}).
In the procedure, we also give a specific description of compatible subsets of
type . As a conclusion, for every exchange relation of cluster algebra
there exists a exact sequence of the full subcategory corresponding to it.Comment: 58 pages, 2 figures. Correct some typoes and add a new example. arXiv
admin note: text overlap with arXiv:0903.1452 by other author
Embedded connectivity of recursive networks
Let be an -dimensional recursive network. The -embedded
connectivity (resp. edge-connectivity ) of is
the minimum number of vertices (resp. edges) whose removal results in
disconnected and each vertex is contained in an -dimensional subnetwork
. This paper determines and for the hypercube and
the star graph , and for the bubble-sort network
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings
We consider the problem of retrieving and ranking items in an eCommerce
catalog, often called SKUs, in order of relevance to a user-issued query. The
input data for the ranking are the texts of the queries and textual fields of
the SKUs indexed in the catalog. We review the ways in which this problem both
resembles and differs from the problems of IR in the context of web search. The
differences between the product-search problem and the IR problem of web search
necessitate a different approach in terms of both models and datasets. We first
review the recent state-of-the-art models for web search IR, distinguishing
between two distinct types of model which we call the distributed type and the
local-interaction type. The different types of relevance models developed for
IR have complementary advantages and disadvantages when applied to eCommerce
product search. Further, we explain why the conventional methods for dataset
construction employed in the IR literature fail to produce data which suffices
for training or evaluation of models for eCommerce product search. We explain
how our own approach, applying task modeling techniques to the click-through
logs of an eCommerce site, enables the construction of a large-scale dataset
for training and robust benchmarking of relevance models. Our experiments
consist of applying several of the models from the IR literature to our own
dataset. Empirically, we have established that, when applied to our dataset,
certain models of local-interaction type reduce ranking errors by one-third
compared to the baseline tf-idf. Applied to our dataset, the distributed models
fail to outperform the baseline. As a basis for a deployed system, the
distributed models have several advantages, computationally, over the
local-interaction models. This motivates an ongoing program of work, which we
outline at the conclusion of the paper.Comment: Accepted to appear at the SIGIR 2018 workshop on eCommerc
Quantum cluster algebra structure on the finite dimensional representations of
In this paper, we give a quantum cluster algebra structure on the deformed
Grothendieck ring of \CC_{n}, where \CC_{n} is a full subcategory of finite
dimensional representations of defined in section II.Comment: 11pages, no figure
On small set of one-way LOCC indistinguishability of maximally entangled states
In this paper, we study the one-way local operations and classical
communication (LOCC) problem. In with
, we construct a set of one-way LOCC
indistinguishable maximally entangled states which are generalized Bell states.
Moreover, we show that there are four maximally entangled states which cannot
be perfectly distinguished by one-way LOCC measurements for any dimension
.Comment: 10 pages.Very recently, we became aware of related work \cite{Zhang2}
in which the same states in
is proved to be one-way LOCC
indistinguishable. arXiv admin note: text overlap with arXiv:1310.4220 by
other autho
A Vertex Algebra Commutant for the -System and Howe pairs
Analogue to commutants in the theory of associative algebras, one can
construct a new subalgebra of vertex algebra known as a vertex algebra
commutant. In this paper, for the adjoint representation of Lie algebra
sl(2,\C), we describe a commutant of - System by giving
its generators, moreover, we get a new Howe pair of vertex algebras.Comment: 15 pages, No figures. This is our first paper of series on this topi
The radio environment of the 21 Centimeter Array: RFI detection and mitigation
Detection and mitigation of radio frequency interference (RFI) is the first
and also the key step for data processing in radio observations, especially for
ongoing low frequency radio experiments towards the detection of the cosmic
dawn and epoch of reionization (EoR). In this paper we demonstrate the
technique and efficiency of RFI identification and mitigation for the 21
Centimeter Array (21CMA), a radio interferometer dedicated to the statistical
measurement of EoR. For terrestrial, man-made RFI, we concentrate mainly on a
statistical approach by identifying and then excising non-Gaussian signatures,
in the sense that the extremely weak cosmic signal is actually buried under
thermal and therefore Gaussian noise. We also introduce the so-called
visibility correlation coefficient instead of conventional visibility, which
allows a further suppression of rapidly time-varying RFI. Finally, we briefly
discuss removals of the sky RFI, the leakage of sidelobes from off-field strong
radio sources with time-invariant power and a featureless spectrum. It turns
out that state of the art technique should allow us to detect and mitigate RFI
to a satisfactory level in present low frequency interferometer observations
such as those acquired with the 21CMA, and the accuracy and efficiency can be
greatly improved with the employment of low-cost, high-speed computing
facilities for data acquisition and processing.Comment: 18 pages, 14 figure
Constructing unextendible product bases from the old ones
We studied the construction problem of the unextendible product basis (UPB).
We mainly give a method to construct a UPB of a quantum system through the UPBs
of its subsystem. Using this method and the UPBs which are known for us, we
construct different kinds of UPBs in general bipartite quantum system. Then we
use these UPBs to construct a family of UPBs in multipartite quantum system.
The UPBs can be used to construct the bound entangled states with different
ranks.Comment: 6 pages, 1 figure
The local distinguishability of any three generalized Bell states
We study the problem of distinguishing maximally entangled quantum states by
using local operations and classical communication (LOCC). A question of
fundamental interest is whether any three maximally entangled states in
are distinguishable by LOCC. In
this paper, we restrict ourselves to consider the generalized Bell states. And
we prove that any three generalized Bell states in
are locally distinguishable.Comment: 11 pages, 1 figure, accepted by Quantum Information Processin
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