1,148 research outputs found
Fast Escaping Sets of meromorphic functions
In this paper, we give a definition of Eremenko's point of a meromorphic
function with infinitely many poles and a condition for its existence in narrow
annuli in terms of a covering theorem of annulus.Comment: some further work will be don
A Fast Quantum-safe Asymmetric Cryptosystem Using Extra Superincreasing Sequences
This paper gives the definitions of an extra superincreasing sequence and an
anomalous subset sum, and proposes a fast quantum-safe asymmetric cryptosystem
called JUOAN2. The new cryptosystem is based on an additive multivariate
permutation problem (AMPP) and an anomalous subset sum problem (ASSP) which
parallel a multivariate polynomial problem and a shortest vector problem
respectively, and composed of a key generator, an encryption algorithm, and a
decryption algorithm. The authors analyze the security of the new cryptosystem
against the Shamir minima accumulation point attack and the LLL lattice basis
reduction attack, and prove it to be semantically secure (namely IND-CPA) on
the assumption that AMPP and ASSP have no subexponential time solutions.
Particularly, the analysis shows that the new cryptosystem has the potential to
be resistant to quantum computing attack, and is especially suitable to the
secret communication between two mobile terminals in maneuvering field
operations under any weather. At last, an example explaining the correctness of
the new cryptosystem is given.Comment: 8 Pages. arXiv admin note: text overlap with arXiv:1408.622
Lyapunov exponents and related concepts for entire functions
Let be an entire function and denote by be the spherical
derivative of and by the -th iterate of . For an open set
intersecting the Julia set , we consider how fast and tend to . We also study
the growth rate of the sequence for .Comment: 20 page
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Automatic emotion recognition is a challenging task. In this paper, we
present our effort for the audio-video based sub-challenge of the Emotion
Recognition in the Wild (EmotiW) 2018 challenge, which requires participants to
assign a single emotion label to the video clip from the six universal emotions
(Anger, Disgust, Fear, Happiness, Sad and Surprise) and Neutral. The proposed
multimodal emotion recognition system takes audio, video and text information
into account. Except for handcraft features, we also extract bottleneck
features from deep neutral networks (DNNs) via transfer learning. Both temporal
classifiers and non-temporal classifiers are evaluated to obtain the best
unimodal emotion classification result. Then possibilities are extracted and
passed into the Beam Search Fusion (BS-Fusion). We test our method in the
EmotiW 2018 challenge and we gain promising results. Compared with the baseline
system, there is a significant improvement. We achieve 60.34% accuracy on the
testing dataset, which is only 1.5% lower than the winner. It shows that our
method is very competitive.Comment: 9 pages, 11 figures and 4 Tables. EmotiW2018 challeng
Band modification in (Ga, Mn)As evidenced by new measurement scheme --- magnetic photoresistance circular dichroism
The expected features of diluted magnetic semiconductors still remain in
controversial issue, concerning whether or not s, p-d (f) exchange interactions
indeed modify the host semiconductor band structure. To solve this doubt, a new
scheme for measuring magneto-optical (MO) effect is developed, called magnetic
photoresistance circular dichroism (PR-MCD), which detects the differential
photoresistance of materials between two circularly polarized excitations. That
allows us to detect the MO effect induced only by interband transitions, and
provide unambiguous evidence that the host semiconductor band structure is
indeed modified by the strong exchange interactions. Our PR-MCD spectra also
disclose intrigue features which may come from strong coupling correlation
effect at very high manganese concentration limit
On the iterations and the argument distribution of meromorphic functions
This paper consists of tow parts. One is to study the existence of a point
in the intersection of Julia set and escaping set such that
is a singular direction if is a limit point of under
some growth condition of a meromorphic function. The other is to study the
connection between the Fatou set and singular direction. We prove that the
absent of singular direction deduces the non-existence of annuli in the Fatou
set.Comment: 28 page
Studies of Differences from the point of view of Nevanlinna Theory
This paper consists of three parts. First, we give so far the best condition
under which the shift invariance of the counting function, and of the
characteristic of a subharmonic function, holds. Second, a difference analogue
of logarithmic derivative of a -subharmonic function is established
allowing the case of hyper-order equal to one and minimal hyper-type, which
improves the condition of the hyper-order less than one. Finally, we make a
careful discussion of a well-known difference equation and give out the
possible forms of the equation under a growth condition for the solutions.Comment: 36 pages. To appear in the Transactions of the American Mathematical
Society: https://doi.org/10.1090/tran/806
Second main theorem with tropical hypersurfaces and defect relation
The tropical Nevanlinna theory is Nevanlinna theory for tropical functions or
maps over the max-plux semiring by using the approach of complex analysis. The
main purpose of this paper is to study the second main theorem with tropical
hypersurfaces into tropical projective spaces and give a defect relation which
can be regarded as a tropical version of the Shiffman's conjecture. On the one
hand, our second main theorem improves and extends the tropical Cartan's second
main theorem due to Korhonen and Tohge [Advances Math. 298(2016), 693-725]. The
growth of tropical holomorphic curve is also improved to
(rather than just
hyperorder strictly less than one) by obtaining an improvement of tropical
logarithmic derivative lemma. On the other hand, we obtain a new version of
tropical Nevanlinna's second main theorem which is different from the tropical
Nevanlinna's second main theorem obtained by Laine and Tohge [Proc. London
Math. Soc. 102(2011), 883-922]. The new version of the tropical Nevanlinna's
second main theorem implies an interesting defect relation that
holds for a nonconstant tropical meromorphic function
with and any
such that Comment: 33 page
Hierarchical equations of motion for impurity solver in dynamical mean-field theory
A nonperturbative quantum impurity solver is proposed based on a formally
exact hierarchical equations of motion (HEOM) formalism for open quantum
systems. It leads to quantitatively accurate evaluation of physical properties
of strongly correlated electronic systems, in the framework of dynamical
mean-field theory (DMFT). The HEOM method is also numerically convenient to
achieve the same level of accuracy as that using the state-of-the-art numerical
renormalization group impurity solver at finite temperatures. The practicality
of the novel HEOM+DMFT method is demonstrated by its applications to the
Hubbard models with Bethe and hypercubic lattice structures. We investigate the
metal-insulator transition phenomena, and address the effects of temperature on
the properties of strongly correlated lattice systems.Comment: 14 pages, 11 figures, updated version accepted to be published in PR
Estimating Number of Factors by Adjusted Eigenvalues Thresholding
Determining the number of common factors is an important and practical topic
in high dimensional factor models. The existing literatures are mainly based on
the eigenvalues of the covariance matrix. Due to the incomparability of the
eigenvalues of the covariance matrix caused by heterogeneous scales of observed
variables, it is very difficult to give an accurate relationship between these
eigenvalues and the number of common factors. To overcome this limitation, we
appeal to the correlation matrix and show surprisingly that the number of
eigenvalues greater than of population correlation matrix is the same as
the number of common factors under some mild conditions. To utilize such a
relationship, we study the random matrix theory based on the sample correlation
matrix in order to correct the biases in estimating the top eigenvalues and to
take into account of estimation errors in eigenvalue estimation. This leads us
to propose adjusted correlation thresholding (ACT) for determining the number
of common factors in high dimensional factor models, taking into account the
sampling variabilities and biases of top sample eigenvalues. We also establish
the optimality of the proposed methods in terms of minimal signal strength and
optimal threshold. Simulation studies lend further support to our proposed
method and show that our estimator outperforms other competing methods in most
of our testing cases.Comment: 35 pages; 4 figure
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