September 2018 arXiv papers — page 15
Showing 1,401–1,500 of 11,666 papers
M. Holst, M. Licht
We present a new technique to apply finite element methods to partial differential equations over curved domains. A change of variables along a coordinate transformation satisfying only low regularity assumptions can translate a Poisson problem over a curved physical domain to a Poisson problem over a polyhedral parametric domain. This greatly simplifies bot
Investigation of deep levels in CdZnTeSe crystal and their effect on the internal electric field of CdZnTeSe gamma-ray detector
physics.ins-detM Rejhon, V Dědič, L Beran, U N Roy
We present a study of deep levels in CdZnTeSe radiation-detection materials. The approach relies on electrical methods that combine time and temperature evolution of the electric field and electric current after switching on the bias voltage. We also applied two optical methods to study the deep levels. The first method utilizes the temperature and temporal
Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury
Multi-view frame reconstruction is an important problem particularly when multiple frames are missing and past and future frames within the camera are far apart from the missing ones. Realistic coherent frames can still be reconstructed using corresponding frames from other overlapping cameras. We propose an adversarial approach to learn the spatio-temporal
Jaehoon Lee
We study the Λ-module structure of the Mordell-Weil, Selmer, and Tate-Shafarevich groups of an abelian variety over \mathbb{Z}_p-extensions.
B. Santhosh Kumar P. Manimuthu N. Praveen Shanker, C. Venkateswaran
Half metallic ferromagnetic compounds (HMF) are intensively explored for their potential in spintronics application. According to theoretical studies, HMF are those materials where the conduction mechanism is due to one type of spin state, either up or down. Band theory strongly predicts that Praseodymium (Pr) based transition metal compound (TMC) is HMF who
M. Apostol
The effect of the electromagnetic radiation on the spontaneous charge emission from heavy atomic nuclei is estimated in a model which may be relevant for proton emission and alpha-particle decay in laser fields. Arguments are given that the electronic cloud in heavy atoms screens appreciably the electric field acting on the nucleus and the nucleus "sees&
Observation of band crossings protected by nonsymmorphic symmetry in the layered ternary telluride Ta3SiTe6
cond-mat.mes-hallTakafumi Sato, Zhiwei Wang, Kosuke Nakayama, Seigo Souma
We have performed angle-resolved photoemission spectroscopy of layered ternary telluride Ta3SiTe6 which is predicted to host nodal lines associated with nonsymmorphic crystal symmetry. We found that the energy bands in the valence-band region show Dirac-like dispersions which present a band degeneracy at the R point of the bulk orthorhombic Brillouin zone. T
Andrew N. O'Brien, Ray P. Norris, Nick F. H. Tothill, Miroslav D. Filipović
We have completed a deep radio continuum survey covering 86 square degrees of the Spitzer-South Pole Telescope deep field to test whether bent-tail galaxies are associated with galaxy clusters. We present a new catalogue of 22 bent-tail galaxies and a further 24 candidate bent-tail galaxies. Surprisingly, of the 8 bent-tail galaxies with photometric redshift
Linxiao Niu, Xinxin Guo, Yuan Zhan, Xuzong Chen
Optical absorption imaging is a basic detection technique for obtaining information from matter waves, in which the absorption signal can be obtained by comparing the recorded detection light field with the light field in the presence of absorption, thereby giving the spatial distribution of the atoms. The noise in detection arises mainly from differences be
Zihong Chen
The goal of this paper is to study the subspace of stability condition $Σ_{\mathcal{E}}\subset \mathrm{Stab}(X)$ associated to an exceptional collection $\mathcal{E}$ on a projective variety $X$. Following Emanuele Macrì's approach, we show a certain correspondence between the homotopy class of continuous loops in $Σ_{\mathcal{E}}$ and words of the braid
Competing rhombohedral and monoclinic crystal structures in Mn$Pn_2Ch_4$ compounds: an {\em ab-initio} study
cond-mat.mtrl-sciS. V. Eremeev, M. M. Otrokov, E. V. Chulkov
Based on the relativistic spin-polarized density functional theory calculations we investigate the crystal structure, electronic and magnetic properties of a family MnPn2Ch4 compounds, where pnictogen metal atoms (Pn) are Sb and Bi; chalcogens (Ch) are Se, Te. We show that in the series the compounds of this family with heavier elements prefer to adopt rhomb
Ravindra Bapat
The problems of maximizing the spectral radius and the number of spanning trees in a class of bipartite graphs with certain degree constraints are considered. In both the problems, the optimal graph is conjectured to be a Ferrers graph. Known results towards the resolution of the conjectures are described. We give yet another proof of a formula due to Ehrenb
An oracle-based projection and rescaling algorithm for linear semi-infinite feasibility problems and its application to SDP and SOCP
math.OCMasakazu Muramatsu, Tomonari Kitahara, Bruno F. Lourenço, Takayuki Okuno
We point out that Chubanov's oracle-based algorithm for linear programming [5] can be applied almost as it is to linear semi-infinite programming (LSIP). In this note, we describe the details and prove the polynomial complexity of the algorithm based on the real computation model proposed by Blum, Shub and Smale (the BSS model) which is more suitable for
Marcelo A. Pires, Sílvio M. Duarte Queirós
How diffusion impacts on ecological dynamics under the Allee effect and spatial constraints? That is the question we address. Employing a microscopic minimal model in a metapopulation (without imposing nonlinear birth and death rates) we evince --- both numerically and analitically --- the emergence of an optimal diffusion that maximises the survival probabi
Teresa Nicole Brooks
This paper explores using a Long short-term memory (LSTM) based sequence autoencoder to learn interesting features for detecting surveillance aircraft using ADS-B flight data. An aircraft periodically broadcasts ADS-B (Automatic Dependent Surveillance - Broadcast) data to ground receivers. The ability of LSTM networks to model varying length time series data
Khalid Bou-Rabee, Tasho Kaletha, Daniel Studenmund
Fixing a subgroup $Γ$ in a group $G$, the full commensurability growth function assigns to each $n$ the cardinality of the set of subgroups $Δ$ of $G$ with $[Γ: Γ\cap Δ][Δ: Γ\cap Δ] \leq n$. For pairs $Γ\leq G$, where $G$ is a Chevalley group scheme defined over $\mathbb{Z}$ and $Γ$ is an arithmetic lattice in $G$, we give precise estimates for the full comm
Vladimir Nekrasov, Chunhua Shen, Ian Reid
Over the past years, computer vision community has contributed to enormous progress in semantic image segmentation, a per-pixel classification task, crucial for dense scene understanding and rapidly becoming vital in lots of real-world applications, including driverless cars and medical imaging. Most recent models are now reaching previously unthinkable numb
Thermal Modeling, Heat Mitigation, and Radiative Cooling for Double-Clad Fiber Amplifiers
physics.app-phEsmaeil Mobini, Mostafa Peysokhan, Behnam Abaie, Arash Mafi
We report a detailed formalism aimed at the thermal modeling and heat mitigation in high-power double-clad fiber amplifiers. Closed form analytical formulas are developed that take into account the spatial profile of the amplified signal and pump in the double-clad geometry, the presence of the amplified spontaneous emission, and the possibility of radiative
Rafael C. C. Lopes, Rodrigo Voivodic, L. Raul Abramo, Laerte Sodré
We investigate the relationship between the turnaround radius ($R_t$) and the virial mass ($M_v$) of cosmic structures in the context of $Λ$CDM model and in an $f(R)$ model of modified gravity -- namely, the Hu-Sawicki model. The $R_t$ is the distance from the center of the cosmic structure to the shell that is detaching from the Hubble flow at a given time,
Realization of a scalable Laguerre-Gaussian mode sorter based on a robust radial mode sorter
physics.opticsDongzhi Fu, Yiyu Zhou, Rui Qi, Stone Oliver
The transverse structure of light is recognized as a resource that can be used to encode information onto photons and has been shown to be useful to enhance communication capacity as well as resolve point sources in superresolution imaging. The Laguerre-Gaussian (LG) modes form a complete and orthonormal basis set and are described by a radial index p and an
Improved Search for Heavy Neutrinos and a Test of Lepton Universality in the Decay $π^+ \rightarrow \mbox{e}^+ ν$
hep-exR. E. Mischke, A. Aguilar-Arevalo, M. Aoki, M. Blecher
Two results from the PIENU Experiment are presented reporting a test of lepton universality in pion decay and improved limits on heavy neutrinos coupling to positrons. The status of the full analysis for the $π^+ \rightarrow \mbox{e}^+ ν$ branching ratio measurement is summarized.
Dar Gilboa, Sam Buchanan, John Wright
Randomly initialized first-order optimization algorithms are the method of choice for solving many high-dimensional nonconvex problems in machine learning, yet general theoretical guarantees cannot rule out convergence to critical points of poor objective value. For some highly structured nonconvex problems however, the success of gradient descent can be und
Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Kumar Peri
Recently, generative adversarial networks have gained a lot of popularity for image generation tasks. However, such models are associated with complex learning mechanisms and demand very large relevant datasets. This work borrows concepts from image and video captioning models to form an image generative framework. The model is trained in a similar fashion a
Multilayer graphene shows intrinsic resistance peaks in the carrier density dependence
cond-mat.mes-hallTaiki Hirahara, Ryoya Ebisuoka, Takushi Oka, Tomoaki Nakasuga
Since the advent of graphene, a variety of studies have been performed to elucidate its fundamental physics, or to explore its practical applications. Gate-tunable resistance is one of the most important properties of graphene and has been studied in 1-3 layer graphene in a number of efforts to control the band gap to obtain a large on-off ratio. On the othe
Henry H. Hsieh, Masateru Ishiguro, Yoonyoung Kim, Matthew M. Knight
We report observations of the reactivations of main-belt comets 238P/Read and 288P/(300163) 2006 VW139, that also track the evolution of each object's activity over several months in 2016 and 2017. We additionally identify and analyze archival SDSS data showing 288P to be active in 2000, meaning that both 238P and 288P have now each been confirmed to be
Using SOS for Optimal Semialgebraic Representation of Sets: Finding Minimal Representations of Limit Cycles, Chaotic Attractors and Unions
math.OCMorgan Jones, Matthew M. Peet
In this paper we show that Sum-of-Squares optimization can be used to find optimal semialgebraic representations of sets. These sets may be explicitly defined, as in the case of discrete points or unions of sets; or implicitly defined, as in the case of attractors of nonlinear systems. We define optimality in the sense of minimum volume, while satisfying con
The electronic complexity of the ground-state of the FeMo cofactor of nitrogenase as relevant to quantum simulations
physics.chem-phZhendong Li, Junhao Li, Nikesh S. Dattani, C. J. Umrigar
We report that a recent active space model of the nitrogenase FeMo cofactor, proposed in the context of quantum simulations, is not representative of the electronic structure of the FeMo cofactor ground-state. Although quantum resource estimates, outside of the cost of adiabatic state preparation, will not be much affected, conclusions should not be drawn fr
Low-energy band structure and even-odd layer number effect in AB-stacked multilayer graphene
cond-mat.mes-hallRyuta Yagi, Taiki Hirahara, Ryoya Ebisuoka, Tomoaki Nakasuga
How atoms acquire three-dimensional bulk character is one of the fundamental questions in materials science. Before addressing this question, how atomic layers become a bulk crystal might give a hint to the answer. While atomically thin films have been studied in a limited range of materials, a recent discovery showing how to mechanically exfoliate bulk crys
Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu
We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the lack of texture and partial occlusions. At the core of our approach is a {\it geometry-aware} deep architecture that tackles the problem as u
Electron-hole theory of the effect of quantum nuclei on the x-ray absorption spectra of liquid water
physics.chem-phZhaoru Sun, Lixin Zheng, Mohan Chen, Michael L. Klein
Electron-hole excitation theory is used to unveil the role of nuclear quantum effects on the X-ray absorption spectral signatures of water, whose structure is computed via path-integral molecular dynamics with the MB-pol intermolecular potential model. Compared to spectra generated from the classically modeled water, quantum nuclei introduce important effect
Luiz G. A. Alves, Jose S. Andrade, Quentin S. Hanley, Haroldo V. Ribeiro
In spite of the considerable progress towards reducing illiteracy rates, many countries, including developed ones, have encountered difficulty achieving further reduction in these rates. This is worrying because illiteracy has been related to numerous health, social, and economic problems. Here, we show that the spatial patterns of illiteracy in urban system
Yasuyuki Hatsuda, Antonio Sciarappa, Szabolcs Zakany
We propose and test exact quantization conditions for the $N$-particle quantum elliptic Ruijsenaars-Schneider integrable system, as well as its Calogero-Moser limit, based on the conjectural correspondence to the five-dimensional $\mathcal{N} = 1$ $SU(N)$ gauge theory in the Nekrasov-Shatashvili limit. We discuss two natural sets of quantization conditions,
Three-Body Decay of $Λ_c^{*}(2595)$ and $Λ_c^{*}(2625)$ with the Inclusion of Direct Two-Pion Coupling
hep-phA. J. Arifi, H. Nagahiro, A. Hosaka
We investigate the three-body decays of $Λ_c^*(2595)$ and $Λ_c^*(2625)$ into $Λ_c ππ$ by including a direct process going through the two-pion coupling of $Λ_c^*Λ_c ππ$ in addition to the sequential processes going through $Σ_c(2455)$ and $Σ_c^*(2520)$. The strength of the direct coupling is related to that of the Yukawa coupling by the chiral partner struct
Observing the Energetic Universe at Very High Energies with the VERITAS Gamma Ray Observatory
astro-ph.HER. Mukherjee
Very high energy gamma-ray observations offer indirect methods for studying the highest energy cosmic rays in our Universe. The origin of cosmic rays at energies greater than $10^{18}$ eV remains a mystery, and many questions in particle astrophysics exist. The VERITAS observatory in southern Arizona, USA, carries out an extensive observation program of the
Raphael Tang, Jimmy Lin
Neural language models (NLMs) exist in an accuracy-efficiency tradeoff space where better perplexity typically comes at the cost of greater computation complexity. In a software keyboard application on mobile devices, this translates into higher power consumption and shorter battery life. This paper represents the first attempt, to our knowledge, in explorin
Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
We present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our model renders the image of the same person under the new pose, synthesizing novel views of the parts visible in the input image and halluc
Comparison of diluted antiferromagnetic Ising models on frustrated lattices in a magnetic field
physics.comp-phKonstantin Soldatov, Alexey Peretyatko, Konstantin Nefedev, Yutaka Okabe
We study diluted antiferromagnetic Ising models on triangular and kagome lattices in a magnetic field, using the replica-exchange Monte Carlo method. We observe seven and five plateaus in the magnetization curve of the diluted antiferromagnetic Ising model on the triangular and kagome lattices, respectively, when a magnetic field is applied. These observatio
Edward Raff
Artificial Intelligence and Machine Learning have become transformative to a number of industries, and as such many industries need for AI talent is increasing the demand for individuals with these skills. This continues to exacerbate the difficulty of acquiring and retaining talent for the United States Federal Government, both for its direct employees as w
Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang
Image captioning has demonstrated models that are capable of generating plausible text given input images or videos. Further, recent work in image generation has shown significant improvements in image quality when text is used as a prior. Our work ties these concepts together by creating an architecture that can enable bidirectional generation of images and
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko
We study the first-order scattering transform as a candidate for reducing the signal processed by a convolutional neural network (CNN). We show theoretical and empirical evidence that in the case of natural images and sufficiently small translation invariance, this transform preserves most of the signal information needed for classification while substantial
Leslie Greengard, Shidong Jiang
We present a new integral representation for the unsteady, incompressible Stokes or Navier-Stokes equations, based on a linear combination of heat and harmonic potentials. For velocity boundary conditions, this leads to a coupled system of integral equations: one for the normal component of velocity and one for the tangential components. Each individual equa
Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe
An efficient representation of observed data has many benefits in various domains of engineering and science. Representing static data sets, such as images, is a living branch in machine learning and eases downstream tasks, such as classification, regression, or decision making. However, the representation of dynamical systems has received less attention. In
Rob Stevenson, Raymond van Venetië
Uniform preconditioners for operators of negative order discretized by (dis)continuous piecewise polynomials of any order are constructed from a boundedly invertible operator of opposite order discretized by continuous piecewise linears. Besides the cost of the application of the latter discretized operator, the other cost of the preconditioner scales linear
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Common event-triggered state estimation (ETSE) algorithms save communication in networked control systems by predicting agents' behavior, and transmitting updates only when the predictions deviate significantly. The effectiveness in reducing communication thus heavily depends on the quality of the dynamics models used to predict the agents' states or
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive stepsizes and convergence
math.OCDirk A. Lorenz, Quoc Tran-Dinh
We revisit the classical Douglas-Rachford (DR) method for finding a zero of the sum of two maximal monotone operators. Since the practical performance of the DR method crucially depends on the stepsizes, we aim at developing an adaptive stepsize rule. To that end, we take a closer look at a linear case of the problem and use our findings to develop a stepsiz
Ellya Kawecki
In this paper we present and analyse a discontinuous Galerkin finite element method (DGFEM) for the approximation of solutions to elliptic partial differential equations in nondivergence form, with oblique boundary conditions, on curved domains. In "E. Kawecki, \emph{A DGFEM for Nondivergence Form Elliptic Equations with Cordes Coefficients on Curved Dom
Numerical approximation of stochastic evolution equations: Convergence in scale of Hilbert spaces
math.NAHakima Bessaih, Erika Hausenblas, Tsiry Randrianasolo, Paul A. Razafimandimby
The present paper is devoted to the numerical approximation of an abstract stochastic nonlinear evolution equation in a separable Hilbert space {$\mathrm{H}$}. Examples of equations which fall into our framework include the GOY and Sabra shell models and { a class of nonlinear heat equations.} The space-time numerical scheme is defined in terms of a Galerkin
Andrea C. G. Mennucci
Many Random Number Generators (RNG) are available nowadays; they are divided in two categories, hardware RNG, that provide "true" random numbers, and algorithmic RNG, that generate pseudo random numbers (PRNG). Both types usually generate random numbers $(X_n)$ as independent uniform samples in a range $0,\cdots,2^{b-1}$, with $b = 8, 16, 32$ or $b =
Mirko Palmer, Thorben Krüger, Balakrishnan Chandrasekaran, Anja Feldmann
Within a few years of its introduction, QUIC has gained traction: a significant chunk of traffic is now delivered over QUIC. The networking community is actively engaged in debating the fairness, performance, and applicability of QUIC for various use cases, but these debates are centered around a narrow, common theme: how does the new reliable transport buil
Mees van de Kerkhof, Irina Kostitsyna, Maarten Löffler, Majid Mirzanezhad
Due to its many applications, \emph{curve simplification} is a long-studied problem in computational geometry and adjacent disciplines, such as graphics, geographical information science, etc. Given a polygonal curve $P$ with $n$ vertices, the goal is to find another polygonal curve $P'$ with a smaller number of vertices such that $P'$ is sufficientl
Jenna Frens, Ruby Davis, Jihyun Lee, Diana Zhang
Fanfiction.net provides an informal learning space for young writers through distributed mentoring, networked giving and receiving of feedback. In this paper, we quantify the cumulative effect of feedback on lexical diversity for 1.5 million authors.
A. Rouco Escorial, R. Wijnands, L. S. Ootes, N. Degenaar
The Be/X-ray transient GRO J1750-27 exhibited a type-II (giant) outburst in 2015. After the source transited to quiescence, we triggered our multi-year Chandra monitoring programme to study its quiescent behaviour. The programme was designed to follow the cooling of a potentially heated neutron-star crust due to accretion of matter during the preceding outbu
Yibo Gao, Junyao Peng
A shelling of a graph, viewed as an abstract simplicial complex that is pure of dimension 1, is an ordering of its edges such that every edge is adjacent to some other edges appeared previously. In this paper, we focus on complete bipartite graphs and trees. For complete bipartite graphs, we obtain an exact formula for their shelling numbers. And for trees,
Zhongping Zhang, Youzuo Lin
Acoustic- and elastic-waveform inversion is an important and widely used method to reconstruct subsurface velocity image. Waveform inversion is a typical non-linear and ill-posed inverse problem. Existing physics-driven computational methods for solving waveform inversion suffer from the cycle skipping and local minima issues, and not to mention solving wave
Gus L. W. Hart, Jeremy J. Jorgensen, Wiley S. Morgan, Rodney W. Forcade
We develop an algorithm for i) computing generalized regular $k$-point grids, ii) reducing the grids to their symmetrically distinct points, and iii) mapping the reduced grid points into the Brillouin zone. The algorithm exploits the connection between integer matrices and finite groups to achieve a computational complexity that is linear with the number of
M. D. Campanell, G. R. Johnson
Contemporary models of bounded plasmas assume that the target plasma electron temperature far exceeds the temperature of the cold electrons emitted from the target, T_emit. We show that when the sheath facing a collisional plasma becomes inverted, the target plasma electron temperature has to equal T_emit even if the upstream plasma is hotter by orders of ma
Jimin Lin, Matthew Lorig
In their seminal work Carr and Lee (2008) show how to robustly price and replicate a variety of claims written on the quadratic variation of a risky asset under the assumption that the asset's volatility process is independent of the Brownian motion that drives the asset's price. Additionally, they propose a correlation immunization strategy that min
Daniel Rouan, Lucas Grosset, Damien Gratadour
Establishing precisely how stars and interstellar medium distribute within the central 100 pc area around an AGN, down to the pc scale, is key for understanding how the very final transfer of matter from kpc scale to the sub-parsec size of the accretion disc is achieved. Using AO-assisted (SPHERE-VLT) near-IR images in H and Ks and narrow-band of the Seyfert
Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang
We present a novel solution to the problem of simulation-to-real transfer, which builds on recent advances in robot skill decomposition. Rather than focusing on minimizing the simulation-reality gap, we learn a set of diverse policies that are parameterized in a way that makes them easily reusable. This diversity and parameterization of low-level skills allo
Joseph A. Ball, Haripada Sau
The goal of the present paper is to push Sz.-Nagy--Foias model theory for a completely nonunitary Hilbert-space contraction operator $T$, to the case of a commuting pair of contraction operators $(T_1, T_2)$ having product $T = T_1 T_2$ which is completely nonunitary. The idea is to use the Sz.-Nagy-Foias functional model for $T$ as the model space also for
Daniel Le
Let $p>2$ be a prime. We give examples of smooth absolutely irreducible representations of $\mathrm{GL}_2(\mathbb{Q}_{p^3})$ over $\mathbb{F}_{p^3}$ which are not admissible.
Direct construction of optimized stellarator shapes. II. Numerical quasisymmetric solutions
physics.plasm-phMatt Landreman, Wrick Sengupta, Gabriel G Plunk
Quasisymmetric stellarators are appealing intellectually and as fusion reactor candidates since the guiding center particle trajectories and neoclassical transport are isomorphic to those in a tokamak, implying good confinement. Previously, quasisymmetric magnetic fields have been identified by applying black-box optimization algorithms to minimize symmetry-
Salvatore Salamone, Nava Schulmann, Olivier Benzerara, Hendrik Meyer
We study the compression of bundles of aligned macroscopic fibers with intrinsic shape disorder, as found in human hair and in many other natural and man-made systems. We show by a combination of experiments, numerical simulations and theory how the statistical properties of the shapes of the fibers control the collective mechanical behaviour of the bundles.
Direct construction of optimized stellarator shapes. I. Theory in cylindrical coordinates
physics.plasm-phMatt Landreman, Wrick Sengupta
The confinement of guiding center trajectories in a stellarator is determined by the variation of the magnetic field strength $B$ in Boozer coordinates $(r, θ, φ)$, but $B(r,θ,φ)$ depends on the flux surface shape in a complicated way. Here we derive equations relating $B(r,θ,φ)$ in Boozer coordinates and the rotational transform to the shape of flux surface
Xi-Lin Li
We study two types of preconditioners and preconditioned stochastic gradient descent (SGD) methods in a unified framework. We call the first one the Newton type due to its close relationship to the Newton method, and the second one the Fisher type as its preconditioner is closely related to the inverse of Fisher information matrix. Both preconditioners can b
René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi
Topological data analysis and its main method, persistent homology, provide a toolkit for computing topological information of high-dimensional and noisy data sets. Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques. We contribute a kernel construction for multi-parameter persis
Gabriel Dahia, Maurício Pamplona Segundo
High-resolution fingerprint recognition often relies on sophisticated matching algorithms based on hand-crafted keypoint descriptors, with pores being the most common keypoint choice. Our method is the opposite of the prevalent approach: we use instead a simple matching algorithm based on robust local pore descriptors that are learned from the data using a C
Fundamentals and model of resonance helicity and energy transfer between two magnetoelectric chiral particles
physics.opticsManuel Nieto-Vesperinas
We establish a classical electrodynamic theory for the non-radiative transfer of field helicity (RHELT) and energy (RET) between a donor and an acceptor, both being dipolar, magnetoelectric and bi-isotropic, chiral in particular, with rotating excited dipoles. We introduce orientational factors that control this process. Also, a RHELT and RET interaction rad
Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar
We derive the optimal $(0, δ)$-differentially private query-output independent noise-adding mechanism for single real-valued query function under a general cost-minimization framework. Under a mild technical condition, we show that the optimal noise probability distribution is a uniform distribution with a probability mass at the origin. We explicitly derive
Hope How-Huan Chen, Jaime E. Pineda, Alyssa A. Goodman, Andreas Burkert
We present the observation and analysis of newly discovered coherent structures in the L1688 region of Ophiuchus and the B18 region of Taurus. Using data from the Green Bank Ammonia Survey (GAS), we identify regions of high density and near-constant, almost-thermal, velocity dispersion. Eighteen coherent structures are revealed, twelve in L1688 and six in B1
Jason Gaddis, Daniel Rogalski
We consider graded twisted Calabi-Yau algebras of dimension 3 which are derivation-quotient algebras of the form $A = \kk Q/I$, where $Q$ is a quiver and $I$ is an ideal of relations coming from taking partial derivatives of a twisted superpotential on $Q$. We define the type $(M, P, d)$ of such an algebra $A$, where $M$ is the incidence matrix of the quiver
Nonnegative Ricci curvature, almost stability at infinity, and structure of fundamental groups
math.DGJiayin Pan
We study the fundamental group of an open $n$-manifold $M$ of nonnegative Ricci curvature with additional stability condition on $\widetilde{M}$, the Riemannian universal cover of $M$. We prove that if any tangent cone of $\widetilde{M}$ at infinity is a metric cone, whose cross-section is sufficiently Gromov-Hausdorff close to a prior fixed metric space, th
Trading information complexity for error II: the case of a large error and external information complexity
cs.CCYaqiao Li
Two problems are studied in this paper. (1) How much external or internal information cost is required to compute a Boolean-valued function with an error at most $1/2-ε$ for a small $ε$? It is shown that information cost of order $ε^2$ is necessary and of order $ε$ is sufficient. (2) How much external information cost can be saved to compute a function with
Farshid Jafarpour
We study the effect of correlations in generation times on the dynamics of population growth of microorganisms. We show that any non-zero correlation that is due to cell-size regulation, no matter how small, induces long-term oscillations in the population growth rate. The population only reaches its steady state when we include the often-neglected variabili
Grzegorz Karch, Moritz Kassmann, Miłosz Krupski
We study the Cauchy problem for non-linear non-local operators that may be degenerate. Our general framework includes cases where the jump intensity is allowed to depend on the values of the solution itself, e.g. the porous medium equation with the fractional Laplacian and the parabolic fractional $p$-Laplacian. We show the existence, uniqueness of bounded s
Ryan Marcus, Olga Papaemmanouil
Query optimization remains one of the most important and well-studied problems in database systems. However, traditional query optimizers are complex heuristically-driven systems, requiring large amounts of time to tune for a particular database and requiring even more time to develop and maintain in the first place. In this vision paper, we argue that a new
Guang Yang, Cun Mu
Having the right assortment of shipping boxes in the fulfillment warehouse to pack and ship customer's online orders is an indispensable and integral part of nowadays eCommerce business, as it will not only help maintain a profitable business but also create great experiences for customers. However, it is an extremely challenging operations task to strat
Tim Dokchitser, Vladimir Dokchitser, Adam Morgan
Let C/K be a curve over a local field. We study the natural semilinear action of Galois on the minimal regular model of C over a field F where it becomes semistable. This allows us to describe the Galois action on the l-adic Tate module of the Jacobian of C/K in terms of the special fibre of this model over F.
J. van den Eijnden, N. Degenaar, T. D. Russell, R. Wijnands
Relativistic jets are observed throughout the Universe, strongly impacting their surrounding environments on all physical scales, from Galactic binary systems to galaxies and galaxy clusters. An important avenue to understand the formation of these jets is by characterising the systems and circumstances from which they are launched. Whenever a black hole or
Dean Crnkovic, Sanja Rukavina, Andrea Svob
We construct distance-regular graphs, including strongly regular graphs, admitting a transitive action of the Chevalley groups $G_2(4)$ and $G_2(5)$, the orthogonal group $O(7,3)$ and the Tits group $T=$$^2F_4(2)'$. Most of the constructed graphs have more than 1000 vertices, and the number of vertices goes up to 28431. Some of the obtained graphs are ne
Cocoon formation by a mildly relativistic pair jet in unmagnetized collisionless electron-proton plasma
astro-ph.HEM E Dieckmann, G Sarri, D Folini, R Walder
By modelling the expansion of a cloud of electrons and positrons with the temperature 400 keV that propagates at the mean speed 0.9c ($c:$ speed of light) through an initially unmagnetized electron-proton plasma with a particle-in-cell (PIC) simulation, we find a mechanism that collimates the pair cloud into a jet. A filamentation instability develops betwee
Mikhail Zhitlukhin
We introduce a new measure of performance of investment strategies, the monotone Sharpe ratio. We study its properties, establish a connection with coherent risk measures, and obtain an efficient representation for using in applications.
Rocco Chirivì
The discrete LS algebra over a totally ordered set is the homogeneous coordinate ring of an irreducible projective (normal) toric variety. We prove that this algebra is the ring of invariants of a finite abelian group containing no pseudo-reflection acting on a polynomial ring. This is used to study the Gorenstein property for LS algebras. Further we show th
Teck-Ghee Lee, M. Busquet, M. Klapisch, J. W. Bates
A theoretical model based on the method of super transition arrays (STA) is used to compute the emissivities, opacities and average ionization states of carbon (C) and polystyrene (CH) plasmas in the warm-dense matter regime in which the coupling constant varies between 0.02 to 2.0. The accuracy of results of STA calculations is assessed by benchmarking agai
Graham D. Kribs, Adam Martin, Bryan Ostdiek, Tom Tong
A new, strongly-coupled dark sector could be accessible to LHC searches now. These dark sectors consist of composites formed from constituents that are charged under the electroweak group and interact with the Higgs, but are neutral under Standard Model color. In these scenarios, the most promising target is the dark meson sector, consisting of dark vector-m
Graham D. Kribs, Adam Martin, Tom Tong
Dark mesons are bosonic composites of a new, strongly-coupled sector beyond the Standard Model. We consider several dark sectors with fermions that transform under the electroweak group, as arise from a variety of models including strongly-coupled theories of dark matter (e.g., stealth dark matter), bosonic technicolor (strongly-coupled indcued electroweak s
Yulin Shao, Soung Chang Liew, Taotao Wang
Sequences play an important role in many applications and systems. Discovering sequences with desired properties has long been an interesting intellectual pursuit. This paper puts forth a new paradigm, AlphaSeq, to discover desired sequences algorithmically using deep reinforcement learning (DRL) techniques. AlphaSeq treats the sequence discovery problem as
The influence of oscillations on energy estimates for damped wave models with time-dependent propagation speed and dissipation
math.APHalit Sevki Aslan, Michael Reissig
The aim of this paper is to derive higher order energy estimates for solutions to the Cauchy problem for damped wave models with time-dependent propagation speed and dissipation. The model of interest is \begin{equation*} u_{tt}-λ^2(t)ω^2(t)Δu +ρ(t)ω(t)u_t=0, \quad u(0,x)=u_0(x), \,\, u_t(0,x)=u_1(x). \end{equation*} The coefficients $λ=λ(t)$ and $ρ=ρ(t)$ ar
Sander Dommers, Peter Eichelsbacher
We study the inhomogeneous Curie-Weiss model with external field, where the inhomogeneity is introduced by adding a positive weight to every vertex and letting the interaction strength between two vertices be proportional to the product of their weights. In this model, the sum of the spins obeys a central limit theorem outside the critical line. We derive a
Holistic generational offsets: Fostering a primitive online abstraction for human vs. machine cognition
cs.DCShaun D'Souza, Trevor Mudge
We propose a unified architecture for next generation cognitive, low cost, mobile internet. The end user platform is able to scale as per the application and network requirements. It takes computing out of the data center and into end user platform. Internet enables open standards, accessible computing and applications programmability on a commodity platform
Joseph McGrath, Kevin W. Bowyer, Adam Czajka
This paper proposes the first, known to us, open source presentation attack detection (PAD) solution to distinguish between authentic iris images (possibly wearing clear contact lenses) and irises with textured contact lenses. This software can serve as a baseline in various PAD evaluations, and also as an open-source platform with an up-to-date reference me
Mudassir Moosa, Ibrahim Shehzad
It was proposed by Miyaji et al. that the fidelity susceptibility of a state of a conformal field theory under a marginal deformation is holographically dual to the volume of a maximal time slice in the dual Anti de Sitter spacetime. We study this proposal by analyzing the leading and subleading divergences in these two quantities in two specific scenarios.
Philippe Brax, Sylvain Fichet
We initiate a quantum treatment of chameleon-like particles, deriving classical and quantum forces directly from the path integral. It is found that the quantum force can potentially dominate the classical one by many orders of magnitude. We calculate the quantum chameleon pressure between infinite plates, which is found to interpolate between the Casimir an
N. V. Klenov, Yu. N. Khaydukov, S. V. Bakurskiy, I. I. Soloviev
We present a new study of magnetic structures with controllable effective exchange energy for Josephson switches and memory. As a basis for a weak link we propose to use a periodic structure comprised of ferromagnetic (F) layers spaced by thin superconductors (s). Our calculations based on Usadel equations show that switching from parallel (P) to antiparalle
Fragile superconductivity in the presence of weakly disordered charge density waves
cond-mat.supr-conYue Yu, S. A. Kivelson
When superconducting (SC) and charge-density wave (CDW) orders compete, novel low temperature behaviors can result. From an analysis of the Landau-Ginzberg-Wilson theory of competing orders, we demonstrate the generic occurrence of a `fragile' SC phase at low temperatures and high fields in the presence of weak disorder. Here, the SC order is largely con
Flavia Lanzara, Eugenio Montefusco
We analysed some qualitative properties of the limit configuration of the solutions of a reaction-diffusion system of four competing species as the competition rate tends to infinity. Large interaction induces the spatial segregation of the species and only two limit configurations are possible: either there is a point where four species concur, a 4-point, o
Henrik Wilming, Jens Eisert
The area law conjecture states that the entanglement entropy of a region of space in the ground state of a gapped, local Hamiltonian only grows like the surface area of the region. We show that, for any quantum state that fulfills an area law, the reduced quantum state of a region of space can be unitarily compressed into a thickened surface of the region. I
Suvrat Raju
A sharp version of the information paradox involves a seeming violation of the monogamy of entanglement during black hole evaporation. We construct an analogous paradox in empty anti-de Sitter space. In a local quantum field theory, Bell correlations between operators localized in mutually spacelike regions are monogamous. We show, through a controlled calcu
P. Diaz, J. A. Rosabal
In this work we study spontaneous symmetry breaking patterns in tensor models. We focus on the patterns which lead to effective matrix theories transforming in the adjoint of $U(N)$. We find the explicit form of the Goldstone bosons which are organized as matrix multiplets in the effective theory. The choice of these symmetry breaking patterns is motivated b
Hugues Beauchesne, Enrico Bertuzzo, Giovanni Grilli di Cortona
It is a distinct possibility that a Hidden Valley sector would have a spectrum of light particles consisting of both stable and unstable dark mesons. The simultaneous presence of these two types of particles can lead to novel mechanisms for generating the correct dark matter relic abundance, which in turn can reflect themselves into new exotic signatures at