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Academic Torrents
by Mahendra Kumar Trivedi; Alice Branton; Dahryn Trivedi; Gopal Nayak; Johanne Dodon
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The aim of the study was to evaluate the effect of the The Trivedi Effect®- Consciousness Energy Healing Treatment based new proprietary herbomineral formulation and cell medium (DMEM) on various skin health parameters using HFF-1, HaCaT, and B16-F10 cell lines. It contained minerals (zinc chloride, sodium selenate, and sodium molybdate), L-ascorbic acid, along with the mixture of Centella asiatica extract and tetrahydrocurcumin (THC). The test formulation and DMEM were divided into two parts...
Topics: Consciousness Energy Healing Treatment, Extracellular Matrix, HaCaT, HFF-1, Hyaluronic Acid,...
Source: http://academictorrents.com/details/bb8caf51774a0643d1eb526cba0940b16f4d5539
Arxiv.org
by Rossen Ivanov; Tony Lyons; Nigel Orr
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The soliton solutions of the Camassa-Holm equation are derived by the implementation of the dressing method. The form of the one and two soliton solutions coincides with the form obtained by other methods.
Topics: Mathematical Physics, Nonlinear Sciences, Exactly Solvable and Integrable Systems, Mathematics
Source: http://arxiv.org/abs/1702.01128
Arxiv.org
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We shall reproof formulas for the Hodge numbers of Calabi-Yau threefolds of Borcea-Voisin type constructed by A. Cattaneo and A. Garbagnati, using the orbifold cohomology formula and the orbifold Euler characteristic.
Topics: Algebraic Geometry, Mathematics
Source: http://arxiv.org/abs/1702.04913
Arxiv.org
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In this paper we study digit frequencies in the setting of expansions in non-integer bases, and self-affine sets with non-empty interior. Within expansions in non-integer bases we show that if $\beta\in(1,1.787\ldots)$ then every $x\in(0,\frac{1}{\beta-1})$ has a simply normal $\beta$-expansion. We also prove that if $\beta\in(1,\frac{1+\sqrt{5}}{2})$ then every $x\in(0,\frac{1}{\beta-1})$ has a $\beta$-expansion for which the digit frequency does not exist, and a $\beta$-expansion with...
Topics: Classical Analysis and ODEs, Dynamical Systems, Number Theory, Mathematics
Source: http://arxiv.org/abs/1701.06773
Arxiv.org
by Brian Conrey; Jonathan P. Keating
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In this series of papers we examine the calculation of the $2k$th moment and shifted moments of the Riemann zeta-function on the critical line using long Dirichlet polynomials and divisor correlations. The present paper completes the general study of what we call Type II sums which utilize a circle method framework and a convolution of shifted convolution sums to obtain all of the lower order terms in the asymptotic formula for the mean square along $[T,2T]$ of a Dirichlet polynomial of...
Topics: Number Theory, Mathematics
Source: http://arxiv.org/abs/1701.06651
Arxiv.org
by Aras Erzurumluoğlu; David A. Pike
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Given a combinatorial design $\mathcal{D}$ with block set $\mathcal{B}$, the block-intersection graph (BIG) of $\mathcal{D}$ is the graph that has $\mathcal{B}$ as its vertex set, where two vertices $B_{1} \in \mathcal{B}$ and $B_{2} \in \mathcal{B} $ are adjacent if and only if $|B_{1} \cap B_{2}| > 0$. The $i$-block-intersection graph ($i$-BIG) of $\mathcal{D}$ is the graph that has $\mathcal{B}$ as its vertex set, where two vertices $B_{1} \in \mathcal{B}$ and $B_{2} \in \mathcal{B}$ are...
Topics: Combinatorics, Mathematics
Source: http://arxiv.org/abs/1701.07606
Arxiv.org
by Tetyuya Taikei; Kazuhito Takeuchi; Koretaka Yuge
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Our recent study elucidate that information of density of states in configuration space (CDOS) for non-interacting system, characterized by spatial constraint on the system, plays essential role to determine thermodynamically equilibrium properties for interacting systems. Particularly for disordered states, variance of CDOS along all possible coordinations plays significant role. Despite this fact, even for binary system of crystalline solids, analytic expression for variance of CDOS as a...
Topics: Disordered Systems and Neural Networks, Condensed Matter
Source: http://arxiv.org/abs/1701.08565
Arxiv.org
by Siavash Arjomand Bigdeli; Matthias Zwicker
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We propose to leverage denoising autoencoder networks as priors to address image restoration problems. We build on the key observation that the output of an optimal denoising autoencoder is a local mean of the true data density, and the autoencoder error (the difference between the output and input of the trained autoencoder) is a mean shift vector. We use the magnitude of this mean shift vector, that is, the distance to the local mean, as the negative log likelihood of our natural image prior....
Topics: Computing Research Repository, Computer Vision and Pattern Recognition, Graphics
Source: http://arxiv.org/abs/1703.09964
Arxiv.org
by Matteo Amabili; Alberto Giacomello; Simone Meloni; Carlo Massimo Casciola
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The mechanism of the collapse of the superhydrophobic state is elucidated for submerged nanoscale textures forming a three-dimensional interconnected vapor domain. This key issue for the design of nanotextures poses significant simulation challenges as it is characterized by diverse time and length scales. State-of-the-art atomistic rare events simulations are applied for overcoming the long time scales connected with the large free energy barriers. In such interconnected surface cavities...
Topics: Condensed Matter, Soft Condensed Matter
Source: http://arxiv.org/abs/1703.10389
Arxiv.org
by Daniele Agostini; Alex Küronya; Victor Lozovanu
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We characterize property $(N_p)$ on a polarized surface $(X,L)$ with trivial canonical bundle in terms of the (non)existence of certain forbidden subvarieties of $X$.
Topics: Algebraic Geometry, Mathematics
Source: http://arxiv.org/abs/1703.10203
Arxiv.org
by Arnaud Blouin; Valéria Lelli; Benoit Baudry; Fabien Coulon
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User Interfaces (UIs) intensively rely on event-driven programming: widgets send UI events, which capture users' interactions, to dedicated objects called controllers. Controllers use several UI listeners that handle these events to produce UI commands. First, we reveal the presence of design smells in the code that describes and controls UIs. Second, we demonstrate that specific code analyses are necessary to analyze and refactor UI code, because of its coupling with the rest of the code. We...
Topics: Human-Computer Interaction, Software Engineering, Computing Research Repository
Source: http://arxiv.org/abs/1703.10674
Arxiv.org
by Florin Belgun; Vicente Cortés; Alexander S. Haupt; David Lindemann
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The classification of homogeneous compact Einstein manifolds in dimension six is an open problem. We consider the remaining open case, namely left-invariant Einstein metrics $g$ on $G = \mathrm{SU}(2) \times \mathrm{SU}(2) = S^3 \times S^3$. Einstein metrics are critical points of the total scalar curvature functional for fixed volume. The scalar curvature $S$ of a left-invariant metric $g$ is constant and can be expressed as a rational function in the parameters determining the metric. The...
Topics: High Energy Physics - Theory, Differential Geometry, Mathematical Physics, Mathematics
Source: http://arxiv.org/abs/1703.10512
Arxiv.org
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We study self-avoiding walks on the four-dimensional hypercubic lattice via Monte Carlo simulations of walks with up to one billion steps. We study the expected logarithmic corrections to scaling, and find convincing evidence in support the scaling form predicted by the renormalization group, with an estimate for the power of the logarithmic factor of 0.2516(14), which is consistent with the predicted value of 1/4. We also characterize the behaviour of the pivot algorithm for sampling...
Topics: Statistical Mechanics, Condensed Matter, Mathematical Physics, Mathematics
Source: http://arxiv.org/abs/1703.10557
Arxiv.org
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We consider a family of axisymmetric curves evolving by its mean curvature with driving force in the half space. We impose a boundary condition that the curves are perpendicular to the boundary for $t>0$, however, the initial curve intersects the boundary tangentially. In other words, the initial curve is oriented singularly. We investigate this problem by level set method and give some criteria to judge whether the interface evolution is fattening or not. In the end, we can classify the...
Topics: Dynamical Systems, Mathematics
Source: http://arxiv.org/abs/1703.10707
Arxiv.org
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Recent contributions address the problem of language coexistence as that of two species competing to aggregate speakers, thus focusing on the dynamics of linguistic traits across populations. They draw inspiration from physics and biology and share some underlying ideas -- e. g. the search for minimal schemes to explain complex situations or the notion that languages are extant entities in a societal context and, accordingly, that objective, mathematical laws emerge driving the aforementioned...
Topics: Physics, Physics and Society
Source: http://arxiv.org/abs/1703.10706
Arxiv.org
by Marvin Wyrich; Ivan Bogicevic; Stefan Wagner
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Communication in teams is an important but difficult issue. In a Scrum development process, we use the Daily Scrum meetings to inform others about important problems, news and events in the project. When persons are absent due to holiday, illness or travel, they miss relevant information because there is no document that protocols the content of these meetings. We present a concept and a Twitter-like tool that improves communication in a Scrum development process. We take advantage out of the...
Topics: Software Engineering, Computing Research Repository
Source: http://arxiv.org/abs/1703.10813
Arxiv.org
by Adolfo Guarino; Javier Tarrio
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We present BPS black hole solutions in a four-dimensional $\mathcal{N}=2$ supergravity with an abelian dyonic gauging of the universal hypermultiplet moduli space. This supergravity arises as the SU(3)-invariant subsector in the reduction of massive IIA supergravity on a six-sphere. The solutions are supported by non-constant scalar, vector and tensor fields and interpolate between a unique $\textrm{AdS}_{2} \,\times\, \textrm{H}^2$ geometry in the near-horizon region and the domain-wall...
Topic: High Energy Physics - Theory
Source: http://arxiv.org/abs/1703.10833
Arxiv.org
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In the first part of this paper we will prove the Voevodsky's nilpotence conjecture for smooth cubic fourfolds and ordinary generic Gushel-Mukai fourfolds. Then, making use of noncommutative motives, we will prove the Voevodsky's nilpotence conjecture for generic Gushel-Mukai fourfolds containing a $\tau$-plane $\G(2,3)$ and for ordinary Gushel-Mukai fourfolds containing a quintic del Pezzo surface.
Topics: Algebraic Geometry, Mathematics
Source: http://arxiv.org/abs/1703.10844
Arxiv.org
by Walter Cazzola; Albert Shaqiri
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Context: This paper presents the concept of open programming language interpreters and the implementation of a framework-level metaobject protocol (MOP) to support them. Inquiry: We address the problem of dynamic interpreter adaptation to tailor the interpreter's behavior on the task to be solved and to introduce new features to fulfill unforeseen requirements. Many languages provide a MOP that to some degree supports reflection. However, MOPs are typically language-specific, their reflective...
Topics: Programming Languages, Computing Research Repository, Software Engineering
Source: http://arxiv.org/abs/1703.10873
Arxiv.org
by H. Esat Kondakci; Andre Beckus; Ahmed El Halawany; Nafiseh Mohammadian; George K. Atia; Ayman F. Abouraddy
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In absence of a lens to form an image, incoherent or partially coherent light scattering off an obstructive or reflective object forms a broad intensity distribution in the far field with only feeble spatial features. We show here that measuring the complex spatial coherence function can help in the identification of the size and location of a one-dimensional object placed in the path of a partially coherent light source. The complex coherence function is measured in the far field through...
Topics: Optics, Physics
Source: http://arxiv.org/abs/1703.10980
Arxiv.org
by Domagoj Herceg; Pantelis Sopasakis; Alberto Bemporad; Panagiotis Patrinos
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In robust model predictive control (MPC), modeling errors and disturbances are assumed to be unknown-but-bounded quantities and the performance index is minimized with respect to the worst-case realization of the uncertainty (min-max approach). Instead, in stochastic MPC it is assumed that the underlying uncertainty is a random vector following some probability distribution. However, not always can the probability distribution be accurately estimated from available data, nor does it remain...
Topics: Optimization and Control, Mathematics
Source: http://arxiv.org/abs/1704.00342
Arxiv.org
by Haixia Liu
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Citation sentiment analysis is an important task in scientific paper analysis. Existing machine learning techniques for citation sentiment analysis are focusing on labor-intensive feature engineering, which requires large annotated corpus. As an automatic feature extraction tool, word2vec has been successfully applied to sentiment analysis of short texts. In this work, I conducted empirical research with the question: how well does word2vec work on the sentiment analysis of citations? The...
Topics: Computing Research Repository, Computation and Language
Source: http://arxiv.org/abs/1704.00177
Arxiv.org
by Abhishek Kashyap; Megha Agarwal; Hariom Gupta
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Copy-move forgery is one of the simple and effective operations to create forged images. Recently, techniques based on singular value decomposition (SVD) are widely used to detect copy-move forgery (CMF). Some approaches based on SVD are most acceptable to detect copy-move forgery but some copy-move forgery detection approaches can not produce satisfactory detection results. Sometimes these approaches may even produce error results. According to our observation, detection result produced using...
Topics: Multimedia, Computing Research Repository
Source: http://arxiv.org/abs/1704.00631
Arxiv.org
by Andre Reznikov
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We consider (generalized) periods of Maass forms along non-closed geodesics having a closed geodesic as the limit set.
Topics: Number Theory, Analysis of PDEs, Mathematics
Source: http://arxiv.org/abs/1704.00627
Arxiv.org
by Hyosun Kim; Alfonso Trejo; Sheng-Yuan Liu; Raghvendra Sahai; Ronald E. Taam; Mark R. Morris; Naomi Hirano; I-Ta Hsieh
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Preplanetary nebulae and planetary nebulae are evolved, mass-losing stellar objects that show a wide variety of morphologies. Many of these nebulae consist of outer structures that are nearly spherical (spiral/shell/arc/halo) and inner structures that are highly asymmetric (bipolar/multipolar). The coexistence of such geometrically distinct structures is enigmatic because it hints at the simultaneous presence of both wide and close binary interactions, a phenomenon that has been attributed to...
Topics: Astrophysics of Galaxies, Solar and Stellar Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1704.00449
Arxiv.org
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Tile (\mathbb{R}^2\) into disjoint unit squares (\{S_k\}_{k \geq 0}\) with the origin being the centre of \(S_0\) and say that (S_i\) and (S_j\) are star adjacent if they share a corner and plus adjacent if they share an edge. Every square is either vacant or occupied. Outermost boundaries of finite star and plus connected components frequently arise in the context of contour analysis in percolation and random graphs. In this paper, we derive the outermost boundaries for finite star and plus...
Topics: Probability, Mathematics
Source: http://arxiv.org/abs/1704.00461
Arxiv.org
by Romain Laroche; Mehdi Fatemi; Joshua Romoff; Harm van Seijen
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This article deals with a novel branch of Separation of Concerns, called Multi-Advisor Reinforcement Learning (MAd-RL), where a single-agent RL problem is distributed to $n$ learners, called advisors. Each advisor tries to solve the problem with a different focus. Their advice is then communicated to an aggregator, which is in control of the system. For the local training, three off-policy bootstrapping methods are proposed and analysed: local-max bootstraps with the local greedy action,...
Topics: Learning, Machine Learning, Statistics, Artificial Intelligence, Computing Research Repository
Source: http://arxiv.org/abs/1704.00756
Arxiv.org
by Alexandre Fernandes; J. Edson Sampaio; Joserlan P. Silva
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We prove that if two germs of irreducible complex analytic curves at $0\in\mathbb{C}^2$ have different sequence of characteristic exponents, then there exists $0
Topics: Algebraic Geometry, Complex Variables, Mathematics
Source: http://arxiv.org/abs/1704.00755
Arxiv.org
by E. DeGiuli; M. Wyart
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The macroscopic friction of particulate materials often weakens as the flow rate is increased, leading to potentially disastrous intermittent phenomena including earthquakes and landslides. We theoretically and numerically study this phenomenon in simple granular materials. We show that velocity-weakening, corresponding to a non-monotonic behavior in the friction law $\mu(I)$, is present even if the dynamic and static microscopic friction coefficients are identical, but disappears for softer...
Topics: Condensed Matter, Soft Condensed Matter
Source: http://arxiv.org/abs/1704.00740
Arxiv.org
by Olivier Debarre; Emanuele Macrì
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We study smooth projective hyperk\"ahler fourfolds which are deformations of Hilbert squares of K3 surfaces and are equipped with a polarization of fixed degree and divisibility. When their Picard number is 2, we describe their nef and movable cones and their biregular and birational automorphism groups. We then apply these results to determine which of these varieties are isomorphic to Hilbert squares of K3 surfaces, varieties of lines on cubic fourfolds, or double EPW sextics.
Topics: Algebraic Geometry, Mathematics
Source: http://arxiv.org/abs/1704.01439
Arxiv.org
by Mengtian Guo; Xianguo Hu; Jiafeng Lu; Xingting Wang
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In this paper, the so-called differential graded (DG for short) Poisson Hopf algebra is introduced, which can be considered as a natural extension of Poisson Hopf algebras in the differential graded setting. The structures on the universal enveloping algebras of differential graded Poisson Hopf algebras are discussed.
Topics: Rings and Algebras, Mathematics
Source: http://arxiv.org/abs/1704.01322
Arxiv.org
by Juan Wang; Feng Xiao; Jianwei Huang; Daochen Zha; Hongxin Hu; Huanguo Zhan
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The static nature of current cyber systems has made them easy to be attacked and compromised. By constantly changing a system, Moving Target Defense (MTD) has provided a promising way to reduce or move the attack surface that is available for exploitation by an adversary. However, the current network- based MTD obfuscates networks indiscriminately that makes some networks key services, such as web and DNS services, unavailable, because many information of these services has to be opened to the...
Topics: Cryptography and Security, Networking and Internet Architecture, Computing Research Repository
Source: http://arxiv.org/abs/1704.01482
Arxiv.org
by Danilo Avola; Gian Luca Foresti; Niki Martinel; Daniele Pannone; Claudio Piciarelli
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In recent years, the technological improvements of low-cost small-scale Unmanned Aerial Vehicles (UAVs) are promoting an ever-increasing use of them in different tasks. In particular, the use of small-scale UAVs is useful in all these low-altitude tasks in which common UAVs cannot be adopted, such as recurrent comprehensive view of wide environments, frequent monitoring of military areas, real-time classification of static and moving entities (e.g., people, cars, etc.). These tasks can be...
Topics: Computing Research Repository, Computer Vision and Pattern Recognition
Source: http://arxiv.org/abs/1704.01426
Arxiv.org
by Xianguo Hu; Jiafeng Lu; Xingting Wang
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For any differential graded (DG for short) Poisson algebra $A$ given by generators and relations, we give a "formula" for computing the universal enveloping algebra $A^e$ of $A$. Moreover, we prove that $A^e$ has a Poincar\'e-Birkhoff-Witt basis provided that $A$ is a graded commutative polynomial algebra. As an application of the PBW-basis, we show that a DG symplectic ideal of a DG Poisson algebra $A$ is the annihilator of a simple DG Poisson $A$-module, where $A$ is the DG Poisson...
Topics: Rings and Algebras, Mathematics
Source: http://arxiv.org/abs/1704.01319
Arxiv.org
by Muppirala Viswa Virinchi; Abhishek Behera; Manoj Gopalkrishnan
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The notion of entropy is shared between statistics and thermodynamics, and is fundamental to both disciplines. This makes statistical problems particularly suitable for reaction network implementations. In this paper we show how to perform a statistical operation known as Information Projection or E projection with stochastic mass-action kinetics. Our scheme encodes desired conditional distributions as the equilibrium distributions of reaction systems. To our knowledge this is a first scheme to...
Topics: Physics, Molecular Networks, Condensed Matter, Adaptation and Self-Organizing Systems, Biological...
Source: http://arxiv.org/abs/1704.01733
Arxiv.org
by Alborz Alavian; Michael C. Rotkowitz
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A seminal result in decentralized control is the development of fixed modes by Wang and Davison in 1973 - that plant modes which cannot be moved with a static decentralized controller cannot be moved by a dynamic one either, and that the other modes which can be moved can be shifted to any chosen location with arbitrary precision. These results were developed for perfectly decentralized, or block diagonal, information structure, where each control input may only depend on a single corresponding...
Topics: Systems and Control, Computing Research Repository
Source: http://arxiv.org/abs/1704.01674
Arxiv.org
by A. A. Mishra; G. Iaccarino
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In this investigation, we outline an enveloping models methodology for estimating structural uncertainty bounds on RANS closures. This methodology incorporates both eigenvalue and eigenvector perturbations in the spectral representation of the Reynolds stress tensor. The underlying rationale of this enveloping models methodology are explicated in detail and the mathematical nuances are outlined. This methodology is validated via its application to a canonical case of separated turbulent flow,...
Topics: Fluid Dynamics, Physics
Source: http://arxiv.org/abs/1704.01699
Arxiv.org
by Salem Ben Said; Jean-Louis Clerc; Khalid Koufany
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For a simple real Jordan algebra $V,$ a family of bi-differential operators from $\mathcal{C}^\infty(V\times V)$ to $\mathcal{C}^\infty(V)$ is constructed. These operators are covariant under the rational action of the conformal group of $V.$ They generalize the classical {\em Rankin-Cohen} brackets (case $V=\mathbb{R}$).
Topics: Representation Theory, Mathematics
Source: http://arxiv.org/abs/1704.01817
Arxiv.org
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Artificial neural networks have been successfully applied to a variety of machine learning tasks, including image recognition, semantic segmentation, and machine translation. However, few studies fully investigated ensembles of artificial neural networks. In this work, we investigated multiple widely used ensemble methods, including unweighted averaging, majority voting, the Bayes Optimal Classifier, and the (discrete) Super Learner, for image recognition tasks, with deep neural networks as...
Topics: Computer Vision and Pattern Recognition, Learning, Computing Research Repository, Machine Learning,...
Source: http://arxiv.org/abs/1704.01664
We prove that in Riemannian manifolds the $k$-th Steklov eigenvalue on a domain and the square root of the $k$-th Laplacian eigenvalue on its boundary can be mutually controlled in terms of the maximum principal curvature of the boundary under sectional curvature conditions. As an application, we derive a Weyl-type upper bound for Steklov eigenvalues. A Pohozaev-type identity for harmonic functions on the domain and the min-max variational characterization of both eigenvalues are important...
Topics: Spectral Theory, Differential Geometry, Mathematics
Source: http://arxiv.org/abs/1704.02073
Arxiv.org
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We consider a robotic vehicle tasked with gathering information by visiting a set of spatially-distributed data sources, the locations of which are not known a priori, but are discovered on the fly. We assume a first-order robot dynamics involving drift and that the locations of the data sources are Poisson-distributed. In this setting, we characterize the performance of the robot in terms of its sensing, agility, and computation capabilities. More specifically, the robot's performance is...
Topics: Systems and Control, Computing Research Repository, Robotics
Source: http://arxiv.org/abs/1704.02075
Arxiv.org
by Ari Kobren; Nicholas Monath; Akshay Krishnamurthy; Andrew McCallum
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Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical clustering that scales to both massive N and K--a problem setting we term extreme clustering. Our algorithm efficiently routes new data points to the leaves of an incrementally-built tree. Motivated by the desire for both accuracy and speed, our approach performs tree rotations for the sake of...
Topics: Learning, Machine Learning, Statistics, Computing Research Repository
Source: http://arxiv.org/abs/1704.01858
Arxiv.org
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In this study we refine a CME model presented in an earlier study on the global energetics of solar flares and associated CMEs, and apply it to all (860) GOES M- and X-class flare events observed during the first 7 years (2010-2016) of the Solar Dynamics Observatory (SDO) mission, which doubles the statistics of the earlier study. The model refinements include: (1) the CME geometry in terms of a 3D sphere undergoing self-similar adiabatic expansion; (2) the inclusion of solar gravitational...
Topics: Solar and Stellar Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1704.01993
Arxiv.org
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By using the De Giorgi iteration method we will give a new simple proof of the recent result of B.Kotschwar, O.Munteanu, J.Wang [KMW] and N.Sesum [S] on the local boundedness of the Riemmanian curvature tensor of solutions of Ricci flow in terms of its inital value on a given ball and a local uniform bound on the Ricci curvature.
Topics: Differential Geometry, Analysis of PDEs, Mathematics
Source: http://arxiv.org/abs/1704.02209
Arxiv.org
by Camille Avestruz; Nan Li; Matthew Lightman; Thomas E. Collett; Wentao Luo
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Gravitational lensing directly probes the underlying mass distribution of lensing systems, the high redshift universe, and cosmological models. The advent of large scale surveys such as the Large Synoptic Sky Telescope (LSST) and Euclid has prompted a need for automatic and efficient identification of strong lensing systems. We present (1) a strong lensing identification pipeline, and (2) a mock LSST dataset with strong galaxy-galaxy lenses. In this first application, we employ a fast feature...
Topics: Instrumentation and Methods for Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1704.02322
Arxiv.org
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Cells receive signaling molecules by receptors and relay the information via sensory networks so that they can respond properly depending on the type of signals. Recent studies show that cells can extract multi-dimensional information from dynamical concentration patterns of signaling molecules. Here we study how cells generally and optimally process multi-dimensional information embedded in dynamical patterns through biochemical networks. Considering a deterministic limit, we model the...
Topics: Physics, Molecular Networks, Quantitative Biology, Biological Physics
Source: http://arxiv.org/abs/1704.02564
The novel nonlinear dispersive Gross-Pitaevskii (GP) mean-field model with the space-modulated nonlinearity and potential (called GP(m, n) equation) is investigated in this paper. By using self-similar transformations and some powerful methods, we obtain some families of novel envelope compacton-like solutions spikon-like solutions to the GP(n, n) (n>1) equation. These solutions possess abundant localized structures because of infinite choices of the self-similar function X(x). In...
Topics: Pattern Formation and Solitons, Nonlinear Sciences
Source: http://arxiv.org/abs/1704.02559
Arxiv.org
by Guy Metivier; Tatsuo Nishitani
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We consider the Cauchy problem for first order systems. Assuming that the set of the singular points of the characteristic variety is a smooth manifold and the characteristic values are real and semi-simple we introduce a new class which is strictly hyperbolic in the transverse direction to the characteristic manifold. We prove that if the characteristic manifold is either involutive or symplectic then these transversally strictly hyperbolic systems are strongly hyperbolic. On the other hand if...
Topics: Analysis of PDEs, Mathematics
Source: http://arxiv.org/abs/1704.02558
Arxiv.org
by N. S. Papageorgiou; V. D. Rădulescu; D. D. Repovš
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We consider a parametric semilinear Robin problem driven by the Laplacian plus an indefinite potential. The reaction term involves competing nonlinearities. More precisely, it is the sum of a parametric sublinear (concave) term and a superlinear (convex) term. The superlinearity is not expressed via the Ambrosetti-Rabinowitz condition. Instead, a more general hypothesis is used. We prove a bifurcation-type theorem describing the set of positive solutions as the parameter $\lambda > 0$...
Topics: Analysis of PDEs, Mathematics
Source: http://arxiv.org/abs/1704.02726
Arxiv.org
by Lu Lu; Qiongxiang Huang; Xueyi Huang
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Let $\partial^L_1\ge\partial^L_2\ge\cdots\ge\partial^L_n$ be the distance Laplacian eigenvalues of a connected graph $G$ and $m(\partial^L_i)$ the multiplicity of $\partial^L_i$. It is well known that the graphs with $m(\partial^L_1)=n-1$ are complete graphs. Recently, the graphs with $m(\partial^L_1)=n-2$ have been characterized by Celso et al. In this paper, we completely determine the graphs with $m(\partial^L_1)=n-3$.
Topics: Combinatorics, Mathematics
Source: http://arxiv.org/abs/1704.03122
Arxiv.org
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In this paper we investigate necessary conditions of optimality for infinite-horizon optimal control problems with overtaking optimality as an optimality criterion. For the case of local Lipschitz continuity of the payoff function, we construct a boundary condition on the co-state arc that is necessary for the optimality. We also show that, under additional assumptions on the payoff function's asymptotic behavior, the Pontryagin Maximum Principle with this condition becomes a complete system of...
Topics: Optimization and Control, Mathematics
Source: http://arxiv.org/abs/1704.03053
Arxiv.org
by Pranjal Bordia; Henrik Lüschen; Sebastian Scherg; Sarang Gopalakrishnan; Michael Knap; Ulrich Schneider; Immanuel Bloch
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In a many-body localized (MBL) quantum system, the ergodic hypothesis breaks down completely, giving rise to a fundamentally new many-body phase. Whether and under which conditions MBL can occur in higher dimensions remains an outstanding challenge both for experiments and theory. Here, we experimentally explore the relaxation dynamics of an interacting gas of fermionic potassium atoms loaded in a two-dimensional optical lattice with different quasi-periodic potentials along the two directions....
Topics: Quantum Gases, Condensed Matter, Disordered Systems and Neural Networks, Strongly Correlated...
Source: http://arxiv.org/abs/1704.03063
Arxiv.org
by D. D. McNutt; A. A. Coley; A. Forget
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In this paper we introduce an algorithm to determine the equivalence of five dimensional spacetimes, which generalizes the Karlhede algorithm for four dimensional general relativity. As an alternative to the Petrov type classification, we employ the alignment classification to algebraically classify the Weyl tensor. To illustrate the algorithm we discuss three examples: the singly rotating Myers-Perry solution, the Kerr (anti) de Sitter solution, and the rotating black ring solution. We briefly...
Topics: General Relativity and Quantum Cosmology, Differential Geometry, Mathematics
Source: http://arxiv.org/abs/1704.03061
Arxiv.org
by Kai Zhang; Wangmeng Zuo; Shuhang Gu; Lei Zhang
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Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various inverse problems in low-level vision. Typically, those two kinds of methods have their respective merits and drawbacks, e.g., model-based optimization methods are flexible for handling different inverse problems but are usually time-consuming with sophisticated priors for the purpose of good performance; in the meanwhile, discriminative learning methods have fast...
Topics: Computing Research Repository, Computer Vision and Pattern Recognition
Source: http://arxiv.org/abs/1704.03264
Arxiv.org
by Herbert Egger; Thomas Kugler; Björn Liljegren-Sailer; Nicole Marheineke; Volker Mehrmann
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We consider the discretization and subsequent model reduction of a system of partial differential-algebraic equations describing the propagation of pressure waves in a pipeline network. Important properties like conservation of mass, dissipation of energy, passivity, existence of steady states, and exponential stability can be preserved by an appropriate semi-discretization in space via a mixed finite element method and also during the further dimension reduction by structure preserving...
Topics: Numerical Analysis, Mathematics
Source: http://arxiv.org/abs/1704.03206
Arxiv.org
by Wolfgang König; András Tóbiás
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We investigate a probabilistic model for routing in relay-augmented multihop ad-hoc communication networks, where each user sends one message to the base station. Given the (random) user locations, we weigh the family of random, uniformly distributed message trajectories by an exponential probability weight, favouring trajectories with low interference (measured in terms of signal-to-interference ratio) and trajectory families with little congestion (measured by how many pairs of hops use the...
Topics: Probability, Mathematics
Source: http://arxiv.org/abs/1704.03499
Arxiv.org
by Joel D. Cox; Iván Silveiro; F. Javier García de Abajo
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The ability of graphene to support long-lived, electrically tunable plasmons that interact strongly with light, combined with its highly nonlinear optical response, has generated great expectations for application of the atomically-thin material to nanophotonic devices. These expectations are mainly reinforced by classical analyses performed using the response derived from extended graphene, neglecting finite-size and nonlocal effects that become important when the carbon layer is structured on...
Topics: Mesoscale and Nanoscale Physics, Condensed Matter
Source: http://arxiv.org/abs/1704.03440
Arxiv.org
by E. Barradas-Guevara; O. Felix-Beltran; F. Gonzalez-Canales; M. Zeleny-Mora
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In this work we propose an extension of Standard Model in which we consider the model 2HDM type-III plus massive neutrinos and the horizontal flavor symmetry $S_{3}$ $(\nu$2HDM-III$\otimes S_3)$. In the above framework and with the explicit breaking of flavor symmetry $S_{3}$, the Yukawa matrices in the flavor adapted basis are represented by means of a matrix with two texture zeros. Also, the active neutrinos are considered as Majorana particles and their masses are generated through type I...
Topic: High Energy Physics - Phenomenology
Source: http://arxiv.org/abs/1704.03474
Arxiv.org
by Sudheesh Singanamalla; Michael Peter Christen
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Modern social networks have become sources for vast quantities of data. Having access to such big data can be very useful for various researchers and data scientists. In this paper we describe Loklak, an open source distributed peer to peer crawler and scraper for supporting such research on platforms like Twitter, Weibo and other social networks. Social networks such as Twitter and Weibo pose various limitations to the user on the rate at which one could freely collect such data for research....
Topics: Information Retrieval, Computing Research Repository
Source: http://arxiv.org/abs/1704.03624
Arxiv.org
by Hao Yin; Austin R. Benson; Jure Leskovec
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A fundamental property of complex networks is the tendency for edges to cluster. The extent of the clustering is typically quantified by the clustering coefficient, which is the probability that a length-2 path is closed, i.e., induces a triangle in the network. However, higher-order structures beyond triangles are crucial to understanding complex networks, and the clustering behavior with respect to such higher-order patterns is not well understood. Here we introduce higher-order clustering...
Topics: Physics, Condensed Matter, Physics and Society, Computing Research Repository, Social and...
Source: http://arxiv.org/abs/1704.03913
Arxiv.org
by Qiang Wang; Jin Gao; Junliang Xing; Mengdan Zhang; Weiming Hu
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Discriminant Correlation Filters (DCF) based methods now become a kind of dominant approach to online object tracking. The features used in these methods, however, are either based on hand-crafted features like HoGs, or convolutional features trained independently from other tasks like image classification. In this work, we present an end-to-end lightweight network architecture, namely DCFNet, to learn the convolutional features and perform the correlation tracking process simultaneously....
Topics: Computing Research Repository, Computer Vision and Pattern Recognition
Source: http://arxiv.org/abs/1704.04057
Arxiv.org
by Zh. Devizorova; S. Mironov
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We show that the peculiarities of the electron band structure strongly affect the spin-valve effect in heterostructures consisting of a superconductor (S) and two ferromagnetic layers F1 and F2. For the S/F1/F2 systems the energy shift between the electron bands in the S and F2 layers determines wether the critical temperature $T_c$ of the superconductor increases or decreases as a function of the angle $\theta$ between the magnetic moments in the ferromagnets. In the case of half-metallic F2...
Topics: Condensed Matter, Superconductivity
Source: http://arxiv.org/abs/1704.04113
Arxiv.org
by Jialin Hong; Chuying Huang; Xu Wang
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We consider Hamiltonian systems driven by multi-dimensional Gaussian processes in rough path sense, which include fractional Brownian motions with Hurst parameter $H\in(1/4,1/2]$. We indicate that the phase flow preserves the symplectic structure almost surely and this property could be inherited by symplectic Runge--Kutta methods, which are implicit methods in general. If the vector fields belong to $Lip^{\gamma}$, we obtain the solvability of Runge--Kutta methods and the pathwise convergence...
Topics: Probability, Numerical Analysis, Mathematics
Source: http://arxiv.org/abs/1704.04144
Arxiv.org
by R. K. Singh; Shradha Mishra
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In this study the effect of parallel and random-sequential updates on the dynamical properties of flocks in one dimension is considered. It is found that the frequency of directional switching is increased for random-sequential updates as compared to a parallel update. The nature of disorder to order transition is also affected by the difference of updating mechanism: discontinuous for parallel and continuous for random-sequential updates.
Topics: Statistical Mechanics, Condensed Matter
Source: http://arxiv.org/abs/1704.04041
Arxiv.org
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In this paper, we produce a cellular motivic spectrum of motivic modular forms over $\R$ and $\C$, answering positively to a conjecture of Dan Isaksen. This spectrum is constructed to have the appropriate cohomology, as a module over the relevant motivic Steenrod algebra. We first produce a $\G$-equivariant version of this spectrum, and then use a machinery to construct a motivic spectrum from an equivariant one. We believe that this machinery will be of independent interest.
Topics: Algebraic Topology, Mathematics
Source: http://arxiv.org/abs/1704.04547
Arxiv.org
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The $(1+(\lambda,\lambda))$ genetic algorithm, first proposed at GECCO 2013, showed a surprisingly good performance on so me optimization problems. The theoretical analysis so far was restricted to the OneMax test function, where this GA profited from the perfect fitness-distance correlation. In this work, we conduct a rigorous runtime analysis of this GA on random 3-SAT instances in the planted solution model having at least logarithmic average degree, which are known to have a weaker fitness...
Topics: Neural and Evolutionary Computing, Computing Research Repository
Source: http://arxiv.org/abs/1704.04366
Arxiv.org
by R. A. Ryutin; A. A. Godizov; V. A. Petrov
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ExDiff is a Monte Carlo event generator for simulation of Exclusive Diffractive processes in proton-proton collisions. The present version includes reactions: elastic scattering $pp\to pp$ at 7, 8, 13, 14~TeV; $pp\to p+R+p$, $R = f_0(1710),\, f_2(1950)$ at 13~TeV. In the future versions many processes of Central Exclusive Diffractive Production will be added.
Topic: High Energy Physics - Phenomenology
Source: http://arxiv.org/abs/1704.04387
Arxiv.org
by Alexander Kuhnle; Ann Copestake
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We introduce a novel framework for evaluating multimodal deep learning models with respect to their language understanding and generalization abilities. In this approach, artificial data is automatically generated according to the experimenter's specifications. The content of the data, both during training and evaluation, can be controlled in detail, which enables tasks to be created that require true generalization abilities, in particular the combination of previously introduced concepts in...
Topics: Artificial Intelligence, Computing Research Repository, Computer Vision and Pattern Recognition,...
Source: http://arxiv.org/abs/1704.04517
Arxiv.org
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We consider a deterministic game with alternate moves and complete information, of which the issue is always the victory of one of the two opponents. We assume that this game is the realization of a random model enjoying some independence properties. We consider algorithms in the spirit of Monte-Carlo Tree Search, to estimate at best the minimax value of a given position: it consists in simulating, successively, $n$ well-chosen matches, starting from this position. We build an algorithm, which...
Topics: Probability, Mathematics
Source: http://arxiv.org/abs/1704.04612
Arxiv.org
by Flaviano Morone; Kevin Roth; Byungjoon Min; H. Eugene Stanley; Hernán A. Makse
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Efficient complex systems have a modular structure, but modularity does not guarantee robustness, because efficiency also requires an ingenious interplay of the interacting modular components. The human brain is the elemental paradigm of an efficient robust modular system interconnected as a network of networks (NoN). Understanding the emergence of robustness in such modular architectures from the interconnections of its parts is a long-standing challenge that has concerned many scientists....
Topics: Physics, Quantitative Biology, Neurons and Cognition, Physics and Society
Source: http://arxiv.org/abs/1704.04626
Arxiv.org
by Gianluca Mastrantonio; Giovanna Jona Lasinio; Alan E. Gelfand
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We consider modeling of angular or directional data viewed as a linear variable wrapped onto a unit circle. In particular, we focus on the spatio-temporal context, motivated by a collection of wave directions obtained as computer model output developed dynamically over a collection of spatial locations. We propose a novel wrapped skew Gaussian process which enriches the class of wrapped Gaussian process. The wrapped skew Gaussian process enables more flexible marginal distributions than the...
Topics: Statistics, Methodology
Source: http://arxiv.org/abs/1704.05032
Arxiv.org
by Y. Ao; Y. Matsuda; C. Henkel; D. Iono; D. M. Alexander; S. C. Chapman; J. Geach; B. Hatsukade; M. Hayes; N. K. Hine; Y. Kato; R. Kawabe; K. Kohno; M. Kubo; M. Lehnert; M. Malkan; K. M. Menten; T. Nagao; R. P. Norris; M. Ouchi; T. Saito; Y. Tamura; Y. Taniguchi; H. Umehata; A. Weiss
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We study the heating mechansims and Ly{\alpha} escape fractions of 35 Ly{\alpha} blobs (LABs) at z = 3.1 in the SSA22 field, using the submillimeter (submm) data from the ALMA and the SCUBA-2 on the JCMT, and the radio data from the VLA. With ALMA and JCMT/SCUBA-2, we have identified dust continuum sources in 11 out of 35 LABs in the SSA22 field, with star formation rates (SFRs) of above 100Msun/yr. Using VLA, we have detected likely radio counterparts in 9 out of 29 LABs in the SSA22 field. We...
Topics: Astrophysics of Galaxies, Astrophysics
Source: http://arxiv.org/abs/1704.05101
Arxiv.org
by Michel Laurent; Arnaldo Nogueira
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Let $0
Topics: Dynamical Systems, Number Theory, Mathematics
Source: http://arxiv.org/abs/1704.05130
Arxiv.org
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In a recent paper \cite{Farnsworth}, it is argued that conformal invariance in flat spacetime implies Weyl invariance in a general curved background for unitary theories and possible anomalies in the Weyl variation of scalar operators are identified. We show that these anomalies do not exist.
Topic: High Energy Physics - Theory
Source: http://arxiv.org/abs/1704.05210
Arxiv.org
by J. Kishi; Y. Ohtsubo; K. Yaji; A. Harasawa; F. Komori; S. Shin; J. E. Rault; P. Le Fèvre; F. Bertran; A. Taleb-Ibrahimi; M. Nurmamat; H. Yamane; S. Ideta; K. Tanaka; S. Kimura
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One-dimensional (1D) electronic states were discovered on 1D surface atomic structure of Bi fabricated on semiconductor InSb(001) substrates by angle-resolved photoelectron spectroscopy (ARPES). The 1D state showed steep, Dirac-cone-like dispersion along the 1D atomic structure with a finite direct bandgap opening as large as 150 meV. Moreover, spin-resolved ARPES revealed the spin polarization of the 1D unoccupied states as well as that of the occupied states, the orientation of which inverted...
Topics: Materials Science, Condensed Matter
Source: http://arxiv.org/abs/1704.05258
Arxiv.org
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When modern efforts for radio detection of cosmic rays started about a decade ago, hopes were high but the true potential was unknown. Since then, we have achieved a detailed understanding of the radio emission physics and have consequently succeeded in developing sophisticated detection schemes and analysis approaches. In particular, we have demonstrated that the important air-shower parameters arrival direction, particle energy and depth of shower maximum can be reconstructed reliably from...
Topics: Instrumentation and Methods for Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1704.05348
Arxiv.org
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The properties of curl and gradient of divergence operators in the domain $G$ of three-dimensional space are described. The self-conjugacy of these operators in the subspaces $\mathbf{L}_{2}(G) $ and the basis property of the system of eigenfunctions are discussed. Exact formulas are founded for solving boundary value problems in a ball and the conditions for the decomposition of vector functions into Fourier series in eigenfunctions of the curl and the gradient of divergence operators.
Topics: Mathematical Physics, Functional Analysis, Mathematics
Source: http://arxiv.org/abs/1704.05699
Arxiv.org
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By using the Gauss-Bonnet theorem, the bending angle of light in a static, spherically symmetric and asymptotically flat spacetime has been recently discussed, especially by taking account of the finite distance from a lens object to a light source and a receiver [Ishihara, Suzuki, Ono, Asada, Phys. Rev. D 95, 044017 (2017)]. We discuss a possible extension of the method of calculating the bending angle of light to stationary, axisymmetric and asymptotically flat spacetimes. For this purpose,...
Topics: General Relativity and Quantum Cosmology, Cosmology and Nongalactic Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1704.05615
Arxiv.org
by Wanchun Liu; Xiangyun Zhou; Salman Durrani; Petar Popovski
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In this paper, we propose a novel splitting receiver, which involves joint processing of coherently and non-coherently received signals. Using a passive RF power splitter, the received signal at each receiver antenna is split into two streams which are then processed by a conventional coherent detection (CD) circuit and a power-detection (PD) circuit, respectively. The streams of the signals from all the receiver antennas are then jointly used for information detection. We show that the...
Topics: Information Theory, Computing Research Repository, Mathematics
Source: http://arxiv.org/abs/1704.05614
Arxiv.org
by Pujian Mao; Jun-Bao Wu
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Recently, the leading soft gluon theorem with single soft emission was shown to be the Ward identity of a two dimensional $\cal G$-Kac-Moody symmetry. In this note, we show that the leading soft gluon theorem can be interpreted as the Ward identity for the asymptotic symmetries of non-Abelian gauge theory. We further argue that the sub-leading soft gluon theorem can follow from the same symmetry.
Topic: High Energy Physics - Theory
Source: http://arxiv.org/abs/1704.05740
Arxiv.org
by Satya N. Majumdar; Philippe Mounaix; Gregory Schehr
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We consider a one-dimensional random walk (RW) with a continuous and symmetric jump distribution, $f(\eta)$, characterized by a L\'evy index $\mu \in (0,2]$, which includes standard random walks ($\mu=2$) and L\'evy flights ($0
Topics: Statistical Mechanics, Condensed Matter
Source: http://arxiv.org/abs/1704.05940
Arxiv.org
by Hideyuki Miyahara; Koji Tsumura; Yuki Sughiyama
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Maximum likelihood estimation (MLE) is one of the most important methods in machine learning, and the expectation-maximization (EM) algorithm is often used to obtain maximum likelihood estimates. However, EM heavily depends on initial configurations and fails to find the global optimum. On the other hand, in the field of physics, quantum annealing (QA) was proposed as a novel optimization approach. Motivated by QA, we propose a quantum annealing extension of EM, which we call the deterministic...
Topics: Physics, Condensed Matter, Machine Learning, Statistical Mechanics, Computational Physics,...
Source: http://arxiv.org/abs/1704.05822
Arxiv.org
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We consider the distance to the nearest integer of f(p), where f is a quadratic polynomial with irrational leading coefficient. This distance is very small as a function of p, for infinitely many primes p. We give a 14% improvement in the exponent that measures the distance, compared with the most recent result in the literature.
Topics: Number Theory, Mathematics
Source: http://arxiv.org/abs/1704.05898
Arxiv.org
by Cédric Troessaert
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We show how a global BMS4 algebra appears as the asymptotic symmetry algebra at spatial infinity. Using linearised theory, we then show that this global BMS4 algebra is the one introduced by Strominger as a symmetry of the S-matrix.
Topics: High Energy Physics - Theory, General Relativity and Quantum Cosmology
Source: http://arxiv.org/abs/1704.06223
Arxiv.org
by Max Gronke; Mark Dijkstra; Michael McCourt; S. Peng Oh
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Motivated by observational and theoretical work which both suggest very small scale ($\lesssim 1\,$pc) structure in the circum-galactic medium of galaxies and in other environments, we study Lyman-$\alpha$ (Ly$\alpha$) radiative transfer in an extremely clumpy medium with many "clouds" of neutral gas along the line of sight. While previous studies have typically considered radiative transfer through sightlines intercepting $\lesssim 10$ clumps, we explore the limit of a very large...
Topics: Astrophysics of Galaxies, Astrophysics
Source: http://arxiv.org/abs/1704.06278
Arxiv.org
by Tiago Pereira; Sebastian van Strien; Matteo Tanzi
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The aim of this paper is to rigorously study dynamics of Heterogeneously Coupled Maps (HCM). Such systems are determined by a network with heterogeneous degrees. Some nodes, called hubs, are very well connected while most nodes interact with few others. The local dynamics on each node is chaotic, coupled with other nodes according to the network structure. Such high-dimensional systems are hard to understand in full, nevertheless we are able to describe the system over exponentially large time...
Topics: Dynamical Systems, Mathematics
Source: http://arxiv.org/abs/1704.06163
Arxiv.org
by Behnam Pourhassan; Sudhaker Upadhyay; Mir Hameeda; Mir Faizal
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In this paper, we study thermodynamics of the cluster of galaxies under the effect of dynamical dark energy. We evaluate the configurational integral for interacting system of galaxies in an expanding universe by including the effects produced by the varying $\Lambda$. The gravitational partition function is obtained using this configuration integral. We obtain thermodynamics quantities in canonical ensemble which depend on time and investigate the second law of thermodynamics. We also...
Topics: General Relativity and Quantum Cosmology, High Energy Physics - Theory, Cosmology and Nongalactic...
Source: http://arxiv.org/abs/1704.06085
Arxiv.org
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A new solution to the strong CP problem with distinct experimental signatures at the LHC is proposed. It is based on the Yukawa interactions between mirror quarks, Standard Model (SM) quarks and Higgs singlets. (Mirror quarks and leptons which include non-sterile right-handed neutrinos whose Majorana masses are proportional to the electroweak scale, form the basis of the EW-$\nu_R$ model.) The aforementioned Yukawa couplings can in general be complex and can contribute to $Arg\, Det M$...
Topic: High Energy Physics - Phenomenology
Source: http://arxiv.org/abs/1704.06390
Arxiv.org
by E. S. Moiseev; S. A. Moiseev
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We demonstrate that a photon echo can be implemented by all-optical means using an array of on-chip high-finesse ring cavities whose parameters are chirped in such a way as to support equidistant spectra of cavity modes. When launched into such a system, a classical or quantum optical signal -- even a single-photon field -- becomes distributed between individual cavities, giving rise to prominent coherence echo revivals at well-defined delay times, controlled by the chirp of cavity parameters....
Topic: Quantum Physics
Source: http://arxiv.org/abs/1704.06471
Arxiv.org
by Giordano Mattoni; David J. Baek; Nicola Manca; Nils Verhagen; Lena F. Kourkoutis; Alessio Filippetti; Andrea D. Caviglia
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Interfaces between complex oxides constitute a unique playground for 2D electron systems (2DES), where superconductivity and magnetism can arise from combinations of bulk insulators. The 2DES at the LaAlO3/SrTiO3 interface is one of the most studied in this regard, and its origin is determined by both the presence of a polar field in LaAlO3 and the insurgence of point defects, such as oxygen vacancies and intermixed cations. These defects usually reside in the conduction channel and are...
Topics: Strongly Correlated Electrons, Materials Science, Condensed Matter
Source: http://arxiv.org/abs/1704.06522
Arxiv.org
by Julia Kreutzer; Artem Sokolov; Stefan Riezler
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Bandit structured prediction describes a stochastic optimization framework where learning is performed from partial feedback. This feedback is received in the form of a task loss evaluation to a predicted output structure, without having access to gold standard structures. We advance this framework by lifting linear bandit learning to neural sequence-to-sequence learning problems using attention-based recurrent neural networks. Furthermore, we show how to incorporate control variates into our...
Topics: Learning, Machine Learning, Statistics, Computing Research Repository, Computation and Language
Source: http://arxiv.org/abs/1704.06497
Arxiv.org
by Dmitry Ioffe; Senya Shlosman
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We study an effective model of microscopic facet formation for low temperature three dimensional microscopic Wulff crystals above the droplet condensation threshold. The model we consider is a 2+1 solid on solid surface coupled with high and low density bulk Bernoulli fields. At equilibrium the surface stays flat. Imposing a canonical constraint on excess number of particles forces the surface to "grow" through the sequence of spontaneous creations of macroscopic size monolayers. We...
Topics: Probability, Mathematics
Source: http://arxiv.org/abs/1704.06760
Arxiv.org
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This paper proposes the use of subspace tracking algorithms for performing MIMO channel estimation at millimeter wave (mmWave) frequencies. Using a subspace approach, we develop a protocol enabling the estimation of the right (resp. left) singular vectors at the transmitter (resp. receiver) side; then, we adapt the projection approximation subspace tracking with deflation (PASTd) and the orthogonal Oja (OOJA) algorithms to our framework and obtain two channel estimation algorithms. The hybrid...
Topics: Information Theory, Computing Research Repository, Mathematics
Source: http://arxiv.org/abs/1704.06765
Arxiv.org
by Johnny P. Greco; Jenny E. Greene; Adrian M. Price-Whelan; Alexie Leauthaud; Song Huang; Andy D. Goulding; Michael A. Strauss; Yutaka Komiyama; Robert H. Lupton; Satoshi Miyazaki; Masahiro Takada; Masayuki Tanaka; Tomonori Usuda
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We report the discovery of a diffuse stellar cloud with an angular extent $\gtrsim30^{\prime\prime}$, which we term "Sumo Puff", in data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). While we do not have a redshift for this object, it is in close angular proximity to a post-merger galaxy at redshift $z=0.0431$ and is projected within a few virial radii (assuming similar redshifts) of two other ${\sim}L_\star$ galaxies, which we use to bracket a potential redshift...
Topics: Astrophysics of Galaxies, Astrophysics, Cosmology and Nongalactic Astrophysics
Source: http://arxiv.org/abs/1704.06681
Arxiv.org
by Weixin Cai; Nima S. Hejazi; Alan E. Hubbard
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Current statistical inference problems in areas like astronomy, genomics, and marketing routinely involve the simultaneous testing of thousands -- even millions -- of null hypotheses. For high-dimensional multivariate distributions, these hypotheses may concern a wide range of parameters, with complex and unknown dependence structures among variables. In analyzing such hypothesis testing procedures, gains in efficiency and power can be achieved by performing variable reduction on the set of...
Topics: Machine Learning, Statistics, Methodology
Source: http://arxiv.org/abs/1704.07008
Arxiv.org
by Hanwen Wu; Hongwei Xi
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Session types offer a type-based discipline for enforcing communication protocols in distributed programming. We have previously formalized simple session types in the setting of multi-threaded $\lambda$-calculus with linear types. In this work, we build upon our earlier work by presenting a form of dependent session types (of DML-style). The type system we formulate provides linearity and duality guarantees with no need for any runtime checks or special encodings. Our formulation of dependent...
Topics: Programming Languages, Computing Research Repository, Distributed, Parallel, and Cluster Computing
Source: http://arxiv.org/abs/1704.07004
Arxiv.org
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Visual question answering (QA) has attracted a lot of attention lately, seen essentially as a form of (visual) Turing test that artificial intelligence should strive to achieve. In this paper, we study a crucial component of this task: how can we design good datasets for the task? We focus on the design of multiple-choice based datasets where the learner has to select the right answer from a set of candidate ones including the target (i.e. the correct one) and the decoys (i.e. the incorrect...
Topics: Learning, Artificial Intelligence, Computing Research Repository, Computer Vision and Pattern...
Source: http://arxiv.org/abs/1704.07121
Arxiv.org
by Michele Bolognesi; Alex Massarenti
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We study the geometry of some varieties of sums of powers related to the Klein quartic. Thanks to preceding results of Mukai and of ourselves, this allows us to describe the birational geometry of certain moduli spaces of abelian surfaces. In particular we show that $\mathcal{A}_2(1,7)^{-}_{sym}$ is unirational by showing that it admits a dominant morphism from a conic bundle.
Topics: Algebraic Geometry, Mathematics
Source: http://arxiv.org/abs/1704.06964
Arxiv.org
by H. Takatsu; T. Taniguchi; S. Kittaka; T. Sakakibara; H. Kadowaki
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The low-temperature thermodynamic properties of the frustrated pyrochlore Tb$_{2+x}$Ti$_{2-x}$O$_{7+y}$ have been studied using the single crystal of $x=0.005$ sitting in a long range ordered phase in the $x$-$T$ phase diagram. We observed that the specific heat exhibits a minimum around 2 K and slightly increases on cooling, similar to a Schottky-like anomaly for canonical spin ices. A clear specific-heat peak observed at $T_{\rm c} = 0.53$ K is ascribable to the phase transition to a...
Topics: Strongly Correlated Electrons, Condensed Matter
Source: http://arxiv.org/abs/1704.07119
Arxiv.org
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Devising efficient algorithms that track the optimizers of continuously varying convex optimization problems is key in many applications. A possible strategy is to sample the time-varying problem at constant rate and solve the resulting time-invariant problem. This can be too computationally burdensome in many scenarios. An alternative strategy is to set up an iterative algorithm that generates a sequence of approximate optimizers, which are refined every time a new sampled time-invariant...
Topics: Optimization and Control, Mathematics
Source: http://arxiv.org/abs/1704.07338