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1,803.06667
Subleading-power corrections to the radiative leptonic $B \to \gamma \ell \nu$ decay in QCD
Applying the method of light-cone sum rules with photon distribution amplitudes, we compute the subleading-power correction to the radiative leptonic $B \to \gamma \ell \nu$ decay, at next-to-leading order in QCD for the twist-two contribution and at leading order in $\alpha_s$ for the higher-twist contributions, induced by the hadronic component of the collinear photon. The leading-twist hadronic photon effect turns out to preserve the symmetry relation between the two $B \to \gamma$ form factors due to the helicity conservation, however, the higher-twist hadronic photon corrections can yield symmetry-breaking effect already at tree level in QCD. Using the conformal expansion of photon distribution amplitudes with the non-perturbative parameters estimated from QCD sum rules, the twist-two hadronic photon contribution can give rise to approximately 30\% correction to the leading-power "direct photon" effect computed from the perturbative QCD factorization approach. In contrast, the subleading-power corrections from the higher-twist two-particle and three-particle photon distribution amplitudes are estimated to be of ${\cal O} (3 \sim 5\%)$ with the light-cone sum rule approach. We further predict the partial branching fractions of $B \to \gamma \ell \nu $ with a photon-energy cut $E_{\gamma} \geq E_{\rm cut}$, which are of interest for determining the inverse moment of the leading-twist $B$-meson distribution amplitude thanks to the forthcoming high-luminosity Belle II experiment at KEK.
hep-ph hep-ex hep-lat
applying the method of lightcone sum rules with photon distribution amplitudes we compute the subleadingpower correction to the radiative leptonic b to gamma ell nu decay at nexttoleading order in qcd for the twisttwo contribution and at leading order in alpha_s for the highertwist contributions induced by the hadronic component of the collinear photon the leadingtwist hadronic photon effect turns out to preserve the symmetry relation between the two b to gamma form factors due to the helicity conservation however the highertwist hadronic photon corrections can yield symmetrybreaking effect already at tree level in qcd using the conformal expansion of photon distribution amplitudes with the nonperturbative parameters estimated from qcd sum rules the twisttwo hadronic photon contribution can give rise to approximately 30 correction to the leadingpower direct photon effect computed from the perturbative qcd factorization approach in contrast the subleadingpower corrections from the highertwist twoparticle and threeparticle photon distribution amplitudes are estimated to be of cal o 3 sim 5 with the lightcone sum rule approach we further predict the partial branching fractions of b to gamma ell nu with a photonenergy cut e_gamma geq e_rm cut which are of interest for determining the inverse moment of the leadingtwist bmeson distribution amplitude thanks to the forthcoming highluminosity belle ii experiment at kek
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1,803.06668
Local derivations on Solvable Lie algebras
We show that in the class of solvable Lie algebras there exist algebras which admit local derivations which are not ordinary derivation and also algebras for which every local derivation is a derivation. We found necessary and sufficient conditions under which any local derivation of solvable Lie algebras with abelian nilradical and one-dimensional complementary space is a derivation. Moreover, we prove that every local derivation on a finite-dimensional solvable Lie algebra with model nilradical and maximal dimension of complementary space is a derivation.
math.RA
we show that in the class of solvable lie algebras there exist algebras which admit local derivations which are not ordinary derivation and also algebras for which every local derivation is a derivation we found necessary and sufficient conditions under which any local derivation of solvable lie algebras with abelian nilradical and onedimensional complementary space is a derivation moreover we prove that every local derivation on a finitedimensional solvable lie algebra with model nilradical and maximal dimension of complementary space is a derivation
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1,803.06669
Testing for equal correlation matrices with application to paired gene expression data
We present a novel method for testing the hypothesis of equality of two correlation matrices using paired high-dimensional datasets. We consider test statistics based on the average of squares, maximum and sum of exceedances of Fisher transform sample correlations and we derive approximate null distributions using asymptotic and non-parametric distributions. Theoretical results on the power of the tests are presented and backed up by a range of simulation experiments. We apply the methodology to a case study of colorectal tumour gene expression data with the aim of discovering biological pathway lists of genes that present significantly different correlation matrices on healthy and tumour samples. We find strong evidence for a large part of the pathway lists correlation matrices to change among the two medical conditions.
stat.ME
we present a novel method for testing the hypothesis of equality of two correlation matrices using paired highdimensional datasets we consider test statistics based on the average of squares maximum and sum of exceedances of fisher transform sample correlations and we derive approximate null distributions using asymptotic and nonparametric distributions theoretical results on the power of the tests are presented and backed up by a range of simulation experiments we apply the methodology to a case study of colorectal tumour gene expression data with the aim of discovering biological pathway lists of genes that present significantly different correlation matrices on healthy and tumour samples we find strong evidence for a large part of the pathway lists correlation matrices to change among the two medical conditions
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1,803.0667
Stone-type representations and dualities for varieties of bisemilattices
In this article we will focus our attention on the variety of distributive bisemilattices and some linguistic expansions thereof: bounded, De Morgan, and involutive bisemilattices. After extending Balbes' representation theorem to bounded, De Morgan, and involutive bisemilattices, we make use of Hartonas-Dunn duality and introduce the categories of 2spaces and 2spaces$^{\star}$. The categories of 2spaces and 2spaces$^{\star}$ will play with respect to the categories of distributive bisemilattices and De Morgan bisemilattices, respectively, a role analogous to the category of Stone spaces with respect to the category of Boolean algebras. Actually, the aim of this work is to show that these categories are, in fact, dually equivalent.
math.LO
in this article we will focus our attention on the variety of distributive bisemilattices and some linguistic expansions thereof bounded de morgan and involutive bisemilattices after extending balbes representation theorem to bounded de morgan and involutive bisemilattices we make use of hartonasdunn duality and introduce the categories of 2spaces and 2spacesstar the categories of 2spaces and 2spacesstar will play with respect to the categories of distributive bisemilattices and de morgan bisemilattices respectively a role analogous to the category of stone spaces with respect to the category of boolean algebras actually the aim of this work is to show that these categories are in fact dually equivalent
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1,803.06671
On some properties of PBZ*-lattices
We continue the algebraic investigation of PBZ*-lattices, a notion introduced in [12] in order to obtain insights into the structure of certain algebras of effects of a Hilbert space, lattice-ordered under the spectral ordering.
math.LO
we continue the algebraic investigation of pbzlattices a notion introduced in 12 in order to obtain insights into the structure of certain algebras of effects of a hilbert space latticeordered under the spectral ordering
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1,803.06672
Topological phases and edge states in a non-Hermitian trimerized optical lattice
Topologically engineered optical materials support robust light transport. Herein, the investigated non-Hermitian lattice is trimerized and inhomogeneously coupled using uniform intracell coupling. The topological properties of the coupled waveguide lattice are evaluated, the PT-symmetric phase of a PT-symmetric lattice can have different topologies; the edge states depend on the lattice size, boundary configuration, and competition between the coupling and degree of non-Hermiticity. The topologically nontrivial region extends in the presence of periodic gain and loss. The nonzero geometric phases accumulated by the Bloch bands indicate the existence of topologically protected edge states between the band gaps. The unidirectional amplification and attenuation zero modes appear above a threshold degree of non-Hermiticity, which facilitate the development of a robust optical diode.
cond-mat.mes-hall quant-ph
topologically engineered optical materials support robust light transport herein the investigated nonhermitian lattice is trimerized and inhomogeneously coupled using uniform intracell coupling the topological properties of the coupled waveguide lattice are evaluated the ptsymmetric phase of a ptsymmetric lattice can have different topologies the edge states depend on the lattice size boundary configuration and competition between the coupling and degree of nonhermiticity the topologically nontrivial region extends in the presence of periodic gain and loss the nonzero geometric phases accumulated by the bloch bands indicate the existence of topologically protected edge states between the band gaps the unidirectional amplification and attenuation zero modes appear above a threshold degree of nonhermiticity which facilitate the development of a robust optical diode
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1,803.06673
Damped Anderson acceleration with restarts and monotonicity control for accelerating EM and EM-like algorithms
The expectation-maximization (EM) algorithm is a well-known iterative method for computing maximum likelihood estimates from incomplete data. Despite its numerous advantages, a main drawback of the EM algorithm is its frequently observed slow convergence which often hinders the application of EM algorithms in high-dimensional problems or in other complex settings.To address the need for more rapidly convergent EM algorithms, we describe a new class of acceleration schemes that build on the Anderson acceleration technique for speeding fixed-point iterations. Our approach is effective at greatly accelerating the convergence of EM algorithms and is automatically scalable to high dimensional settings. Through the introduction of periodic algorithm restarts and a damping factor, our acceleration scheme provides faster and more robust convergence when compared to un-modified Anderson acceleration while also improving global convergence. Crucially, our method works as an "off-the-shelf" method in that it may be directly used to accelerate any EM algorithm without relying on the use of any model-specific features or insights. Through a series of simulation studies involving five representative problems, we show that our algorithm is substantially faster than the existing state-of-art acceleration schemes.
stat.CO stat.ME
the expectationmaximization em algorithm is a wellknown iterative method for computing maximum likelihood estimates from incomplete data despite its numerous advantages a main drawback of the em algorithm is its frequently observed slow convergence which often hinders the application of em algorithms in highdimensional problems or in other complex settingsto address the need for more rapidly convergent em algorithms we describe a new class of acceleration schemes that build on the anderson acceleration technique for speeding fixedpoint iterations our approach is effective at greatly accelerating the convergence of em algorithms and is automatically scalable to high dimensional settings through the introduction of periodic algorithm restarts and a damping factor our acceleration scheme provides faster and more robust convergence when compared to unmodified anderson acceleration while also improving global convergence crucially our method works as an offtheshelf method in that it may be directly used to accelerate any em algorithm without relying on the use of any modelspecific features or insights through a series of simulation studies involving five representative problems we show that our algorithm is substantially faster than the existing stateofart acceleration schemes
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1,803.06674
A View-based Programmable Architecture for Controlling and Integrating Decentralized Data
The view and the view update are known mechanism for controlling access of data and for integrating data of different schemas. Despite intensive and long research on them in both the database community and the programming language community, we are facing difficulties to use them in practice. The main reason is that we are lacking of control over the view update strategy to deal with inherited ambiguity of view update for a given view. This vision paper aims to provide a new language-based approach to controlling and integrating decentralized data based on the view, and establish a software foundation for systematic construction of such data management systems. Our key observation is that a view should be defined through a view update strategy rather than a query. In other words, the view definition should be extracted from the view update strategy, which is in sharp contrast to the traditional approaches where the view update strategy is derived from the view definition. In this paper, we present the first programmable architecture with a declarative language for specifying update strategies over views, whose unique view definition can be automatically derived, and show how it can be effectively used to control data access, integrate data generally allowing coexistence of GAV (global as view) and LAV (local as view), and perform both analysis and updates on the integrated data. We demonstrate its usefulness through development of a privacy-preserving ride-sharing alliance system, discuss its application scope, and highlight future challenges.
cs.DB
the view and the view update are known mechanism for controlling access of data and for integrating data of different schemas despite intensive and long research on them in both the database community and the programming language community we are facing difficulties to use them in practice the main reason is that we are lacking of control over the view update strategy to deal with inherited ambiguity of view update for a given view this vision paper aims to provide a new languagebased approach to controlling and integrating decentralized data based on the view and establish a software foundation for systematic construction of such data management systems our key observation is that a view should be defined through a view update strategy rather than a query in other words the view definition should be extracted from the view update strategy which is in sharp contrast to the traditional approaches where the view update strategy is derived from the view definition in this paper we present the first programmable architecture with a declarative language for specifying update strategies over views whose unique view definition can be automatically derived and show how it can be effectively used to control data access integrate data generally allowing coexistence of gav global as view and lav local as view and perform both analysis and updates on the integrated data we demonstrate its usefulness through development of a privacypreserving ridesharing alliance system discuss its application scope and highlight future challenges
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1,803.06675
Rare Feature Selection in High Dimensions
It is common in modern prediction problems for many predictor variables to be counts of rarely occurring events. This leads to design matrices in which many columns are highly sparse. The challenge posed by such "rare features" has received little attention despite its prevalence in diverse areas, ranging from natural language processing (e.g., rare words) to biology (e.g., rare species). We show, both theoretically and empirically, that not explicitly accounting for the rareness of features can greatly reduce the effectiveness of an analysis. We next propose a framework for aggregating rare features into denser features in a flexible manner that creates better predictors of the response. Our strategy leverages side information in the form of a tree that encodes feature similarity. We apply our method to data from TripAdvisor, in which we predict the numerical rating of a hotel based on the text of the associated review. Our method achieves high accuracy by making effective use of rare words; by contrast, the lasso is unable to identify highly predictive words if they are too rare. A companion R package, called rare, implements our new estimator, using the alternating direction method of multipliers.
stat.ME math.ST stat.CO stat.ML stat.TH
it is common in modern prediction problems for many predictor variables to be counts of rarely occurring events this leads to design matrices in which many columns are highly sparse the challenge posed by such rare features has received little attention despite its prevalence in diverse areas ranging from natural language processing eg rare words to biology eg rare species we show both theoretically and empirically that not explicitly accounting for the rareness of features can greatly reduce the effectiveness of an analysis we next propose a framework for aggregating rare features into denser features in a flexible manner that creates better predictors of the response our strategy leverages side information in the form of a tree that encodes feature similarity we apply our method to data from tripadvisor in which we predict the numerical rating of a hotel based on the text of the associated review our method achieves high accuracy by making effective use of rare words by contrast the lasso is unable to identify highly predictive words if they are too rare a companion r package called rare implements our new estimator using the alternating direction method of multipliers
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1,803.06676
Two-Stage Robust Unit Commitment for Co-Optimized Electricity Markets: An Adaptive Data-Driven Approach for Scenario-Based Uncertainty Sets
Two-stage robust unit commitment (RUC) models have been widely used for day-ahead energy and reserve scheduling under high renewable integration. The current state of the art relies on budget-constrained polyhedral uncertainty sets to control the conservativeness of the solutions. The associated lack of interpretability and parameter specification procedures, as well as the high computational burden exhibited by available exact solution techniques call for new approaches. In this work, we use an alternative scenario-based framework whereby uncertain renewable generation is characterized by a polyhedral uncertainty set relying on the direct specification of its vertexes. Moreover, we present a simple, yet efficient, adaptive data-driven procedure to dynamically update the uncertainty set vertexes with observed daily renewable-output profiles. Within this setting, the proposed data-driven RUC ensures protection against the convex hull of realistic scenarios empirically capturing the complex and time-varying intra-day spatial and temporal interdependences among renewable units. The resulting counterpart features advantageous properties from a computational perspective and can be effectively solved by the column-and-constraint generation algorithm until $\epsilon$-global optimality. Out-of-sample experiments reveal that the proposed approach is capable of attaining efficient solutions in terms of cost and robustness while keeping the model tractable and scalable.
math.OC
twostage robust unit commitment ruc models have been widely used for dayahead energy and reserve scheduling under high renewable integration the current state of the art relies on budgetconstrained polyhedral uncertainty sets to control the conservativeness of the solutions the associated lack of interpretability and parameter specification procedures as well as the high computational burden exhibited by available exact solution techniques call for new approaches in this work we use an alternative scenariobased framework whereby uncertain renewable generation is characterized by a polyhedral uncertainty set relying on the direct specification of its vertexes moreover we present a simple yet efficient adaptive datadriven procedure to dynamically update the uncertainty set vertexes with observed daily renewableoutput profiles within this setting the proposed datadriven ruc ensures protection against the convex hull of realistic scenarios empirically capturing the complex and timevarying intraday spatial and temporal interdependences among renewable units the resulting counterpart features advantageous properties from a computational perspective and can be effectively solved by the columnandconstraint generation algorithm until epsilonglobal optimality outofsample experiments reveal that the proposed approach is capable of attaining efficient solutions in terms of cost and robustness while keeping the model tractable and scalable
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1,803.06677
A Review of Conjectured Laws of Total Mass of Bacry-Muzy GMC Measures on the Interval and Circle and Their Applications
Selberg and Morris integral probability distributions are long conjectured to be distributions of the total mass of the Bacry-Muzy Gaussian Multiplicative Chaos measures with non-random logarithmic potentials on the unit interval and circle, respectively. The construction and properties of these distributions are reviewed from three perspectives: analytic based on several representations of the Mellin transform, asymptotic based on low intermittency expansions, and probabilistic based on the theory of Barnes beta probability distributions. In particular, positive and negative integer moments, infinite factorizations and involution invariance of the Mellin transform, analytic and probabilistic proofs of infinite divisibility of the logarithm, factorizations into products of Barnes beta distributions, and Stieltjes moment problems of these distributions are presented in detail. Applications are given in the form of conjectured mod-Gaussian limit theorems, laws of derivative martingales, distribution of extrema of $1/f$ noises, and calculations of inverse participation ratios in the Fyodorov-Bouchaud model.
math.PR
selberg and morris integral probability distributions are long conjectured to be distributions of the total mass of the bacrymuzy gaussian multiplicative chaos measures with nonrandom logarithmic potentials on the unit interval and circle respectively the construction and properties of these distributions are reviewed from three perspectives analytic based on several representations of the mellin transform asymptotic based on low intermittency expansions and probabilistic based on the theory of barnes beta probability distributions in particular positive and negative integer moments infinite factorizations and involution invariance of the mellin transform analytic and probabilistic proofs of infinite divisibility of the logarithm factorizations into products of barnes beta distributions and stieltjes moment problems of these distributions are presented in detail applications are given in the form of conjectured modgaussian limit theorems laws of derivative martingales distribution of extrema of 1f noises and calculations of inverse participation ratios in the fyodorovbouchaud model
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1,803.06678
The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval
Using the atmospheric structure from a 3D global radiation-hydrodynamic simulation of HD 189733b and the open-source BART code, we investigate the difference between the secondary-eclipse temperature structure produced with a 3D simulation and the best-fit 1D retrieved model. Synthetic data are generated by integrating the 3D models over the Spitzer, HST, and JWST bandpasses, covering the wavelength range between 1 and 11 um. Using the data from different observing instruments, we present detailed comparisons between the temperature-pressure profiles recovered by BART and those from the 3D simulations. We calculate several averages of the 3D thermal structure and implement two temperature parameterizations to investigate different thermal profile shapes. To assess which part of the thermal structure is best constrained by the data, we generate contribution functions for both our theoretical model and each of our retrieved models. Our conclusions are strongly affected by the spectral resolution of the instruments included, their wavelength coverage, and the number of data points combined. We also see some limitations in each of the temperature parametrizations. The results show that our 1D retrieval is recovering a temperature and pressure profile that most closely matches the arithmetic average of the 3D thermal structure. When we use a higher resolution, more data points, and a parametrized temperature profile that allows more flexibility in the middle part of the atmosphere, we find a better match between the retrieved temperature and pressure profile and the arithmetic average.
astro-ph.EP
using the atmospheric structure from a 3d global radiationhydrodynamic simulation of hd 189733b and the opensource bart code we investigate the difference between the secondaryeclipse temperature structure produced with a 3d simulation and the bestfit 1d retrieved model synthetic data are generated by integrating the 3d models over the spitzer hst and jwst bandpasses covering the wavelength range between 1 and 11 um using the data from different observing instruments we present detailed comparisons between the temperaturepressure profiles recovered by bart and those from the 3d simulations we calculate several averages of the 3d thermal structure and implement two temperature parameterizations to investigate different thermal profile shapes to assess which part of the thermal structure is best constrained by the data we generate contribution functions for both our theoretical model and each of our retrieved models our conclusions are strongly affected by the spectral resolution of the instruments included their wavelength coverage and the number of data points combined we also see some limitations in each of the temperature parametrizations the results show that our 1d retrieval is recovering a temperature and pressure profile that most closely matches the arithmetic average of the 3d thermal structure when we use a higher resolution more data points and a parametrized temperature profile that allows more flexibility in the middle part of the atmosphere we find a better match between the retrieved temperature and pressure profile and the arithmetic average
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1,803.06679
Kirchberg--Wassermann exactness vs exactness: reduction to the unimodular totally disconnected case
We show that in order to prove that every second countable locally compact groups with exact reduced group C*-algebra is exact in the dynamical sense (i.e. KW-exact) it suffices to show this for totally disconnected groups.
math.GR math.OA
we show that in order to prove that every second countable locally compact groups with exact reduced group calgebra is exact in the dynamical sense ie kwexact it suffices to show this for totally disconnected groups
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1,803.0668
Holographic subregion complexity under a thermal quench
We study the evolution of holographic subregion complexity under a thermal quench in this paper. From the subregion CV proposal in the AdS/CFT correspondence, the subregion complexity in the CFT is holographically captured by the volume of the codimension-one surface enclosed by the codimension-two extremal entanglement surface and the boundary subregion. Under a thermal quench, the dual gravitational configuration is described by a Vaidya-AdS spacetime. In this case we find that the holographic subregion complexity always increases at early time, and after reaching a maximum it decreases and gets to saturation. Moreover we notice that when the size of the strip is large enough and the quench is fast enough, in $AdS_{d+1}(d\geq3)$ spacetime the evolution of the complexity is discontinuous and there is a sudden drop due to the transition of the extremal entanglement surface. We discuss the effects of the quench speed, the strip size, the black hole mass and the spacetime dimension on the evolution of the subregion complexity in detail numerically.
hep-th
we study the evolution of holographic subregion complexity under a thermal quench in this paper from the subregion cv proposal in the adscft correspondence the subregion complexity in the cft is holographically captured by the volume of the codimensionone surface enclosed by the codimensiontwo extremal entanglement surface and the boundary subregion under a thermal quench the dual gravitational configuration is described by a vaidyaads spacetime in this case we find that the holographic subregion complexity always increases at early time and after reaching a maximum it decreases and gets to saturation moreover we notice that when the size of the strip is large enough and the quench is fast enough in ads_d1dgeq3 spacetime the evolution of the complexity is discontinuous and there is a sudden drop due to the transition of the extremal entanglement surface we discuss the effects of the quench speed the strip size the black hole mass and the spacetime dimension on the evolution of the subregion complexity in detail numerically
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1,803.06681
Local-in-time well-posedness for Compressible MHD boundary layer
In this paper, we are concerned with the motion of electrically conducting fluid governed by the two-dimensional non-isentropic viscous compressible MHD system on the half plane, with no-slip condition for velocity field, perfect conducting condition for magnetic field and Dirichlet boundary condition for temperature on the boundary. When the viscosity, heat conductivity and magnetic diffusivity coefficients tend to zero in the same rate, there is a boundary layer that is described by a Prandtl-type system. By applying a coordinate transformation in terms of stream function as motivated by the recent work \cite{liu2016mhdboundarylayer} on the incompressible MHD system, under the non-degeneracy condition on the tangential magnetic field, we obtain the local-in-time well-posedness of the boundary layer system in weighted Sobolev spaces.
math.AP
in this paper we are concerned with the motion of electrically conducting fluid governed by the twodimensional nonisentropic viscous compressible mhd system on the half plane with noslip condition for velocity field perfect conducting condition for magnetic field and dirichlet boundary condition for temperature on the boundary when the viscosity heat conductivity and magnetic diffusivity coefficients tend to zero in the same rate there is a boundary layer that is described by a prandtltype system by applying a coordinate transformation in terms of stream function as motivated by the recent work citeliu2016mhdboundarylayer on the incompressible mhd system under the nondegeneracy condition on the tangential magnetic field we obtain the localintime wellposedness of the boundary layer system in weighted sobolev spaces
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1,803.06682
Supervised learning magnetic skyrmion phases
We propose and apply simple machine learning approaches for recognition and classification of complex non-collinear magnetic structures in two-dimensional materials. The first approach is based on the implementation of the single-hidden-layer neural network that only relies on the z projections of the spins. In this setup one needs a limited set of magnetic configurations to distinguish ferromag- netic, skyrmion and spin spiral phases, as well as their different combinations in transitional areas of the phase diagram. The network trained on the configurations for square-lattice Heisenberg model with Dzyaloshinskii-Moriya interaction can classify the magnetic structures obtained from Monte Carlo calculations for triangular lattice and vice versa. The second approach we apply, a minimum distance method performs a fast and cheap classification in cases when a particular configuration is to be assigned to only one magnetic phase. The methods we propose are also easy to use for analysis of the numerous experimental data collected with spin-polarized scanning tunneling microscopy and Lorentz transmission electron microscopy experiments.
cond-mat.str-el cond-mat.dis-nn
we propose and apply simple machine learning approaches for recognition and classification of complex noncollinear magnetic structures in twodimensional materials the first approach is based on the implementation of the singlehiddenlayer neural network that only relies on the z projections of the spins in this setup one needs a limited set of magnetic configurations to distinguish ferromag netic skyrmion and spin spiral phases as well as their different combinations in transitional areas of the phase diagram the network trained on the configurations for squarelattice heisenberg model with dzyaloshinskiimoriya interaction can classify the magnetic structures obtained from monte carlo calculations for triangular lattice and vice versa the second approach we apply a minimum distance method performs a fast and cheap classification in cases when a particular configuration is to be assigned to only one magnetic phase the methods we propose are also easy to use for analysis of the numerous experimental data collected with spinpolarized scanning tunneling microscopy and lorentz transmission electron microscopy experiments
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1,803.06683
Conformal slant submersions in contact geometry
Akyol M.A. [Conformal anti-invariant submersions from cosymplectic manifolds, Hacettepe Journal of Mathematics and Statistic, 46(2), (2017), 177-192.] defined and studied conformal anti-invariant submersions from cosymplectic manifolds. The aim of the present paper is to define and study the notion of conformal slant submersions (it means the Reeb vector field $\xi$ is a vertical vector field) from almost contact metric manifolds onto Riemannian manifolds as a generalization of Riemannian submersions, horizontally conformal submersions, slant submersions and conformal anti-invariant submersions. More precisely, we mention lots of examples and obtain the geometries of the leaves of $\ker\pi_{*}$ and $(\ker\pi_{*})^\perp,$ including the integrability of the distributions, the geometry of foliations, some conditions related to totally geodesicness and harmonicty of the submersions. Finally, we consider a decomposition theorem on total space of the new submersion.
math.DG
akyol ma conformal antiinvariant submersions from cosymplectic manifolds hacettepe journal of mathematics and statistic 462 2017 177192 defined and studied conformal antiinvariant submersions from cosymplectic manifolds the aim of the present paper is to define and study the notion of conformal slant submersions it means the reeb vector field xi is a vertical vector field from almost contact metric manifolds onto riemannian manifolds as a generalization of riemannian submersions horizontally conformal submersions slant submersions and conformal antiinvariant submersions more precisely we mention lots of examples and obtain the geometries of the leaves of kerpi_ and kerpi_perp including the integrability of the distributions the geometry of foliations some conditions related to totally geodesicness and harmonicty of the submersions finally we consider a decomposition theorem on total space of the new submersion
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1,803.06684
The decomposition formula for Verlinde Sums
We prove a decomposition formula for Verlinde sums (rational trigonometric sums), as a discrete counterpart to the Boysal-Vergne decomposition formula for Bernoulli series. Motivated by applications to fixed point formulas in Hamiltonian geometry, we develop differential form valued version of Bernoulli series and Verlinde sums, and extend the decomposition formula to this wider context.
math.SG
we prove a decomposition formula for verlinde sums rational trigonometric sums as a discrete counterpart to the boysalvergne decomposition formula for bernoulli series motivated by applications to fixed point formulas in hamiltonian geometry we develop differential form valued version of bernoulli series and verlinde sums and extend the decomposition formula to this wider context
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1,803.06685
Shifted Poisson structures on differentiable stacks
The purpose of this paper is to investigate shifted $(+1)$ Poisson structures in context of differential geometry. The relevant notion is shifted $(+1)$ Poisson structures on differentiable stacks. More precisely, we develop the notion of Morita equivalence of quasi-Poisson groupoids. Thus isomorphism classes of $(+1)$ Poisson stack correspond to Morita equivalence classes of quasi-Poisson groupoids. In the process, we carry out the following programs of independent interests: (1) We introduce a $\mathbb Z$-graded Lie 2-algebra of polyvector fields on a given Lie groupoid and prove that its homotopy equivalence class is invariant under Morita equivalence of Lie groupoids, thus can be considered as polyvector fields on the corresponding differentiable stack ${\mathfrak X}$. It turns out that shifted $(+1)$ Poisson structures on ${\mathfrak X}$ correspond exactly to elements of the Maurer-Cartan moduli set of the corresponding dgla. (2) We introduce the notion of tangent complex $T_{\mathfrak X}$ and cotangent complex $L_{\mathfrak X}$ of a differentiable stack ${\mathfrak X}$ in terms of any Lie groupoid $\Gamma{\rightrightarrows} M$ representing ${\mathfrak X}$. They correspond to homotopy class of 2-term homotopy $\Gamma$-modules $A[1]\rightarrow TM$ and $T^\vee M\rightarrow A^\vee[-1]$, respectively. We prove that a $(+1)$-shifted Poisson structure on a differentiable stack ${\mathfrak X}$, defines a morphism ${L_{{\mathfrak X}}}[1]\to {T_{{\mathfrak X}}}$.
math.DG
the purpose of this paper is to investigate shifted 1 poisson structures in context of differential geometry the relevant notion is shifted 1 poisson structures on differentiable stacks more precisely we develop the notion of morita equivalence of quasipoisson groupoids thus isomorphism classes of 1 poisson stack correspond to morita equivalence classes of quasipoisson groupoids in the process we carry out the following programs of independent interests 1 we introduce a mathbb zgraded lie 2algebra of polyvector fields on a given lie groupoid and prove that its homotopy equivalence class is invariant under morita equivalence of lie groupoids thus can be considered as polyvector fields on the corresponding differentiable stack mathfrak x it turns out that shifted 1 poisson structures on mathfrak x correspond exactly to elements of the maurercartan moduli set of the corresponding dgla 2 we introduce the notion of tangent complex t_mathfrak x and cotangent complex l_mathfrak x of a differentiable stack mathfrak x in terms of any lie groupoid gammarightrightarrows m representing mathfrak x they correspond to homotopy class of 2term homotopy gammamodules a1rightarrow tm and tvee mrightarrow avee1 respectively we prove that a 1shifted poisson structure on a differentiable stack mathfrak x defines a morphism l_mathfrak x1to t_mathfrak x
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1,803.06686
Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces
With the rise of machine learning, there is a great deal of interest in treating programs as data to be fed to learning algorithms. However, programs do not start off in a form that is immediately amenable to most off-the-shelf learning techniques. Instead, it is necessary to transform the program to a suitable representation before a learning technique can be applied. In this paper, we use abstractions of traces obtained from symbolic execution of a program as a representation for learning word embeddings. We trained a variety of word embeddings under hundreds of parameterizations, and evaluated each learned embedding on a suite of different tasks. In our evaluation, we obtain 93% top-1 accuracy on a benchmark consisting of over 19,000 API-usage analogies extracted from the Linux kernel. In addition, we show that embeddings learned from (mainly) semantic abstractions provide nearly triple the accuracy of those learned from (mainly) syntactic abstractions.
cs.SE
with the rise of machine learning there is a great deal of interest in treating programs as data to be fed to learning algorithms however programs do not start off in a form that is immediately amenable to most offtheshelf learning techniques instead it is necessary to transform the program to a suitable representation before a learning technique can be applied in this paper we use abstractions of traces obtained from symbolic execution of a program as a representation for learning word embeddings we trained a variety of word embeddings under hundreds of parameterizations and evaluated each learned embedding on a suite of different tasks in our evaluation we obtain 93 top1 accuracy on a benchmark consisting of over 19000 apiusage analogies extracted from the linux kernel in addition we show that embeddings learned from mainly semantic abstractions provide nearly triple the accuracy of those learned from mainly syntactic abstractions
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1,803.06687
Sub-Riemannian Geodesics on SU(n)/S(U(n-1)xU(1)) and Optimal Control of Three Level Quantum Systems
We study the time optimal control problem for the evolution operator of an n-level quantum system from the identity to any desired final condition. For the considered class of quantum systems the control couples all the energy levels to a given one and is assumed to be bounded in Euclidean norm. From a mathematical perspective, such a problem is a sub-Riemannian K-P problem, whose underlying symmetric space is SU(n)/S(U(n-1) x U(1)). Following the method of symmetry reduction, we consider the action of S(U(n-1) xU(1)) on SU(n) as a conjugation X ---> AXA^{-1}. This allows us to do a symmetry reduction and consider the problem on a quotient space. We give an explicit description of such a quotient space which has the structure of a stratified space. We prove several properties of sub-Riemannian problems with the given structure. We derive the explicit optimal control for the case of three level quantum systems where the desired operation is on the lowest two energy levels (Lambda-systems). We solve this latter problem by reducing it to an integer quadratic optimization problem with linear constraints.
quant-ph math.OC
we study the time optimal control problem for the evolution operator of an nlevel quantum system from the identity to any desired final condition for the considered class of quantum systems the control couples all the energy levels to a given one and is assumed to be bounded in euclidean norm from a mathematical perspective such a problem is a subriemannian kp problem whose underlying symmetric space is sunsun1 x u1 following the method of symmetry reduction we consider the action of sun1 xu1 on sun as a conjugation x axa1 this allows us to do a symmetry reduction and consider the problem on a quotient space we give an explicit description of such a quotient space which has the structure of a stratified space we prove several properties of subriemannian problems with the given structure we derive the explicit optimal control for the case of three level quantum systems where the desired operation is on the lowest two energy levels lambdasystems we solve this latter problem by reducing it to an integer quadratic optimization problem with linear constraints
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1,803.06688
Height estimates for constant mean curvature graphs in $\mathrm{Nil}_3$ and $\widetilde{PSL}_2(\mathbb{R})$
In this paper we obtain height estimates for compact, constant mean curvature vertical graphs in the homogeneous spaces $\mathrm{Nil}_3$ and $\widetilde{PSL}_2(\mathbb{R})$. As a straightforward consequence, we announce a structure-type result for proper graphs defined on relatively compact domains.
math.DG
in this paper we obtain height estimates for compact constant mean curvature vertical graphs in the homogeneous spaces mathrmnil_3 and widetildepsl_2mathbbr as a straightforward consequence we announce a structuretype result for proper graphs defined on relatively compact domains
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1,803.06689
Controllability of Symmetric Spin Networks
We consider a network of n spin 1/2 systems which are pairwise interacting via Ising interaction and are controlled by the same electro-magnetic control field. Such a system presents symmetries since the Hamiltonian is unchanged if we permute two spins. This prevents full (operator) controllability in that not every unitary evolution can be obtained. We prove however that controllability is verified if we restrict ourselves to unitary evolutions which preserve the above permutation invariance. For low dimensional cases, n=2 and n=3, we provide an analysis of the Lie group of available evolutions and give explicit control laws to transfer between any two permutation invariant states. This class of states includes highly entangled states such as GHZ states and W states, which are of interest in quantum information.
quant-ph math.OC
we consider a network of n spin 12 systems which are pairwise interacting via ising interaction and are controlled by the same electromagnetic control field such a system presents symmetries since the hamiltonian is unchanged if we permute two spins this prevents full operator controllability in that not every unitary evolution can be obtained we prove however that controllability is verified if we restrict ourselves to unitary evolutions which preserve the above permutation invariance for low dimensional cases n2 and n3 we provide an analysis of the lie group of available evolutions and give explicit control laws to transfer between any two permutation invariant states this class of states includes highly entangled states such as ghz states and w states which are of interest in quantum information
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1,803.0669
Non-reciprocal Components Based on Switched Transmission Lines
Non-reciprocal components, such as isolators and circulators, are critical to wireless communication and radar applications. Traditionally, non-reciprocal components have been implemented using ferrite materials, which exhibit non-reciprocity under the influence of an external magnetic field. However, ferrite materials cannot be integrated into IC fabrication processes, and consequently are bulky and expensive. In the recent past, there has been strong interest in achieving non-reciprocity in a non-magnetic IC-compatible fashion using spatio-temporal modulation. In this paper, we present a general approach to non-reciprocity based on switched transmission lines. Switched transmission lines enable broadband, lossless and compact non-reciprocity, and a wide range of non-reciprocal functionalities, including non-reciprocal phase shifters, ultra-broadband gyrators and isolators, frequency-conversion isolators, and high-linearity/high-frequency/ultra-broadband circulators. We present a detailed theoretical analysis of the various non-idealities that impact insertion loss and provide design guidelines. The theory is validated by experimental results from discrete-component-based gyrators and isolators, and a 25GHz circulator fabricated in 45nm SOI CMOS technology.
eess.SP
nonreciprocal components such as isolators and circulators are critical to wireless communication and radar applications traditionally nonreciprocal components have been implemented using ferrite materials which exhibit nonreciprocity under the influence of an external magnetic field however ferrite materials cannot be integrated into ic fabrication processes and consequently are bulky and expensive in the recent past there has been strong interest in achieving nonreciprocity in a nonmagnetic iccompatible fashion using spatiotemporal modulation in this paper we present a general approach to nonreciprocity based on switched transmission lines switched transmission lines enable broadband lossless and compact nonreciprocity and a wide range of nonreciprocal functionalities including nonreciprocal phase shifters ultrabroadband gyrators and isolators frequencyconversion isolators and highlinearityhighfrequencyultrabroadband circulators we present a detailed theoretical analysis of the various nonidealities that impact insertion loss and provide design guidelines the theory is validated by experimental results from discretecomponentbased gyrators and isolators and a 25ghz circulator fabricated in 45nm soi cmos technology
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1,803.06691
On the Absence of a Normal Nonabelian Sylow Subgroup
Let $G$ be a finite solvable group. We show that $G$ does not have a normal nonabelian Sylow $p$-subgroup when its prime character degree graph $\Delta(G)$ satisfies a technical hypothesis.
math.GR
let g be a finite solvable group we show that g does not have a normal nonabelian sylow psubgroup when its prime character degree graph deltag satisfies a technical hypothesis
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1,803.06692
Radial Schur multipliers on some generalisations of trees
We give a characterisation of radial Schur multipliers on finite products of trees. The equivalent condition is that a certain generalised Hankel matrix involving the discrete derivatives of the radial function is a trace class operator. This extends Haagerup, Steenstrup and Szwarc's result for trees. The same condition can be expressed in terms of Besov spaces on the torus. We also prove a similar result for products of hyperbolic graphs and provide a sufficient condition for a function to define a radial Schur multiplier on a finite dimensional CAT(0) cube complex.
math.OA
we give a characterisation of radial schur multipliers on finite products of trees the equivalent condition is that a certain generalised hankel matrix involving the discrete derivatives of the radial function is a trace class operator this extends haagerup steenstrup and szwarcs result for trees the same condition can be expressed in terms of besov spaces on the torus we also prove a similar result for products of hyperbolic graphs and provide a sufficient condition for a function to define a radial schur multiplier on a finite dimensional cat0 cube complex
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1,803.06693
Persistent incomplete mixing in reactive flows
We present an effective stochastic advection-diffusion-reaction (SADR) model that explains incomplete mixing typically observed in transport with bimolecular reactions. Unlike traditional advection-dispersion-reaction models, the SADR model describes mechanical and diffusive mixing as two separate processes. In the SADR model, mechanical mixing is driven by random advective velocity with the variance given by the coefficient of mechanical dispersion. The diffusive mixing is modeled as a Fickian diffusion with the effective diffusion coefficient. We demonstrate that the sum of the two coefficients is equal to the dispersion coefficients, but only the effective diffusion coefficient contributes to the mixing-controlled reactions, indicating that such systems do not get fully mixed at the Representative Elementary Volume scale where the deterministic equations and dispersion coefficient are defined. We use the experimental results of Gramling et al. \cite{Gramling} to show that for transport and bimolecular reactions in porous media, the SADR model is significantly more accurate than the traditional dispersion model, which overestimates the concentration of the reaction product by as much as 60\%.
physics.flu-dyn
we present an effective stochastic advectiondiffusionreaction sadr model that explains incomplete mixing typically observed in transport with bimolecular reactions unlike traditional advectiondispersionreaction models the sadr model describes mechanical and diffusive mixing as two separate processes in the sadr model mechanical mixing is driven by random advective velocity with the variance given by the coefficient of mechanical dispersion the diffusive mixing is modeled as a fickian diffusion with the effective diffusion coefficient we demonstrate that the sum of the two coefficients is equal to the dispersion coefficients but only the effective diffusion coefficient contributes to the mixingcontrolled reactions indicating that such systems do not get fully mixed at the representative elementary volume scale where the deterministic equations and dispersion coefficient are defined we use the experimental results of gramling et al citegramling to show that for transport and bimolecular reactions in porous media the sadr model is significantly more accurate than the traditional dispersion model which overestimates the concentration of the reaction product by as much as 60
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1,803.06694
Asymptotic properties of integrals of quotients, when the numerator oscillates and denominator degenerates
We study asymptotical expansion as $\nu\to0$ for integrals over ${ \mathbb{R} }^{2d}=\{(x,y)\}$ of quotients of the form $F(x,y) \cos(\lambda x\cdot y) \big/ \big( (x\cdot y)^2+\nu^2\big)$, where $\lambda\ge 0$ and $F$ decays at infinity sufficiently fast. Integrals of this kind appear in the theory of wave turbulence.
math-ph math.MP
we study asymptotical expansion as nuto0 for integrals over mathbbr 2dxy of quotients of the form fxy coslambda xcdot y big big xcdot y2nu2big where lambdage 0 and f decays at infinity sufficiently fast integrals of this kind appear in the theory of wave turbulence
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1,803.06695
Vortex-like solutions and internal structures of covariant ideal magnetohydrodynamics
We discuss a manifestly covariant formulation of ideal relativistic magnetohydrodynamics, which has been recently used in astrophysical and heavy-ion contexts, and compare it to other similar frameworks. We show that the covariant equations allow for stationary vortex-like solutions that represent generalizations of the perfect-fluid solutions describing systems in global equilibrium with rotation. Such solutions are further used to demonstrate that inhomogeneous Maxwell equations, implicitly included in the covariant framework, may generate very large electric charge densities. This suggests that solutions of the covariant formulation may violate in some cases the assumptions of standard ideal magnetohydrodynamics. Furthermore, we show that the flow four-vector and conserved currents obtained in the covariant approach are usually not related to each other, which hinders kinetic-theory interpretation of the obtained results.
nucl-th hep-ph
we discuss a manifestly covariant formulation of ideal relativistic magnetohydrodynamics which has been recently used in astrophysical and heavyion contexts and compare it to other similar frameworks we show that the covariant equations allow for stationary vortexlike solutions that represent generalizations of the perfectfluid solutions describing systems in global equilibrium with rotation such solutions are further used to demonstrate that inhomogeneous maxwell equations implicitly included in the covariant framework may generate very large electric charge densities this suggests that solutions of the covariant formulation may violate in some cases the assumptions of standard ideal magnetohydrodynamics furthermore we show that the flow fourvector and conserved currents obtained in the covariant approach are usually not related to each other which hinders kinetictheory interpretation of the obtained results
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1,803.06696
Low emittance muon accelerator studies with production from positrons on target
A new scheme to produce very low emittance muon beams using a positron beam of about 45~GeV interacting on electrons on target is presented. One of the innovative topics to be investigated is the behaviour of the positron beam stored in a low emittance ring with a thin target, that is directly inserted in the ring chamber to produce muons. Muons can be immediately collected at the exit of the target and transported to two $\mu^+$ and $\mu^-$ accumulator rings and then accelerated and injected in muon collider rings. We focus in this paper on the simulation of the e$^+$ beam interacting with the target, the effect of the target on the 6-D phase space and the optimization of the e$^+$ ring design to maximize the energy acceptance. We will investigate the performance of this scheme, ring plus target system, comparing different multi-turn simulations. The source is considered for use in a multi-TeV collider in ref.[1]
physics.acc-ph
a new scheme to produce very low emittance muon beams using a positron beam of about 45gev interacting on electrons on target is presented one of the innovative topics to be investigated is the behaviour of the positron beam stored in a low emittance ring with a thin target that is directly inserted in the ring chamber to produce muons muons can be immediately collected at the exit of the target and transported to two mu and mu accumulator rings and then accelerated and injected in muon collider rings we focus in this paper on the simulation of the e beam interacting with the target the effect of the target on the 6d phase space and the optimization of the e ring design to maximize the energy acceptance we will investigate the performance of this scheme ring plus target system comparing different multiturn simulations the source is considered for use in a multitev collider in ref1
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1,803.06697
Higher-order estimates for collapsing Calabi-Yau metrics
We prove a uniform C^alpha estimate for collapsing Calabi-Yau metrics on the total space of a proper holomorphic submersion over the unit ball in C^m. The usual methods of Calabi, Evans-Krylov, and Caffarelli do not apply to this setting because the background geometry degenerates. We instead rely on blowup arguments and on linear and nonlinear Liouville theorems on cylinders. In particular, as an intermediate step, we use such arguments to prove sharp new Schauder estimates for the Laplacian on cylinders. If the fibers of the submersion are pairwise biholomorphic, our method yields a uniform C^infinity estimate. We then apply these local results to the case of collapsing Calabi-Yau metrics on compact Calabi-Yau manifolds. In this global setting, the C^0 estimate required as a hypothesis in our new local C^alpha and C^infinity estimates is known to hold thanks to earlier work of the second-named author.
math.DG math.AP math.CV
we prove a uniform calpha estimate for collapsing calabiyau metrics on the total space of a proper holomorphic submersion over the unit ball in cm the usual methods of calabi evanskrylov and caffarelli do not apply to this setting because the background geometry degenerates we instead rely on blowup arguments and on linear and nonlinear liouville theorems on cylinders in particular as an intermediate step we use such arguments to prove sharp new schauder estimates for the laplacian on cylinders if the fibers of the submersion are pairwise biholomorphic our method yields a uniform cinfinity estimate we then apply these local results to the case of collapsing calabiyau metrics on compact calabiyau manifolds in this global setting the c0 estimate required as a hypothesis in our new local calpha and cinfinity estimates is known to hold thanks to earlier work of the secondnamed author
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1,803.06698
Possible interaction between baryons and dark-matter particles revealed by the first stars
The cosmic radio-frequency spectrum is expected to show a strong absorption signal corresponding to the 21-centimetre-wavelength transition of atomic hydrogen around redshift 20, which arises from Lyman-alpha radiation from some of the earliest stars. By observing this 21-centimetre signal - either its sky-averaged spectrum or maps of its fluctuations, obtained using radio interferometers - we can obtain information about cosmic dawn, the era when the first astrophysical sources of light were formed. The recent detection of the global 21-centimetre spectrum reveals a stronger absorption than the maximum predicted by existing models, at a confidence level of 3.8 standard deviations. Here we report that this absorption can be explained by the combination of radiation from the first stars and excess cooling of the cosmic gas induced by its interaction with dark matter. Our analysis indicates that the spatial fluctuations of the 21-centimetre signal at cosmic dawn could be an order of magnitude larger than previously expected and that the dark-matter particle is no heavier than several proton masses, well below the commonly predicted mass of weakly interacting massive particles. Our analysis also confirms that dark matter is highly non-relativistic and at least moderately cold, and primordial velocities predicted by models of warm dark matter are potentially detectable. These results indicate that 21-centimetre cosmology can be used as a dark-matter probe.
astro-ph.CO
the cosmic radiofrequency spectrum is expected to show a strong absorption signal corresponding to the 21centimetrewavelength transition of atomic hydrogen around redshift 20 which arises from lymanalpha radiation from some of the earliest stars by observing this 21centimetre signal either its skyaveraged spectrum or maps of its fluctuations obtained using radio interferometers we can obtain information about cosmic dawn the era when the first astrophysical sources of light were formed the recent detection of the global 21centimetre spectrum reveals a stronger absorption than the maximum predicted by existing models at a confidence level of 38 standard deviations here we report that this absorption can be explained by the combination of radiation from the first stars and excess cooling of the cosmic gas induced by its interaction with dark matter our analysis indicates that the spatial fluctuations of the 21centimetre signal at cosmic dawn could be an order of magnitude larger than previously expected and that the darkmatter particle is no heavier than several proton masses well below the commonly predicted mass of weakly interacting massive particles our analysis also confirms that dark matter is highly nonrelativistic and at least moderately cold and primordial velocities predicted by models of warm dark matter are potentially detectable these results indicate that 21centimetre cosmology can be used as a darkmatter probe
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1,803.06699
Eshel Ben-Jacob: A unique individual in the science of collective phenomena
Eshel Ben-Jacob, one of the co-organizers of this meeting on collective behavior and one of the pioneers in the field of collective behavior in biology, passed away suddenly just before we convened. This article presents a brief glimpse of Eshel's life-long path through science, seen from the perspective of a decades long collaboration on many disparate yet ultimately connected topics. The article attempts to convey how the concept of self-organization of complex interacting objects into higher order functional units, as evidenced so wonderfully by Eshel's experiments on bacterial colony formation, provides a unifying theme for the study of collective behavior. Our entire field will miss his unique ability to "let the complex become simple".
q-bio.OT q-bio.CB
eshel benjacob one of the coorganizers of this meeting on collective behavior and one of the pioneers in the field of collective behavior in biology passed away suddenly just before we convened this article presents a brief glimpse of eshels lifelong path through science seen from the perspective of a decades long collaboration on many disparate yet ultimately connected topics the article attempts to convey how the concept of selforganization of complex interacting objects into higher order functional units as evidenced so wonderfully by eshels experiments on bacterial colony formation provides a unifying theme for the study of collective behavior our entire field will miss his unique ability to let the complex become simple
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1,803.067
Categoricity of Shimura Varieties
We propose a model-theoretic structure for Shimura varieties and give necessary and sufficient conditions to obtain categoricity. We show that these conditions are directly related to important conjectures in number theory coming from Galois representations attached the points of a Shimura variety. We end by showing that the existing literature is enough to prove categoricity of $\mathcal{A}_{2}$ and $\mathcal{A}_{3}$.
math.LO math.AG math.NT
we propose a modeltheoretic structure for shimura varieties and give necessary and sufficient conditions to obtain categoricity we show that these conditions are directly related to important conjectures in number theory coming from galois representations attached the points of a shimura variety we end by showing that the existing literature is enough to prove categoricity of mathcala_2 and mathcala_3
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1,803.06701
Inverse parameter-dependent Preisach operator in thermo-piezoelectricity modeling
Hysteresis is an important issue in modeling piezoelectric materials, for example, in applications to energy harvesting, where hysteresis losses may influence the efficiency of the process. The main problem in numerical simulations is the inversion of the underlying hysteresis operator. Moreover, hysteresis dissipation is accompanied with heat production, which in turn increases the temperature of the device and may change its physical characteristics. More accurate models therefore have to take the temperature dependence into account for a correct energy balance. We prove here that the classical Preisach operator with a fairly general parameter-dependence admits a Lipschitz continuous inverse in the space of right-continuous regulated functions, propose a time-discrete and memory-discrete inversion algorithm, and show that higher regularity of the inputs leads to a higher regularity of the output of the inverse.
math.AP
hysteresis is an important issue in modeling piezoelectric materials for example in applications to energy harvesting where hysteresis losses may influence the efficiency of the process the main problem in numerical simulations is the inversion of the underlying hysteresis operator moreover hysteresis dissipation is accompanied with heat production which in turn increases the temperature of the device and may change its physical characteristics more accurate models therefore have to take the temperature dependence into account for a correct energy balance we prove here that the classical preisach operator with a fairly general parameterdependence admits a lipschitz continuous inverse in the space of rightcontinuous regulated functions propose a timediscrete and memorydiscrete inversion algorithm and show that higher regularity of the inputs leads to a higher regularity of the output of the inverse
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1,803.06702
On the infinite divisibility of distributions of some inverse subordinators
We consider the infinite divisibility of distributions of some well-known inverse subordinators. Using a tail probability bound, we establish that distributions of many of the inverse subordinators used in the literature are not infinitely divisible. We further show that the distribution of a renewal process time-changed by an inverse stable subordinator is not infinitely divisible, which in particular implies that the distribution of the fractional Poisson process is not infinitely divisible.
math.PR
we consider the infinite divisibility of distributions of some wellknown inverse subordinators using a tail probability bound we establish that distributions of many of the inverse subordinators used in the literature are not infinitely divisible we further show that the distribution of a renewal process timechanged by an inverse stable subordinator is not infinitely divisible which in particular implies that the distribution of the fractional poisson process is not infinitely divisible
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1,803.06703
The X-ray modulation of PSR J2032+4127/MT91 213 during the Periastron Passage in 2017
We present the Neil Gehrels Swift Observatory (Swift), Fermi Large Area Telescope (Fermi-LAT), and Karl G. Jansky Very Large Array (VLA) observations of the gamma-ray binary PSR J2032+4127/MT91 213, of which the periastron passage has just occurred in November 2017. In the Swift X-ray light curve, the flux was steadily increasing before mid-October 2017, however, a sharp X-ray dip on a weekly time-scale is seen during the periastron passage, followed by a post-periastron X-ray flare lasting for ~20 days. We suggest that the X-ray dip is caused by (i) an increase of the magnetization parameter at the shock, and (ii) the suppression due to the Doppler boosting effect. The 20-day post-periastron flare could be a consequence of the Be stellar disk passage by the pulsar. An orbital GeV modulation is also expected in our model, however, no significant variability is seen in the Fermi-LAT light curve. We suspect that the GeV emission resulted from the interaction between the binary's members is hidden behind the bright magnetospheric emission of the pulsar. Pulsar gating technique would be useful to remove the magnetospheric emission and recover the predicted GeV modulation, if an accurate radio timing solution over the periastron passage is provided in the future.
astro-ph.HE
we present the neil gehrels swift observatory swift fermi large area telescope fermilat and karl g jansky very large array vla observations of the gammaray binary psr j20324127mt91 213 of which the periastron passage has just occurred in november 2017 in the swift xray light curve the flux was steadily increasing before midoctober 2017 however a sharp xray dip on a weekly timescale is seen during the periastron passage followed by a postperiastron xray flare lasting for 20 days we suggest that the xray dip is caused by i an increase of the magnetization parameter at the shock and ii the suppression due to the doppler boosting effect the 20day postperiastron flare could be a consequence of the be stellar disk passage by the pulsar an orbital gev modulation is also expected in our model however no significant variability is seen in the fermilat light curve we suspect that the gev emission resulted from the interaction between the binarys members is hidden behind the bright magnetospheric emission of the pulsar pulsar gating technique would be useful to remove the magnetospheric emission and recover the predicted gev modulation if an accurate radio timing solution over the periastron passage is provided in the future
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1,803.06704
Dynamical Evolution of Planetary Systems
Planetary systems can evolve dynamically even after the planets themselves have fully formed, and there is circumstantial evidence that most planetary systems become unstable after the disappearance of the gaseous protoplanetary disk. Theories of planet formation predict that chains of mean motion resonances are the natural outcome of disk-driven planet migration, leading to the pile up of super-Earths resonant chains close to the inner edge of the disk and the formation of fragile chains for distant giant planets. Observations of young systems suggest that they are more often locked in these chains than older ones, which are instead mostly non-resonant. The instabilities thought responsible for this trend can arise intrinsically if the original systems are too closely packed, or be due to external perturbations such as tides, planetesimal scattering, or torques from distant stellar companions. The Solar System was not exceptional in this sense, as the outer giants saw the disruption of a resonant chain; meanwhile, the inner system was likely built through a series of giant impacts between closely packed planetary embryos. Thus, the orbital distributions of planetary systems that is observed today, both solar and extrasolar, can be different from those emerging from formation and assembly processes within the disk, and it is important to consider possible long-term dynamics to connect the two.
astro-ph.EP
planetary systems can evolve dynamically even after the planets themselves have fully formed and there is circumstantial evidence that most planetary systems become unstable after the disappearance of the gaseous protoplanetary disk theories of planet formation predict that chains of mean motion resonances are the natural outcome of diskdriven planet migration leading to the pile up of superearths resonant chains close to the inner edge of the disk and the formation of fragile chains for distant giant planets observations of young systems suggest that they are more often locked in these chains than older ones which are instead mostly nonresonant the instabilities thought responsible for this trend can arise intrinsically if the original systems are too closely packed or be due to external perturbations such as tides planetesimal scattering or torques from distant stellar companions the solar system was not exceptional in this sense as the outer giants saw the disruption of a resonant chain meanwhile the inner system was likely built through a series of giant impacts between closely packed planetary embryos thus the orbital distributions of planetary systems that is observed today both solar and extrasolar can be different from those emerging from formation and assembly processes within the disk and it is important to consider possible longterm dynamics to connect the two
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1,803.06705
Hierarchical Predictive Control Algorithms for Optimal Design and Operation of Microgrids
In recent years, microgrids, i.e., disconnected distribution systems, have received increasing interest from power system utilities to support the economic and resiliency posture of their systems. The economics of long distance transmission lines prevent many remote communities from connecting to bulk transmission systems and these communities rely on off-grid microgrid technology. Furthermore, communities that are connected to the bulk transmission system are investigating microgrid technologies that will support their ability to disconnect and operate independently during extreme events. In each of these cases, it is important to develop methodologies that support the capability to design and operate microgrids in the absence of transmission over long periods of time. Unfortunately, such planning problems tend to be computationally difficult to solve and those that are straightforward to solve often lack the modeling fidelity that inspires confidence in the results. To address these issues, we first develop a high fidelity model for design and operations of a microgrid that include component efficiencies, component operating limits, battery modeling, unit commitment, capacity expansion, and power flow physics; the resulting model is a mixed-integer quadratically-constrained quadratic program (MIQCQP). We then develop an iterative algorithm, referred to as the Model Predictive Control (MPC) algorithm, that allows us to solve the resulting MIQCQP. We show, through extensive computational experiments, that the MPC-based method can scale to problems that have a very long planning horizon and provide high quality solutions that lie within 5\% of optimal.
math.OC cs.SY
in recent years microgrids ie disconnected distribution systems have received increasing interest from power system utilities to support the economic and resiliency posture of their systems the economics of long distance transmission lines prevent many remote communities from connecting to bulk transmission systems and these communities rely on offgrid microgrid technology furthermore communities that are connected to the bulk transmission system are investigating microgrid technologies that will support their ability to disconnect and operate independently during extreme events in each of these cases it is important to develop methodologies that support the capability to design and operate microgrids in the absence of transmission over long periods of time unfortunately such planning problems tend to be computationally difficult to solve and those that are straightforward to solve often lack the modeling fidelity that inspires confidence in the results to address these issues we first develop a high fidelity model for design and operations of a microgrid that include component efficiencies component operating limits battery modeling unit commitment capacity expansion and power flow physics the resulting model is a mixedinteger quadraticallyconstrained quadratic program miqcqp we then develop an iterative algorithm referred to as the model predictive control mpc algorithm that allows us to solve the resulting miqcqp we show through extensive computational experiments that the mpcbased method can scale to problems that have a very long planning horizon and provide high quality solutions that lie within 5 of optimal
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1,803.06706
Descent distribution on Catalan words avoiding a pattern of length at most three
Catalan words are particular growth-restricted words over the set of non-negative integers, and they represent still another combinatorial class counted by the Catalan numbers. We study the distribution of descents on the sets of Catalan words avoiding a pattern of length at most three: for each such a pattern $p$ we provide a bivariate generating function where the coefficient of $x^ny^k$ in its series expansion is the number of length $n$ Catalan words with $k$ descents and avoiding $p$. As a byproduct, we enumerate the set of Catalan words avoiding $p$, and we provide the popularity of descents on this set. Some of the obtained enumerating sequences are not yet recorded in the On-line Encyclopedia of Integer Sequences.
math.CO cs.DM
catalan words are particular growthrestricted words over the set of nonnegative integers and they represent still another combinatorial class counted by the catalan numbers we study the distribution of descents on the sets of catalan words avoiding a pattern of length at most three for each such a pattern p we provide a bivariate generating function where the coefficient of xnyk in its series expansion is the number of length n catalan words with k descents and avoiding p as a byproduct we enumerate the set of catalan words avoiding p and we provide the popularity of descents on this set some of the obtained enumerating sequences are not yet recorded in the online encyclopedia of integer sequences
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1,803.06707
An Improved Welfare Guarantee for First Price Auctions
This paper proves that the welfare of the first price auction in Bayes-Nash equilibrium is at least a $.743$-fraction of the welfare of the optimal mechanism assuming agents' values are independently distributed. The previous best bound was $1-1/e \approx .63$, derived in Syrgkanis and Tardos (2013) using smoothness, the standard technique for reasoning about welfare of games in equilibrium. In the worst known example (from Hartline et al. (2014)), the first price auction achieves a $\approx .869$-fraction of the optimal welfare, far better than the theoretical guarantee. Despite this large gap, it was unclear whether the $1-1/e \approx .63$ bound was tight. We prove that it is not. Our analysis eschews smoothness, and instead uses the independence assumption on agents' value distributions to give a more careful accounting of the welfare contribution of agents who win despite not having the highest value.
cs.GT
this paper proves that the welfare of the first price auction in bayesnash equilibrium is at least a 743fraction of the welfare of the optimal mechanism assuming agents values are independently distributed the previous best bound was 11e approx 63 derived in syrgkanis and tardos 2013 using smoothness the standard technique for reasoning about welfare of games in equilibrium in the worst known example from hartline et al 2014 the first price auction achieves a approx 869fraction of the optimal welfare far better than the theoretical guarantee despite this large gap it was unclear whether the 11e approx 63 bound was tight we prove that it is not our analysis eschews smoothness and instead uses the independence assumption on agents value distributions to give a more careful accounting of the welfare contribution of agents who win despite not having the highest value
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1,803.06708
Accretion Processes
In planetary science, accretion is the process in which solids agglomerate to form larger and larger objects and eventually planets are produced. The initial conditions are a disc of gas and microscopic solid particles, with a total mass of about 1% of the gas mass. Accretion has to be effective and fast. Effective, because the original total mass in solids in the solar protoplanetary disk was probably of the order of ~ 300 Earth masses, and the mass incorporated into the planets is ~100 Earth masses. Fast, because the cores of the giant planets had to grow to tens of Earth masses in order to capture massive doses of hydrogen and helium from the disc before the dispersal of the latter, i.e. in a few millions of years. There is probably not one accretion process but several, depending on the scale at which accretion operates. A first process is the sticking of microscopic dust into larger grains and pebbles. A second process is the formation of an intermediate class of objects called planetesimals. A third accretion process has to lead from planetesimals to planets. Actually, several processes can be involved in this step, from collisional coagulation among planetesimals to the accretion of small particles under the effect of gas drag, to giant impacts between protoplanets. This chapter will detail all these processes, adopting a historical perspective: i.e. from the classic processes investigated in the past decades to those unveiled in the last years.
astro-ph.EP
in planetary science accretion is the process in which solids agglomerate to form larger and larger objects and eventually planets are produced the initial conditions are a disc of gas and microscopic solid particles with a total mass of about 1 of the gas mass accretion has to be effective and fast effective because the original total mass in solids in the solar protoplanetary disk was probably of the order of 300 earth masses and the mass incorporated into the planets is 100 earth masses fast because the cores of the giant planets had to grow to tens of earth masses in order to capture massive doses of hydrogen and helium from the disc before the dispersal of the latter ie in a few millions of years there is probably not one accretion process but several depending on the scale at which accretion operates a first process is the sticking of microscopic dust into larger grains and pebbles a second process is the formation of an intermediate class of objects called planetesimals a third accretion process has to lead from planetesimals to planets actually several processes can be involved in this step from collisional coagulation among planetesimals to the accretion of small particles under the effect of gas drag to giant impacts between protoplanets this chapter will detail all these processes adopting a historical perspective ie from the classic processes investigated in the past decades to those unveiled in the last years
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1,803.06709
p-wave superfluidity in mixtures of ultracold Fermi and spinor Bose gases
We reveal that the p-wave superfluid can be realized in a mixture of fermionic and F=1 bosonic gases. We derive a general set of the gap equations for gaps in the s- and p-channels. It is found that the spin-spin bose-fermi interactions favor the p-wave pairing and naturally suppress the pairing in the s-channel. The gap equations for the polar phase of p-wave superfluid fermions are numerically solved. It is shown that a pure p-wave superfluid can be observed in a well-controlled environment of atomic physics.
cond-mat.quant-gas
we reveal that the pwave superfluid can be realized in a mixture of fermionic and f1 bosonic gases we derive a general set of the gap equations for gaps in the s and pchannels it is found that the spinspin bosefermi interactions favor the pwave pairing and naturally suppress the pairing in the schannel the gap equations for the polar phase of pwave superfluid fermions are numerically solved it is shown that a pure pwave superfluid can be observed in a wellcontrolled environment of atomic physics
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1,803.0671
Almost all string graphs are intersection graphs of plane convex sets
A {\em string graph} is the intersection graph of a family of continuous arcs in the plane. The intersection graph of a family of plane convex sets is a string graph, but not all string graphs can be obtained in this way. We prove the following structure theorem conjectured by Janson and Uzzell: The vertex set of {\em almost all} string graphs on $n$ vertices can be partitioned into {\em five} cliques such that some pair of them is not connected by any edge ($n\rightarrow\infty$). We also show that every graph with the above property is an intersection graph of plane convex sets. As a corollary, we obtain that {\em almost all} string graphs on $n$ vertices are intersection graphs of plane convex sets.
math.CO cs.CG
a em string graph is the intersection graph of a family of continuous arcs in the plane the intersection graph of a family of plane convex sets is a string graph but not all string graphs can be obtained in this way we prove the following structure theorem conjectured by janson and uzzell the vertex set of em almost all string graphs on n vertices can be partitioned into em five cliques such that some pair of them is not connected by any edge nrightarrowinfty we also show that every graph with the above property is an intersection graph of plane convex sets as a corollary we obtain that em almost all string graphs on n vertices are intersection graphs of plane convex sets
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1,803.06711
A Dynamic Additive and Multiplicative Effects Model with Application to the United Nations Voting Behaviors
Motivated by a study of United Nations voting behaviors, we introduce a regression model for a series of networks that are correlated over time. Our model is a dynamic extension of the additive and multiplicative effects network model (AMEN) of Hoff (2019). In addition to incorporating a temporal structure, the model accommodates two types of missing data thus allows the size of the network to vary over time. We demonstrate via simulations the necessity of various components of the model. We apply the model to the United Nations General Assembly voting data from 1983 to 2014 (Voeten (2013)) to answer interesting research questions regarding international voting behaviors. In addition to finding important factors that could explain the voting behaviors, the model-estimated additive effects, multiplicative effects, and their movements reveal meaningful foreign policy positions and alliances of various countries.
stat.AP
motivated by a study of united nations voting behaviors we introduce a regression model for a series of networks that are correlated over time our model is a dynamic extension of the additive and multiplicative effects network model amen of hoff 2019 in addition to incorporating a temporal structure the model accommodates two types of missing data thus allows the size of the network to vary over time we demonstrate via simulations the necessity of various components of the model we apply the model to the united nations general assembly voting data from 1983 to 2014 voeten 2013 to answer interesting research questions regarding international voting behaviors in addition to finding important factors that could explain the voting behaviors the modelestimated additive effects multiplicative effects and their movements reveal meaningful foreign policy positions and alliances of various countries
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1,803.06712
Haar-$\mathcal I$ sets: looking at small sets in Polish groups through compact glasses
Generalizing Christensen's notion of a Haar-null set and Darji's notion of a Haar-meager set, we introduce and study the notion of a Haar-$\mathcal I$ set in a Polish group. Here $\mathcal I$ is an ideal of subsets of some compact metrizable space $K$. A Borel subset $B\subset X$ of a Polish group $X$ is called Haar-$\mathcal I$ if there exists a continuous map $f:K\to X$ such that $f^{-1}(B+x)\in\mathcal I$ for all $x\in X$. Moreover, $B$ is generically Haar-$\mathcal I$ if the set of witness functions $\{f\in C(K,X):\forall x\in X\;\;f^{-1}(B+x)\in\mathcal I\}$ is comeager in the function space $C(K,X)$. We study (generically) Haar-$\mathcal I$ sets in Polish groups for many concrete and abstract ideals $\mathcal I$, and construct the corresponding distinguishing examples. We prove some results on Borel hull of Haar-$\mathcal I$ sets, generalizing results of Solecki, Elekes, Vidny\'anszky, Dole\v{z}al, Vlas\v{a}k on Borel hulls of Haar-null and Haar-meager sets. Also we establish various Steinhaus properties of the families of (generically) Haar-$\mathcal I$ sets in Polish groups for various ideals $\mathcal I$.
math.GN math.GR
generalizing christensens notion of a haarnull set and darjis notion of a haarmeager set we introduce and study the notion of a haarmathcal i set in a polish group here mathcal i is an ideal of subsets of some compact metrizable space k a borel subset bsubset x of a polish group x is called haarmathcal i if there exists a continuous map fkto x such that f1bxinmathcal i for all xin x moreover b is generically haarmathcal i if the set of witness functions fin ckxforall xin xf1bxinmathcal i is comeager in the function space ckx we study generically haarmathcal i sets in polish groups for many concrete and abstract ideals mathcal i and construct the corresponding distinguishing examples we prove some results on borel hull of haarmathcal i sets generalizing results of solecki elekes vidnyanszky dolevzal vlasvak on borel hulls of haarnull and haarmeager sets also we establish various steinhaus properties of the families of generically haarmathcal i sets in polish groups for various ideals mathcal i
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1,803.06713
Four-manifolds with shadow-complexity one
We study the set of all closed oriented smooth 4-manifolds experimentally, according to a suitable complexity defined using Turaev's shadows. This complexity roughly measures how complicated the 2-skeleton of the 4-manifold is. We characterise here all the closed oriented 4-manifolds that have complexity at most one. They are generated by a certain set of 20 blocks, that are some basic 4-manifolds with boundary consisting of copies of $S^2 \times S^1$, plus connected sums with some copies of $\mathbb{CP}^2$ with either orientation. All the manifolds generated by these blocks are doubles. Many of these are doubles of 2-handlebodies and are hence efficiently encoded using finite presentations of groups. In contrast to the complexity zero case, in complexity one there are also plenty of doubles that are not doubles of 2-handlebodies, like for instance $\mathbb{RP}^3 \times S^1$.
math.GT
we study the set of all closed oriented smooth 4manifolds experimentally according to a suitable complexity defined using turaevs shadows this complexity roughly measures how complicated the 2skeleton of the 4manifold is we characterise here all the closed oriented 4manifolds that have complexity at most one they are generated by a certain set of 20 blocks that are some basic 4manifolds with boundary consisting of copies of s2 times s1 plus connected sums with some copies of mathbbcp2 with either orientation all the manifolds generated by these blocks are doubles many of these are doubles of 2handlebodies and are hence efficiently encoded using finite presentations of groups in contrast to the complexity zero case in complexity one there are also plenty of doubles that are not doubles of 2handlebodies like for instance mathbbrp3 times s1
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1,803.06714
Mathematics for cryo-electron microscopy
Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography and NMR spectroscopy as a high-resolution structural method for biological macromolecules. Cryo-EM was selected by Nature Methods as Method of the Year 2015, large scale investments in cryo-EM facilities are being made all over the world, and the Nobel Prize in Chemistry 2017 was awarded to Jacques Dubochet, Joachim Frank and Richard Henderson "for developing cryo-electron microscopy for the high-resolution structure determination of biomolecules in solution". This paper focuses on the mathematical principles underlying existing algorithms for structure determination using single particle cryo-EM.
physics.comp-ph math.HO
singleparticle cryoelectron microscopy cryoem has recently joined xray crystallography and nmr spectroscopy as a highresolution structural method for biological macromolecules cryoem was selected by nature methods as method of the year 2015 large scale investments in cryoem facilities are being made all over the world and the nobel prize in chemistry 2017 was awarded to jacques dubochet joachim frank and richard henderson for developing cryoelectron microscopy for the highresolution structure determination of biomolecules in solution this paper focuses on the mathematical principles underlying existing algorithms for structure determination using single particle cryoem
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1,803.06715
Restricting homology to hypersurfaces
This paper concerns the homological properties of a module $M$ over a commutative noetherian ring $R$ relative to a presentation $R\cong P/I$, where $P$ is local ring. It is proved that the Betti sequence of $M$ with respect to $P/(f)$ for a regular element $f$ in $I$ depends only on the class of $f$ in $I/\mathfrak{n} I$, where $\mathfrak{n}$ is the maximal ideal of $P$. Applications to the theory of supports sets in local algebra and in the modular representation theory of elementary abelian groups are presented.
math.AC math.GR
this paper concerns the homological properties of a module m over a commutative noetherian ring r relative to a presentation rcong pi where p is local ring it is proved that the betti sequence of m with respect to pf for a regular element f in i depends only on the class of f in imathfrakn i where mathfrakn is the maximal ideal of p applications to the theory of supports sets in local algebra and in the modular representation theory of elementary abelian groups are presented
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1,803.06716
High Dimensional Linear Regression using Lattice Basis Reduction
We consider a high dimensional linear regression problem where the goal is to efficiently recover an unknown vector $\beta^*$ from $n$ noisy linear observations $Y=X\beta^*+W \in \mathbb{R}^n$, for known $X \in \mathbb{R}^{n \times p}$ and unknown $W \in \mathbb{R}^n$. Unlike most of the literature on this model we make no sparsity assumption on $\beta^*$. Instead we adopt a regularization based on assuming that the underlying vectors $\beta^*$ have rational entries with the same denominator $Q \in \mathbb{Z}_{>0}$. We call this $Q$-rationality assumption. We propose a new polynomial-time algorithm for this task which is based on the seminal Lenstra-Lenstra-Lovasz (LLL) lattice basis reduction algorithm. We establish that under the $Q$-rationality assumption, our algorithm recovers exactly the vector $\beta^*$ for a large class of distributions for the iid entries of $X$ and non-zero noise $W$. We prove that it is successful under small noise, even when the learner has access to only one observation ($n=1$). Furthermore, we prove that in the case of the Gaussian white noise for $W$, $n=o\left(p/\log p\right)$ and $Q$ sufficiently large, our algorithm tolerates a nearly optimal information-theoretic level of the noise.
math.ST math.PR stat.ML stat.TH
we consider a high dimensional linear regression problem where the goal is to efficiently recover an unknown vector beta from n noisy linear observations yxbetaw in mathbbrn for known x in mathbbrn times p and unknown w in mathbbrn unlike most of the literature on this model we make no sparsity assumption on beta instead we adopt a regularization based on assuming that the underlying vectors beta have rational entries with the same denominator q in mathbbz_0 we call this qrationality assumption we propose a new polynomialtime algorithm for this task which is based on the seminal lenstralenstralovasz lll lattice basis reduction algorithm we establish that under the qrationality assumption our algorithm recovers exactly the vector beta for a large class of distributions for the iid entries of x and nonzero noise w we prove that it is successful under small noise even when the learner has access to only one observation n1 furthermore we prove that in the case of the gaussian white noise for w noleftplog pright and q sufficiently large our algorithm tolerates a nearly optimal informationtheoretic level of the noise
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1,803.06717
High frequency limits for invariant Ruelle densities
We establish an equidistribution result for Ruelle resonant states on compact locally symmetric spaces of rank one. More precisely, we prove that among the first band Ruelle resonances there is a density one subsequence such that the respective products of resonant and co-resonant states converge weakly to the Liouville measure. We prove this result by establishing an explicit quantum-classical correspondence between eigenspaces of the scalar Laplacian and the resonant states of the first band of Ruelle resonances which also leads to a new description of Patterson-Sullivan distributions.
math.AP math-ph math.DS math.MP math.SP
we establish an equidistribution result for ruelle resonant states on compact locally symmetric spaces of rank one more precisely we prove that among the first band ruelle resonances there is a density one subsequence such that the respective products of resonant and coresonant states converge weakly to the liouville measure we prove this result by establishing an explicit quantumclassical correspondence between eigenspaces of the scalar laplacian and the resonant states of the first band of ruelle resonances which also leads to a new description of pattersonsullivan distributions
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1,803.06718
Directional emphasis in ambisonics
We describe an ambisonics enhancement method that increases the signal strength in specified directions at low computational cost. The method can be used in a static setup to emphasize the signal arriving from a particular direction or set of directions. It can also be used in an adaptive arrangement where it sharpens directionality and reduces the distortion in timbre associated with low-degree ambisonics representations. The emphasis operator has very low computational complexity and can be applied to time-domain as well as time-frequency ambisonics representations. The operator upscales a low-degree ambisonics representation to a higher degree representation.
eess.AS cs.SD
we describe an ambisonics enhancement method that increases the signal strength in specified directions at low computational cost the method can be used in a static setup to emphasize the signal arriving from a particular direction or set of directions it can also be used in an adaptive arrangement where it sharpens directionality and reduces the distortion in timbre associated with lowdegree ambisonics representations the emphasis operator has very low computational complexity and can be applied to timedomain as well as timefrequency ambisonics representations the operator upscales a lowdegree ambisonics representation to a higher degree representation
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1,803.06719
Summability in a monomial for some classes of singularly perturbed partial differential equation
The aim of this paper is to continue the study of asymptotic expansions and summability in a monomial in any number of variables. In particular we characterize these expansions in terms of bounded derivatives and we develop tauberian theorems for the summability processes involved. Furthermore, we develop and apply the Borel-Laplace analysis in this framework to prove the monomial summability of solutions of a specific class of singularly perturbed PDEs.
math.CA
the aim of this paper is to continue the study of asymptotic expansions and summability in a monomial in any number of variables in particular we characterize these expansions in terms of bounded derivatives and we develop tauberian theorems for the summability processes involved furthermore we develop and apply the borellaplace analysis in this framework to prove the monomial summability of solutions of a specific class of singularly perturbed pdes
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1,803.0672
TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data
We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the app, we aim at collecting data for researching correlations between the tracked smartphone data and the user's personality in order to predict personality from smartphone data. In this paper, we highlight our approaches in addressing the challenges in developing such an app. We optimize the tracking of sensor data by assessing the trade-off of size of data and battery consumption and granularity of the stored information. Our user interface is designed to incentivize users to install the app and fill out questionnaires. TYDR processes and visualizes the tracked sensor and usage data as well as the results of the personality questionnaires. When developing an app that will be used in psychological studies, requirements posed by ethics commissions / institutional review boards and data protection officials have to be met. We detail our approaches concerning those requirements regarding the anonymized storing of user data, informing the users about the data collection, and enabling an opt-out option. We present our process for anonymized data storing while still being able to identify individual users who successfully completed a psychological study with the app.
cs.CY cs.HC
we present the android app tydr track your daily routine which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires with the app we aim at collecting data for researching correlations between the tracked smartphone data and the users personality in order to predict personality from smartphone data in this paper we highlight our approaches in addressing the challenges in developing such an app we optimize the tracking of sensor data by assessing the tradeoff of size of data and battery consumption and granularity of the stored information our user interface is designed to incentivize users to install the app and fill out questionnaires tydr processes and visualizes the tracked sensor and usage data as well as the results of the personality questionnaires when developing an app that will be used in psychological studies requirements posed by ethics commissions institutional review boards and data protection officials have to be met we detail our approaches concerning those requirements regarding the anonymized storing of user data informing the users about the data collection and enabling an optout option we present our process for anonymized data storing while still being able to identify individual users who successfully completed a psychological study with the app
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1,803.06721
A note on defect Mellin amplitudes
We generalize the Mellin representation for a generic co-dimension flat defect CFT. We study the analytic structure of the Mellin amplitudes. We also compute Witten diagrams for a generic co-dimension flat defect CFT.
hep-th
we generalize the mellin representation for a generic codimension flat defect cft we study the analytic structure of the mellin amplitudes we also compute witten diagrams for a generic codimension flat defect cft
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1,803.06722
Excluding joint probabilities from quantum theory
Quantum theory does not provide a unique definition for the joint probability of two non-commuting observables, which is the next important question after the Born's probability for a single observable. Instead, various definitions were suggested, e.g. via quasi-probabilities or via hidden-variable theories. After reviewing open issues of the joint probability, we relate it to quantum imprecise probabilities, which are non-contextual and are consistent with all constraints expected from a quantum probability. We study two non-commuting observables in a two-dimensional Hilbert space and show that there is no precise joint probability that applies for any quantum state and is consistent with imprecise probabilities. This contrasts to theorems by Bell and Kochen-Specker that exclude joint probabilities for more than two non-commuting observables, in Hilbert space with dimension larger than two. If measurement contexts are included into the definition, joint probabilities are not anymore excluded, but they are still constrained by imprecise probabilities.
quant-ph cond-mat.stat-mech physics.data-an
quantum theory does not provide a unique definition for the joint probability of two noncommuting observables which is the next important question after the borns probability for a single observable instead various definitions were suggested eg via quasiprobabilities or via hiddenvariable theories after reviewing open issues of the joint probability we relate it to quantum imprecise probabilities which are noncontextual and are consistent with all constraints expected from a quantum probability we study two noncommuting observables in a twodimensional hilbert space and show that there is no precise joint probability that applies for any quantum state and is consistent with imprecise probabilities this contrasts to theorems by bell and kochenspecker that exclude joint probabilities for more than two noncommuting observables in hilbert space with dimension larger than two if measurement contexts are included into the definition joint probabilities are not anymore excluded but they are still constrained by imprecise probabilities
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1,803.06723
Universality in statistics of Stokes flow over no-slip wall with random roughness
Stochastic roughness is widespread feature of natural surfaces and is an inherent by-product of most fabrication techniques. In view of rapid development of microfluidics, the important question is how this inevitable evil affects the low-Reynolds flows which are common for micro-devices. Moreover, one could potentially turn the flaw into a virtue and control the flow properties by means of specially "tuned" random roughness. In this paper we investigate theoretically the statistics of fluctuations in fluid velocity produced by the waviness irregularities at the surface of a no-slip wall. Particular emphasis is laid on the issue of the universality of our findings.
physics.flu-dyn
stochastic roughness is widespread feature of natural surfaces and is an inherent byproduct of most fabrication techniques in view of rapid development of microfluidics the important question is how this inevitable evil affects the lowreynolds flows which are common for microdevices moreover one could potentially turn the flaw into a virtue and control the flow properties by means of specially tuned random roughness in this paper we investigate theoretically the statistics of fluctuations in fluid velocity produced by the waviness irregularities at the surface of a noslip wall particular emphasis is laid on the issue of the universality of our findings
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1,803.06724
Melting a Hubbard dimer: benchmarks of `ALDA' for quantum thermodynamics
The competition between evolution time, interaction strength, and temperature challenges our understanding of many-body quantum systems out-of-equilibrium. Here we consider a benchmark system, the Hubbard dimer, which allows us to explore all the relevant regimes and calculate exactly the related average quantum work. At difference with previous studies, we focus on the effect of increasing temperature, and show how this can turn competition between many-body interactions and driving field into synergy. We then turn to use recently proposed protocols inspired by density functional theory to explore if these effects could be reproduced by using simple approximations. We find that, up to and including intermediate temperatures, a method which borrows from ground-state adiabatic local density approximation improves dramatically the estimate for the average quantum work, including, in the adiabatic regime, when correlations are strong. However at high temperature and at least when based on the pseudo-LDA, this method fails to capture the counterintuitive qualitative dependence of the quantum work with interaction strength, albeit getting the quantitative estimates relatively close to the exact results.
quant-ph cond-mat.mtrl-sci cond-mat.str-el
the competition between evolution time interaction strength and temperature challenges our understanding of manybody quantum systems outofequilibrium here we consider a benchmark system the hubbard dimer which allows us to explore all the relevant regimes and calculate exactly the related average quantum work at difference with previous studies we focus on the effect of increasing temperature and show how this can turn competition between manybody interactions and driving field into synergy we then turn to use recently proposed protocols inspired by density functional theory to explore if these effects could be reproduced by using simple approximations we find that up to and including intermediate temperatures a method which borrows from groundstate adiabatic local density approximation improves dramatically the estimate for the average quantum work including in the adiabatic regime when correlations are strong however at high temperature and at least when based on the pseudolda this method fails to capture the counterintuitive qualitative dependence of the quantum work with interaction strength albeit getting the quantitative estimates relatively close to the exact results
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1,803.06725
Detection under One-Bit Messaging over Adaptive Networks
This work studies the operation of multi-agent networks engaged in binary decision tasks, and derives performance expressions and performance operating curves under challenging conditions with some revealing insights. One of the main challenges in the analysis is that agents are only allowed to exchange one-bit messages, and the information at each agent therefore consists of both continuous and discrete components. Due to this mixed nature, the steady-state distribution of the state of each agent cannot be inferred from direct application of central limit arguments. Instead, the behavior of the continuous component is characterized in integral form by using a log-characteristic function, while the behavior of the discrete component is characterized by means of an asymmetric Bernoulli convolution. By exploiting these results, the article derives reliable approximate performance expressions for the network nodes that match well with the simulated results for a wide range of system parameters. The results also reveal an important interplay between continuous adaptation under constant step-size learning and the binary nature of the messages exchanged with neighbors.
cs.MA
this work studies the operation of multiagent networks engaged in binary decision tasks and derives performance expressions and performance operating curves under challenging conditions with some revealing insights one of the main challenges in the analysis is that agents are only allowed to exchange onebit messages and the information at each agent therefore consists of both continuous and discrete components due to this mixed nature the steadystate distribution of the state of each agent cannot be inferred from direct application of central limit arguments instead the behavior of the continuous component is characterized in integral form by using a logcharacteristic function while the behavior of the discrete component is characterized by means of an asymmetric bernoulli convolution by exploiting these results the article derives reliable approximate performance expressions for the network nodes that match well with the simulated results for a wide range of system parameters the results also reveal an important interplay between continuous adaptation under constant stepsize learning and the binary nature of the messages exchanged with neighbors
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1,803.06726
Theory of Orbital Magnetic Quadrupole Moment and Nonlinear Anomalous Thermoelectric Transport
We present a microscopic theory of the magnetic quadrupole moment density $\mathcal{Q}_{ij}$ in periodic crystals with combined time reversal ($\mathcal{T}$) and inversion ($\mathcal{I}$) symmetry. We obtain a gauge-invariant expression with clear physical interpretation and demonstrate the typical behaviour of $\mathcal{Q}_{ij}$ in a minimal two-band model that hosts a tilted Dirac cone. We then show that $\mathcal{Q}_{ij}$ leads to an intrinsic nonlinear anomalous thermoelectric current. As an example, we calculate the nonlinear Nernst and Hall current in the loop-current model for cuprate superconductors, and demonstrate their unique behaviour and capability of indicating $\mathcal{TI}$-invariance.
cond-mat.mes-hall
we present a microscopic theory of the magnetic quadrupole moment density mathcalq_ij in periodic crystals with combined time reversal mathcalt and inversion mathcali symmetry we obtain a gaugeinvariant expression with clear physical interpretation and demonstrate the typical behaviour of mathcalq_ij in a minimal twoband model that hosts a tilted dirac cone we then show that mathcalq_ij leads to an intrinsic nonlinear anomalous thermoelectric current as an example we calculate the nonlinear nernst and hall current in the loopcurrent model for cuprate superconductors and demonstrate their unique behaviour and capability of indicating mathcaltiinvariance
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1,803.06727
Aggregating Strategies for Long-term Forecasting
The article is devoted to investigating the application of aggregating algorithms to the problem of the long-term forecasting. We examine the classic aggregating algorithms based on the exponential reweighing. For the general Vovk's aggregating algorithm we provide its generalization for the long-term forecasting. For the special basic case of Vovk's algorithm we provide its two modifications for the long-term forecasting. The first one is theoretically close to an optimal algorithm and is based on replication of independent copies. It provides the time-independent regret bound with respect to the best expert in the pool. The second one is not optimal but is more practical and has $O(\sqrt{T})$ regret bound, where $T$ is the length of the game.
cs.LG math.PR math.ST stat.ML stat.TH
the article is devoted to investigating the application of aggregating algorithms to the problem of the longterm forecasting we examine the classic aggregating algorithms based on the exponential reweighing for the general vovks aggregating algorithm we provide its generalization for the longterm forecasting for the special basic case of vovks algorithm we provide its two modifications for the longterm forecasting the first one is theoretically close to an optimal algorithm and is based on replication of independent copies it provides the timeindependent regret bound with respect to the best expert in the pool the second one is not optimal but is more practical and has osqrtt regret bound where t is the length of the game
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1,803.06728
A non-intersecting random walk on the Manhattan lattice and SLE_6
We consider a random walk on the Manhattan lattice. The walker must follow the orientations of the bonds in this lattice, and the walker is not allowed to visit a site more than once. When both possible steps are allowed, the walker chooses between them with equal probability. The walks generated by this model are known to be related to interfaces for bond percolation on a square lattice. So it is natural to conjecture that the scaling limit is SLE$_6$. We test this conjecture with Monte Carlo simulations of the random walk model and find strong support for the conjecture.
math.PR math-ph math.MP
we consider a random walk on the manhattan lattice the walker must follow the orientations of the bonds in this lattice and the walker is not allowed to visit a site more than once when both possible steps are allowed the walker chooses between them with equal probability the walks generated by this model are known to be related to interfaces for bond percolation on a square lattice so it is natural to conjecture that the scaling limit is sle_6 we test this conjecture with monte carlo simulations of the random walk model and find strong support for the conjecture
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1,803.06729
Polar polarization: a new method for polarimetry analysis
We present a novel analysis method for measurements of polarization transferred in $A(\vec{e},e'\vec{N})$ experiments, which can be applied to other kinds of polarization measurements as well. In this method the polarization transfer components are presented in spherical coordinates using an efficient likelihood numerical maximization based on an analytic derivation. We also propose a formalism that accounts for multi-parameter models, and which yields a smooth and continuous representation of the data (rather than using standard binning). Applying this method on simulated data generates results with reduced statistical and systematic uncertainties and enables revealing physical information that is lost in standard binning of the data. The obtained results can be compared easily to theoretical models and other measurements. Furthermore, CPU time is significantly reduced using this method.
nucl-th hep-ph nucl-ex
we present a novel analysis method for measurements of polarization transferred in aveceevecn experiments which can be applied to other kinds of polarization measurements as well in this method the polarization transfer components are presented in spherical coordinates using an efficient likelihood numerical maximization based on an analytic derivation we also propose a formalism that accounts for multiparameter models and which yields a smooth and continuous representation of the data rather than using standard binning applying this method on simulated data generates results with reduced statistical and systematic uncertainties and enables revealing physical information that is lost in standard binning of the data the obtained results can be compared easily to theoretical models and other measurements furthermore cpu time is significantly reduced using this method
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1,803.0673
Combining Probabilistic Load Forecasts
Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting. Forecast combination, a widely recognized best practice in point forecasting literature, has never been formally adopted to combine probabilistic load forecasts. This paper proposes a constrained quantile regression averaging (CQRA) method to create an improved ensemble from several individual probabilistic forecasts. We formulate the CQRA parameter estimation problem as a linear program with the objective of minimizing the pinball loss, with the constraints that the parameters are nonnegative and summing up to one. We demonstrate the effectiveness of the proposed method using two publicly available datasets, the ISO New England data and Irish smart meter data. Comparing with the best individual probabilistic forecast, the ensemble can reduce the pinball score by 4.39% on average. The proposed ensemble also demonstrates superior performance over nine other benchmark ensembles.
stat.AP
probabilistic load forecasts provide comprehensive information about future load uncertainties in recent years many methodologies and techniques have been proposed for probabilistic load forecasting forecast combination a widely recognized best practice in point forecasting literature has never been formally adopted to combine probabilistic load forecasts this paper proposes a constrained quantile regression averaging cqra method to create an improved ensemble from several individual probabilistic forecasts we formulate the cqra parameter estimation problem as a linear program with the objective of minimizing the pinball loss with the constraints that the parameters are nonnegative and summing up to one we demonstrate the effectiveness of the proposed method using two publicly available datasets the iso new england data and irish smart meter data comparing with the best individual probabilistic forecast the ensemble can reduce the pinball score by 439 on average the proposed ensemble also demonstrates superior performance over nine other benchmark ensembles
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1,803.06731
Discriminative Learning of Latent Features for Zero-Shot Recognition
Zero-shot learning (ZSL) aims to recognize unseen image categories by learning an embedding space between image and semantic representations. For years, among existing works, it has been the center task to learn the proper mapping matrices aligning the visual and semantic space, whilst the importance to learn discriminative representations for ZSL is ignored. In this work, we retrospect existing methods and demonstrate the necessity to learn discriminative representations for both visual and semantic instances of ZSL. We propose an end-to-end network that is capable of 1) automatically discovering discriminative regions by a zoom network; and 2) learning discriminative semantic representations in an augmented space introduced for both user-defined and latent attributes. Our proposed method is tested extensively on two challenging ZSL datasets, and the experiment results show that the proposed method significantly outperforms state-of-the-art methods.
cs.CV
zeroshot learning zsl aims to recognize unseen image categories by learning an embedding space between image and semantic representations for years among existing works it has been the center task to learn the proper mapping matrices aligning the visual and semantic space whilst the importance to learn discriminative representations for zsl is ignored in this work we retrospect existing methods and demonstrate the necessity to learn discriminative representations for both visual and semantic instances of zsl we propose an endtoend network that is capable of 1 automatically discovering discriminative regions by a zoom network and 2 learning discriminative semantic representations in an augmented space introduced for both userdefined and latent attributes our proposed method is tested extensively on two challenging zsl datasets and the experiment results show that the proposed method significantly outperforms stateoftheart methods
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1,803.06732
A class of asymmetric regression models for left-censored data
A common assumption regarding the standard tobit model is the normality of the error distribution. However, asymmetry and bimodality may be present and alternative tobit models must be used. In this paper, we propose a tobit model based on the class of log-symmetric distributions, which includes as special cases heavy and light tailed distributions and bimodal distributions. We implement a likelihood-based approach for parameter estimation and derive a type of residual. We then discuss the problem of performing testing inference in the proposed class by using the likelihood ratio and gradient statistics, which are particularly convenient for tobit models, as they do not require the information matrix. A thorough Monte Carlo study is presented to evaluate the performance of the maximum likelihood estimators and the likelihood ratio and gradient tests. Finally, we illustrate the proposed methodology by using a real-world data set.
stat.ME
a common assumption regarding the standard tobit model is the normality of the error distribution however asymmetry and bimodality may be present and alternative tobit models must be used in this paper we propose a tobit model based on the class of logsymmetric distributions which includes as special cases heavy and light tailed distributions and bimodal distributions we implement a likelihoodbased approach for parameter estimation and derive a type of residual we then discuss the problem of performing testing inference in the proposed class by using the likelihood ratio and gradient statistics which are particularly convenient for tobit models as they do not require the information matrix a thorough monte carlo study is presented to evaluate the performance of the maximum likelihood estimators and the likelihood ratio and gradient tests finally we illustrate the proposed methodology by using a realworld data set
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1,803.06733
Combinatorial bases of principal subspaces of modules for twisted affine Lie algebras of type $A_{2l-1}^{(2)}$, $D_l^{(2)}$, $E_6^{(2)}$ and $D_4^{(3)}$
We construct combinatorial bases of principal subspaces of standard modules of level $k \geq 1$ with highest weight $k\Lambda_0$ for the twisted affine Lie algebras of type $A_{2l-1}^{(2)}$, $D_l^{(2)}$, $E_6^{(2)}$ and $D_4^{(3)}$. Using these bases we directly calculate characters of principal subspaces.
math.QA math.RT
we construct combinatorial bases of principal subspaces of standard modules of level k geq 1 with highest weight klambda_0 for the twisted affine lie algebras of type a_2l12 d_l2 e_62 and d_43 using these bases we directly calculate characters of principal subspaces
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1,803.06734
The Strategic LQG System: A Dynamic Stochastic VCG Framework for Optimal Coordination
The classic Vickrey-Clarke-Groves (VCG) mechanism ensures incentive compatibility, i.e., that truth-telling of all agents is a dominant strategy, for a static one-shot game. However, in a dynamic environment that unfolds over time, the agents' intertemporal payoffs depend on the expected future controls and payments, and a direct extension of the VCG mechanism is not sufficient to guarantee incentive compatibility. In fact, it does not appear to be feasible to construct mechanisms that ensure the dominance of dynamic truth-telling for agents comprised of general stochastic dynamic systems. The contribution of this paper is to show that such a dynamic stochastic extension does exist for the special case of Linear-Quadratic-Gaussian (LQG) agents with a careful construction of a sequence of layered payments over time. For a set of LQG agents, we propose a modified layered version of the VCG mechanism for payments that decouples the intertemporal effect of current bids on future payoffs, and prove that truth-telling of dynamic states forms a dominant strategy if system parameters are known and agents are rational. An important example of a problem needing such optimal dynamic coordination of stochastic agents arises in power systems where an Independent System Operator (ISO) has to ensure balance of generation and consumption at all time instants, while ensuring social optimality. The challenge is to determine a bidding scheme between all agents and the ISO that maximizes social welfare, while taking into account the stochastic dynamic models of agents, since renewable energy resources such as solar/wind are stochastic and dynamic in nature, as are consumptions by loads which are influenced by factors such as local temperatures and thermal inertias of facilities.
eess.SY cs.SY
the classic vickreyclarkegroves vcg mechanism ensures incentive compatibility ie that truthtelling of all agents is a dominant strategy for a static oneshot game however in a dynamic environment that unfolds over time the agents intertemporal payoffs depend on the expected future controls and payments and a direct extension of the vcg mechanism is not sufficient to guarantee incentive compatibility in fact it does not appear to be feasible to construct mechanisms that ensure the dominance of dynamic truthtelling for agents comprised of general stochastic dynamic systems the contribution of this paper is to show that such a dynamic stochastic extension does exist for the special case of linearquadraticgaussian lqg agents with a careful construction of a sequence of layered payments over time for a set of lqg agents we propose a modified layered version of the vcg mechanism for payments that decouples the intertemporal effect of current bids on future payoffs and prove that truthtelling of dynamic states forms a dominant strategy if system parameters are known and agents are rational an important example of a problem needing such optimal dynamic coordination of stochastic agents arises in power systems where an independent system operator iso has to ensure balance of generation and consumption at all time instants while ensuring social optimality the challenge is to determine a bidding scheme between all agents and the iso that maximizes social welfare while taking into account the stochastic dynamic models of agents since renewable energy resources such as solarwind are stochastic and dynamic in nature as are consumptions by loads which are influenced by factors such as local temperatures and thermal inertias of facilities
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1,803.06735
Bayesian ROC surface estimation under verification bias
The Receiver Operating Characteristic (ROC) surface is a generalization of ROC curve and is widely used for assessment of the accuracy of diagnostic tests on three categories. A complication called the verification bias, meaning that not all subjects have their true disease status verified often occur in real application of ROC analysis. This is a common problem since the gold standard test, which is used to generate true disease status, can be invasive and expensive. In this paper, we will propose a Bayesian approach for estimating the ROC surface based on continuous data under a semi-parametric trinormality assumption. Our proposed method often adopted in ROC analysis can also be extended to situation in the presence of verification bias. We compute the posterior distribution of the parameters under trinormality assumption by using a rank-based likelihood. Consistency of the posterior under mild conditions is also established. We compare our method with the existing methods for estimating ROC surface and conclude that our method performs well in terms of accuracy.
stat.AP stat.ME
the receiver operating characteristic roc surface is a generalization of roc curve and is widely used for assessment of the accuracy of diagnostic tests on three categories a complication called the verification bias meaning that not all subjects have their true disease status verified often occur in real application of roc analysis this is a common problem since the gold standard test which is used to generate true disease status can be invasive and expensive in this paper we will propose a bayesian approach for estimating the roc surface based on continuous data under a semiparametric trinormality assumption our proposed method often adopted in roc analysis can also be extended to situation in the presence of verification bias we compute the posterior distribution of the parameters under trinormality assumption by using a rankbased likelihood consistency of the posterior under mild conditions is also established we compare our method with the existing methods for estimating roc surface and conclude that our method performs well in terms of accuracy
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1,803.06736
Effect of gap anisotropy on the spin resonance peak in the superconducting state of iron-based materials
Spin resonance in the superconducting state of Fe-based materials within the multiorbital model with unequal anisotropic gaps on different Fermi surface sheets is studied. On the basis of the model gap function and the one calculated within the spin fluctuation theory of pairing, I show that the resonance peak shifts to higher frequencies with increasing the zero-amplitude gap magnitude. On the contrary, with increasing the gap anisotropy, it shifts to lower frequencies and lose some intensity.
cond-mat.supr-con
spin resonance in the superconducting state of febased materials within the multiorbital model with unequal anisotropic gaps on different fermi surface sheets is studied on the basis of the model gap function and the one calculated within the spin fluctuation theory of pairing i show that the resonance peak shifts to higher frequencies with increasing the zeroamplitude gap magnitude on the contrary with increasing the gap anisotropy it shifts to lower frequencies and lose some intensity
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1,803.06737
Optimal control policies for evolutionary dynamics with environmental feedback
We study a dynamical model of a population of cooperators and defectors whose actions have long-term consequences on environmental "commons" - what we term the "resource". Cooperators contribute to restoring the resource whereas defectors degrade it. The population dynamics evolve according to a replicator equation coupled with an environmental state. Our goal is to identify methods of influencing the population with the objective to maximize accumulation of the resource. In particular, we consider strategies that modify individual-level incentives. We then extend the model to incorporate a public opinion state that imperfectly tracks the true environmental state, and study strategies that influence opinion. We formulate optimal control problems and solve them using numerical techniques to characterize locally optimal control policies for three problem formulations: 1) control of incentives, and control of opinions through 2) propaganda-like strategies and 3) awareness campaigns. We show numerically that the resulting controllers in all formulations achieve the objective, albeit with an unintended consequence. The resulting dynamics include cycles between low and high resource states - a dynamical regime termed an "oscillating tragedy of the commons". This outcome may have desirable average properties, but includes risks to resource depletion. Our findings suggest the need for new approaches to controlling coupled population-environment dynamics.
cs.SY
we study a dynamical model of a population of cooperators and defectors whose actions have longterm consequences on environmental commons what we term the resource cooperators contribute to restoring the resource whereas defectors degrade it the population dynamics evolve according to a replicator equation coupled with an environmental state our goal is to identify methods of influencing the population with the objective to maximize accumulation of the resource in particular we consider strategies that modify individuallevel incentives we then extend the model to incorporate a public opinion state that imperfectly tracks the true environmental state and study strategies that influence opinion we formulate optimal control problems and solve them using numerical techniques to characterize locally optimal control policies for three problem formulations 1 control of incentives and control of opinions through 2 propagandalike strategies and 3 awareness campaigns we show numerically that the resulting controllers in all formulations achieve the objective albeit with an unintended consequence the resulting dynamics include cycles between low and high resource states a dynamical regime termed an oscillating tragedy of the commons this outcome may have desirable average properties but includes risks to resource depletion our findings suggest the need for new approaches to controlling coupled populationenvironment dynamics
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1,803.06738
Large-Scale Dynamic Predictive Regressions
We develop a novel "decouple-recouple" dynamic predictive strategy and contribute to the literature on forecasting and economic decision making in a data-rich environment. Under this framework, clusters of predictors generate different latent states in the form of predictive densities that are later synthesized within an implied time-varying latent factor model. As a result, the latent inter-dependencies across predictive densities and biases are sequentially learned and corrected. Unlike sparse modeling and variable selection procedures, we do not assume a priori that there is a given subset of active predictors, which characterize the predictive density of a quantity of interest. We test our procedure by investigating the predictive content of a large set of financial ratios and macroeconomic variables on both the equity premium across different industries and the inflation rate in the U.S., two contexts of topical interest in finance and macroeconomics. We find that our predictive synthesis framework generates both statistically and economically significant out-of-sample benefits while maintaining interpretability of the forecasting variables. In addition, the main empirical results highlight that our proposed framework outperforms both LASSO-type shrinkage regressions, factor based dimension reduction, sequential variable selection, and equal-weighted linear pooling methodologies.
stat.ME econ.EM q-fin.ST
we develop a novel decouplerecouple dynamic predictive strategy and contribute to the literature on forecasting and economic decision making in a datarich environment under this framework clusters of predictors generate different latent states in the form of predictive densities that are later synthesized within an implied timevarying latent factor model as a result the latent interdependencies across predictive densities and biases are sequentially learned and corrected unlike sparse modeling and variable selection procedures we do not assume a priori that there is a given subset of active predictors which characterize the predictive density of a quantity of interest we test our procedure by investigating the predictive content of a large set of financial ratios and macroeconomic variables on both the equity premium across different industries and the inflation rate in the us two contexts of topical interest in finance and macroeconomics we find that our predictive synthesis framework generates both statistically and economically significant outofsample benefits while maintaining interpretability of the forecasting variables in addition the main empirical results highlight that our proposed framework outperforms both lassotype shrinkage regressions factor based dimension reduction sequential variable selection and equalweighted linear pooling methodologies
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1,803.06739
A Construction of the Stable Web
We provide a process on the space of coalescing cadlag stable paths and show convergence in the appropriate topology for coalescing stable random walks on the integer lattice.
math.PR
we provide a process on the space of coalescing cadlag stable paths and show convergence in the appropriate topology for coalescing stable random walks on the integer lattice
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1,803.0674
Metabolomic signature of type 1 diabetes-induced sensory loss and nerve damage in diabetic neuropathy
Diabetic-induced peripheral neuropathy (DPN) is a diabetic late complication. The molecular mechanisms underlying the pathophysiology of nerve damage & sensory loss remain largely unclear. Recently, alterations in metabolic flux have gained attention a basis for organ damage in diabetes; however, peripheral sensory neurons have not been adequately analyzed. In the present study, we attempted to delineate the role of alteration of metabolic pathways in relation to nerve damage & sensory loss. We employed STZ-injected mouse model of type1 diabetes. To investigate the progression of DPN by behavioral measurements of sensitivity to thermal & mechanical stimuli and quantitative assessment of intraepidermal nerve fiber density. We employed a MS-based screen to address alterations in levels of metabolites in peripheral sciatic nerve (SN) & amino acids (AA) in serum over several months post-STZ administration. Although hyperglycemia & body weight changes occurred early, sensory loss & reduced intraepithelial branching of nociceptive nerves was only evident at 22 wks post-STZ. The longitudinal metabolites screen in SN demonstrated that mice at 12 and 22 wks post-STZ showed an early impairment the tricarboxylic acid. We found that levels of citric acid, ketoglutaric acid, succinic acid, fumaric acid & malic acid were observed to be significantly reduced in SN at 22 wks post-STZ. In addition, we also found the increase in levels of sorbitol & L-Lactate in SN from 12 wks post-STZ injection. AA screen in serum showed that the amino acids Val, Ile and Leu, increased more than 2-fold from 12 wks post-STZ. Similarly, the levels of Tyr, Asn, Ser, His, Ala, & Pro showed progressive increase. Our results indicate that the impaired TCA cycle metabolites in peripheral nerve is the primary cause of shunting metabolic substrate to compensatory pathways which leads to mitochondrial dysfunction & nerve damage.
q-bio.CB q-bio.TO
diabeticinduced peripheral neuropathy dpn is a diabetic late complication the molecular mechanisms underlying the pathophysiology of nerve damage sensory loss remain largely unclear recently alterations in metabolic flux have gained attention a basis for organ damage in diabetes however peripheral sensory neurons have not been adequately analyzed in the present study we attempted to delineate the role of alteration of metabolic pathways in relation to nerve damage sensory loss we employed stzinjected mouse model of type1 diabetes to investigate the progression of dpn by behavioral measurements of sensitivity to thermal mechanical stimuli and quantitative assessment of intraepidermal nerve fiber density we employed a msbased screen to address alterations in levels of metabolites in peripheral sciatic nerve sn amino acids aa in serum over several months poststz administration although hyperglycemia body weight changes occurred early sensory loss reduced intraepithelial branching of nociceptive nerves was only evident at 22 wks poststz the longitudinal metabolites screen in sn demonstrated that mice at 12 and 22 wks poststz showed an early impairment the tricarboxylic acid we found that levels of citric acid ketoglutaric acid succinic acid fumaric acid malic acid were observed to be significantly reduced in sn at 22 wks poststz in addition we also found the increase in levels of sorbitol llactate in sn from 12 wks poststz injection aa screen in serum showed that the amino acids val ile and leu increased more than 2fold from 12 wks poststz similarly the levels of tyr asn ser his ala pro showed progressive increase our results indicate that the impaired tca cycle metabolites in peripheral nerve is the primary cause of shunting metabolic substrate to compensatory pathways which leads to mitochondrial dysfunction nerve damage
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1,803.06741
Superconducting Magnetic Bearings Simulation using an H-formulation Finite Element Model
The modeling of superconducting magnetic bearing (SMB) is of great significance for predicting and optimizing its levitation performance before construction. Although lots of efforts have been made in this area, it still remains some space for improvements. Thus the goal of this work is to report a flexible, fast and trustworthy H-formulation finite element model. First the methodology for modeling and calibrating both bulk-type and stack-type SMB is summarized. Then its effectiveness for simulating SMBs in 2-D, 2-D axisymmetric and 3-D is evaluated by comparison with measurements. In particular, original solutions to overcome several obstacles are given: clarification of the calibration procedure for stack-type and bulk-type SMBs, details on the experimental protocol to obtain reproducible measurements, validation of the 2-D model for a stack-type SMB modeling the tapes real thickness, implementation of a 2-D axisymmetric SMB model, implementation of a 3-D SMB model, extensive validation of the models by comparison with experimental results for field cooling and zero field cooling, for both vertical and lateral movements. The accuracy of the model being proved, it has now a strong potential for speeding up the development of numerous applications including maglev vehicles, magnetic launchers, flywheel energy storage systems, motor bearings and cosmic microwave background polarimeters.
cond-mat.supr-con
the modeling of superconducting magnetic bearing smb is of great significance for predicting and optimizing its levitation performance before construction although lots of efforts have been made in this area it still remains some space for improvements thus the goal of this work is to report a flexible fast and trustworthy hformulation finite element model first the methodology for modeling and calibrating both bulktype and stacktype smb is summarized then its effectiveness for simulating smbs in 2d 2d axisymmetric and 3d is evaluated by comparison with measurements in particular original solutions to overcome several obstacles are given clarification of the calibration procedure for stacktype and bulktype smbs details on the experimental protocol to obtain reproducible measurements validation of the 2d model for a stacktype smb modeling the tapes real thickness implementation of a 2d axisymmetric smb model implementation of a 3d smb model extensive validation of the models by comparison with experimental results for field cooling and zero field cooling for both vertical and lateral movements the accuracy of the model being proved it has now a strong potential for speeding up the development of numerous applications including maglev vehicles magnetic launchers flywheel energy storage systems motor bearings and cosmic microwave background polarimeters
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1,803.06742
Inventory Control with Modulated Demand and a Partially Observed Modulation Process
We consider a periodic review inventory control problem having an underlying modulation process that affects demand and that is partially observed by the uncensored demand process and a novel additional observation data (AOD) process. We present an attainability condition, AC, that guarantees the existence of an optimal myopic base stock policy if the reorder cost $K=0$ and the existence of an optimal $(s, S)$ policy if $K>0$, where both policies depend on the belief function of the modulation process. Assuming AC holds, we show that (i) when $K=0$, the value of the optimal base stock level is constant within regions of the belief space and that each region can be described by two linear inequalities and (ii) when $K>0$, the values of $s$ and $S$ and upper and lower bounds on these values are constant within regions of the belief space and that these regions can be described by a finite set of linear inequalities. A heuristic and bounds for the $K=0$ case are presented when AC does not hold. Special cases of this inventory control problem include problems considered in the Markov-modulated demand and Bayesian updating literatures.
math.OC
we consider a periodic review inventory control problem having an underlying modulation process that affects demand and that is partially observed by the uncensored demand process and a novel additional observation data aod process we present an attainability condition ac that guarantees the existence of an optimal myopic base stock policy if the reorder cost k0 and the existence of an optimal s s policy if k0 where both policies depend on the belief function of the modulation process assuming ac holds we show that i when k0 the value of the optimal base stock level is constant within regions of the belief space and that each region can be described by two linear inequalities and ii when k0 the values of s and s and upper and lower bounds on these values are constant within regions of the belief space and that these regions can be described by a finite set of linear inequalities a heuristic and bounds for the k0 case are presented when ac does not hold special cases of this inventory control problem include problems considered in the markovmodulated demand and bayesian updating literatures
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1,803.06743
Raising the superconducting $T_\mathrm{c}$ of gallium: in-situ characterization of the transformation of $\alpha$-Ga into $\beta$-Ga
Gallium (Ga) displays several metastable phases. Superconductivity is strongly enhanced in the metastable $\mathrm{\beta}$-Ga with a critical temperature $T_\mathrm{c}= 6.04(5)\,\mathrm{K}$, while stable $\mathrm{\alpha}$-Ga has a much lower $T_\mathrm{c}<1.2\,\mathrm{K}$. Here we use a membrane-based nanocalorimeter to initiate the transition from $\mathrm{\alpha}$-Ga to $\mathrm{\beta}$-Ga on demand, as well as study the specific heat of the two phases on one and the same sample. The in-situ transformation is initiated by bringing the temperature to about $10\,\mathrm{K}$ above the melting temperature of $\mathrm{\alpha}$-Ga. After such treatment, the liquid supercools down to $232\,\mathrm{K}$, where $\mathrm{\beta}$-Ga solidifies. We find that $\mathrm{\beta}$-Ga is a strong-coupling type-I superconductor with $\Delta(0)/k_\mathrm{B}T_\mathrm{c} =2.00(5)$ and a Sommerfeld coefficient $\gamma_\mathrm{n} = 1.53(4)\,\mathrm{mJ/molK^2}$, 2.55 times higher than that in the $\alpha$ phase. The results allow a detailed comparison of fundamental thermodynamic properties between the two phases.
cond-mat.supr-con
gallium ga displays several metastable phases superconductivity is strongly enhanced in the metastable mathrmbetaga with a critical temperature t_mathrmc 6045mathrmk while stable mathrmalphaga has a much lower t_mathrmc12mathrmk here we use a membranebased nanocalorimeter to initiate the transition from mathrmalphaga to mathrmbetaga on demand as well as study the specific heat of the two phases on one and the same sample the insitu transformation is initiated by bringing the temperature to about 10mathrmk above the melting temperature of mathrmalphaga after such treatment the liquid supercools down to 232mathrmk where mathrmbetaga solidifies we find that mathrmbetaga is a strongcoupling typei superconductor with delta0k_mathrmbt_mathrmc 2005 and a sommerfeld coefficient gamma_mathrmn 1534mathrmmjmolk2 255 times higher than that in the alpha phase the results allow a detailed comparison of fundamental thermodynamic properties between the two phases
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1,803.06744
Fast Neural Architecture Construction using EnvelopeNets
Fast Neural Architecture Construction (NAC) is a method to construct deep network architectures by pruning and expansion of a base network. In recent years, several automated search methods for neural network architectures have been proposed using methods such as evolutionary algorithms and reinforcement learning. These methods use a single scalar objective function (usually accuracy) that is evaluated after a full training and evaluation cycle. In contrast NAC directly compares the utility of different filters using statistics derived from filter featuremaps reach a state where the utility of different filters within a network can be compared and hence can be used to construct networks. The training epochs needed for filters within a network to reach this state is much less than the training epochs needed for the accuracy of a network to stabilize. NAC exploits this finding to construct convolutional neural nets (CNNs) with close to state of the art accuracy, in < 1 GPU day, faster than most of the current neural architecture search methods. The constructed networks show close to state of the art performance on the image classification problem on well known datasets (CIFAR-10, ImageNet) and consistently show better performance than hand constructed and randomly generated networks of the same depth, operators and approximately the same number of parameters.
cs.NE cs.CV
fast neural architecture construction nac is a method to construct deep network architectures by pruning and expansion of a base network in recent years several automated search methods for neural network architectures have been proposed using methods such as evolutionary algorithms and reinforcement learning these methods use a single scalar objective function usually accuracy that is evaluated after a full training and evaluation cycle in contrast nac directly compares the utility of different filters using statistics derived from filter featuremaps reach a state where the utility of different filters within a network can be compared and hence can be used to construct networks the training epochs needed for filters within a network to reach this state is much less than the training epochs needed for the accuracy of a network to stabilize nac exploits this finding to construct convolutional neural nets cnns with close to state of the art accuracy in 1 gpu day faster than most of the current neural architecture search methods the constructed networks show close to state of the art performance on the image classification problem on well known datasets cifar10 imagenet and consistently show better performance than hand constructed and randomly generated networks of the same depth operators and approximately the same number of parameters
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1,803.06745
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017
Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media. India is a multilingual country; people use more than one languages to communicate within themselves. The switching in between the languages is called code-switching or code-mixing, depending upon the type of mixing. This paper presents overview of the shared task on sentiment analysis of code-mixed data pairs of Hindi-English and Bengali-English collected from the different social media platform. The paper describes the task, dataset, evaluation, baseline and participant's systems.
cs.CL
sentiment analysis is essential in many realworld applications such as stance detection review analysis recommendation system and so on sentiment analysis becomes more difficult when the data is noisy and collected from social media india is a multilingual country people use more than one languages to communicate within themselves the switching in between the languages is called codeswitching or codemixing depending upon the type of mixing this paper presents overview of the shared task on sentiment analysis of codemixed data pairs of hindienglish and bengalienglish collected from the different social media platform the paper describes the task dataset evaluation baseline and participants systems
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1,803.06746
Experimental Verification of Rate Flexibility and Probabilistic Shaping by 4D Signaling
The rate flexibility and probabilistic shaping gain of $4$-dimensional signaling is experimentally tested for short-reach, unrepeated transmission. A rate granularity of 0.5 bits/QAM symbol is achieved with a distribution matcher based on a simple look-up table.
cs.IT math.IT
the rate flexibility and probabilistic shaping gain of 4dimensional signaling is experimentally tested for shortreach unrepeated transmission a rate granularity of 05 bitsqam symbol is achieved with a distribution matcher based on a simple lookup table
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1,803.06747
Quantum effects near the Cauchy horizon of a Reissner-Nordstrom black hole
We consider a massless, minimally-coupled quantum scalar field on a Reissner-Nordstrom black hole background, and we study the leading asymptotic behavior of the expectation value of the stress energy tensor operator $\langle\hat{T}_{\mu\nu}\rangle_{ren}$ and of $\langle\hat{\Phi}^{2}\rangle_{ren}$ near the inner horizon, in both the Unruh and the Hartle-Hawking quantum states. We find that the coefficients of the expected leading-order divergences of these expectation values vanish, indicating that the modifications of the classical geometry due to quantum vacuum effects might be weaker than expected. In addition, we calculate the leading-order divergences of $\langle\hat{T}_{\mu\nu}\rangle_{ren}$ and of $\langle\hat{\Phi}^{2}\rangle_{ren}$ in the Boulware state near the outer (event) horizon, and we obtain analytical expressions that correspond to previous numerical results.
gr-qc hep-th
we consider a massless minimallycoupled quantum scalar field on a reissnernordstrom black hole background and we study the leading asymptotic behavior of the expectation value of the stress energy tensor operator langlehatt_munurangle_ren and of langlehatphi2rangle_ren near the inner horizon in both the unruh and the hartlehawking quantum states we find that the coefficients of the expected leadingorder divergences of these expectation values vanish indicating that the modifications of the classical geometry due to quantum vacuum effects might be weaker than expected in addition we calculate the leadingorder divergences of langlehatt_munurangle_ren and of langlehatphi2rangle_ren in the boulware state near the outer event horizon and we obtain analytical expressions that correspond to previous numerical results
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1,803.06748
Optically resolving the dynamic walking of a plasmonic walker couple
Deterministic placement and dynamic manipulation of individual plasmonic nanoparticles with nanoscale precision feature an important step towards active nanoplasmonic devices with prescribed levels of performance and functionalities at optical frequencies. In this Letter, we demonstrate a plasmonic walker couple system, in which two gold nanorod walkers can independently or simultaneously perform stepwise walking powered by DNA hybridization along the same DNA origami track. We utilize optical spectroscopy to resolve such dynamic walking with nanoscale steps well below the optical diffraction limit. We also show that the number of walkers and the optical response of the system can be correlated. Our studies exemplify the power of plasmonics, when integrated with DNA nanotechnology for realization of advanced artificial nanomachinery with tailored optical functionalities.
physics.bio-ph
deterministic placement and dynamic manipulation of individual plasmonic nanoparticles with nanoscale precision feature an important step towards active nanoplasmonic devices with prescribed levels of performance and functionalities at optical frequencies in this letter we demonstrate a plasmonic walker couple system in which two gold nanorod walkers can independently or simultaneously perform stepwise walking powered by dna hybridization along the same dna origami track we utilize optical spectroscopy to resolve such dynamic walking with nanoscale steps well below the optical diffraction limit we also show that the number of walkers and the optical response of the system can be correlated our studies exemplify the power of plasmonics when integrated with dna nanotechnology for realization of advanced artificial nanomachinery with tailored optical functionalities
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1,803.06749
Shape transitions in two-body systems: two-electron quantum dots in a magnetic field
We present a thorough analysis of the electron density distribution (shape) of two electrons, confined in the three-dimensional harmonic oscillator potential, as a function of the perpendicular magnetic field.Explicit algebraic expressions are derived in terms of the system's parameters and the magnetic field strength to trace the shape transformations in the ground and low-lying excited states. We found that the interplay of the classical and quantum properties lead to a quantum shape transition from a lateral to a vertical localization of electrons in low-lying excited states at relatively strong Coulomb interaction with alteration of the magnetic field. In contrast, in that regime in the ground states the electrons form always a ring type distribution in the lateral plane. The analytical results demonstrate a good agreement with quantum numerical results near the transition point and at high magnetic field.
cond-mat.mes-hall
we present a thorough analysis of the electron density distribution shape of two electrons confined in the threedimensional harmonic oscillator potential as a function of the perpendicular magnetic fieldexplicit algebraic expressions are derived in terms of the systems parameters and the magnetic field strength to trace the shape transformations in the ground and lowlying excited states we found that the interplay of the classical and quantum properties lead to a quantum shape transition from a lateral to a vertical localization of electrons in lowlying excited states at relatively strong coulomb interaction with alteration of the magnetic field in contrast in that regime in the ground states the electrons form always a ring type distribution in the lateral plane the analytical results demonstrate a good agreement with quantum numerical results near the transition point and at high magnetic field
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1,803.0675
Determining both the source of a wave and its speed in a medium from boundary measurements
We study the inverse problem of determining both the source of a wave and its speed inside a medium from measurements of the solution of the wave equation on the boundary. This problem arises in photoacoustic and thermoacoustic tomography, and has important applications in medical imaging. We prove that if the solutions of the wave equation with the source and sound speed $(f_1,c_1)$ and $(f_2,c_2)$ agree on the boundary of a bounded region $\Omega$, then \[ \int_{\Omega}(c_2^{-2}-c_1^{-2})\varphi dy=0,\] for every harmonic function $\varphi \in C(\bar{\Omega})$, which holds without any knowledge of the source. We also show that if the wave speed $c$ is known and only assumed to be bounded then, under a natural admissibility assumption, the source of the wave can be uniquely determined from boundary measurements.
math.AP
we study the inverse problem of determining both the source of a wave and its speed inside a medium from measurements of the solution of the wave equation on the boundary this problem arises in photoacoustic and thermoacoustic tomography and has important applications in medical imaging we prove that if the solutions of the wave equation with the source and sound speed f_1c_1 and f_2c_2 agree on the boundary of a bounded region omega then int_omegac_22c_12varphi dy0 for every harmonic function varphi in cbaromega which holds without any knowledge of the source we also show that if the wave speed c is known and only assumed to be bounded then under a natural admissibility assumption the source of the wave can be uniquely determined from boundary measurements
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1,803.06751
Plasmonic Toroidal Metamolecules Assembled by DNA Origami
We demonstrate hierarchical assembly of plasmonic toroidal metamolecules, which exhibit tailored optical activity in the visible spectral range. Each metamolecule consists of four identical origami-templated helical building blocks. Such toroidal metamolecules show stronger chiroptical response than monomers and dimers of the helical building blocks. Enantiomers of the plasmonic structures yield opposite circular dichroism spectra. The experimental results agree well with the theoretical simulations. We also demonstrate that given the circular symmetry of the structures, distinct chiroptical response along their axial orientation can be uncovered via simple spin-coating of the metamolecules on substrates. Our work provides a new strategy to create plasmonic chiral platforms with sophisticated nanoscale architectures for potential applications such as chiral sensing using chemically-based assembly systems.
physics.bio-ph cond-mat.soft
we demonstrate hierarchical assembly of plasmonic toroidal metamolecules which exhibit tailored optical activity in the visible spectral range each metamolecule consists of four identical origamitemplated helical building blocks such toroidal metamolecules show stronger chiroptical response than monomers and dimers of the helical building blocks enantiomers of the plasmonic structures yield opposite circular dichroism spectra the experimental results agree well with the theoretical simulations we also demonstrate that given the circular symmetry of the structures distinct chiroptical response along their axial orientation can be uncovered via simple spincoating of the metamolecules on substrates our work provides a new strategy to create plasmonic chiral platforms with sophisticated nanoscale architectures for potential applications such as chiral sensing using chemicallybased assembly systems
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1,803.06752
Scalar and Vectorial mu-calculus with Atoms
We study an extension of modal $\mu$-calculus to sets with atoms and we study its basic properties. Model checking is decidable on orbit-finite structures, and a correspondence to parity games holds. On the other hand, satisfiability becomes undecidable. We also show expressive limitations of atom-enriched $\mu$-calculi, and explain how their expressive power depends on the structure of atoms used, and on the choice between basic or vectorial syntax.
cs.LO
we study an extension of modal mucalculus to sets with atoms and we study its basic properties model checking is decidable on orbitfinite structures and a correspondence to parity games holds on the other hand satisfiability becomes undecidable we also show expressive limitations of atomenriched mucalculi and explain how their expressive power depends on the structure of atoms used and on the choice between basic or vectorial syntax
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1,803.06753
DNA nanotechnology-enabled chiral plasmonics: from static to dynamic
In this Account, we discuss a variety of static and dynamic chiral plasmonic nanostructures enabled by DNA nanotechnology. In the category of static plasmonic systems, we first show chiral plasmonic nanostructures based on spherical AuNPs, including plasmonic helices, toroids, and tetramers. To enhance the CD responses, anisotropic gold nanorods with larger extinction coefficients are utilized to create chiral plasmonic crosses and helical superstructures. Next, we highlight the inevitable evolution from static to dynamic plasmonic systems along with the fast development of this interdisciplinary field. Several dynamic plasmonic systems are reviewed according to their working mechanisms.
physics.bio-ph cond-mat.soft
in this account we discuss a variety of static and dynamic chiral plasmonic nanostructures enabled by dna nanotechnology in the category of static plasmonic systems we first show chiral plasmonic nanostructures based on spherical aunps including plasmonic helices toroids and tetramers to enhance the cd responses anisotropic gold nanorods with larger extinction coefficients are utilized to create chiral plasmonic crosses and helical superstructures next we highlight the inevitable evolution from static to dynamic plasmonic systems along with the fast development of this interdisciplinary field several dynamic plasmonic systems are reviewed according to their working mechanisms
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1,803.06754
Quantum Grothendieck ring isomorphisms, cluster algebras and Kazhdan-Lusztig algorithm
We establish ring isomorphisms between quantum Grothendieck rings of certain remarkable monoidal categories of finite-dimensional representations of quantum affine algebras of types $A_{2n-1}^{(1)}$ and $B_n^{(1)}$. Our proof relies in part on the corresponding quantum cluster algebra structures. Moreover, we prove that our isomorphisms specialize at $t = 1$ to the isomorphisms of (classical) Grothendieck rings obtained recently by Kashiwara, Kim and Oh by other methods. As a consequence, we prove a conjecture formulated by the first author in 2002 : the multiplicities of simple modules in standard modules in the categories above for type $B_n^{(1)}$ are given by the specialization of certain analogues of Kazhdan-Lusztig polynomials and the coefficients of these polynomials are positive.
math.RT math.QA math.RA
we establish ring isomorphisms between quantum grothendieck rings of certain remarkable monoidal categories of finitedimensional representations of quantum affine algebras of types a_2n11 and b_n1 our proof relies in part on the corresponding quantum cluster algebra structures moreover we prove that our isomorphisms specialize at t 1 to the isomorphisms of classical grothendieck rings obtained recently by kashiwara kim and oh by other methods as a consequence we prove a conjecture formulated by the first author in 2002 the multiplicities of simple modules in standard modules in the categories above for type b_n1 are given by the specialization of certain analogues of kazhdanlusztig polynomials and the coefficients of these polynomials are positive
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1,803.06755
Witt groups of abelian categories and perverse sheaves
In this paper we study the Witt groups of symmetric and anti-symmetric forms on perverse sheaves on a finite-dimensional topologically stratified space with even dimensional strata. We show that the Witt group has a canonical decomposition as a direct sum of the Witt groups of shifted local systems on strata. We compare this with another `splitting decomposition' for Witt classes of perverse sheaves obtained inductively from our main new tool, a `splitting relation' which is a generalisation of isotropic reduction. The Witt groups we study are identified with the (non-trivial) Balmer-Witt groups of the constructible derived category of sheaves on the stratified space, and also with the corresponding cobordism groups defined by Youssin. Our methods are primarily algebraic and apply more widely. The general context in which we work is that of a triangulated category with duality, equipped with a self-dual t-structure with noetherian heart, glued from self-dual t-structures on a thick subcategory and its quotient.
math.AT math.AG math.KT
in this paper we study the witt groups of symmetric and antisymmetric forms on perverse sheaves on a finitedimensional topologically stratified space with even dimensional strata we show that the witt group has a canonical decomposition as a direct sum of the witt groups of shifted local systems on strata we compare this with another splitting decomposition for witt classes of perverse sheaves obtained inductively from our main new tool a splitting relation which is a generalisation of isotropic reduction the witt groups we study are identified with the nontrivial balmerwitt groups of the constructible derived category of sheaves on the stratified space and also with the corresponding cobordism groups defined by youssin our methods are primarily algebraic and apply more widely the general context in which we work is that of a triangulated category with duality equipped with a selfdual tstructure with noetherian heart glued from selfdual tstructures on a thick subcategory and its quotient
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1,803.06756
Chaos of Wilson Loop from String Motion near Black Hole Horizon
To find the origin of chaos near black hole horizon in string-theoretic AdS/CFT correspondence, we perform a chaos analysis of a suspended string in AdS black hole backgrounds. It has a definite CFT interpretation: chaos of Wilson loops, or in other words, sensitive time-evolution of a quark antiquark force in thermal gauge theories. Our nonlinear numerical simulation of the suspended Nambu-Goto string shows chaos, which would be absent in pure AdS background. The calculated Lyapunov exponent $\lambda$ satisfies the universal bound $\lambda \leq 2\pi T_{\rm H}$ for the Hawking temperature $T_{\rm H}$. We also analyze a toy model of a rectangular string probing the horizon and show that it contains a universal saddle characterized by the surface gravity $2\pi T_{\rm H}$. Our work demonstrates that the black hole horizon is the origin of the chaos, and suggests a close interplay between chaos and quark deconfinement.
hep-th gr-qc
to find the origin of chaos near black hole horizon in stringtheoretic adscft correspondence we perform a chaos analysis of a suspended string in ads black hole backgrounds it has a definite cft interpretation chaos of wilson loops or in other words sensitive timeevolution of a quark antiquark force in thermal gauge theories our nonlinear numerical simulation of the suspended nambugoto string shows chaos which would be absent in pure ads background the calculated lyapunov exponent lambda satisfies the universal bound lambda leq 2pi t_rm h for the hawking temperature t_rm h we also analyze a toy model of a rectangular string probing the horizon and show that it contains a universal saddle characterized by the surface gravity 2pi t_rm h our work demonstrates that the black hole horizon is the origin of the chaos and suggests a close interplay between chaos and quark deconfinement
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1,803.06757
On stabilization of solutions of higher order evolution inequalities
We obtain sharp conditions guaranteeing that every non-negative weak solution of the inequality $$ \sum_{|\alpha| = m} \partial^\alpha a_\alpha (x, t, u) - u_t \ge f (x, t) g (u) \quad \mbox{in} {\mathbb R}_+^{n+1} = {\mathbb R}^n \times (0, \infty), \quad m,n \ge 1, $$ stabilizes to zero as $t \to \infty$. These conditions generalize the well-known Keller-Osserman condition on the grows of the function $g$ at infinity.
math.AP
we obtain sharp conditions guaranteeing that every nonnegative weak solution of the inequality sum_alpha m partialalpha a_alpha x t u u_t ge f x t g u quad mboxin mathbb r_n1 mathbb rn times 0 infty quad mn ge 1 stabilizes to zero as t to infty these conditions generalize the wellknown kellerosserman condition on the grows of the function g at infinity
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1,803.06758
Impact of the $^7$Be($\alpha, \gamma$)$^{11}$C reaction on the primordial abundance of $^7$Li
We calculate the radiative capture cross section for $^7$Be($\alpha, \gamma$)$^{11}$C and its reaction rate of relevance for the big bang nucleosynthesis. The impact of this reaction on the primordial $^7$Li abundance is revised including narrow and broad resonances in the pertinent energy region. Our calculations show that it is unlikely that very low energy resonances in $^{11}$C of relevance for the big bang nucleosynthesis would emerge within a two-body potential model. Based on our results and a comparison with previous theoretical and experimental analyses, we conclude that the impact of this reaction on the so-called "cosmological lithium puzzle" is completely irrelevant.
nucl-th astro-ph.CO nucl-ex
we calculate the radiative capture cross section for 7bealpha gamma11c and its reaction rate of relevance for the big bang nucleosynthesis the impact of this reaction on the primordial 7li abundance is revised including narrow and broad resonances in the pertinent energy region our calculations show that it is unlikely that very low energy resonances in 11c of relevance for the big bang nucleosynthesis would emerge within a twobody potential model based on our results and a comparison with previous theoretical and experimental analyses we conclude that the impact of this reaction on the socalled cosmological lithium puzzle is completely irrelevant
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1,803.06759
Universal bound states of one-dimensional bosons with two- and three-body attractions
When quantum particles are confined into lower dimensions, an effective three-body interaction inevitably arises and may cause significant consequences. Here we study bosons in one dimension with weak two-body and three-body interactions, predict the existence of two three-body bound states when both interactions are attractive, and determine their binding energies as universal functions of the two-body and three-body scattering lengths. We also show that an infinitesimal three-body attraction induces an excited bound state only for 3, 39, or more bosons. Our findings herein have direct relevance to a broad range of quasi-one-dimensional systems realized with ultracold atoms.
cond-mat.quant-gas
when quantum particles are confined into lower dimensions an effective threebody interaction inevitably arises and may cause significant consequences here we study bosons in one dimension with weak twobody and threebody interactions predict the existence of two threebody bound states when both interactions are attractive and determine their binding energies as universal functions of the twobody and threebody scattering lengths we also show that an infinitesimal threebody attraction induces an excited bound state only for 3 39 or more bosons our findings herein have direct relevance to a broad range of quasionedimensional systems realized with ultracold atoms
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1,803.0676
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
There is an increase in usage of smaller cells or femtocells to improve performance and coverage of next-generation heterogeneous wireless networks (HetNets). However, the interference caused by femtocells to neighboring cells is a limiting performance factor in dense HetNets. This interference is being managed via distributed resource allocation methods. However, as the density of the network increases so does the complexity of such resource allocation methods. Yet, unplanned deployment of femtocells requires an adaptable and self-organizing algorithm to make HetNets viable. As such, we propose to use a machine learning approach based on Q-learning to solve the resource allocation problem in such complex networks. By defining each base station as an agent, a cellular network is modelled as a multi-agent network. Subsequently, cooperative Q-learning can be applied as an efficient approach to manage the resources of a multi-agent network. Furthermore, the proposed approach considers the quality of service (QoS) for each user and fairness in the network. In comparison with prior work, the proposed approach can bring more than a four-fold increase in the number of supported femtocells while using cooperative Q-learning to reduce resource allocation overhead.
cs.IT math.IT
there is an increase in usage of smaller cells or femtocells to improve performance and coverage of nextgeneration heterogeneous wireless networks hetnets however the interference caused by femtocells to neighboring cells is a limiting performance factor in dense hetnets this interference is being managed via distributed resource allocation methods however as the density of the network increases so does the complexity of such resource allocation methods yet unplanned deployment of femtocells requires an adaptable and selforganizing algorithm to make hetnets viable as such we propose to use a machine learning approach based on qlearning to solve the resource allocation problem in such complex networks by defining each base station as an agent a cellular network is modelled as a multiagent network subsequently cooperative qlearning can be applied as an efficient approach to manage the resources of a multiagent network furthermore the proposed approach considers the quality of service qos for each user and fairness in the network in comparison with prior work the proposed approach can bring more than a fourfold increase in the number of supported femtocells while using cooperative qlearning to reduce resource allocation overhead
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1,803.06761
Hadron-Quark Combustion as a Nonlinear, Dynamical System
The hadron-quark combustion front is a system that couples various processes, such as chemical reactions, hydrodynamics, diffusion, and neutrino transport. Previous numerical work has shown that this system is very nonlinear, and can be very sensitive to some of these processes. In these proceedings, we contextualize the hadron-quark combustion as a nonlinear system, subject to dramatic feedback triggered by leptonic weak decays and neutrino transport.
nucl-th astro-ph.HE
the hadronquark combustion front is a system that couples various processes such as chemical reactions hydrodynamics diffusion and neutrino transport previous numerical work has shown that this system is very nonlinear and can be very sensitive to some of these processes in these proceedings we contextualize the hadronquark combustion as a nonlinear system subject to dramatic feedback triggered by leptonic weak decays and neutrino transport
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1,803.06762
Towards an Efficient Anomaly-Based Intrusion Detection for Software-Defined Networks
Software-defined networking (SDN) is a new paradigm that allows developing more flexible network applications. SDN controller, which represents a centralized controlling point, is responsible for running various network applications as well as maintaining different network services and functionalities. Choosing an efficient intrusion detection system helps in reducing the overhead of the running controller and creates a more secure network. In this study, we investigate the performance of the well-known anomaly-based intrusion detection approaches in terms of accuracy, false alarm rate, precision, recall, f1-measure, area under ROC curve, execution time and Mc Nemar's test. Precisely, we focus on supervised machine-learning approaches where we use the following classifiers: Decision Trees (DT), Extreme Learning Machine (ELM), Naive Bayes (NB), Linear Discriminant Analysis (LDA), Neural Networks (NN), Support Vector Machines (SVM), Random Forest (RT), K Nearest-Neighbour (KNN), AdaBoost, RUSBoost, LogitBoost and BaggingTrees where we employ the well-known NSL-KDD benchmark dataset to compare the performance of each one of these classifiers.
cs.CR cs.LG
softwaredefined networking sdn is a new paradigm that allows developing more flexible network applications sdn controller which represents a centralized controlling point is responsible for running various network applications as well as maintaining different network services and functionalities choosing an efficient intrusion detection system helps in reducing the overhead of the running controller and creates a more secure network in this study we investigate the performance of the wellknown anomalybased intrusion detection approaches in terms of accuracy false alarm rate precision recall f1measure area under roc curve execution time and mc nemars test precisely we focus on supervised machinelearning approaches where we use the following classifiers decision trees dt extreme learning machine elm naive bayes nb linear discriminant analysis lda neural networks nn support vector machines svm random forest rt k nearestneighbour knn adaboost rusboost logitboost and baggingtrees where we employ the wellknown nslkdd benchmark dataset to compare the performance of each one of these classifiers
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1,803.06763
Differentially Private Data Release via Statistical Election to Partition Sequentially
Differential Privacy (DP) formalizes privacy in mathematical terms and provides a robust concept for privacy protection. DIfferentially Private Data Synthesis (DIPS) techniques produce and release synthetic individual-level data in the DP framework. One key challenge to developing DIPS methods is preservation of the statistical utility of synthetic data, especially in high-dimensional settings. We propose a new DIPS approach, STatistical Election to Partition Sequentially (STEPS) that partitions data by attributes according to their importance ranks according to either a practical or statistical importance measure. STEPS aims to achieve better original information preservation for the attributes with higher importance ranks and produce thus more useful synthetic data overall. We present an algorithm to implement the STEPS procedure and employ the privacy budget composability to ensure the overall privacy cost is controlled at the pre-specified value. We apply the STEPS procedure to both simulated data and the 2000-2012 Current Population Survey youth voter data. The results suggest STEPS can better preserve the population-level information and the original information for some analyses compared to PrivBayes, a modified Uniform histogram approach, and the flat Laplace sanitizer.
stat.AP
differential privacy dp formalizes privacy in mathematical terms and provides a robust concept for privacy protection differentially private data synthesis dips techniques produce and release synthetic individuallevel data in the dp framework one key challenge to developing dips methods is preservation of the statistical utility of synthetic data especially in highdimensional settings we propose a new dips approach statistical election to partition sequentially steps that partitions data by attributes according to their importance ranks according to either a practical or statistical importance measure steps aims to achieve better original information preservation for the attributes with higher importance ranks and produce thus more useful synthetic data overall we present an algorithm to implement the steps procedure and employ the privacy budget composability to ensure the overall privacy cost is controlled at the prespecified value we apply the steps procedure to both simulated data and the 20002012 current population survey youth voter data the results suggest steps can better preserve the populationlevel information and the original information for some analyses compared to privbayes a modified uniform histogram approach and the flat laplace sanitizer
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1,803.06764
Exact holographic RG flows and the $A_{1}\times A_{1}$ Toda chain
We construct analytic solutions of Einstein gravity coupled to a dilaton field with a potential given by a sum of two exponentials, by rewriting the equations of motion in terms of an integrable Toda chain. These solutions can be interpreted as domain walls interpolating between different asymptotics, and as such they can have interesting applications in holography. In some cases, we can construct a solution which interpolates between an AdS fixed point in the UV limit and a hyperscaling violating boundary in the IR region. We also find analytic black brane solutions at finite temperature. We discuss the properties of the solutions and the interpretation in terms of RG flow.
hep-th gr-qc math-ph math.MP
we construct analytic solutions of einstein gravity coupled to a dilaton field with a potential given by a sum of two exponentials by rewriting the equations of motion in terms of an integrable toda chain these solutions can be interpreted as domain walls interpolating between different asymptotics and as such they can have interesting applications in holography in some cases we can construct a solution which interpolates between an ads fixed point in the uv limit and a hyperscaling violating boundary in the ir region we also find analytic black brane solutions at finite temperature we discuss the properties of the solutions and the interpretation in terms of rg flow
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1,803.06765
Sparse Regularization via Convex Analysis
Sparse approximate solutions to linear equations are classically obtained via L1 norm regularized least squares, but this method often underestimates the true solution. As an alternative to the L1 norm, this paper proposes a class of non-convex penalty functions that maintain the convexity of the least squares cost function to be minimized, and avoids the systematic underestimation characteristic of L1 norm regularization. The proposed penalty function is a multivariate generalization of the minimax-concave (MC) penalty. It is defined in terms of a new multivariate generalization of the Huber function, which in turn is defined via infimal convolution. The proposed sparse-regularized least squares cost function can be minimized by proximal algorithms comprising simple computations.
math.OC
sparse approximate solutions to linear equations are classically obtained via l1 norm regularized least squares but this method often underestimates the true solution as an alternative to the l1 norm this paper proposes a class of nonconvex penalty functions that maintain the convexity of the least squares cost function to be minimized and avoids the systematic underestimation characteristic of l1 norm regularization the proposed penalty function is a multivariate generalization of the minimaxconcave mc penalty it is defined in terms of a new multivariate generalization of the huber function which in turn is defined via infimal convolution the proposed sparseregularized least squares cost function can be minimized by proximal algorithms comprising simple computations
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1,803.06766
Automated Localization for Unreproducible Builds
Reproducibility is the ability of recreating identical binaries under pre-defined build environments. Due to the need of quality assurance and the benefit of better detecting attacks against build environments, the practice of reproducible builds has gained popularity in many open-source software repositories such as Debian and Bitcoin. However, identifying the unreproducible issues remains a labour intensive and time consuming challenge, because of the lacking of information to guide the search and the diversity of the causes that may lead to the unreproducible binaries. In this paper we propose an automated framework called RepLoc to localize the problematic files for unreproducible builds. RepLoc features a query augmentation component that utilizes the information extracted from the build logs, and a heuristic rule-based filtering component that narrows the search scope. By integrating the two components with a weighted file ranking module, RepLoc is able to automatically produce a ranked list of files that are helpful in locating the problematic files for the unreproducible builds. We have implemented a prototype and conducted extensive experiments over 671 real-world unreproducible Debian packages in four different categories. By considering the topmost ranked file only, RepLoc achieves an accuracy rate of 47.09%. If we expand our examination to the top ten ranked files in the list produced by RepLoc, the accuracy rate becomes 79.28%. Considering that there are hundreds of source code, scripts, Makefiles, etc., in a package, RepLoc significantly reduces the scope of localizing problematic files. Moreover, with the help of RepLoc, we successfully identified and fixed six new unreproducible packages from Debian and Guix.
cs.SE
reproducibility is the ability of recreating identical binaries under predefined build environments due to the need of quality assurance and the benefit of better detecting attacks against build environments the practice of reproducible builds has gained popularity in many opensource software repositories such as debian and bitcoin however identifying the unreproducible issues remains a labour intensive and time consuming challenge because of the lacking of information to guide the search and the diversity of the causes that may lead to the unreproducible binaries in this paper we propose an automated framework called reploc to localize the problematic files for unreproducible builds reploc features a query augmentation component that utilizes the information extracted from the build logs and a heuristic rulebased filtering component that narrows the search scope by integrating the two components with a weighted file ranking module reploc is able to automatically produce a ranked list of files that are helpful in locating the problematic files for the unreproducible builds we have implemented a prototype and conducted extensive experiments over 671 realworld unreproducible debian packages in four different categories by considering the topmost ranked file only reploc achieves an accuracy rate of 4709 if we expand our examination to the top ten ranked files in the list produced by reploc the accuracy rate becomes 7928 considering that there are hundreds of source code scripts makefiles etc in a package reploc significantly reduces the scope of localizing problematic files moreover with the help of reploc we successfully identified and fixed six new unreproducible packages from debian and guix
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