Search results for "Linear combination"

showing 10 items of 132 documents

Positive linear maps on normal matrices

2018

For a positive linear map [Formula: see text] and a normal matrix [Formula: see text], we show that [Formula: see text] is bounded by some simple linear combinations in the unitary orbit of [Formula: see text]. Several elegant sharp inequalities are derived, for instance for the Schur product of two normal matrices [Formula: see text], [Formula: see text] for some unitary [Formula: see text], where the constant [Formula: see text] is optimal.

Pure mathematicsComputer Science::Information RetrievalGeneral Mathematics010102 general mathematicsAstrophysics::Instrumentation and Methods for AstrophysicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)010103 numerical & computational mathematics01 natural sciencesUnitary stateNormal matrixFunctional Analysis (math.FA)Mathematics - Functional AnalysisLinear mapSimple (abstract algebra)Bounded functionFOS: MathematicsComputer Science::General Literature0101 mathematicsOrbit (control theory)Linear combinationMathematicsInternational Journal of Mathematics
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Conformal Killing forms on nearly Kähler manifolds

2020

Abstract We study conformal Killing forms on compact 6-dimensional nearly Kahler manifolds. Our main result concerns forms of degree 3. Here we give a classification showing that all conformal Killing 3-forms are linear combinations of dω and its Hodge dual ⁎ d ω , where ω is the fundamental 2-form of the nearly Kahler structure. The proof is based on a fundamental integrability condition for conformal Killing forms. We have partial results in the case of conformal Killing 2-forms. In particular we show the non-existence of J-anti-invariant Killing 2-forms.

Pure mathematicsDegree (graph theory)010102 general mathematicsStructure (category theory)Conformal map01 natural sciencesComputational Theory and Mathematics0103 physical sciences010307 mathematical physicsGeometry and Topology0101 mathematicsHodge dualLinear combinationAnalysisMathematicsDifferential Geometry and its Applications
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A note on k-generalized projections

2007

Abstract In this note, we investigate characterizations for k -generalized projections (i.e., A k  =  A ∗ ) on Hilbert spaces. The obtained results generalize those for generalized projections on Hilbert spaces in [Hong-Ke Du, Yuan Li, The spectral characterization of generalized projections, Linear Algebra Appl. 400 (2005) 313–318] and those for matrices in [J. Benitez, N. Thome, Characterizations and linear combinations of k -generalized projectors, Linear Algebra Appl. 410 (2005) 150–159].

Pure mathematicsNumerical AnalysisAlgebra and Number TheoryNormal matricesHilbert spaceCharacterization (mathematics)Matrius (Matemàtica)Normal matrixAlgebrasymbols.namesakeLinear algebrasymbolsDiscrete Mathematics and CombinatoricsSpectral projectionGeometry and TopologyÀlgebra linealLinear combinationProjectionst-Potent matricesMathematicsLinear Algebra and its Applications
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The rate of photon production in the quark-gluon plasma from lattice QCD

2020

We calculate the thermal rate of real-photon production in the quark-gluon plasma at a temperature of $T=254$ MeV using lattice QCD. The calculation is based on the difference between the spatially transverse and longitudinal parts of the polarization tensor, which has the advantage of falling off rapidly at large frequencies. We obtain this linear combination in the time-momentum representation from lattice QCD with two flavors of quarks in the continuum limit with a precision of about two parts per mille. Applying a theoretically motivated fit ansatz for the associated spectral function, we obtain values for the photon rate that are in line with QCD weak-coupling calculations; for photon …

QuarkParticle physicsPhotonNuclear Theorynucl-thHigh Energy Physics::LatticePhoton Production RateFOS: Physical scienceshep-latLattice QCD7. Clean energy01 natural sciencesNuclear Theory (nucl-th)High Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciences010306 general physicsLinear combinationAnsatzParticle Physics - PhenomenologyQuantum chromodynamicsPhysics010308 nuclear & particles physicsHigh Energy Physics - Lattice (hep-lat)High Energy Physics::Phenomenologyhep-phParticle Physics - LatticeLattice QCDPolarization (waves)3. Good healthHigh Energy Physics - PhenomenologyNuclear Physics - TheoryQuark–gluon plasmaQuark-Gluon PlasmaHigh Energy Physics::Experiment
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Coloring Linear Algebra

2016

[EN] We present an example of how we can introduce basic concepts on Linear Algebra in a first course of an Engineering School. We use the RGB pattern color which allows us to decompose a color into three primary colors (namely, red, green, blue). By using this model we give a natural connexion between the additivity of the color decomposition and the notions on linear algebra (as vector space, linear combination and convex linear span of vectors). To visualize these connexions we use Geogebra.

RGB pattern colorLinear AlgebraMathematical modellingLinear combinationÁlgebra lineal combinación lineal modelización matemática modelo de color RGBModelización matemáticaÁlgebra linealModelo de color RGBlcsh:L7-991lcsh:Education (General)Combinación linealModelling in Science Education and Learning
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Temperature and Isotopic Mass Dependence of the Direct Band Gap in Semiconductors: LCAO Calculations

2000

SemiconductorCondensed matter physicsbusiness.industryChemistryLinear combination of atomic orbitalsBand gapDirect and indirect band gapsAtomic physicsCondensed Matter PhysicsbusinessSemimetalElectronic Optical and Magnetic Materialsphysica status solidi (b)
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Book Review: Approximation with Positive Linear Operators and Linear Combinations By: Vijay Gupta, Gancho Tachev Series: Developments in Mathematics,…

2020

Series (mathematics)Linear operatorsApplied mathematicsProbability and statisticsLinear combinationVolume (compression)MathematicsGeneral Mathematics
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Improving Harris corner selection strategy

2011

This study describes a corner selection strategy based on the Harris approach. Corners are usually defined as interest points for which intensity variation in the principal directions is locally maximised, as response from a filter given by the linear combination of the determinant and the trace of the autocorrelation matrix. The Harris corner detector, in its original definition, is only rotationally invariant, but scale-invariant and affine-covariant extensions have been developed. As one of the main drawbacks, corner detector performances are influenced by two user-given parameters: the linear combination coefficient and the response filter threshold. The main idea of the authors' approa…

Settore INF/01 - Informaticabusiness.industryAutocorrelationDetectorCorner detectionGeometryScale invarianceEdge detectionAutocorrelation matrixComputer Vision and Pattern RecognitionArtificial intelligenceInvariant (mathematics)Linear combinationbusinessAlgorithmSoftwareMathematicsHarris corner detector
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Sequentially Forecasting Economic Indices Using Mixture Linear Combinations of EP Distributions

2021

This article displays an application of the statistical method moti- vated by Bruno de Finetti's operational subjective theory of probability. We use exchangeable forecasting distributions based on mixtures of linear com- binations of exponential power (EP) distributions to forecast the sequence of daily rates of return from the Dow-Jones index of stock prices over a 20 year period. The operational subjective statistical method for comparing distributions is quite different from that commonly used in data analysis, because it rejects the basic tenets underlying the practice of hypothesis test- ing. In its place, proper scoring rules for forecast distributions are used to assess the values o…

Settore MAT/06 - Probabilita' E Statistica MatematicaLogarithmDow-Jones index exponential power distributions fat tails logarithmic scoring rule mixture distributions partial exchangeability proper scoring rules subjective probability subjectivist statistical methods.Scoring ruleStatistical parameterExponential functionNormal distributionSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.StatisticsEconometricsSettore SECS-S/01 - StatisticaLinear combinationMathematicsStatistical hypothesis testingJournal of Data Science
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Spectrum cartography using adaptive radial basis functions: Experimental validation

2017

In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative centroid locations in a machine learning context. We assume no prior knowledge about neither the power spectral densities (PSD) of the transmitters nor their locations. Instead, the received signal power at each location is estimated as a linear combination of different RBFs. The weights of the RBFs, their Gaussian decaying parameters and locations are jointly optimized using expectation maximization with a least squares loss function and a quadratic regularizer. The perfor…

Signal processingComputer scienceGaussianCentroid020206 networking & telecommunicationsContext (language use)02 engineering and technologyComputer Science::Computational GeometryLeast squaresComputer Science::Numerical Analysissymbols.namesakeExpectation–maximization algorithm0202 electrical engineering electronic engineering information engineeringsymbolsRadial basis functionLinear combinationCartography
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