Search results for "algebra"

showing 10 items of 4129 documents

Analysis of inhomogeneously filled waveguides using a bi-orthonormal-basis method

2000

A general theoretical formulation to analyze inhomogeneously filled waveguides with lossy dielectrics is presented in this paper. The wave equations for the tranverse-field components are written in terms of a nonself-adjoint linear operator and its adjoint. The eigenvectors of this pair of linear operators define a biorthonormal-basis, allowing for a matrix representation of the wave equations in the basis of an auxiliary waveguide. Thus, the problem of solving a system of differential equations is transformed into a linear matrix eigenvalue problem. This formulation is applied to rectangular waveguides loaded with an arbitrary number of dielectric slabs centered at arbitrary points. The c…

RadiationPartial differential equationBasis (linear algebra)Differential equationNumerical analysisMatrix representationMathematical analysisPhysics::OpticsCondensed Matter PhysicsLinear mapOrthonormal basisElectrical and Electronic EngineeringEigenvalues and eigenvectorsMathematicsIEEE Transactions on Microwave Theory and Techniques
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Radon-Nikodym theorem in quasi *-algebras

2013

In this paper some properties of continuous representable linear functionals on a quasi $*$-algebra are investigated. Moreover we give properties of operators acting on a Hilbert algebra, whose role will reveal to be crucial for proving a Radon-Nikodym type theorem for positive linear functionals.

Radon–Nikodym theoremPure mathematicsAlgebra and Number TheorySettore MAT/05 - Analisi MatematicaMathematical analysisRadon–Nikodym theorem for positive linear functionals.MathematicsJournal of Operator Theory
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Information Functionals and the Notion of (Un)Certainty: Random Matrix Theory - Inspired Case

2007

Information functionals allow one to quantify the degree of randomness of a given probability distribution, either absolutely (through min/max entropy principles) or relative to a prescribed reference one. Our primary aim is to analyze the “minimum information” assumption, which is a classic concept (R. Balian, 1968) in the random matrix theory. We put special emphasis on generic level (eigenvalue) spacing distributions and the degree of their randomness, or alternatively — information/organization deficit.

Random graphMultivariate random variableRandom functionGeneral Physics and AstronomyProbability distributionRandom elementApplied mathematicsMutual informationAlgebra of random variablesRandomnessMathematicsActa Physica Polonica A
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Variational integrals with a wide range of anisotropy

2012

Range (mathematics)Algebra and Number TheoryApplied MathematicsMathematical analysisAnisotropyAnalysis510MathematicsSt. Petersburg Mathematical Journal
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AKNS and NLS hierarchies, MRW solutions, $P_n$ breathers, and beyond

2018

We describe a unified structure of rogue wave and multiple rogue wave solutions for all equations of the Ablowitz-Kaup-Newell-Segur (AKNS) hierarchy and their mixed and deformed versions. The definition of the AKNS hierarchy and its deformed versions is given in the Sec. II. We also consider the continuous symmetries of the related equations and the related spectral curves. This work continues and summarises some of our previous studies dedicated to the rogue wave-like solutions associated with AKNS, nonlinear Schrodinger, and KP hierarchies. The general scheme is illustrated by the examples of small rank n, n ⩽ 7, rational or quasi-rational solutions. In particular, we consider rank-2 and …

Rank (linear algebra)BreatherStructure (category theory)Statistical and Nonlinear PhysicsWave equation01 natural sciences010305 fluids & plasmasNonlinear systemsymbols.namesakeNonlinear Sciences::Exactly Solvable and Integrable Systems[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesHomogeneous spacesymbolsRogue wave010306 general physicsNonlinear Sciences::Pattern Formation and SolitonsMathematical PhysicsSchrödinger's catMathematicsMathematical physics
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Reorientational dynamics in simple supercooled liquids

1998

Abstract The geometry of the reorientational dynamics in the van der Waals liquid, toluene, and the hydrogen bond network, glycerol, are compared. Both systems have contributions from small angle fluctuations. In glycerol the fraction of these small angle fluctuations is much larger than in toluene, due to the stronger anisotropic interactions in the former substance. The average reorientational angle in both systems is similar and on the order of 10 ∘ . In addition we analyze the stretching of the rotational correlation functions of rank one and two. In both cases we find that the second rank correlation function has a more pronounced stretching than the corresponding first rank correlatio…

Rank (linear algebra)ChemistryHydrogen bondThermodynamicsCondensed Matter PhysicsToluene530Electronic Optical and Magnetic MaterialsCondensed Matter::Soft Condensed Mattersymbols.namesakechemistry.chemical_compoundMaterials ChemistryCeramics and CompositessymbolsPhysical chemistryRelaxation (physics)Physics::Chemical Physicsvan der Waals forceAnisotropySupercoolingRank correlation
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Second-order tensorial calibration for kinetic spectrophotometric determination

1996

Abstract Kinetic-diode array spectrophotometric detection, as well as other multichannel techniques when used in non-equilibrium conditions, constitute second-order instrumentation. The second-order response provided will be bilinear, under certain conditions even trilinear, thus allowing the use of the generalized rank annihilation method (GRAM) and the trilinear decomposition method (TLD). Both numerically simulated and experimental data were used to evaluate the performance of these calibration techniques. The conditions in which the ‘second-order advantage’ (the possibility of quantifying the analytes in the presence of unknown reactions or interferences) is preserved were investigated.…

Rank (linear algebra)ChemistryProcess Chemistry and TechnologyInstrumentationAnalytical chemistryBilinear interpolationKinetic energyComputer Science ApplicationsAnalytical ChemistryReaction rate constantCalibrationData analysisSpectroscopySoftwareGramChemometrics and Intelligent Laboratory Systems
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Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition with Spatial Sparsity Constraint

2022

Tucker decomposition can provide an intuitive summary to understand brain function by decomposing multi-subject fMRI data into a core tensor and multiple factor matrices, and was mostly used to extract functional connectivity patterns across time/subjects using orthogonality constraints. However, these algorithms are unsuitable for extracting common spatial and temporal patterns across subjects due to distinct characteristics such as high-level noise. Motivated by a successful application of Tucker decomposition to image denoising and the intrinsic sparsity of spatial activations in fMRI, we propose a low-rank Tucker-2 model with spatial sparsity constraint to analyze multi-subject fMRI dat…

Rank (linear algebra)Computer scienceMatrix normlow-rankmatrix decompositionsymbols.namesaketoiminnallinen magneettikuvausOrthogonalitytensorsTensor (intrinsic definition)Kronecker deltaTucker decompositionHumansElectrical and Electronic Engineeringcore tensorsparsity constraintRadiological and Ultrasound Technologybusiness.industrysignaalinkäsittelyfeature extractionsparse matricesBrainPattern recognitionbrain modelingMagnetic Resonance Imagingfunctional magnetic resonance imagingComputer Science ApplicationsConstraint (information theory)data modelssymbolsNoise (video)Artificial intelligencebusinessmulti-subject fMRI dataSoftwareAlgorithmsTucker decomposition
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Periodic Classification of Local Anaesthetics (Procaine Analogues)

2006

Algorithms for classification are proposed based on criteria (information entropyand its production). The feasibility of replacing a given anaesthetic by similar ones in thecomposition of a complex drug is studied. Some local anaesthetics currently in use areclassified using characteristic chemical properties of different portions of their molecules.Many classification algorithms are based on information entropy. When applying theseprocedures to sets of moderate size, an excessive number of results appear compatible withdata, and this number suffers a combinatorial explosion. However, after the equipartitionconjecture, one has a selection criterion between different variants resulting fromc…

Rank (linear algebra)Periodic table (large cells)principal component analysisperiodic tableCatalysisInorganic ChemistryCombinatoricslcsh:ChemistryOrder (group theory)procaine analogue.Physical and Theoretical Chemistrylocal anaestheticMolecular Biologylcsh:QH301-705.5SpectroscopyEquipartition theoremMathematicsConjectureEntropy productionOrganic Chemistryinformation entropyGeneral MedicineComposition (combinatorics)periodic lawComputer Science Applicationsperiodic propertyStatistical classificationclassificationlcsh:Biology (General)lcsh:QD1-999equipartition conjecturecluster analysisInternational Journal of Molecular Sciences
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The Rank of Trifocal Grassmann Tensors

2019

Grassmann tensors arise from classical problems of scene reconstruction in computer vision. Trifocal Grassmann tensors, related to three projections from a projective space of dimension k onto view-spaces of varying dimensions are studied in this work. A canonical form for the combined projection matrices is obtained. When the centers of projections satisfy a natural generality assumption, such canonical form gives a closed formula for the rank of the trifocal Grassmann tensors. The same approach is also applied to the case of two projections, confirming a previous result obtained with different methods in [6]. The rank of sequences of tensors converging to tensors associated with degenerat…

Rank (linear algebra)Tensor rankAlgebraMathematics - Algebraic GeometryDimension (vector space)Computer Science::Computer Vision and Pattern Recognitiongrassmann tensors computer vision tensor rankFOS: MathematicsProjective spaceSettore MAT/03 - GeometriaAlgebraic Geometry (math.AG)Analysis14N05 15A21 15A69Mathematics
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