Search results for "Linear map"

showing 10 items of 68 documents

Prediction of tyrosinase inhibition activity using atom-based bilinear indices.

2007

A set of novel atom-based molecular fingerprints is proposed based on a bilinear map similar to that defined in linear algebra. These molecular descriptors (MDs) are proposed as a new means of molecular parametrization easily calculated from 2D molecular information. The nonstochastic and stochastic molecular indices match molecular structure provided by molecular topology by using the kth nonstochastic and stochastic graph-theoretical electronic-density matrices, M(k) and S(k), respectively. Thus, the kth nonstochastic and stochastic bilinear indices are calculated using M(k) and S(k) as matrix operators of bilinear transformations. Chemical information is coded by using different pair com…

PharmacologyMelaninsQuantitative structure–activity relationshipStochastic ProcessesSeries (mathematics)Molecular StructureChemistryMonophenol MonooxygenaseOrganic ChemistryBilinear interpolationLinear discriminant analysisBiochemistryStructure-Activity RelationshipDiscriminantModels ChemicalComputational chemistryMolecular descriptorDrug DiscoveryLinear algebraMolecular MedicineComputer SimulationGeneral Pharmacology Toxicology and PharmaceuticsBilinear mapEnzyme InhibitorsBiological systemChemMedChem
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Lacunary Bifurcation of Multiple Solutions of Nonlinear Eigenvalue Problems

1991

In order to describe the type of nonlinear eigenvalue problems we are going to discuss, consider a densely defined closed linear operator T in a real Hilbert space H and let H1 be the Hilbert space which consists of the domain of T together with the graph norm. Also, let H 1 * be the dual space of H1 and denote the dual operator corresponding to T: H1 → H by T’:H → H 1 * . Since H1 is dense in H, we may view H as a subspace of H1, and then the scalar product (·,·) on H and the dual pairing on H1 × H 1 * coincide on H1 × H.

PhysicsLinear mapsymbols.namesakePure mathematicsDual spacePairingNorm (mathematics)Scalar (mathematics)Hilbert spacesymbolsLacunary functionEigenvalues and eigenvectors
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A rank theorem for analytic maps between power series spaces

1994

Power seriesPure mathematicsGeneral MathematicsFundamental theorem of linear algebraDiscontinuous linear mapCombinatoricssymbols.namesakeFréchet spaceLagrange inversion theoremsymbolsOpen mapping theorem (functional analysis)Algebraic geometry and analytic geometryAnalytic functionMathematicsPublications mathématiques de l'IHÉS
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On the structure of the similarity orbits of Jordan operators as analytic homogeneous manifolds

1989

For Jordan elementsJ in a topological algebraB with unite, an open groupB−1 of invertible elements and continuous inversion we consider the similarity orbitsS G (J)={gJg−1:g∈G} (G the groupB−1⋂{e+c:c∈I},I⊂B a bilateral continuous embedded topological ideal). We construct rational local cross sections to the conjugation mapping\(\pi ^J G \to S_G \left( J \right)\left( {\pi ^J \left( g \right) = gJg^{ - 1} } \right)\) and give to the orbitS G (J) the local structure of a rational manifold. Of particular interest is the caseB=L(H) (bounded linear operators on a separable Hilbert spaceH),I=B, for which we obtain the following: 1. If for a Hilbert space operator there exist norm continuous local…

Pure mathematicsAlgebra and Number TheoryHilbert spaceHolomorphic functionSubmanifoldlaw.inventionSeparable spaceLinear mapAlgebrasymbols.namesakeInvertible matrixlawBounded functionNorm (mathematics)symbolsAnalysisMathematicsIntegral Equations and Operator Theory
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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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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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Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results

2009

Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a time consuming procedure and the obtained dissimilarity results is not a metric. Recently, the normalised compression distance was introduced as a method to calculate the distance between two generic digital objects and it seems a suitable way to compare genomic strings. In this paper, the clustering and the non-linear mapping obtained using the evolutionary distance and the compression distance are compared, in order to understand if the two distances sets are similar.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryCompression (functional analysis)Metric (mathematics)Normalized compression distanceuniversal similarity metric USM clustering DNA sequences normalised compression distance evolutionary distance genomic sequences nonlinear mapping bioinformaticsPattern recognitionArtificial intelligenceCluster analysisbusinessDistance matrices in phylogenyMathematics
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MR2641584 Joiţa, Maria On extremal covariant completely multi-positive linear maps. Proceedings of the Sixth Congress of Romanian Mathematicians. Vol…

2011

Settore MAT/05 - Analisi Matematicapositive linear maps
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Mappings of finite distortion: Monotonicity and continuity

2001

We study mappings f = ( f1, ..., fn) : Ω → Rn in the Sobolev space W loc (Ω,R n), where Ω is a connected, open subset of Rn with n ≥ 2. Thus, for almost every x ∈ Ω, we can speak of the linear transformation D f(x) : Rn → Rn, called differential of f at x. Its norm is defined by |D f(x)| = sup{|D f(x)h| : h ∈ Sn−1}. We shall often identify D f(x) with its matrix, and denote by J(x, f ) = det D f(x) the Jacobian determinant. Thus, using the language of differential forms, we can write

Sobolev spaceDiscrete mathematicsLinear mapsymbols.namesakeDifferential formGeneral MathematicsNorm (mathematics)Jacobian matrix and determinantsymbolsMonotonic functionMathematicsInventiones Mathematicae
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Factorization of strongly (p,sigma)-continuous multilinear operators

2013

We introduce the new ideal of strongly-continuous linear operators in order to study the adjoints of the -absolutely continuous linear operators. Starting from this ideal we build a new multi-ideal by using the composition method. We prove the corresponding Pietsch domination theorem and we present a representation of this multi-ideal by a tensor norm. A factorization theorem characterizing the corresponding multi-ideal - which is also new for the linear case - is given. When applied to the case of the Cohen strongly -summing operators, this result gives also a new factorization theorem.

Unbounded operatorDiscrete mathematicsMultilinear mapPrimary 46A32Algebra and Number TheoryMathematics::Commutative AlgebraTensor normSpectral theoremOperator theoryPietsch domination theoremMultilinear operatorsymbols.namesakeFactorizationNorm (mathematics)Weierstrass factorization theoremsymbolsSecondary 47B10FactorizationMATEMATICA APLICADAOperator normAbsolutely continuous operatorsMathematics
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