Search results for "eigenvectors and eigenvalues"

showing 2 items of 2 documents

The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies

2003

We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and standardized eigenvalues of the covariance, matrix can thus be derived from the SCM. We also construct an estimate of the covariance and correlation matrix based on the SCM. The influence functions and limiting distributions of the SCM and its eigenvectors and eigenvalues are found. Limiting efficiencies are given in multivariate normal and t-distribution cases. The estimates are highly efficient in the multivariate normal case and perform …

Statistics and ProbabilityCovariance functionaffine equivarianceinfluence functionMultivariate normal distributionrobustnessComputer Science::Human-Computer InteractionEfficiencyestimatorsEstimation of covariance matricesScatter matrixStatisticsAffine equivarianceApplied mathematicsCMA-ESMultivariate signCovariance and correlation matricesRobustnessmultivariate medianMathematicsprincipal componentsInfluence functionNumerical AnalysisMultivariate medianCovariance matrixcovariance and correlation matricesdiscriminant-analysisCovarianceComputer Science::Otherdispersion matricesefficiencyLaw of total covariancemultivariate locationtestsStatistics Probability and Uncertaintyeigenvectors and eigenvaluesEigenvectors and eigenvaluesmultivariate signJournal of Multivariate Analysis
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A Teaching proposal for the study of eigenvectors and eigenvalues

2017

[EN] In this work, we present a teaching proposal which emphasizes on visualization and physical applications in the study of eigenvectors and eigenvalues. These concepts are introduced using the notion of the moment of inertia of a rigid body and the GeoGebra software. The proposal was motivated after observing students¿ difficulties when treating eigenvectors and eigenvalues from a geometric point of view. It was designed following a particular sequence of activities with the schema: exploration, introduction of concepts, structuring of knowledge and application, and considering the three worlds of mathematical thinking provided by Tall: embodied, symbolic and formal.

Algebras LinearMoments d'inèrciaComputer scienceÀlgebra lineal -- EnsenyamentMathematicsofComputing_NUMERICALANALYSISMathematics education -- Algebralcsh:TechnologyStructuringEducationMoments of inertiaSoftwareUndergraduate mathematics educationSchema (psychology):Ensenyament i aprenentatge::Ensenyament universitari [Àrees temàtiques de la UPC]Ensenyament universitari0501 psychology and cognitive sciencesLinear algebraundergraduate mathematics educationMatemàtica -- Educació secundàriaEigenvalues and eigenvectorsundergraduate mathematics education linear algebra eigenvectors and eigenvalues moments of inertia GeoGebralcsh:LC8-6691moments of inertialcsh:Special aspects of educationlcsh:Tbusiness.industry05 social sciences050301 educationEigenvaluesRigid bodyVisualizationAlgebraGeoGebraValors propislinear algebralcsh:TA1-2040Embodied cognitionLinear algebralcsh:Llcsh:Engineering (General). Civil engineering (General)EigenvectorsbusinessMATEMATICA APLICADA0503 educationEigenvectors and eigenvalueseigenvectors and eigenvalueslcsh:Education050104 developmental & child psychology
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