Search results for "Dimension"

showing 10 items of 2766 documents

On Codimensions of Algebras with Involution

2020

Let A be an associative algebra with involution ∗ over a field F of characteristic zero. One associates to A, in a natural way, a numerical sequence \(c^{\ast }_n(A),\)n = 1, 2, …, called the sequence of ∗-codimensions of A which is the main tool for the quantitative investigation of the polynomial identities satisfied by A. In this paper we focus our attention on \(c^{\ast }_n(A),\)n = 1, 2, …, by presenting some recent results about it.

Polynomial (hyperelastic model)CombinatoricsSequenceSettore MAT/02 - Algebra*-identitiesAssociative algebraZero (complex analysis)Involution (philosophy)Field (mathematics)*-codimensionsGrowthMathematics
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Uniform estimates for the X-ray transform restricted to polynomial curves

2012

We establish near-optimal mixed-norm estimates for the X-ray transform restricted to polynomial curves with a weight that is a power of the affine arclength. The bounds that we establish depend only on the spatial dimension and the degree of the polynomial. Some of our results are new even in the well-curved case.

Polynomial curvesPolynomialX-ray transformMixed normDegree (graph theory)Mathematical analysisMixed normPower (physics)Affine arclengthDimension (vector space)Mathematics - Classical Analysis and ODEsClassical Analysis and ODEs (math.CA)FOS: MathematicsRestricted X-rayAffine transformation42B25Generalized Radon transformAnalysisMathematicsJournal of Functional Analysis
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Relationship between UVB and broadband solar radiation in Spain

2014

The daily values of UVB irradiation (290–315 nm), IUVB, and the broadband total irradiation (300–2800 nm), IT, measured on a horizontal plane have been correlated for the period 2000–2008 at 16 measurement sites in Spain. The results have been compared with the daily experimental values registered at the same sites during the period 2009–2011. The coefficients of determination R2 obtained by applying a linear regression are higher than 0.88 for all sites and increase to 0.94 when using a quadratic regression. When all data are considered together, the values of R2 are 0.91 and 0.97 for the linear and quadratic regressions, respectively. Three different clearness indices, which are dimension…

Polynomial regressionAtmospheric ScienceCoefficient of determinationMean squared errorMeteorologyClimatologyLinear regressionSolar zenith angleRadiationAtmospheric sciencesLatitudeMathematicsDimensionless quantityInternational Journal of Climatology
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Central Polynomials of Algebras and Their Growth

2020

A polynomial in noncommutative variables taking central values in an algebra A is called a central polynomial of A. For instance the algebra of k × k matrices has central polynomials. For general algebras the existence of central polynomials is not granted. Nevertheless if an algebra has such polynomials, how can one measure how many are there?

PolynomialPure mathematicsExponential growthCodimensionAlgebra over a fieldMeasure (mathematics)Noncommutative geometryMathematics
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Trace identities and almost polynomial growth

2021

In this paper we study algebras with trace and their trace polynomial identities over a field of characteristic 0. We consider two commutative matrix algebras: $D_2$, the algebra of $2\times 2$ diagonal matrices and $C_2$, the algebra of $2 \times 2$ matrices generated by $e_{11}+e_{22}$ and $e_{12}$. We describe all possible traces on these algebras and we study the corresponding trace codimensions. Moreover we characterize the varieties with trace of polynomial growth generated by a finite dimensional algebra. As a consequence, we see that the growth of a variety with trace is either polynomial or exponential.

PolynomialPure mathematicsTrace (linear algebra)Trace algebrasField (mathematics)01 natural sciencesPolynomial identitiesMatrix (mathematics)16R10 16R30 16R50Polynomial identitieCodimensions growth Polynomial identities Trace algebras0103 physical sciencesDiagonal matrixFOS: Mathematics0101 mathematicsCommutative propertyMathematicsCodimensions growth; Polynomial identities; Trace algebrasAlgebra and Number TheoryCodimensions growth010102 general mathematicsTrace algebraMathematics - Rings and AlgebrasExponential functionSettore MAT/02 - AlgebraRings and Algebras (math.RA)010307 mathematical physicsVariety (universal algebra)
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Varieties of special Jordan algebras of almost polynomial growth

2019

Abstract Let J be a special Jordan algebra and let c n ( J ) be its corresponding codimension sequence. The aim of this paper is to prove that in case J is finite dimensional, such a sequence is polynomially bounded if and only if the variety generated by J does not contain U J 2 , the special Jordan algebra of 2 × 2 upper triangular matrices. As an immediate consequence, we prove that U J 2 is the only finite dimensional special Jordan algebra that generates a variety of almost polynomial growth.

PolynomialSequenceCodimension (Mathematics)Algebra and Number TheoryJordan algebra010102 general mathematicsTriangular matrixCodimensão (Matemática)CodimensionPolynomial identity01 natural sciencesIdentidade polinomialCombinatoricsSettore MAT/02 - AlgebraPolynomial identity codimension sequence Jordan algebra almost polynomial growthIdentityBounded functionIdentidade0103 physical sciencesArtigo original010307 mathematical physics0101 mathematicsVariety (universal algebra)Mathematics
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Principal polynomial analysis for remote sensing data processing

2011

Inspired by the concept of Principal Curves, in this paper, we define Principal Polynomials as a non-linear generalization of Principal Components to overcome the conditional mean independence restriction of PCA. Principal Polynomials deform the straight Principal Components by minimizing the regression error (or variance) in the corresponding orthogonal subspaces. We propose to use a projection on a series of these polynomials to set a new nonlinear data representation: the Principal Polynomial Analysis (PPA). We prove that the dimensionality reduction error in PPA is always lower than in PCA. Lower truncation error and increased independence suggest that unsupervised PPA features can be b…

PolynomialTruncation errorbusiness.industryFeature vectorDimensionality reductionPattern recognitionLinear discriminant analysisLinear subspaceProjection (linear algebra)Principal component analysisLife ScienceArtificial intelligencebusinessMathematicsRemote sensing
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The use of Markovian metapopulation models: a comparison of three methods reducing the dimensionality of transition matrices.

2001

The use of Markovian models is an established way for deriving the complete distribution of the size of a population and the probability of extinction. However, computationally impractical transition matrices frequently result if this mathematical approach is applied to natural populations. Binning, or aggregating population sizes, has been used to permit a reduction in the dimensionality of matrices. Here, we present three deterministic binning methods and study the errors due to binning for a metapopulation model. Our results indicate that estimation errors of the investigated methods are not consistent and one cannot make generalizations about the quality of a method. For some compared o…

Population DensityMathematical optimizationeducation.field_of_studyModels StatisticalMarkov chainResearchPopulationPopulation DynamicsMarkov processPopulation processMetapopulationModels BiologicalMarkov ChainsReduction (complexity)symbols.namesakeDistribution (mathematics)symbolsQuantitative Biology::Populations and EvolutioneducationAlgorithmEcology Evolution Behavior and SystematicsCurse of dimensionalityMathematicsTheoretical population biology
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Development of a short questionnaire based on the Practice Environment Scale-Nursing Work Index in primary health care

2019

BackgroundProfessional nursing environments determine the quality of care and patient outcomes. Assessing the quality of environments is essential to improve and obtain better health outcomes. Simplifying and shortening the way to evaluate environments reliably is also important to help nurses better understand the strengths and weaknesses of their environments. In that sense, identifying essential elements of nursing environments would allow the construction of short assessment tools to improve such environments.ObjectiveTo construct a short tool to assess primary health care (PHC) nursing environments based on the Practice Environment Scale-Nursing Work Index (PES-NWI) questionnaire.Metho…

Populationlcsh:MedicineNursingEnvironmentGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineNursingCronbach's alpha030212 general & internal medicineMultidimensional scalingeducationReliability (statistics)Primary health careeducation.field_of_studyData collection030504 nursingDescriptive statisticsGeneral Neurosciencelcsh:RGeneral MedicineExplained variationCommunity health nursingScale (social sciences)Quality of health careEnfermeríaPublic Health0305 other medical scienceGeneral Agricultural and Biological SciencesPsychologyQuestionnaire designPeerJ
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Exploring the Political Ontology of European Integration

2018

In this chapter, the author politicizes the ontological dimension of EU studies. He discusses ontology’s power to determine the real by analyzing some of its unformulated presuppositions and the links with knowledge and action. He argues that key European institutions like the European Commission do not change only because of institutional dynamics but also in relation to transnational interplays of differentiated agents operating simultaneously in multiple social spheres. Institutions and particularly institutional change have to be explained in the light of both new policy challenges and the preferences and habits of the agents making up these institutions and their surroundings. Such an …

Power (social and political)PoliticsAction (philosophy)Political scienceEuropean integrationOntologyDimension (data warehouse)Relation (history of concept)PresuppositionLaw and economics
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