Search results for "Linear span"

showing 6 items of 6 documents

Properties of Scattering Matrices in a Vicinity of Thresholds

2021

Chapter 3 is devoted to various properties of a waveguide scattering matrix, which is a matrix function on the waveguide continuous spectrum. There is a sequence of threshold values of the spectral parameter where the scattering matrix changes its size; the thresholds accumulate at infinity. In particular, both two-sided limits of the scattering matrix are calculated at every threshold.

PhysicsSequenceMatrix (mathematics)ScatteringMatrix functionContinuous spectrumWaveguide (acoustics)Linear spanComputational physics
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Biweights on Partial *-Algebras

2000

This chapter is devoted to the systematic investigation of biweights on partial *-algebras. These are a generalization of invariant positive sesquilinear forms that still allows a Gel’fand—Naĭmark—Segal (GNS) construction of representations. In Section 9.1, we apply this GNS construction for biweights and we obtain *-representations and cyclic vector representations of partial *-algebras, and we give some examples of biweights. Section 9.2 is devoted to the investigation of the Radon—Nikodým theorem and the Lebesgue decomposition theorem for biweights on partial *-algebras. In Section 9.3, we define regular and singular biweights on partial *-algebras and we characterize them with help of t…

Pure mathematicsDirect sumMathematics::Operator AlgebrasApplied MathematicsHilbert spacePartial *-algebrasLebesgue integrationLinear spansymbols.namesakeadmissible biweightsbiweightsSchwartz spaceBounded functionsymbolsGNS constructionInvariant (mathematics)weightsapproximately admissible biweightsAnalysisMathematicsDecomposition theoremJournal of Mathematical Analysis and Applications
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Well-behaved *-Representations

2002

This chapter is devoted to the study of the so-called well-behaved *-representations of (partial) *-algebras. Actually one may define are two notions of well-behavedness and we will discuss the relation between them. These notions are introduced in order to avoid pathologies which may arise for general *-representations and to select “nice” representations, which may have a richer theory. In Section 8.1, we construct a class {π p } of *-representations, starting from an unbounded C*-seminorm p and we define nice *-representations in {π p }, called well-behaved. We also characterize their existence. In Section 8.2, we introduce the well-behaved *-representations associated with a compatible …

Section (fiber bundle)Class (set theory)symbols.namesakePure mathematicsHilbert spacesymbolsOrder (ring theory)Linear spanApproximate identityAction (physics)Maximal elementMathematics
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Tomita—Takesaki Theory in Partial O*-Algebras

2002

This chapter is devoted to the development of the Tomita-Takesaki theory in partial O*-algebras. In Section 5.1, we introduce and investigate the notion of cyclic generalized vectors for a partial O*-algebra, generalizing that of cyclic vectors, and its commutants. Section 5.2 introduces the notion of a cyclic and separating system (M, λ, λ c ), which consists of a partial O*-algebra M, a cyclic generalized vector λ for M and the commutant λ c of λ. A cyclic and separating system (M, λ, λ c ) determines the cyclic and separating system ((M w ′ )′, λ cc , (λ cc ) c ) of the von Neumann algebra (M w ′ )′, and this makes it possible to develop the Tornita-Takesaki theory. Then λ can be extende…

Section (fiber bundle)Physicssymbols.namesakePure mathematicsVon Neumann algebraGroup (mathematics)Polar decompositionsymbolsTomita–Takesaki theoryAutomorphismCentralizer and normalizerLinear span
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Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering

2018

Inference of space-time varying signals on graphs emerges naturally in a plethora of network science related applications. A frequently encountered challenge pertains to reconstructing such dynamic processes, given their values over a subset of vertices and time instants. The present paper develops a graph-aware kernel-based kriged Kalman filter that accounts for the spatio-temporal variations, and offers efficient online reconstruction, even for dynamically evolving network topologies. The kernel-based learning framework bypasses the need for statistical information by capitalizing on the smoothness that graph signals exhibit with respect to the underlying graph. To address the challenge o…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningComputational complexity theoryComputer scienceInferenceMachine Learning (stat.ML)Network scienceMultikernel02 engineering and technologyNetwork topologyLinear spanMachine Learning (cs.LG)Kernel (linear algebra)Matrix (mathematics)Statistics - Machine LearningFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal Processing020206 networking & telecommunicationsKalman filterSignal Processing020201 artificial intelligence & image processingLaplace operatorAlgorithm
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Tasks for enriching the understanding of the concept of linear span

2018

International audience; The concept of linear span is one of the first abstract notions that students encounter in a course on Linear Algebra. Using the theoretical construct of concept image and concept definition (Tall & Vinner, 1981) along with observations about teaching and learning Linear Algebra, we present two tasks designed to enrich students' concept image regarding linear span. These tasks could be included in a problem workshop of an introductory university course on Linear Algebra. Each task is carefully created and/or selected so as to foster the ground for potential conflict factors to arise and be confronted. A preliminary evaluation shows that the tasks are well received by…

Teachers' and students' practices at university level[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO]design[SHS.EDU] Humanities and Social Sciences/Education[MATH.MATH-HO] Mathematics [math]/History and Overview [math.HO]ComputingMilieux_COMPUTERSANDEDUCATIONTeaching and learning of linear and abstract algebraTaskLinear span
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