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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Tillämpad matematik

    Fundamentals of Linear Algebra

    AvJ.S. Chahal

    Häftad, Engelska, 2023

    Del i serien Textbooks in Mathematics

    737 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

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    2 056 kr

    Beskrivning

    Fundamentals of Linear Algebra is like no other book on the subject. By following a natural and unified approach to the subject it has, in less than 250 pages, achieved a more complete coverage of the subject than books with more than twice as many pages. For example, the textbooks in use in the United States prove the existence of a basis only for finite dimensional vector spaces. This book proves it for any given vector space. With his experience in algebraic geometry and commutative algebra, the author defines the dimension of a vector space as its Krull dimension. By doing so, most of the facts about bases when the dimension is finite, are trivial consequences of this definition. To name one, the replacement theorem is no longer needed. It becomes obvious that any two bases of a finite dimensional vector space contain the same number of vectors. Moreover, this definition of the dimension works equally well when the geometric objects are nonlinear.Features: Presents theories and applications in an attempt to raise expectations and outcomes The subject of linear algebra is presented over arbitrary fields Includes many non-trivial examples which address real-world problems

    Produktinformation

    • Utgivningsdatum:2023-01-21
    • Mått:156 x 234 x 13 mm
    • Vikt:331 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Textbooks in Mathematics
    • Antal sidor:240
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781032475813

    Utforska kategorier

    • Tillämpad matematik inom Naturvetenskap och teknik
    • Matematikens grunder inom Naturvetenskap och teknik
    • Algebra inom Naturvetenskap och teknik

    Mer om författaren

    Dr. J.S. Chahal is a professor of mathematics at Brigham Young University. He received his Ph.D. from Johns Hopkins University and after spending a couple of years at the University of Wisconsin as a post doc, he joined Brigham Young University as an assistant professor and has been there ever since. He specializes and has published a number of papers about number theory. For hobbies, he likes to travel and hike, the reason he accepted the position at Brigham Young University.

    Innehållsförteckning

    • PrefaceAdvice to the Reader1 Preliminaries What is Linear Algebra?Rudimentary Set TheoryCartesian ProductsRelationsConcept of a FunctionComposite FunctionsFields of ScalarsTechniques for Proving Theorems2 Matrix Algebra Matrix OperationsGeometric Meaning of a Matrix EquationSystems of Linear EquationInverse of a MatrixThe Equation Ax=bBasic Applications3 Vector Spaces The Concept of a Vector SpaceSubspacesThe Dimension of a Vector SpaceLinear IndependenceApplication of Knowing dim (V)CoordinatesRank of a Matrix4 Linear Maps Linear MapsProperties of Linear MapsMatrix of a Linear MapMatrix Algebra and Algebra of Linear MapsLinear Functionals and DualityEquivalence and SimilarityApplication to Higher Order Differential Equations5 Determinants MotivationProperties of DeterminantsExistence and Uniqueness of DeterminantComputational Definition of DeterminantEvaluation of DeterminantsAdjoint and Cramer's Rule6 Diagonalization MotivationEigenvalues and EigenvectorsCayley-Hamilton Theorem7 Inner Product Spaces Inner ProductFourier SeriesOrthogonal and Orthonormal SetsGram-Schmidt ProcessOrthogonal Projections on Subspaces8 Linear Algebra over Complex Numbers Algebra of Complex NumbersDiagonalization of Matrices with Complex EigenvaluesMatrices over Complex Numbers9 Orthonormal DiagonalizationMotivational IntroductionMatrix Representation of a Quadratic FormSpectral DecompostionConstrained Optimization-Extrema of SpectrumSingular Value Decomposition (SVD)10 Selected Applications of Linear Algebra System of First Order Linear Differential EquationsMultivariable CalculusSpecial Theory of RelativityCryptographySolving Famous Problems from Greek GeometryAnswers to Selected Numberical ProblemsBibliographyIndex