Matrix Theory and Applications with Matlab

Matrix Theory and Applications with Matlab

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Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text. All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology. Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their more

Product details

  • Hardback | 384 pages
  • 166.9 x 231.9 x 28.2mm | 716.68g
  • Taylor & Francis Inc
  • CRC Press Inc
  • Bosa Roca, United States
  • English
  • 1584881089
  • 9781584881087

Table of contents

REVIEW OF MATRIX ALGEBRA Matrices, Systems of Linear Equations, Determinants INTRODUCTION TO VECTOR SPACES Vector Spaces Dimension Linear Transformations SIMILARITY Nonsingular Matrices Diagonalization Conditions for Diagonalization Jordan Forms MATRIX CALCULUS Calculus of Matrices Difference Equations Differential Equations NORMED VECTOR SPACES Vector Norms Induced Matrix Norms Some Special Norms Inner Product Norms and Orthogonality UNITARY SIMILARITY Unitary Matrices Schur Decompositions SINGULAR VALUE DECOMPOSITION Singular Value Decomposition Theorem Applications of the SVD Theorem LU AND QR DECOMPOSITIONS The LU Decomposition The QR Decomposition PROPERTIES OF EIGENVALUES AND EIGENVECTORS Continuity of Eigenvalues and Eigenvectors Perturbation of Eigenvalues and Eigenvectors HERMITIAN AND POSITIVE DEFINITE MATRICES Positive Definite Matrices Special Eigenvalue Results on Hermitian Matrices GRAPHICS AND TOPOLOGY Two Projection Matrices Manifolds and Topological Sets APPENDICES MATLAB Answers to Selected Exercises Bibliographyshow more