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A01=Bessie H. Kirkwood
A01=James R. Kirkwood
Advanced Linear Algebra
advanced matrix theory applications
Age Group_Uncategorized
Age Group_Uncategorized
Algebraic Dimension
Algebraic Multiplicity
Author_Bessie H. Kirkwood
Author_James R. Kirkwood
automatic-update
bilinear and quadratic forms
Bilinear Form
Category1=Non-Fiction
Category=PBF
Category=PBW
Cayley Hamilton Theorem
Characteristic Polynomial
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Determinants
eigenvalue computation
eq_isMigrated=2
eq_nobargain
External Direct Sum
Finite Dimensional Vector Space
Generalized Eigenvector
Geometric Multiplicity
Jordan Block
Jordan Canonical Form
Jordan form analysis
Language_English
Linear algebra
Linear Operator
linear systems
Linear Transformation
linear transformations
Maclaurin Series
Matrix Representation
Matrix Theory (Theory of Matrices)
Minimal Polynomial
Null Space
Orthonormal Basis
PA=Available
Perron-Frobenius theorem
Price_€50 to €100
PS=Active
Quadratic Form
softlaunch
Spectral Theorem
Square Matrix
Symmetric Bilinear Form
Tensor Product
tensor product introduction
Vector Space
vector space theory
Vector Spaces

Product details

  • ISBN 9780367569020
  • Weight: 790g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Aug 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Linear Algebra, James R. Kirkwood and Bessie H. Kirkwood, 978-1-4987-7685-1, K29751

Shelving Guide: Mathematics

This text has a major focus on demonstrating facts and techniques of linear systems that will be invaluable in higher mathematics and related fields. A linear algebra course has two major audiences that it must satisfy. It provides an important theoretical and computational tool for nearly every discipline that uses mathematics. It also provides an introduction to abstract mathematics.

This book has two parts. Chapters 1–7 are written as an introduction. Two primary goals of these chapters are to enable students to become adept at computations and to develop an understanding of the theory of basic topics including linear transformations. Important applications are presented.

Part two, which consists of Chapters 8–14, is at a higher level. It includes topics not usually taught in a first course, such as a detailed justification of the Jordan canonical form, properties of the determinant derived from axioms, the Perron–Frobenius theorem and bilinear and quadratic forms.

Though users will want to make use of technology for many of the computations, topics are explained in the text in a way that will enable students to do these computations by hand if that is desired.

Key features include:

  • Chapters 1–7 may be used for a first course relying on applications
  • Chapters 8–14 offer a more advanced, theoretical course
  • Definitions are highlighted throughout
  • MATLAB® and R Project tutorials in the appendices
  • Exercises span a range from simple computations to fairly direct abstract exercises
  • Historical notes motivate the presentation

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