Jordan Canonical Form (Record no. 85125)

000 -LEADER
fixed length control field 03645nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-02398-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163919.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2009 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031023989
-- 978-3-031-02398-9
082 04 - CLASSIFICATION NUMBER
Call Number 510
100 1# - AUTHOR NAME
Author Weintraub, Steven H.
245 10 - TITLE STATEMENT
Title Jordan Canonical Form
Sub Title Theory and Practice /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2009.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 96 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Mathematics & Statistics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Jordan Canonical Form -- Solving Systems of Linear Differential Equations -- Background Results: Bases, Coordinates, and Matrices -- Properties of the Complex Exponential.
520 ## - SUMMARY, ETC.
Summary, etc Jordan Canonical Form (JCF) is one of the most important, and useful, concepts in linear algebra. The JCF of a linear transformation, or of a matrix, encodes all of the structural information about that linear transformation, or matrix. This book is a careful development of JCF. After beginning with background material, we introduce Jordan Canonical Form and related notions: eigenvalues, (generalized) eigenvectors, and the characteristic and minimum polynomials. We decide the question of diagonalizability, and prove the Cayley-Hamilton theorem. Then we present a careful and complete proof of the fundamental theorem: Let V be a finite-dimensional vector space over the field of complex numbers C, and let T : V → V be a linear transformation. Then T has a Jordan Canonical Form. This theorem has an equivalent statement in terms of matrices: Let A be a square matrix with complex entries. Then A is similar to a matrix J in Jordan Canonical Form, i.e., there is an invertible matrix P and a matrix J in Jordan Canonical Form with A = PJP-1. We further present an algorithm to find P and J, assuming that one can factor the characteristic polynomial of A. In developing this algorithm we introduce the eigenstructure picture (ESP) of a matrix, a pictorial representation that makes JCF clear. The ESP of A determines J, and a refinement, the labeled eigenstructure picture (ℓESP) of A, determines P as well. We illustrate this algorithm with copious examples, and provide numerous exercises for the reader. Table of Contents: Fundamentals on Vector Spaces and Linear Transformations / The Structure of a Linear Transformation / An Algorithm for Jordan Canonical Form and Jordan Basis.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02398-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2009.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Mathematics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1938-1751
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-- ZDB-2-SXSC

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