Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Linear Algebra = From the Beginnings to the Jordan Normal Forms /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Linear Algebra/ by Toshitsune Miyake.
Reminder of title:
From the Beginnings to the Jordan Normal Forms /
Author:
Miyake, Toshitsune.
Description:
XVII, 362 p. 15 illus., 2 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Algebras, Linear. -
Online resource:
https://doi.org/10.1007/978-981-16-6994-1
ISBN:
9789811669941
Linear Algebra = From the Beginnings to the Jordan Normal Forms /
Miyake, Toshitsune.
Linear Algebra
From the Beginnings to the Jordan Normal Forms /[electronic resource] :by Toshitsune Miyake. - 1st ed. 2022. - XVII, 362 p. 15 illus., 2 illus. in color.online resource.
Preface -- 1. Matrices -- 2. Linear Equations -- 3. Determinants -- 4. Vector Spaces -- 5. Linear Mappings -- 6. Inner Product Spaces -- 7. Hermitian Inner Product Spaces -- 8. Jordan Normal Forms.-Notation -- Answers to Exercises -- References -- Index of Theorems -- Index.
The purpose of this book is to explain linear algebra clearly for beginners. In doing so, the author states and explains somewhat advanced topics such as Hermitian products and Jordan normal forms. Starting from the definition of matrices, it is made clear with examples that matrices and matrix operation are abstractions of tables and operations of tables. The author also maintains that systems of linear equations are the starting point of linear algebra, and linear algebra and linear equations are closely connected. The solutions to systems of linear equations are found by solving matrix equations in the row-reduction of matrices, equivalent to the Gauss elimination method of solving systems of linear equations. The row-reductions play important roles in calculation in this book. To calculate row-reductions of matrices, the matrices are arranged vertically, which is seldom seen but is convenient for calculation. Regular matrices and determinants of matrices are defined and explained. Furthermore, the resultants of polynomials are discussed as an application of determinants. Next, abstract vector spaces over a field K are defined. In the book, however, mainly vector spaces are considered over the real number field and the complex number field, in case readers are not familiar with abstract fields. Linear mappings and linear transformations of vector spaces and representation matrices of linear mappings are defined, and the characteristic polynomials and minimal polynomials are explained. The diagonalizations of linear transformations and square matrices are discussed, and inner products are defined on vector spaces over the real number field. Real symmetric matrices are considered as well, with discussion of quadratic forms. Next, there are definitions of Hermitian inner products. Hermitian transformations, unitary transformations, normal transformations and the spectral resolution of normal transformations and matrices are explained. The book ends with Jordan normal forms. It is shown that any transformations of vector spaces over the complex number field have matrices of Jordan normal forms as representation matrices.
ISBN: 9789811669941
Standard No.: 10.1007/978-981-16-6994-1doiSubjects--Topical Terms:
528115
Algebras, Linear.
LC Class. No.: QA184-205
Dewey Class. No.: 512.5
Linear Algebra = From the Beginnings to the Jordan Normal Forms /
LDR
:03804nam a22003975i 4500
001
1082819
003
DE-He213
005
20220903214709.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811669941
$9
978-981-16-6994-1
024
7
$a
10.1007/978-981-16-6994-1
$2
doi
035
$a
978-981-16-6994-1
050
4
$a
QA184-205
072
7
$a
PBF
$2
bicssc
072
7
$a
MAT002050
$2
bisacsh
072
7
$a
PBF
$2
thema
082
0 4
$a
512.5
$2
23
100
1
$a
Miyake, Toshitsune.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1388630
245
1 0
$a
Linear Algebra
$h
[electronic resource] :
$b
From the Beginnings to the Jordan Normal Forms /
$c
by Toshitsune Miyake.
250
$a
1st ed. 2022.
264
1
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
XVII, 362 p. 15 illus., 2 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Preface -- 1. Matrices -- 2. Linear Equations -- 3. Determinants -- 4. Vector Spaces -- 5. Linear Mappings -- 6. Inner Product Spaces -- 7. Hermitian Inner Product Spaces -- 8. Jordan Normal Forms.-Notation -- Answers to Exercises -- References -- Index of Theorems -- Index.
520
$a
The purpose of this book is to explain linear algebra clearly for beginners. In doing so, the author states and explains somewhat advanced topics such as Hermitian products and Jordan normal forms. Starting from the definition of matrices, it is made clear with examples that matrices and matrix operation are abstractions of tables and operations of tables. The author also maintains that systems of linear equations are the starting point of linear algebra, and linear algebra and linear equations are closely connected. The solutions to systems of linear equations are found by solving matrix equations in the row-reduction of matrices, equivalent to the Gauss elimination method of solving systems of linear equations. The row-reductions play important roles in calculation in this book. To calculate row-reductions of matrices, the matrices are arranged vertically, which is seldom seen but is convenient for calculation. Regular matrices and determinants of matrices are defined and explained. Furthermore, the resultants of polynomials are discussed as an application of determinants. Next, abstract vector spaces over a field K are defined. In the book, however, mainly vector spaces are considered over the real number field and the complex number field, in case readers are not familiar with abstract fields. Linear mappings and linear transformations of vector spaces and representation matrices of linear mappings are defined, and the characteristic polynomials and minimal polynomials are explained. The diagonalizations of linear transformations and square matrices are discussed, and inner products are defined on vector spaces over the real number field. Real symmetric matrices are considered as well, with discussion of quadratic forms. Next, there are definitions of Hermitian inner products. Hermitian transformations, unitary transformations, normal transformations and the spectral resolution of normal transformations and matrices are explained. The book ends with Jordan normal forms. It is shown that any transformations of vector spaces over the complex number field have matrices of Jordan normal forms as representation matrices.
650
0
$a
Algebras, Linear.
$3
528115
650
1 4
$a
Linear Algebra.
$3
1207620
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811669934
776
0 8
$i
Printed edition:
$z
9789811669958
776
0 8
$i
Printed edition:
$z
9789811669965
856
4 0
$u
https://doi.org/10.1007/978-981-16-6994-1
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login