Linear Algebra

This textbook on linear algebra includes the key topics of the subject that most advanced undergraduates need to learn before entering graduate school. All the usual topics, such as complex vector spaces, complex inner products, the Spectral theorem for normal operators, dual spaces, the minimal pol...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Petersen, Peter (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
Σειρά:Undergraduate Texts in Mathematics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02989nam a22004455i 4500
001 978-1-4614-3612-6
003 DE-He213
005 20151116133733.0
007 cr nn 008mamaa
008 120606s2012 xxu| s |||| 0|eng d
020 |a 9781461436126  |9 978-1-4614-3612-6 
024 7 |a 10.1007/978-1-4614-3612-6  |2 doi 
040 |d GrThAP 
050 4 |a QA184-205 
072 7 |a PBF  |2 bicssc 
072 7 |a MAT002050  |2 bisacsh 
082 0 4 |a 512.5  |2 23 
100 1 |a Petersen, Peter.  |e author. 
245 1 0 |a Linear Algebra  |h [electronic resource] /  |c by Peter Petersen. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2012. 
300 |a X, 390 p.  |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 
490 1 |a Undergraduate Texts in Mathematics,  |x 0172-6056 
505 0 |a Preface -- 1 Basic Theory -- 2 Linear Operators -- 3 Inner Product Spaces -- 4 Linear Operators on Inner Product Spaces -- 5 Determinants -- Bibliography -- Index. 
520 |a This textbook on linear algebra includes the key topics of the subject that most advanced undergraduates need to learn before entering graduate school. All the usual topics, such as complex vector spaces, complex inner products, the Spectral theorem for normal operators, dual spaces, the minimal polynomial, the Jordan canonical form, and the rational canonical form, are covered, along with a chapter on determinants at the end of the book. In addition, there is material throughout the text on linear differential equations and how it integrates with all of the important concepts in linear algebra.   This book has several distinguishing features that set it apart from other linear algebra texts.  For example: Gaussian elimination is used as the key tool in getting at eigenvalues; it takes an essentially determinant-free approach to linear algebra; and systems of linear differential equations are used as frequent motivation for the reader.  Another motivating aspect of the book is the excellent and engaging exercises that abound in this text.   This textbook is written for an upper-division undergraduate course on Linear Algebra.  The prerequisites for this book are a familiarity with basic matrix algebra and elementary calculus, although any student who is willing to think abstractly should not have too much difficulty in understanding this text. 
650 0 |a Mathematics. 
650 0 |a Matrix theory. 
650 0 |a Algebra. 
650 1 4 |a Mathematics. 
650 2 4 |a Linear and Multilinear Algebras, Matrix Theory. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461436119 
830 0 |a Undergraduate Texts in Mathematics,  |x 0172-6056 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-3612-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)