國立虎尾科技大學 |

Linear Algebra Done Right

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Linear Algebra Done Right/ by Sheldon Axler.
Author:	Axler, Sheldon.
Description:	XVII, 340 p. 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Matrix theory. -
Online resource:	https://doi.org/10.1007/978-3-319-11080-6
ISBN:	9783319110806

Linear Algebra Done Right
Axler, Sheldon.

Linear Algebra Done Right[electronic resource] /by Sheldon Axler. - 3rd ed. 2015. - XVII, 340 p. 26 illus. in color.online resource. - Undergraduate Texts in Mathematics,0172-6056. - Undergraduate Texts in Mathematics,.

This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions. No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.

ISBN: 9783319110806

Standard No.: 10.1007/978-3-319-11080-6doiSubjects--Topical Terms:

1023862
Matrix theory.

LC Class. No.: QA184-205

Dewey Class. No.: 512.5

Linear Algebra Done Right
LDR:02865nam a22004095i 4500 001 969412
003 DE-He213
005 20200702061425.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319110806 $9 978-3-319-11080-6
024 7 $a 10.1007/978-3-319-11080-6 $2 doi
035 $a 978-3-319-11080-6
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 Axler, Sheldon. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1064438
245 1 0 $a Linear Algebra Done Right $h [electronic resource] / $c by Sheldon Axler.
250 $a 3rd ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XVII, 340 p. 26 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
490 1 $a Undergraduate Texts in Mathematics, $x 0172-6056
520 $a This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions. No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.
650 0 $a Matrix theory. $3 1023862
650 0 $a Algebra. $2 gtt $3 579870
650 1 4 $a Linear and Multilinear Algebras, Matrix Theory. $3 672090
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319110790
776 0 8 $i Printed edition: $z 9783319110813
776 0 8 $i Printed edition: $z 9783319307657
776 0 8 $i Printed edition: $z 9783319939025
830 0 $a Undergraduate Texts in Mathematics, $x 0172-6056 $3 1253653
856 4 0 $u https://doi.org/10.1007/978-3-319-11080-6
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)