Advanced Linear Algebra

Advanced Linear Algebra

AngličtinaPevná vazba
Roman, Steven
Springer-Verlag New York Inc.
EAN: 9780387728285
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Předpokládané dodání v pondělí, 22. července 2024
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Podrobné informace

For the third edition, the author has added a new chapter on associative algebras that includes the well known characterizations of the finite-dimensional division algebras over the real field (a theorem of Frobenius) and over a finite field (Wedderburn's theorem); polished and refined some arguments (such as the discussion of reflexivity, the rational canonical form, best approximations and the definitions of tensor products); upgraded some proofs that were originally done only for finite-dimensional/rank cases; added new theorems, including the spectral mapping theorem; corrected all known errors; the reference section has been enlarged considerably, with over a hundred references to books on linear algebra.

From the reviews of the second edition:

“In this 2nd edition, the author has rewritten the entire book and has added more than 100 pages of new materials. … As in the previous edition, the text is well written and gives a thorough discussion of many topics of linear algebra and related fields. … the exercises are rewritten and expanded. … Overall, I found the book a very useful one. … It is a suitable choice as a graduate text or as a reference book.”

Ali-Akbar Jafarian, ZentralblattMATH

“This is a formidable volume, a compendium of linear algebra theory, classical and modern … . The development of the subject is elegant … . The proofs are neat … . The exercise sets are good, with occasional hints given for the solution of trickier problems. … It represents linear algebra and does so comprehensively.”

Henry Ricardo, MathDL

EAN 9780387728285
ISBN 0387728287
Typ produktu Pevná vazba
Vydavatel Springer-Verlag New York Inc.
Datum vydání 8. října 2007
Stránky 525
Jazyk English
Rozměry 235 x 155
Země United States
Autoři Roman, Steven
Ilustrace XVIII, 525 p.
Edice 3rd ed. 2008
Série Graduate Texts in Mathematics