Linear Algebra Thoroughly Explained
Author:   Milan Vujicic ,  Jeffrey Sanderson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1st ed. Softcover of orig. ed. 2008
ISBN:  

9783642094101


Pages:   288
Publication Date:   19 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Linear Algebra Thoroughly Explained


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Author:   Milan Vujicic ,  Jeffrey Sanderson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. Softcover of orig. ed. 2008
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.462kg
ISBN:  

9783642094101


ISBN 10:   3642094104
Pages:   288
Publication Date:   19 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Vector Spaces.- Linear Mappings and Linear Systems.- Inner-Product Vector Spaces (Euclidean and Unitary Spaces).- Dual Spaces and the Change of Basis.- The Eigen Problem or Diagonal Form of Representing Matrices.- Tensor Product of Unitary Spaces.- The Dirac Notation in Quantum Mechanics: Dualism between Unitary Spaces (Sect. 4.1) and Isodualism between Their Superspaces (Sect. 4.7).

Reviews

From the reviews: It is based on lectures by the author ! to both undergraduate and graduate students in Europe over a period of several decades. ! it does have some parts that are appropriate for undergraduates and others seem to be intended for more advanced students. ! Examples throughout the book are geared toward quantum theory, and unitary and Hermitian matrices are treated thoroughly. ! students whose specific objective is to prepare for the study of quantum mechanics will find it useful for self-study. (David S. Watkins, SIAM Review, Vol. 51 (3), 2009)


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