Linear Algebra Through Geometry (Undergraduate Texts in Mathematics)

Thomas Banchoff, John Wermer

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ISBN 10: 0387907874 ISBN 13: 9780387907871

Published by Springer-Verlag, New York, 1983

Language: English

Condition: Used - As new Hardcover

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About this Item

This 1983 edition offers a distinctive visual approach to understanding linear algebra through geometric concepts and spatial reasoning. This classic mathematics text explores vectors, matrices, linear transformations, determinants, and higher dimensional geometry with clear explanations and illustrations that connect algebraic theory to geometric intuition.

Book condition overall is Fine (F) almost as new (AN). There is no dust jacket. The book appears unread, all 254 pages are pristine, intact, and free of any markings except for a small, barely readable pencil marking of 24.00 on the first inside page. The yellow covers and binding are clean and well-preserved, in Fine (V) condition. Mathematic books are widely appreciated by students, educators, and collectors of vintage academic texts, this volume remains a valuable resource for anyone interested in the foundations of modern mathematics and geometric thinking.

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Bibliographic Details

Title: Linear Algebra Through Geometry (Undergraduate Texts in Mathematics)
Publisher: Springer-Verlag, New York
Publication Date: 1983
Language: English
ISBN 10: 0387907874
ISBN 13: 9780387907871
Binding: Hardcover
Printing: 1st Printing
Condition: As New
Dust Jacket Condition: No Jacket
Dimensions: 9.5 inches width by 6.5 inches height by 0.9 inches depth
Weight: 1.25 pounds

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Synopsis

This book introduces the concepts of linear algebra through the careful study of two and three-dimensional Euclidean geometry. This approach makes it possible to start with vectors, linear transformations, and matrices in the context of familiar plane geometry and to move directly to topics such as dot products, determinants, eigenvalues, and quadratic forms. The later chapters deal with n-dimensional Euclidean space and other finite-dimensional vector space.

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