Linear Algebra Through Geometry (Undergraduate Texts in Mathematics)

Banchoff, Thomas; Wermer, John

ISBN 10: 0387975861 / ISBN 13: 9780387975863

Edité par Springer, 1991

A propos de cet article

In shrink wrap. Looks like an interesting title!

N° de réf. du vendeur Q-0387975861

Détails bibliographiques

• Titre: Linear Algebra Through Geometry (Undergraduate Texts in Mathematics)
• Éditeur: Springer
• Date de parution: 1991
• Langue: anglais
• ISBN à 10 chiffres: 0387975861
• ISBN à 13 chiffres: 9780387975863
• Reliure: hardcover
• Édition: 2ème Édition
• État de l'article: New
• Poids: 49 onces

A propos de ce titre

Synopsis

Linear Algebra Through Geometry 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. Topics include systems of linear equations in n variable, inner products, symmetric matrices, and quadratic forms. The final chapter treats application of linear algebra to differential systems, least square approximations and curvature of surfaces in three spaces. The only prerequisite for reading this book (with the exception of one section on systems of differential equations) are high school geometry, algebra, and introductory trigonometry.

Présentation de l'éditeur

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.