Linear Algebra - Brossura

Fraleigh, John B.; Beauregard, Raymond A.

Brossura

ISBN 10: 0201526751 ISBN 13: 9780201526752

Casa editrice: Pearson College Div, 1995

Riassunto

Fraleigh and Beauregard's text is known for its clear presentation and writing style, mathematical appropriateness, and overall student usability. Its inclusion of calculus-related examples, true/false problems, section summaries, integrated applications, and coverage of Cn make it a superb text for the sophomore or junior-level linear algebra course. This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra is taught and learned. Key concepts are presented early on, with an emphasis on geometry.

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Product Description

The new edition of this linear algebra text includes an early introduction to key concepts, and optional integration of LINTEK and MATLAB. Features include: calculus-related examples; section summaries of key ideas, definitions and theorems; and exercise sets including "true or false" problems.Table of Contents1. Vectors, Matrices, and Linear Systems. Vectors in Euclidean Spaces. The Norm and the Dot Product. Matrices and Their Algebra. Solving Systems of Linear Equations. Inverses of Square Matrices. Homogeneous Systems, Subspaces, and Bases. Application to Population Distribution (Optional). Application to Binary Linear Codes (Optional). 2. Dimension, Rank, and Linear Transformations. Independence and Dimension. The Rank of a Matrix. Linear Transformations of Euclidean Spaces. Linear Transformations of the Plane (Optional). Lines, Planes, and Other Flats (Optional). 3. Vector Spaces. Vector Spaces. Basic Concepts of Vector Spaces. Coordinatization of Vectors. Linear Transformations. Inner-Product Spaces (Optional). 4. Determinants. Areas, Volumes, and Cross Products. The Determinant of a Square Matrix. Computation of Determinants and Cramers Rule. Linear Transformations and Determinants (Optional). 5. Eigenvalues and Eigenvectors. Eigenvalues and Eigenvectors. Diagonalization. Two Applications. 6. Orthogonality. Projections. The Gram-Schmidt Process. Orthogonal Matrices. The Projection Matrix. The Method of Least Squares. 7. Change of Basis. Coordinatization and Change of Basis. Matrix Representations and Similarity. 8. Eigenvalues: Further Applications and Computations. Diagonalization of Quadratic Forms. Applications to Geometry. Applications to Extrema. Computing Eigenvalues and Eigenvectors. 9. Complex Scalars. Algebra of Complex Numbers. Matrices and Vector Spaces with Complex Scalars. Eigenvalues and Diagonalization. Jordan Canonical Form. 10. Solving Large Linear Systems. Considerations of Time. The LU-Factorization. Pivoting, Scaling, and Ill-Conditioned M

Dettagli dell'edizione

• Editore: Pearson College Div
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0201526751
• ISBN 13: 9780201526752
• Rilegatura: Copertina flessibile
• Numero di pagine: 608
• Contatto del produttore: non disponibile
• Persona responsabile: Pearson; riccardo.bacigalupo@sanoma.it; ; Sanoma Italia Via Arconati, 1 �; Milano; Italia