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Titlebook: Solutions Manual for Lang’s Linear Algebra; Rami Shakarchi Book 1996 Springer Science+Business Media New York 1996 Eigenvalue.Eigenvector.

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发表于 2025-3-21 17:13:18 | 显示全部楼层 |阅读模式
书目名称Solutions Manual for Lang’s Linear Algebra
编辑Rami Shakarchi
视频video
图书封面Titlebook: Solutions Manual for Lang’s Linear Algebra;  Rami Shakarchi Book 1996 Springer Science+Business Media New York 1996 Eigenvalue.Eigenvector.
描述The present volume contains all the exercises and their solutions of Lang‘s‘ Linear Algebra. Solving problems being an essential part of the learning process, my goal is to provide those learning and teaching linear algebra with a large number of worked out exercises. Lang‘s textbook covers all the topics in linear algebra that are usually taught at the undergraduate level: vector spaces, matrices and linear maps including eigenvectors and eigenvalues, determinants, diagonalization of symmetric and hermitian maps, unitary maps and matrices, triangulation, Jordan canonical form, and convex sets. Therefore this solutions manual can be helpful to anyone learning or teaching linear algebra at the college level. As the understanding of the first chapters is essential to the comprehension of the later, more involved chapters, I encourage the reader to work through all of the problems of Chapters I, II, III and IV. Often earlier exercises are useful in solving later problems. (For example, Exercise 35, §3 of Chapter II shows that a strictly upper triangular matrix is nilpotent and this result is then used in Exercise 7, §1 of Chapter X.) To make the solutions concise, I have included only
出版日期Book 1996
关键词Eigenvalue; Eigenvector; Matrix; Permutation; algebra; linear algebra
版次1
doihttps://doi.org/10.1007/978-1-4612-0755-9
isbn_softcover978-0-387-94760-0
isbn_ebook978-1-4612-0755-9
copyrightSpringer Science+Business Media New York 1996
The information of publication is updating

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发表于 2025-3-21 21:15:11 | 显示全部楼层
Book 1996process, my goal is to provide those learning and teaching linear algebra with a large number of worked out exercises. Lang‘s textbook covers all the topics in linear algebra that are usually taught at the undergraduate level: vector spaces, matrices and linear maps including eigenvectors and eigenv
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Scalar Products and Orthogonality,Let V be a vector space with a scalar product. Show that.SOLUTION. We have
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Triangulation of Matrices and Linear Maps,Let A be an upper triangular matrix:.Viewing A as a linear map, what are the eigenvalues of A., A. in general A. where r is an integer ≥1?
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