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Titlebook: Linear Algebra; Serge Lang Textbook 1987Latest edition Springer Science+Business Media New York 1987 Eigenvalue.Eigenvector.algebra.linear

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Linear Maps and Matrices, ., the product being the product of matrices. That .. is linear is simply a special case of Theorem 3.1, Chapter II, namely the theorem concerning properties of multiplication of matrices. Indeed, we have (math) for all vectors . in .. and all numbers .. We call .. the linear map . with the matrix ..
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Vector Spaces,s a real number” or that “. is an element of R” amounts to the same thing. The set of all .-tuples of real numbers will be denoted by ... Thus “. is an element of ..” and “. is an .-tuple of real numbers” mean the same thing. A review of the definition of . and its properties is given an Appendix.
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