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I'm looking for a classic matrix algebra reference, either introductory or advanced.

In fact, I'm looking for ways to factorize elements of a matrix, and its appropriate determinant implications.

Your help is greatly appreciated.

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What do you mean by «classic»? – Mariano Suárez-Alvarez Feb 3 '12 at 19:43
factorize elements of a matrix? That's a question about the ring from which the elements are taken, not a question about matrices. Do you want to rephrase your question? – Gerry Myerson Feb 3 '12 at 23:55
up vote 3 down vote accepted

F. R. Gantmacher's The Theory of Matrices (2 Volumes)(1959), AMS Chelsea Publishing (trans. K.A. Hirsch), is certainly a classic treatise. I find it useful on occasion for its discussion of Lyapunov stability and eigenvalue/root location via Routh-Hurwitz (vol. 2), but the basics are well-covered in vol. 1.

A bit expensive to buy new, but worth your while keeping an eye out for used copies.

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Golub and Van Loan's Matrix Computations is kind of a standard reference, but it is actually more oriented towards numerical linear algebra, with a strong emphasize of algorithmic questions, though not without extensive analyses of their theoretical foundations.

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Horn and Johnson's Matrix Analysis is also widely used as a reference. Recently I came across Harville's Matrix algebra from a statistician's perspective, and it's pretty useful too (especially for vec operator and matrix derivatives).

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I think Halmos: "Finite Dimensional Vector Spaces" is regarded as a classic by many, though it has a more general approach, i.e. what many people might call "Linear Algebra done right" or something along those lines .

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