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PDF | ~1.15MB | 261 Pages | Sheldon Axler | Springer
This text for a second course in linear algebra is aimed at math majors and graduate students. The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents--without having defined determinants--a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra.
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Read story first!!!
An Australian sheep farmer was puzzled
at the disappearance of sheep on his farm.
After a few weeks of sheep disappearing
the farmer decided to put up an electric
fence.
This is what he found;