Fraction-free Linear Algebra
David Jeffrey djeffrey@uwo.ca
Applied Mathematics University Western Ontario Canada
Abstract
Humans and computers hate fractions and square roots. If a
matrix problem contains only integers, then a computer algebra system prefers
to compute with integers, rather than fractions. However, many standard topics
in linear algebra are treated in such a way that students and computers are
forced to use fractions or square roots. Alternative treatments are fraction-free
or square root free. In this talk, I show how the standard topics of Gaussian
Elimination and Gram-Schmidt can be re-worked using only integers. The material
on Gaussian elimination has been developed by many authors, but the Gram-Schmidt
process is new.
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