Abstract
SummaryThe standard approach to finding eigenvalues relies on solving the characteristic polynomial. But the characteristic polynomial for an n × n matrix will require computing a determinant with n! terms and solving an nth degree polynomial equation, both of which are daunting tasks if . We present a determinant-free approach which often leads to lower-degree polynomial equations, and which provides a natural introduction to the concept of a generalized eigenvector.
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