Orthonormal Diagonalization - A First Course in Linear Algebra


We have seen in Section SD that under the right conditions a square matrix is similar to a diagonal matrix. We recognize now, via Theorem SCB, that a similarity transformation is a change of basis on a matrix representation. So we can now discuss the choice of a basis used to build a matrix representation, and decide if some bases are better than others for this purpose. This will be the tone of this section. We will also see that every matrix has a reasonably useful matrix representation, and we will discover a new class of diagonalizable linear transformations. First we need some basic facts about triangular matrices.

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Submitted At
September 11th, 2017
 7 years ago
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 English
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September 11th, 2017 7 years ago

Submitted by Jim Fowler