Linear Algebra and Its Applications, 4th Edition

Published by Brooks Cole
ISBN 10: 0030105676
ISBN 13: 978-0-03010-567-8

Chapter 5 - Section 5.2 - Diagonalization of a Matrix - Problem Set - Page 253: 39

Answer

Every square in the matrix will not have $n^{}$ linearly independent eigenvectors because the null space and column space have the potential to overlap, in which case $x^{}$ would be in both. Additionally, there may not be $r^{}$ independent eigenvectors in the column space.

Work Step by Step

Every square in the matrix will not have $n^{}$ linearly independent eigenvectors because the null space and column space have the potential to overlap, in which case $x^{}$ would be in both. Additionally, there may not be $r^{}$ independent eigenvectors in the column space.
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