Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 5 - Eigenvalues and Eigenvectors - 5.1 Exercises - Page 274: 29

Answer

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Work Step by Step

An eigenvector will be a vector of 1s. This is an eigenvector because the sums of the entries of the rows of A are all equal to the same number. This means the corresponding eigenvalue will be equal to the sum, which is equal for every row.
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