Let λ ER and consider the matrix J = 1 0 X 0 0 00 1 0 0 λ 1 0 0 X € M4. (a) Show that A is the only eigenvalue of J. What is its algebraic multiplicity? (b) Find a basis for E(J, λ) and determine the geometric multiplicity of X. (c) Using your answers in (a) and (b) together with Theorem 3.32, explain why J is not diagonalizable.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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Let λ ER and consider the matrix
J
—
X 1 00
0 X 1 0
0 0 X 1
000X
€ M4.
(a) Show that λ is the only eigenvalue of J. What is its algebraic multiplicity?
(b) Find a basis for E(J, λ) and determine the geometric multiplicity of λ.
(c) Using your answers in (a) and (b) together with Theorem 3.32, explain why J is not diagonalizable.
Transcribed Image Text:Let λ ER and consider the matrix J — X 1 00 0 X 1 0 0 0 X 1 000X € M4. (a) Show that λ is the only eigenvalue of J. What is its algebraic multiplicity? (b) Find a basis for E(J, λ) and determine the geometric multiplicity of λ. (c) Using your answers in (a) and (b) together with Theorem 3.32, explain why J is not diagonalizable.
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