Problem 1 (Diagonalisation) Let A == 5 -4 2 4 -2 2 0 -3 2 € R3x3 a) Show that λ = 1 is an eigenvalue of A with geometric multiplicity 2, and determine a basis for the corresponding eigenspace. 2 b) Show that v := 2 is an eigenvector of A, and calculate the associated eigenvalue. c) Show that A is diagonalisable and find an invertible matrix X E R3x3 and a diagonal matrix D such that X-¹AX = D.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter4: Eigenvalues And Eigenvectors
Section4.3: Eigenvalues And Eigenvectors Of N X N Matrices
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Problem 1 (Diagonalisation)
Let
5 -4 2
A==
-- (1:0)
=
-2 2
-3 2 ER³X3
a) Show that \
and determine a basis for the corresponding eigenspace.
-
1 is an eigenvalue of A with geometric multiplicity 2,
b) Show that v :=
(3)
2 is an eigenvector of A,
and calculate the associated eigenvalue.
c) Show that A is diagonalisable and find an invertible matrix X E R³×3 and a diagonal matrix D
such that X-¹AX = D.
d) Find a 3 x 3-matrix B such that B2 = A.
Transcribed Image Text:Problem 1 (Diagonalisation) Let 5 -4 2 A== -- (1:0) = -2 2 -3 2 ER³X3 a) Show that \ and determine a basis for the corresponding eigenspace. - 1 is an eigenvalue of A with geometric multiplicity 2, b) Show that v := (3) 2 is an eigenvector of A, and calculate the associated eigenvalue. c) Show that A is diagonalisable and find an invertible matrix X E R³×3 and a diagonal matrix D such that X-¹AX = D. d) Find a 3 x 3-matrix B such that B2 = A.
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