DEFINITION: algebraic multiplicity of the eigenvalue A is the multiplicity of A as a root of the characteristic equation p(X) = 0. DEFINITION: geometric multiplicity of the eigenvalue A is the number of linearly independent eigenvectors associated with A. Ex Consider the matrix 3 1 1 1 31 1 1 3 R= It is known that p(A) = -(A – 5)(A – 2)². Determine the algebraic multiplicity and the geometric multiplicity of each eigenvalue.

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
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Chapter7: Eigenvalues And Eigenvectors
Section7.1: Eigenvalues And Eigenvectors
Problem 64E
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DEFINITION: algebraic multiplicity of the eigenvalue A is the multiplicity of A as a root of the
characteristic equation p(A) = 0.
DEFINITION: geometric multiplicity of the eigenvalue A is the number of linearly independent
eigenvectors associated with d.
Ex
Consider the matrix
3
1
1
R :
1
3
1
1
1
3
It is known that p(A) = -(A – 5)(A – 2)². Determine the algebraic multiplicity and the geometric
multiplicity of each eigenvalue.
Transcribed Image Text:DEFINITION: algebraic multiplicity of the eigenvalue A is the multiplicity of A as a root of the characteristic equation p(A) = 0. DEFINITION: geometric multiplicity of the eigenvalue A is the number of linearly independent eigenvectors associated with d. Ex Consider the matrix 3 1 1 R : 1 3 1 1 1 3 It is known that p(A) = -(A – 5)(A – 2)². Determine the algebraic multiplicity and the geometric multiplicity of each eigenvalue.
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