Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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- The matrix The eigenvalue 1 is 0 A = 1 1 0 1 -1 has two real eigenvalues, one of multiplicity 1 and one of multiplicity 2. Find the eigenvalues and a basis for each eigenspace. The eigenvalue λ2 is -1 1 2 and a basis for its associated eigenspace is { and a basis for its associated eigenspace isarrow_forwardA diagonalization of the matrix A is given in the form P-¹AP = D. List the eigenvalues of A and bases for the corresponding eigenspaces. (Repeated eigenvalues should be entered repeatedly with the same eigenspaces.) d₁= = ^₂ = 13 = 1007240 18 1007/N +10 18 18 2 1 4 1 2 5 9 4 4 4 0 0 1 4 4 3 9 1 0 1 -1 1 8 0 -1 has eigenspace span has eigenspace span has eigenspace = 80 0 00 0 0 0 -1 (LF) span (smallest λ-value) (largest λ-value)arrow_forwardThe matrix * 8 0. A = 0. -2 -2 -6 has one real eigenvalue. Find this eigenvalue and a basis of the eigenspace. The eigenvalue is A basis for the eigenspace isarrow_forward
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