Matrix A is factored in the form PDP'. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 20 -2 -20 -1 300 0 0 1 A= 2 3 4 = | 0 1 2 0 3 0 2 1 4 0 0 3 1 0 0 0 0 2 -10 -2 Select the correct choice below and fill in the answer boxes to complete your choice. (Use a comma to separate vectors as needed.) O A. There is one distinct eigenvalue, = A basis for the corresponding eigenspace is { O B. In ascending order, the two distinct eigenvalues are 11 = and , = Bases for the corresponding eigenspaces are { and { }, respectively. O C. In ascending order, the three distinct eigenvalues are , = , and 13 = Bases for the corresponding eigenspaces are }, and }, respectively.
Matrix A is factored in the form PDP'. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 20 -2 -20 -1 300 0 0 1 A= 2 3 4 = | 0 1 2 0 3 0 2 1 4 0 0 3 1 0 0 0 0 2 -10 -2 Select the correct choice below and fill in the answer boxes to complete your choice. (Use a comma to separate vectors as needed.) O A. There is one distinct eigenvalue, = A basis for the corresponding eigenspace is { O B. In ascending order, the two distinct eigenvalues are 11 = and , = Bases for the corresponding eigenspaces are { and { }, respectively. O C. In ascending order, the three distinct eigenvalues are , = , and 13 = Bases for the corresponding eigenspaces are }, and }, respectively.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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