The matrix A is a real symmetric 5 x 5 matrix with eigenvalues 3,7, 10, 15, and 21. The vector æ1 is an eigenvector of A with eigenvalue 3, the vector x, is an eigenvector of A with eigenvalue 7, the vector a3 is an eigenvector of A with eigenvalue 10, the vector 24 is an eigenvector of A with eigenvalue 15, and the vector æ; is an eigenvector of A with eigenvalue 21. Compute the dot products of the eigenvectors a with each other. x1. x2 = x1• 23 = x1. X4 = x2· X3 = x2 · X4 = X2 · X5 = X3 · X4 = x3 · X5 = X4 . X5 =

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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The matrix A is a real symmetric 5 x 5 matrix with eigenvalues 3, 7, 10, 15, and 21. The vector xị is an eigenvector of A
with eigenvalue 3, the vector x2 is an eigenvector of
eigenvalue 10, the vector x4 is an eigenvector of A with eigenvalue 15, and the vector x; is an eigenvector of A with
eigenvalue 21.
with eigenvalue 7, the vector x3 is an eigenvector of A with
Compute the dot products of the eigenvectors a; with each other.
21. x2 =
I1. X3 =
X1. 24 =
x2 · X3 =
I2 · X4 =
X2 · X5 =
13 · X4 =
13 · X5 =
X4: x5 =
Transcribed Image Text:The matrix A is a real symmetric 5 x 5 matrix with eigenvalues 3, 7, 10, 15, and 21. The vector xị is an eigenvector of A with eigenvalue 3, the vector x2 is an eigenvector of eigenvalue 10, the vector x4 is an eigenvector of A with eigenvalue 15, and the vector x; is an eigenvector of A with eigenvalue 21. with eigenvalue 7, the vector x3 is an eigenvector of A with Compute the dot products of the eigenvectors a; with each other. 21. x2 = I1. X3 = X1. 24 = x2 · X3 = I2 · X4 = X2 · X5 = 13 · X4 = 13 · X5 = X4: x5 =
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