Unformatted text preview: orthogonal projection of ! b on W = col(A). 7. Solve the eigenvalue problem A ! x = ! ! x for the eigenvalues and corresponding eigenvectors. 8. Each eigenvalue has an eigenspace. Find a basis for each eigenspace. 9. State the algebraic multiplicity and geometric multiplicity for each eigenvalue. 10. Let AP = PD for the symmetric matrix A and P. Show that P is an orthogonal matrix. 11. Find the eigenvalues of A by solving AP = PD for the diagonal matrix D; show that A = PDP T . 12. Compute the Wronskian and show that S is a linearly independent set of vectors....
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This note was uploaded on 10/18/2011 for the course MAS 2103 taught by Professor Shaw during the Summer '11 term at Valencia.
 Summer '11
 Shaw

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