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The instructions and problems for the final exam of the appm 3310: matrix methods course, held on april 30, 2011. The exam covers various topics related to matrix methods, including lu and permuted lu decompositions, eigenvalues and eigenvectors, vector subspaces, and the fundamental theorem of linear algebra.
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APPM 3310: Matrix Methods Final Exam — April 30, 2011
On the front of your bluebook print (1) your name, (2) your student ID number, and (3) a grading table. Show all work in your bluebook. Start each problem on a new page. A correct answer with no supporting work may receive no credit while an incorrect answer with some correct work may receive partial credit. One page of notes is permitted, but no other books or electronic devices are allowed. Sign your bluebook under the Honor Code to indicate that you have neither given nor received unauthorized assistance on this exam.
Do problems 1, 2 and 3. Then, choose two of the four problems 4-6 on page 2. Indicate which problem you are skipping by putting an X through that number on your grading table.
(^) , b =
(a) Is A regular or not? If it is regular, find its LU decomposition. If not, find its permuted LU decomposition. (b) Does Ax = b have a solution for every b? Why or why not? Using Gaussian elimination, find the solution for the given b. (c) What is the characteristic polynomial pA(λ) of A? (d) Show that λ = 1 is an eigenvalue of A. What is the eigenvector for this λ? (e) Define a complete matrix. Is A complete?
(a) rng(A) = span
, and corng(A) = span
(b) The vector
(^) is in the kernel of A and
(^) is in the corange of A.
(c) ker A = { 0 } and coker(A) = span
(d) A has an eigenvalue −1 with multiplicity two, but only one eigenvector. (e) A is real, symmetric, and has eigenvalues 2 + i and 2 − i.
(a) Define vector subspace. (b) Show that S is a vector subspace of P (2). (c) Define the L^2 inner product on the interval (0, 2). (d) Find an orthogonal basis for S using the inner product in (c). (e) What is dim(S)? What is the dimension of S⊥, the orthogonal complement of S in P (2)?
Do TWO of the following THREE problems. Mark the problem that you skip with an X in your grading table.
(a) Define the rank of a matrix. What is rank(A)? (b) Find the singular values of A. (c) Find the singular value decomposition of A. (d) What is the condition number of a matrix? What is the condition number of A?
(a) What is tr(A)? (b) What is det(A)? (c) Find A. Note: A must be a real matrix!.
Have a great summer and may the Fundamental Theorem be with you.