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This is the Solved Exam of Matrix Methods which includes Row Operations, Multiple, Adding, Exchanging, Matrix Multiplies, Determinant, Scalar Multiplies, Cofactor Expansions etc. Key important points are: Necessary Properties, Symmetric, Matrices, Compute, Statements, Nullspace, Element, Subspace, Zero Vector, Vector Space
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APPM 3310: Matrix Methods — Exam #1 — February 27, 2006
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. A correct answer with no supporting work may receive no credit while an incorrect answer with some correct work may receive partial credit. Textbooks, class notes and calculators are not permitted.
Please sign your bluebook under the Honor Code to indicate that you have neither given nor received unauthorized assistance on this exam.
(a) For two matrices A and B, if AB = 0 then A = 0 or B = 0. (b) If A is a nonsingular matrix then AB = 0 implies that B = 0. (c) If C and D are symmetric matrices, so is CD. (d) If A = LU , then det(A) = det(U ). (e) If A is a 3 × 3 matrix and the equation Ax = (1, 0 , 0)T^ has a unique solution, then A is invertible.
(a) Show that V is a subspace of P (3). (A complete answer for this question will include a definition of subspace.) (b) Find a basis for V.
(a) Give the definition for the kernel of an arbitrary m × n matrix. Find a basis for ker A for A given in this problem. (b) Give the definition for the range of an arbitrary m × n matrix. Find a basis for rng(A). (c) State the Fundamental Theorem of Linear Algebra. Give the dimensions of each of the four fundamental subspaces of matrix A. (d) For what values of k does the system Ax = b for b = (1, k, 2)T^ , have a solution? Find the general solution(s) for these values of k.