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A matrix methods midterm exam from october 1, 2003, including problems on finding conditions for a solution to exist, describing the nullspace and column space, ldu decomposition, invertibility conditions, and subspaces in the vector space of 2 × 2 matrices. Extra credit includes a question on matrix multiplication and invertibility.
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Matrix Methods Midterm 1: October 1, 2003
Remember to show your work. A correct answer without explanation receives no credit. This exam is closed-book, closed notes, no calculators. You are allowed a one-page cheat sheet. If you find that the arithmetic for a given problem seems complicated, go back and check your work. I have written the exam so that the calculations are not hard. Wherever possible, I recommend that you check your arithmetic by plugging in to the original equations.
(a) Find any conditions on b so that Ax = b has a solution, for A =
and b =
b 1 b 2 b 3
.
(b) Describe the nullspace of A. Give both a formula and a geometric description. (c) Find the general solution to Ax = b, when the solution exists. (d) Describe the column space of A. Give both a formula and a geometric description. (e) What is the rank of A?
a a a a b b a b c
.
(b) Under what conditions on a, b, c, and d is A invertible?
(a) Describe a subspace of M 2 × 2 that contains A =
[ 1 0 0 0
] but not B =
[ 0 0 0 − 1
] . (b) If a subspace of M 2 × 2 contains A and B, must it contain I?
(a) Does the set of vectors of the form
a a + 2 a
form a vector subspace in R (^3)?
(b) If A is an n × n invertible matrix, is (AT^ )^2 always invertible? If so, describe its inverse. (c) Given that A, B, and C are n×n matrices, suppose that C is invertible, (A−B)C = 0 and B = AT^. Prove that A is symmetric. Extra Credit: Suppose A is a 2 × 1 matrix and B is a 1 × 2 matrix. Is it possible for C = AB to be invertible? Explain why or why not.