
Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
The instructions and problems for exam #1 of the appm 3310: matrix methods course, held on february 20, 2008. The exam covers various topics related to matrix methods, including finding conditions for the existence and uniqueness of solutions to linear systems, calculating fundamental subspaces, and defining and identifying symmetric matrices.
Typology: Exams
1 / 1
This page cannot be seen from the preview
Don't miss anything!

APPM 3310: Matrix Methods — Exam #1 — February 20, 2008
On the front of your bluebook print (1) your name, (2) your student ID number, and (3) a grading table. Explain all of your answers. A correct answer with no supporting work may receive no credit while an incorrect answer with some correct work may receive partial credit. No electronic devices of any kind (e.g. cell phones, calculators, etc.) are permitted.
Please sign your bluebook under the Honor Code to indicate that you have neither given nor received unauthorized assistance on this exam.
(a) Find conditions on b so that Ax = b has (i) one, (ii) none, or (iii) infinitely many solutions. (b) Write your answer to part (a) in vector form, (i.e. b = (b 1 , b 2 , b 3 )T^ ) in order to find a basis for all of the b that have a solution to Ax = b. (c) Find a basis for ker(A) and rng(A). (d) Is the subspace formed by the span of the vectors in part (b) the same as rng(A)? Show this explicitly one way or the other. (e) Find the LU decomposition of A.
(a) Carefully define each of the four fundamental subspaces of an m × n matrix A. State the Fundamental Theorem of Linear Algebra, part 1. (b) Suppose A is an m × n matrix and B is a p × q matrix. If ker(A) = ker(B) show that rank(A) = rank(B). (Hint: How does part (a) help you?) (c) True or False (prove or find a counterexample): ker(A) ⊂ ker(A^2 ) for a square n × n matrix A. (d) (i) Describe three different ways you could tell whether a matrix is singular or nonsingular. (ii) Now, suppose you know A is n × n and Au = Av for some u 6 = v. Is A singular or nonsingular? Explain. (e) Give the definition of symmetric matrix. If A and B are both symmetric, which of the following must be symmetric? (i) A^2 − B^2 ; (ii) (A + B)(A − B); (iii) ABA.
(a) Is V a subspace of P(4), where P(4)^ is the vector space of all polynomials of degree less than or equal to 4? (b) Are the polynomials p 1 (x) = 1 + x^2 , p 2 (x) = 1 − x^2 , and p 3 (x) = 1 − x^4 a basis for V?