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This is an exam for appm 3310: matrix methods course, consisting of three problems that cover topics such as matrix decompositions, vector spaces, and linear transformations. Problem 1 focuses on finding the decomposition of a matrix, determining the rank of the matrix, and solving a system of linear equations. Problem 2 deals with vector spaces, subsets, and bases. Problem 3 has short answer questions on various concepts related to matrices, norms, and inverses.
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APPM 3310: Matrix Methods — Exam #1 — Summer 2012
On the front of your bluebook write (1) your name, (2) TEST 1/3310, (3) SUMMER 2012 and a grading table with 3 problems and a total. A correct answer with no supporting work may receive no credit while an incorrect answer with some correct work may receive partial credit. Start each problem on a new page. No electronic devices of any kind (e.g. cell phones, calculators, etc.) are permitted. A one-page sheet of notes is allowed. SHOW ALL WORK. JUSTIFY ALL YOUR ANSWERS.
Problem 1: (30 pts) Consider the matrix A =
(a) (6 pts) Find a decomposition A = LR where L is special lower triangular and R is in row echelon form (Write down both L and R.) What is the rank of the matrix A?
(b) (6 pts) Is the set
a basis for the range of A? Why or why not?
(c) (6 pts) Find a basis for ker(A).
(d) (6 pts) Now given that b = [4, − 1 , 0]T^ find the general solution of the system Ax = b given above.
(e) (6 pts) Consider the block matrix defined as B =
(^) where A is the same matrix given
above. Write the block matrix B in REF (do not write out the 9 × 12 matrix, instead write it in block form using the fact that R is the REF of A.) What is the rank of B? Justify your answer.
Problem 2: (35 pts) Let V be the set of vector valued functions in R^2 with components from the set of polynomials of degree less than or equal to 2, that is
V ≡
f (t) g(t)
∣∣f (t), g(t) ∈ P(2)
(a) (5 pts) Show that the elements of V are closed under standard vector addition. Justify your answer.
(b) (5 pts) Show that the elements of V are closed under standard scalar multiplication of vectors. Justify your answer.
(c) (5 pts) Is R^2 a subset of V? Justify your answer.
(d) (10 pts) Assuming V is a vector space with real scalars, write down a basis for V, justify your answer. What is the dimension of V?
(e) (5 pts) Write down the coordinates of v =
t 6 + 9t
(f) (5 pts) Is v =
t 6 + 9t
in the span of the vectors v 1 =
t
and v 2 =
t π
? Justify your answer.
Problem 3: (35 pts) Short answer. Each of the questions below are unrelated. Justify your answers.
(a) Define a norm in R^2 by ‖x‖ ≡
xT^ x, show that if xT^ y = 0 then ‖x + y‖^2 = ‖x‖^2 + ‖y‖^2. (b) Does 〈u, v〉 ≡ u 1 v 1 + 2u 2 v 3 + 3u 3 v 2 define a norm in R^3? Why or why not? (c) Always True or False: For any n × n matrix A, det(AT^ A) = det(A^2 ) (Justify your answer.) (d) Always True or False: For an n × m matrix A, if rank(A) = n then ker(A) = {~ 0 } (Justify) (e) If F is 2 × 2 and you add row 1 of F to row 2 of F to get B, how do you find B−^1 from F −^1? (f) If M is the inverse of F 2 , show that F M is the inverse of F. (g) If B and F are m × m and if B is not invertible then is F B invertible? ♠ END ♥