Math 22 Fall 2018 Midterm 2

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Math 22 Fall 218 Midterm 2 October 23, 218 NAME: SECTION (check one box): Section 1 (S. Allen 12:5) Section 2 (A. Babei 2:1) Instructions: 1. Write your name legibly on this page, and indicate your section by checking the appropriate box. 2. Except on clearly indicated short answer problems, you must explain what you are doing, and show your work. You will be graded on your work, not just on your answer. Make it clear and legible so we can follow it. 3. It is fine to leave your answer in a form such as 239 or (385)(13 3 ). However, if an expression can be easily simplified (such as cos(π) or (3 2)), you should simplify it. 4. You may use the last 2 pages and the back of each page for scrap paper. Unless you run out of space and clearly indicate that your solutions are on any designated space for scrap paper, scrap paper will not be graded. 5. This exam is closed book. You may not use notes, computing devices (calculators, computers, cell phones, etc.) or any other external resource. It is a violation of the honor code to give or receive help on this exam.

Math 22 Midterm 2 October 23, 218 Problem Points Score 1 7 2 12 3 3 4 12 5 9 6 1 7 5 Total 58 2 / 14

Math 22 Midterm 2 October 23, 218 1. [7 points] Please indicate whether the following statements are TRUE (T) or FALSE/NOT NECESSARILY TRUE (F) (no working needed, just circle the answer): T An n n matrix A is invertible if and only if det A. [ ] T The map T : P 2 R 2 such that T (p(t)) = is a linear transformation. (Here, P 2 is the vector space consisting of polynomials of p(3) degree at most 2.) T The space P of all polynomials is infinite dimensional. F The column space of an m n matrix is a subspace of R n. T Let A be any matrix with n rows. If there is such a matrix C such that CA = I n, then A is invertible. T Any set of n vectors that span R n is a basis for R n. F Let A be a 3 7 matrix. It is possible that dimnula = 3. 3 / 14

Math 22 Midterm 2 October 23, 218 1 6 2. [12 points] Consider the matrix A = 1 2 8. 3 (a) Find det A. det A = 3 1 6 1 8 + = 3(8 6) = 6 (b) Find det(a 5 ). You do not need to simplify your answer. det(a 5 ) = (det A) 5 = ( 6) 5 (c) Find A 1. 1 6 1 1 2 8 1 3 1 1 6 1 1 6 1 2 2 1 1 3 1 1 6 1 1 1/3 1 1/3 2 2 1 1 2 1 1 2/3 1 4 3 2 1 1/3 1 1/2 1/2 1/3 A 1 = 4 3 2 1/3 1/2 1/2 1/3 4 / 14

Math 22 Midterm 2 October 23, 218 (d) Suppose B is a 3 3 matrix such that det B = 5. Based on your answer for part (a), find each of the following. i. the number of pivot positions of A. 3 ii. rank(ba 1 ). 3 iii. Span Col (A 4 ). R 3 iv. dim Nul B. 5 / 14

Math 22 Midterm 2 October 23, 218 {[ ] } x 3. [3 points] Let V = : x, y be the set of vectors lying in the first quadrant of y the xy-plane. Prove that V is not a vector space. State clearly which axiom does not hold and explain why. [ ] [ ] [ ] x x x V does not satisfy the axiom cu is in V because 1 = so if is in V, x y y y [ ] x and y, i.e., x and y, thus is not in V. y 6 / 14

Math 22 Midterm 2 October 23, 218 4. [12 points] (a) Using the definition of a subspace (and no other theorems), show that the set W consisting of all vectors of the form 4t is a subspace of R 3. s + 3t is in W : + 3() Let s = and t =, then 4() = is in W. W is closed underaddition: s 1 + 3t 1 s 2 + 3t 2 Let u = 4t 1 and v = 4t 2 be in W. Then s 1 + 3t 1 u + v = 4t 1 + s 2 + 3t 2 4t 2 which is also in W. W is closed under scalar multiplication: s + 3t Let u = 4t also in W. (b) Find a basis B for the subspace W. = be in W and c be a scalar. Then cu = (s 1 + s 2 ) + 3(t 1 + t 2 ) 4(t 1 + t 2 ) (cs) + 3(ct) 4(ct) which is s + 3t 1 3 4t = s + t 4 1 3 So, 4 is a basis for W. (They clearly span W, and are linearly independent because neither is a multiple of the other.) 7 / 14

Math 22 Midterm 2 October 23, 218 (c) What is dim W? dim W = 2 (d) Geometrically, what does W represent? W is a plane through the origin (e) Add an appropriate number of vectors to the set B from part (b) so that the new set is a basis for R 3. 1 3, 4, is a basis for R3. 1 8 / 14

Math 22 Midterm 2 October 23, 218 5. [9 points] Let V be a vector space with a basis B = {b 1, b 2, b 3 }. Prove that the coordinate map is one-to-one and onto. Solution. We have the coordinate map V R 3 x [x] B One-to-one: Let u, v V such that [u] B = [v] B = r 1 r 2 r 3. Then u = r 1 b 1 + r 2 b 2 + r 3 b 3 v = r 1 b 1 + r 2 b 2 + r 3 b 3 so u = v, and the transformation is one-to-one. (Alternatively, we may want to show that [x] B = only if x =. Then x = b 1 + b 2 + b 3 =, and the map is again one-to-one.) Onto: Given any x = t 1 b 1 + t 2 b 2 + t 3 b 3, then [x] B = t 1 t 2 t 3 R 3, we want to find its preimage under the coordinate map. Let t 1 t 2 t 3, and the map is onto. 9 / 14

Math 22 Midterm 2 October 23, 218 6. [1 points] Consider the matrix A = 1 1 1 1 2 3 4 3 2 4 2 4 2 (a) Find a basis for NulA. What is dim NulA? Solution. 1 1 1 1 2 1 1 1 1 2 3 4 3 2 4 R 2 R 2 +3R 1 1 1 2 2 4 2 We get R 3 R 3 2R 2. 2 4 2 1 1 1 1 2 1 1 2 x 1 = x 3 2x 4 4x 5 x 2 = x 4 2x 5 x 3, x 4, x 5 free. Since there are 3 free variables, dim NulA = 3. Furthermore 1 2 4 1 2 NulA = x 3 1 + x 4 + x 5 1 1 R 3 R 3 +2R 1 R 1 R 1 +R 2 1 1 1 1 2 1 1 2 2 2 4 1 1 2 4 1 1 2 and a basis is 1 2 4 1 2 1,,. 1 1 1 / 14

Math 22 Midterm 2 October 23, 218 (b) Find a basis for ColA. What is dim ColA? Solution. There are 2 basic variables, so dim ColA = 2. Furthermore, a basis corresponds to the pivot columns in A and we have a basis 1 1 3, 4. 2 4 (c) Find a basis for RowA. Solution. We have dim ColA = dim RowA = 2. Furthermore, a basis corresponds to the pivot rows in the echelon form of A and we have a basis 1 1 1,. 2 1 4 2 11 / 14

Math 22 Midterm 2 October 23, 218 {[ ] [ ]} {[ ] [ ]} 1 4 2 1 7. [5 points] Let B =, and C =, be bases for R 2. 1 3 1 Find the change of basis matrices P and P. C B B C Solution. We have P = [ [b 1 ] C [b 2 ] C ], so we row-reduce concomitantly C B [ c 1 c 2 b 1 b 2 ] = [ I 2 P C B ] so [ 2 1 1 4 1 1 3 ] [ R 1 R 1 +2R 2 P = C B 1 1 2 1 1 3 [ 1 3 1 2 ]. ] [ R 1 R 2 1 1 3 1 1 2 ] Since we get P = ( P B C C B ) 1 [ ] P = 1 2 3 B C 2 ( 3) 1 1 = [ 2 1 1 ] 3 12 / 14

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