Multiple Choice Questions

Similar documents
Chapter If M is the matrix 0 0 1, then M 100 is. (c) (a) (b) (d) (e) None of the above. (b) 2.

The set of all solutions to the homogeneous equation Ax = 0 is a subspace of R n if A is m n.

MATH 3321 Sample Questions for Exam 3. 3y y, C = Perform the indicated operations, if possible: (a) AC (b) AB (c) B + AC (d) CBA

1. Let m 1 and n 1 be two natural numbers such that m > n. Which of the following is/are true?

Matrices and RRE Form

1. TRUE or FALSE. 2. Find the complete solution set to the system:

DEF 1 Let V be a vector space and W be a nonempty subset of V. If W is a vector space w.r.t. the operations, in V, then W is called a subspace of V.

Math 3013 Problem Set 4

CONSISTENCY OF EQUATIONS

MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS

Notes on Row Reduction

Fall 2016 MATH*1160 Final Exam

Solutions of Linear system, vector and matrix equation

Abstract Vector Spaces and Concrete Examples

4 Elementary matrices, continued

2. Every linear system with the same number of equations as unknowns has a unique solution.

1. Determine by inspection which of the following sets of vectors is linearly independent. 3 3.

Row Space, Column Space, and Nullspace

Lecture 3: Linear Algebra Review, Part II

Linear System Equations

Math x + 3y 5z = 14 3x 2y + 3z = 17 4x + 3y 2z = 1

MATH 2050 Assignment 6 Fall 2018 Due: Thursday, November 1. x + y + 2z = 2 x + y + z = c 4x + 2z = 2

Problem 1: Solving a linear equation

Linear equations in linear algebra

BASIC NOTIONS. x + y = 1 3, 3x 5y + z = A + 3B,C + 2D, DC are not defined. A + C =

2.3 Terminology for Systems of Linear Equations

Section 1.5. Solution Sets of Linear Systems

22m:033 Notes: 1.2 Row Reduction and Echelon Forms

Math 308 Discussion Problems #4 Chapter 4 (after 4.3)

b for the linear system x 1 + x 2 + a 2 x 3 = a x 1 + x 3 = 3 x 1 + x 2 + 9x 3 = 3 ] 1 1 a 2 a

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics MATH M Test #1. July 11, 2013 Solutions

Math 2114 Common Final Exam May 13, 2015 Form A

Solutions to Exam I MATH 304, section 6

Lecture 2 Systems of Linear Equations and Matrices, Continued

Linear Algebra Practice Problems

Matrix equation Ax = b

MATH 54 - WORKSHEET 1 MONDAY 6/22

Review for Chapter 1. Selected Topics

4 Elementary matrices, continued

Math 102, Winter 2009, Homework 7

Math 301 Test I. M. Randall Holmes. September 8, 2008

Linear Algebra Final Exam Study Guide Solutions Fall 2012

Math 2030 Assignment 5 Solutions

Linear Equations in Linear Algebra

Fact: Every matrix transformation is a linear transformation, and vice versa.

MATH 2331 Linear Algebra. Section 1.1 Systems of Linear Equations. Finding the solution to a set of two equations in two variables: Example 1: Solve:

Chapter 3. Directions: For questions 1-11 mark each statement True or False. Justify each answer.

Linear Algebra Math 221

MathQuest: Linear Algebra

is a 3 4 matrix. It has 3 rows and 4 columns. The first row is the horizontal row [ ]

Math 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix

MATH 304 Linear Algebra Lecture 10: Linear independence. Wronskian.

Quizzes for Math 304

Exercises Chapter II.

MA 242 LINEAR ALGEBRA C1, Solutions to First Midterm Exam

T ((x 1, x 2,..., x n )) = + x x 3. , x 1. x 3. Each of the four coordinates in the range is a linear combination of the three variables x 1

Elementary matrices, continued. To summarize, we have identified 3 types of row operations and their corresponding

3.4 Elementary Matrices and Matrix Inverse

Linear Equations in Linear Algebra

Week #4: Midterm 1 Review

Section 2.2: The Inverse of a Matrix

Name: Section Registered In:

Linear Combination. v = a 1 v 1 + a 2 v a k v k

Linear Algebra 1 Exam 1 Solutions 6/12/3

Matrices and systems of linear equations

Linear Algebra March 16, 2019

Math 308 Midterm Answers and Comments July 18, Part A. Short answer questions

Linear algebra and differential equations (Math 54): Lecture 10

Midterm 1 Review. Written by Victoria Kala SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015

Span & Linear Independence (Pop Quiz)

MATH 307 Test 1 Study Guide

Math 54 HW 4 solutions

Linear Algebra Highlights

Math 308 Practice Final Exam Page and vector y =

Chapter 5. Linear Algebra. Sections A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form

Homework 1 Due: Wednesday, August 27. x + y + z = 1. x y = 3 x + y + z = c 2 2x + cz = 4

Math 54 Homework 3 Solutions 9/

Math 308 Spring Midterm Answers May 6, 2013

Lecture Notes in Linear Algebra

CHAPTER 1 Systems of Linear Equations

Linear independence, span, basis, dimension - and their connection with linear systems

DM559 Linear and Integer Programming. Lecture 2 Systems of Linear Equations. Marco Chiarandini

Chapter 5. Linear Algebra. A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form

Row Reduction and Echelon Forms

Section 5.3 Systems of Linear Equations: Determinants

SECTION 3.3. PROBLEM 22. The null space of a matrix A is: N(A) = {X : AX = 0}. Here are the calculations of AX for X = a,b,c,d, and e. =

Lecture 6: Spanning Set & Linear Independency

Handout 1 EXAMPLES OF SOLVING SYSTEMS OF LINEAR EQUATIONS

Math 3A Winter 2016 Midterm

0.0.1 Section 1.2: Row Reduction and Echelon Forms Echelon form (or row echelon form): 1. All nonzero rows are above any rows of all zeros.

Linear Equation: a 1 x 1 + a 2 x a n x n = b. x 1, x 2,..., x n : variables or unknowns

Linear Algebra Exam 1 Spring 2007

GEOMETRY OF MATRICES x 1

MathQuest: Linear Algebra. Answer: (False). We can write the third vector as a linear combination of the first two: v 3 = 3v 1 +2v 2.

Linear Algebra I Lecture 10

5x 2 = 10. x 1 + 7(2) = 4. x 1 3x 2 = 4. 3x 1 + 9x 2 = 8

MATH 304 Linear Algebra Lecture 20: Review for Test 1.

Review Solutions for Exam 1

Lecture 3i Complex Systems of Equations (pages )

Chapter 1. Vectors, Matrices, and Linear Spaces

Transcription:

Multiple Choice Questions There is no penalty for guessing. Three points per question, so a total of 48 points for this section.. What is the complete relationship between homogeneous linear systems of equations, and the zero solution (all unknowns equal to zero)? (a) If a solution to a homogeneous linear system exists at all, then the zero solution will be a solution (b) The zero solution is always a solution to both homogeneous and inhomogeneous linear systems (c) The zero solution can be a solution to both homogeneous and inhomogeneous linear systems, but only if the equations are solvable (d) The zero solution is never a solution to inhomogeneous linear systems, and may or may not be a solution to homogeneous linear systems (e) The zero solution is always a solution to homogeneous linear systems, and never a solution to inhomogeneous linear systems Solution: (e). This is covered in Section 2.5. 2. Let V be a vector space, and let W be a subset of V. What does it mean when we say that W is closed under scalar multiplication? (a) Whenever x is in W and c is a scalar, then cx is in V. (b) Whenever x is in V and c is a scalar, then cx is in V. (c) Whenever x is in V and c is a scalar, then cx is in W. (d) Whenever x is in W and c is a scalar, then cx is in W. (e) If cx is in W and c is a scalar, then x is in W. Solution: (d) 3. Which of the following statements is not an axiom for vector spaces? (a) For all x, y V we have x + y = y + x (b) For all x, y, z V, we have (x + y) + z = x + (y + z) (c) For all x, y, z V, we have (xy)z = x(yz) (d) All of the above are axioms for vector spaces.

Solution: (c) There is no such thing as multiplication of vectors in a general vector space. 4. What is the solution to the following system of equations? (a) x = 4 and y = 5 (b) x = 2 and y = 2x + y = 3 3x y = 7 (c) x = 2 and y = 2 (d) There are an infinite number of solutions to this system. (e) There are no solutions to this system. Solution: (b). 5. A system of 5 linear equations in 7 variables could not have exactly solutions. (a) (b) (c) infinite (d) More than one of these is impossible. (e) All of these are possible numbers of solutions. Solution: (b). 6. Which augmented matrix represents the following system of equations? (The augmented matrix is constructed with order of variables x, y.) [ ] 2 3 (a) 4 5 6 [ ] 2 3 (b) 4 5 6 [ ] 2 3 (c) 5 4 6 x + 2y = 3 4y + 5x = 6 Page 2

(d) [ 2 3 5 4 6 ] Solution: (c). 7. What is the solution to the system of equations represented with this augmented matrix? (Assume that the variables are x, y, z, in that order.) 3 2 2 3 (a) x = 2, y = 3, z = 4 (b) x =, y =, z = (c) There are infinitely many solutions. (d) There is no solution. (e) We can t tell without having the system of equations. Solution: (c). We see that the matrix is in reduced row echelon form and that z is a free variable. 3 6 8. If A is a 3 3 matrix such that A = and A 4 =, then the product A 7 is 2 5 8 (a) (b) 2 (c) 9 (d) (e) Not uniquely determined by the information given Page 3

Solution: (b). Notice that 3 6 2 4 = 7 5 2 8 and use the fact that matrix multiplication is a linear function. 9. Calculate the matrix product [ ] 3 (a) 2 2 [ ] 2 (b) 2 5 [ ] (c) 6 2 [ ] [ ] 2 2 2 3 (d) None of the above answers is correct. (e) This matrix multiplication is not defined. Solution: (a).. When we put a matrix A into reduced row echelon form, we get the matrix (a) The matrix A has no inverse. (b) The matrix we have found is the inverse of the matrix A. (c) Matrix A has an inverse, but this isn t it. (d) This tells us nothing about whether A has an inverse. [ ] 2. This means that Solution: (a). A matrix has an inverse iff its reduced row echelon form is the identity.. Find a matrix A such that and give its first row (a) (2, ) (b) (, ) ( 2A T + [ ] ) T 2 = [ ] Page 4

(c) ( /2, /2) (d) (, /2) (e) (/2, ) Solution: (b). Use (A + B) T = A T + B T and (A T ) T = A. 2. Which matrix product is defined? 2 2 2 (a) 2 2 2 2 2 [ ] [ ] 3 (b) 2 [ ] 2 3 (c) 2 2 3 2 (d) [ 2 3 4 ] 2 3 4 Solution: (d). This is a 4 matrix times a 4 matrix. 3. If the augmented matrix [A b] of a system Ax = b is row equivalent to Which of the following is true? (a) The system is inconsistent. 5 (b) x = 2 s is a solution for any value of s. 5 (c) x = 2 is the unique solution of the system. 5s (d) x = 2s is a solution for any value of s. s 5 2. Page 5

5 (e) x = 3 is the unique solution to the system. Solution: (e). Notice that this matrix is not in reduced row echelon form. 4. If C is a n 4 matrix and D =, then the second column of the matrix CD is (a) The same as the second column of C (b) The sum of the first and second columns of C (c) The sum of the second and fourth columns of C (d) The same as the third row of D (e) The sum of the first and the third columns of C Solution: (a). Note that the second column of CD is Cd 2, where d 2 is the second column of D. Then note that d 2 = e 2, and Ce 2 is the second column of C. 4 5. What is the dot product of the vectors and 2? 3 (a) 2 3 (b) 5 (c) (d) The dot product of this pair of vectors is not defined. Solution: (b) 6. What can we say about two vectors whose dot product is negative? (a) The vectors are orthogonal (b) The angle between the two vectors is less than 9 Page 6

(c) The angle between the two vectors is greater than 9 (d) None of the above statements is correct. Solution: (c). Use the formula u v = u v cos(θ). Page 7