Name: MATH 3195 :: Fall 2011 :: Exam 2. No document, no calculator, 1h00. Explanations and justifications are expected for full credit.

Similar documents
Section 1.1 System of Linear Equations. Dr. Abdulla Eid. College of Science. MATHS 211: Linear Algebra

Linear Algebra Practice Problems

EXAM. Exam #1. Math 2360, Second Summer Session, April 24, 2001 ANSWERS

Review for Exam Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions.

Solutions to Exam I MATH 304, section 6

Relationships Between Planes

MATH 152 Exam 1-Solutions 135 pts. Write your answers on separate paper. You do not need to copy the questions. Show your work!!!

Solutions to Final Exam 2011 (Total: 100 pts)

Math "Matrix Approach to Solving Systems" Bibiana Lopez. November Crafton Hills College. (CHC) 6.3 November / 25

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

Math 18, Linear Algebra, Lecture C00, Spring 2017 Review and Practice Problems for Final Exam

No books, notes, any calculator, or electronic devices are allowed on this exam. Show all of your steps in each answer to receive a full credit.

Determinants Chapter 3 of Lay

Math 3C Lecture 20. John Douglas Moore

Lecture 6 & 7. Shuanglin Shao. September 16th and 18th, 2013

MATH 1210 Assignment 4 Solutions 16R-T1

EXAM. Exam #3. Math 2360 Fall 2000 Morning Class. Nov. 29, 2000 ANSWERS

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

MATH 1553 SAMPLE FINAL EXAM, SPRING 2018

Methods for Solving Linear Systems Part 2

Math 2940: Prelim 1 Practice Solutions

Math 54 First Midterm Exam, Prof. Srivastava September 23, 2016, 4:10pm 5:00pm, 155 Dwinelle Hall.

[ Here 21 is the dot product of (3, 1, 2, 5) with (2, 3, 1, 2), and 31 is the dot product of

ECON 186 Class Notes: Linear Algebra

This MUST hold matrix multiplication satisfies the distributive property.

MATH. 20F SAMPLE FINAL (WINTER 2010)

Properties of the Determinant Function

Section 5.6. LU and LDU Factorizations

MATH 1553, C.J. JANKOWSKI MIDTERM 1

MIDTERM 1 - SOLUTIONS

Math 308 Practice Final Exam Page and vector y =

Determine whether the following system has a trivial solution or non-trivial solution:

Mid-term Exam #1 MATH 205, Fall 2014

Math 221 Midterm Fall 2017 Section 104 Dijana Kreso

Math 313 (Linear Algebra) Exam 2 - Practice Exam

MAC1105-College Algebra. Chapter 5-Systems of Equations & Matrices

Elementary Matrices. MATH 322, Linear Algebra I. J. Robert Buchanan. Spring Department of Mathematics

System of Linear Equations

Chapter 1: Systems of Linear Equations and Matrices

Problem 1: Solving a linear equation

Math 315: Linear Algebra Solutions to Assignment 7

MATH 2360 REVIEW PROBLEMS

1. Select the unique answer (choice) for each problem. Write only the answer.

Math 320, spring 2011 before the first midterm

Chapter 2:Determinants. Section 2.1: Determinants by cofactor expansion

Section 5.3 Systems of Linear Equations: Determinants

MATH 213 Linear Algebra and ODEs Spring 2015 Study Sheet for Midterm Exam. Topics

Properties of Linear Transformations from R n to R m

7.6 The Inverse of a Square Matrix

Math 2174: Practice Midterm 1

Math 220 Some Exam 1 Practice Problems Fall 2017

Determinants and Scalar Multiplication

In Class Peer Review Assignment 2

Linear Algebra: Sample Questions for Exam 2

Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00)

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

Linear Algebra Math 221

1 - Systems of Linear Equations

Problem Point Value Points

6-2 Matrix Multiplication, Inverses and Determinants

EBG # 3 Using Gaussian Elimination (Echelon Form) Gaussian Elimination: 0s below the main diagonal

Math 2331 Linear Algebra

The scope of the midterm exam is up to and includes Section 2.1 in the textbook (homework sets 1-4). Below we highlight some of the important items.

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

Linear Algebra 1 Exam 1 Solutions 6/12/3

Math 344 Lecture # Linear Systems

MATH 2331 Linear Algebra. Section 2.1 Matrix Operations. Definition: A : m n, B : n p. Example: Compute AB, if possible.

ANSWERS. E k E 2 E 1 A = B

Pre-Calculus I. For example, the system. x y 2 z. may be represented by the augmented matrix

Formula for the inverse matrix. Cramer s rule. Review: 3 3 determinants can be computed expanding by any row or column

Chapter 3. Determinants and Eigenvalues

Math 1021, Linear Algebra 1. Section: A at 10am, B at 2:30pm

Linear Algebra Exam 1 Spring 2007

Reduction to the associated homogeneous system via a particular solution

Evaluating Determinants by Row Reduction

MATH 33A LECTURE 3 PRACTICE MIDTERM I

Matrices and RRE Form

E k E k 1 E 2 E 1 A = B

PROBLEM SET. Problems on Eigenvalues and Diagonalization. Math 3351, Fall Oct. 20, 2010 ANSWERS

Rank and Nullity. MATH 322, Linear Algebra I. J. Robert Buchanan. Spring Department of Mathematics

Lecture 2 Systems of Linear Equations and Matrices, Continued

80 min. 65 points in total. The raw score will be normalized according to the course policy to count into the final score.

MATH 323 Linear Algebra Lecture 6: Matrix algebra (continued). Determinants.

CHAPTER 1 Systems of Linear Equations

Lecture 10: Determinants and Cramer s Rule

Problem # Max points possible Actual score Total 120

Question: Given an n x n matrix A, how do we find its eigenvalues? Idea: Suppose c is an eigenvalue of A, then what is the determinant of A-cI?

MA 265 FINAL EXAM Fall 2012

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

1111: Linear Algebra I

Math 304 Fall 2018 Exam 3 Solutions 1. (18 Points, 3 Pts each part) Let A, B, C, D be square matrices of the same size such that

MAC Module 3 Determinants. Learning Objectives. Upon completing this module, you should be able to:

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

Introduction to Determinants

Solving Linear Systems Using Gaussian Elimination

3.4 Elementary Matrices and Matrix Inverse

Math 240 Calculus III

Linear System Equations

MATH 54 - WORKSHEET 1 MONDAY 6/22

Transcription:

Name: MATH 3195 :: Fall 2011 :: Exam 2 No document, no calculator, 1h00. Explanations and justifications are expected for full credit. 1. ( 4 pts) Say which matrix is in row echelon form and which is not. If the matrix is in row echelon form then give the associated reduced row echelon form and enumerate the free and leading variables. are nonzero entries. (a) (b) 0 0 0 0 0 0 0 0. 0, 2. (6 pts) For each problem, give the solution set in parametric form. (a) { x1 + 3x 2 + + x 4 + 6x 5 = 2, x 3 + 2x 4 + x 5 = 1. (b) { x1 + 3x 2 + 4x 3 + 2x 4 + 3x 5 = 0, x 2 + x 3 + 2x 4 + 2x 5 = 1. 3. (6 pts) For each matrix equality, give the elementary coefficient matrix that enables to go from the right to the left. You can either multiply by the elementary matrix on the left or on the right but not on both sides. (a) ( L 2 L 2 3L 1 ) and ( L 3 L 3 6L 1 ) 1 3 8 5 0 7 15 14 0 17 47 30 = 1 3 8 5 3 2 9 1 6 1 1 0

(b) ( C 2 C 2 5C 1 ) and ( C 3 C 4 ) 1 0 7 8 3 13 9 1 8 31 0 0 4 17 8 5 = 1 5 7 8 3 2 9 1 8 9 0 0 4 3 8 5 4. (10 pts) Give the set of solution for the two 2x2 linear systems of equations below using three different ways. 1) Using row echelon form. (Reduced or not.) 2) Using the formula for the inverse of a 2 by 2 matrix, find the inverse of A. Then use the inverse of A to solve the system Ax = b. 3) Using Cramer s Rule. Please be clear. If a technique does not work, say it. { 5x + 6y = 12 (a) 3x + 4y = 6 { x + 2y = 2 (b) 2x + 4y = 4 5. (10 pts) Give the set of solutions. (a) { x + 2y = 1 x + ky = 1 { 2x + y = 1 (b) 8x + 4y = k 6. (5 pts) Find the equation of the line which goes by the points (1,2) and (3,-1). 7. (8 pts) Find the cartesian equation for the circle determined by the three points: (-1,5), (5,-3) and (6,4). What are the center and the radius of this circle? 8. (8 pts) Compute the determinant of 1 4 4 1 0 1 2 2 3 3 1 4 0 1 3 2. 9. (6 pts) Compute the inverse of 1 4 3 1 4 5 2 5 1 (6 pts) With your own words, explain why the process you have used works. (This is a discussion about elementary matrices.) 10. (6 pts) We consider the linear system Ax = b. (Matrix A is square, n-by-n.) We consider three different cases, in each case, we want to know whether it has (a) a unique solution, (b) an infinite number of solutions or (c) no solution. Justification required. Case 1: b = 0 and det(a) = 0. Case 2: b is anything, A is row equivallent to the identity matrix. Case 3: b is anything, A is not invertible (so A 1 does not exist)..

11. (6 pts) Consider Ax = b where A is m-by-n, what is the size of x? what is the size of b? 12. (4 pts) Consider Ax = b where A is square (n-by-n) and invertible, how would you find x using the backslash notation? 13. (8 pts) Prove that the inverse of a diagonal matrix is a diagonal matrix.

1. ( 4 pts) Say which matrix is in row echelon form and which is not. If the matrix is in row echelon form then give the associated reduced row echelon form and enumerate the free and leading variables. are nonzero entries. (a) (b) 0 0 0 0 0 0 0 0. 0,

2. (6 pts) For each problem, give the solution set in parametric form. (a) { x1 + 3x 2 + + x 4 + 6x 5 = 2, x 3 + 2x 4 + x 5 = 1. (b) { x1 + 3x 2 + 4x 3 + 2x 4 + 3x 5 = 0, x 2 + x 3 + 2x 4 + 2x 5 = 1.

3. (6 pts) For each matrix equality, give the elementary coefficient matrix that enables to go from the right to the left. You can either multiply by the elementary matrix on the left or on the right but not on both sides. (a) ( L 2 L 2 3L 1 ) and ( L 3 L 3 6L 1 ) 1 3 8 5 0 7 15 14 0 17 47 30 = 1 3 8 5 3 2 9 1 6 1 1 0 (b) ( C 2 C 2 5C 1 ) and ( C 3 C 4 ) 1 0 7 8 3 13 9 1 8 31 0 0 4 17 8 5 = 1 5 7 8 3 2 9 1 8 9 0 0 4 3 8 5

4. (10 pts) Give the set of solution for the two 2x2 linear systems of equations below using three different ways. 1) Using row echelon form. (Reduced or not.) 2) Using the formula for the inverse of a 2 by 2 matrix, find the inverse of A. Then use the inverse of A to solve the system Ax = b. 3) Using Cramer s Rule. Please be clear. If a technique does not work, say it. { 5x + 6y = 12 (a) 3x + 4y = 6 (b) { x + 2y = 2 2x + 4y = 4

5. (10 pts) Give the set of solutions. (a) { x + 2y = 1 x + ky = 1 (b) { 2x + y = 1 8x + 4y = k

6. (5 pts) Find the equation of the line which goes by the points (1,2) and (3,-1).

7. (8 pts) Find the cartesian equation for the circle determined by the three points: (-1,5), (5,-3) and (6,4). What are the center and the radius of this circle?

8. (8 pts) Compute the determinant of 1 4 4 1 0 1 2 2 3 3 1 4 0 1 3 2.

9. (6 pts) Compute the inverse of 1 4 3 1 4 5 2 5 1 (6 pts) With your own words, explain why the process you have used works. (This is a discussion about elementary matrices.).

10. (6 pts) We consider the linear system Ax = b. (Matrix A is square, n-by-n.) We consider three different cases, in each case, we want to know whether it has (a) a unique solution, (b) an infinite number of solutions or (c) no solution. Justification required. Case 1: b = 0 and det(a) = 0. Case 2: b is anything, A is row equivallent to the identity matrix. Case 3: b is anything, A is not invertible (so A 1 does not exist).

11. (6 pts) Consider Ax = b where A is m-by-n, what is the size of x? what is the size of b? 12. (4 pts) Consider Ax = b where A is square (n-by-n) and invertible, how would you find x using the backslash notation?

13. (8 pts) Prove that the inverse of a diagonal matrix is a diagonal matrix.

Name: MATH 3195 :: Fall 2011 :: Exam 2 1 2 3 4 5 6 7 8 4 6 6 10 10 5 8 8 9a 9b 10 11 12 13 6 6 6 6 4 8