University of Ottawa

Size: px
Start display at page:

Download "University of Ottawa"

Transcription

1 University of Ottawa Department of Mathematics and Statistics MAT 30B: Mathematical Methods II Instructor: Alistair Savage Second Midterm Test Solutions White Version 3 March 0 Surname First Name Student # DGD ( 4) Instructions: (a) You have 80 minutes to complete this exam. (b) The number of points available for each question is indicated in square brackets. (c) Unless otherwise indicated, you must justify your answers to receive full marks. (d) All work to be considered for grading should be written in the space provided. The reverse side of pages is for scrap work. If you find that you need extra space in order to answer a particular question, you should continue on the reverse side of the page and indicate this clearly. Otherwise, the work written on the reverse side of pages will not be considered for marks. (e) Write your student number at the top of each page in the space provided. (f) No notes, books, scrap paper, calculators or other electronic devices are allowed. (g) You should write in pen, not pencil. (h) You may use the last page of the exam as scrap paper. Good luck! Please do not write in the table below. Question Total Maximum Grade

2 MAT 30B Second Midterm Test White Version Question. [5 pts] (a) Calculate the determinant of the following matrix: A = It is easiest to expand along the third column: = ( 3) Expanding the first 3 3 matrix along the first row: = ( ) ( ) = ( )(7 3) + ( )(7 5) = 0 Expanding the second 3 3 matrix along the first row: = ( 6) 3 7 = (35 7) + ( 6)(7 3) = 3 Thus det A = 0 3(3) = 96. (b) Is A invertible? Justify your answer. If A is invertible, find the determinant of A. Yes, A is invertible since det A 0. det A = det A = 96. Page of 9

3 MAT 30B Second Midterm Test White Version Question. [5 pts] (a) If possible, find the inverse of the matrix A below. A = R +R R R + R R + R R 3 +R 6R 3 +R R +R Thus, the matrix A is invertible and its inverse is 3 3 A = (b) Suppose b R 3. How many solutions does the equation A x = b have? Justify your answer. by x = A b. Since A is invertible, the equation A x = b has a unique solution given Page 3 of 9

4 MAT 30B Second Midterm Test White Version Question 3. [6 pts] The two parts of this question are independent of one another. (a) Suppose A = , B = and C is a 3 3 matrix such that A B(C T ) A B = Find det C. Hint: Use the properties of determinants. Using the fact that A and B are triangular, we easily compute that ( ) ( ) ( ) 3 det A = ( ) () = 3, det B = (6) =. 3 Using the given equation, we see that: det(a B(C T ) A B ) = ( )( ) = = det A det B det(c T ) det A det B = = det A det B det C (det A) (det B) = = det C (det A) det B = = det C = det B det A = det C = det A det B = 3 ( ) = 3 Page 4 of 9

5 MAT 30B Second Midterm Test White Version (b) Suppose A and B are 4 4 invertible matrices. Find a matrix X satisfying the matrix equation A ( I + B(3X + I) T ) A = I + A. Simplify your answer as much as possible. A ( I + B(3X + I) T ) A = I + A = I + B(3X + I) T = A(I + A)A = I + A = B(3X + I) T = I + A = B(3X + I) T = (I + A) = (3X + I) T = B (I + A) = 3X + I = (B (I + A)) T = (I + A)T (B ) T = = 3X = ( ) I + A T (B ) T I = X = ( ) I + A T (B ) T 6 3 I ( I + A T ) (B ) T Page 5 of 9

6 MAT 30B Second Midterm Test White Version Question 4. [3 pts] For each of the following subsets, state whether or not it is a subspace of R n for the given n. Justify your answers. (a) H = a /a a, b R and a 0, n = 3. b No, H is not a subspace of R 3 since it does not contain the zero vector. a (b) W = b a + b a, b R, n = 4. 0 a 0 Note that b a + b = a 0 + b. Thus W = Span 0,. 0 0 Since all spans are subspaces, this implies that W is a subspace of R 4. (c) V = x y x, y R, n = 3. xy because ( )( ). No, V is not a subspace of R 3 since, for instance, v = V but ( ) v = V, Page 6 of 9

7 MAT 30B Second Midterm Test White Version Question 5. [5 pts] Consider the matrix 0 0 A = (a) Find a basis for Nul A. To solve the homogeneous system A x = 0, we row reduce the corresponding augmented matrix: R +R 3 R +R 4 Switching to equation notation gives R R x = 3x 3 + 4x 5 x = x 3 x 5 x 3 free x 4 = x 5 x 5 free Therefore the null space is x 3x 3 + 4x x x 3 x 4 = x 3 x 5 x 3 x 5 = x x 5 0, x 3, x 5 R. x 5 0 x 5 So a basis of Nul A is 3 4 0, 0. 0 (b) Find a basis for Col A. What is the rank of A? Here A is the same matrix as in the previous part of this question. Page 7 of 9

8 MAT 30B Second Midterm Test White Version By the row reduction above, the pivot columns of A are columns, and 4. Thus, a basis of Col A is 0 0 0, 0, Therefore, rank A = 3. Page 8 of 9

9 MAT 30B Second Midterm Test White Version Question 6. [4 pts] Consider an economy divided into sectors: Services and Transportation. In order to produce one unit of output, Services must consume 0.6 units from its own sector and 0. units from Transportation. On the other hand, to produce one unit of output, Transportation must consume 0. units from its own sector and 0.3 units from Services. (a) Give the consumption matrix C for this economy. If Services is the first sector and Transportation is the second, then [ ].6.3 C =... If Transportation is the first sector and Services is the second sector, then [ ].. C =.3.6 (b) Find the intermediate demand if Services wants to produce 5 units and Transportation wants to produce 0 units. The intermediate demand is [ ] [ ] [ ] =... 5 Thus the intermediate demand is 5 units from Services and 5 units from Transportation. (c) Determine the production levels needed to meet a final demand of 4 units from Services and units from Transportation. We have I C = We need to solve the Leontief equation [ ] 4 (I C) x =. [.4 ].3..9 = (I C) =.3 [ ].9.3 = Therefore [ ] 3 [ ] [ ] 4 x = (I C) = = and so Services needs to produce 84 units and Transportation needs to produce 3 units. Alternate method: Row reduce the augmented matrix [ I C d ].. Page 9 of 9

University of Ottawa

University of Ottawa University of Ottawa Department of Mathematics and Statistics MAT 0A: Mathematical Methods II Instructor: Hadi Salmasian Final Exam Solutions April 08 Surname First Name Student # Seat # Instructions:

More information

University of Ottawa

University of Ottawa University of Ottawa Department of Mathematics and Statistics MAT 1302A: Mathematical Methods II Instructor: Hadi Salmasian Final Exam April 2016 Surname First Name Seat # Instructions: (a) You have 3

More information

University of Ottawa

University of Ottawa University of Ottawa Department of Mathematics and Statistics MAT 1302B : Mathematical Methods II Professor: Hadi Salmasian First Midterm Exam Version A February 3, 2017 Surname First Name Student # DGD

More information

University of Ottawa

University of Ottawa University of Ottawa Department of Mathematics and Statistics MAT B: Mathematical Methods II Instructor: Hadi Salmasian Final Exam Solutions April 7 Surname First Name Student # Seat # Instructions: (a)

More information

Math 22 Fall 2018 Midterm 2

Math 22 Fall 2018 Midterm 2 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

More information

MATH 1553, SPRING 2018 SAMPLE MIDTERM 2 (VERSION B), 1.7 THROUGH 2.9

MATH 1553, SPRING 2018 SAMPLE MIDTERM 2 (VERSION B), 1.7 THROUGH 2.9 MATH 155, SPRING 218 SAMPLE MIDTERM 2 (VERSION B), 1.7 THROUGH 2.9 Name Section 1 2 4 5 Total Please read all instructions carefully before beginning. Each problem is worth 1 points. The maximum score

More information

Math 2114 Common Final Exam May 13, 2015 Form A

Math 2114 Common Final Exam May 13, 2015 Form A Math 4 Common Final Exam May 3, 5 Form A Instructions: Using a # pencil only, write your name and your instructor s name in the blanks provided. Write your student ID number and your CRN in the blanks

More information

MATH 1553, JANKOWSKI MIDTERM 2, SPRING 2018, LECTURE A

MATH 1553, JANKOWSKI MIDTERM 2, SPRING 2018, LECTURE A MATH 553, JANKOWSKI MIDTERM 2, SPRING 28, LECTURE A Name GT Email @gatech.edu Write your section number here: Please read all instructions carefully before beginning. Please leave your GT ID card on your

More information

MAT 1341A Final Exam, 2011

MAT 1341A Final Exam, 2011 MAT 1341A Final Exam, 2011 16-December, 2011. Instructor - Barry Jessup 1 Family Name: First Name: Student number: Some Advice Take 5 minutes to read the entire paper before you begin to write, and read

More information

MAT 1302B Mathematical Methods II

MAT 1302B Mathematical Methods II MAT 1302B Mathematical Methods II Alistair Savage Mathematics and Statistics University of Ottawa Winter 2015 Lecture 6 These are partial slides for following along in class. Full versions of these slides

More information

2018 Fall 2210Q Section 013 Midterm Exam II Solution

2018 Fall 2210Q Section 013 Midterm Exam II Solution 08 Fall 0Q Section 0 Midterm Exam II Solution True or False questions points 0 0 points) ) Let A be an n n matrix. If the equation Ax b has at least one solution for each b R n, then the solution is unique

More information

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

Chapter 3. Directions: For questions 1-11 mark each statement True or False. Justify each answer. Chapter 3 Directions: For questions 1-11 mark each statement True or False. Justify each answer. 1. (True False) Asking whether the linear system corresponding to an augmented matrix [ a 1 a 2 a 3 b ]

More information

Math 415 Exam I. Name: Student ID: Calculators, books and notes are not allowed!

Math 415 Exam I. Name: Student ID: Calculators, books and notes are not allowed! Math 415 Exam I Calculators, books and notes are not allowed! Name: Student ID: Score: Math 415 Exam I (20pts) 1. Let A be a square matrix satisfying A 2 = 2A. Find the determinant of A. Sol. From A 2

More information

Math 313 (Linear Algebra) Exam 2 - Practice Exam

Math 313 (Linear Algebra) Exam 2 - Practice Exam Name: Student ID: Section: Instructor: Math 313 (Linear Algebra) Exam 2 - Practice Exam Instructions: For questions which require a written answer, show all your work. Full credit will be given only if

More information

MAT 1302B Mathematical Methods II

MAT 1302B Mathematical Methods II MAT 1302B Mathematical Methods II Alistair Savage Mathematics and Statistics University of Ottawa Winter 2015 Lecture 6 Alistair Savage (uottawa) MAT 1302B Mathematical Methods II Winter 2015 Lecture 6

More information

PRACTICE PROBLEMS FOR THE FINAL

PRACTICE PROBLEMS FOR THE FINAL PRACTICE PROBLEMS FOR THE FINAL Here are a slew of practice problems for the final culled from old exams:. Let P be the vector space of polynomials of degree at most. Let B = {, (t ), t + t }. (a) Show

More information

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

1. Determine by inspection which of the following sets of vectors is linearly independent. 3 3. 1. Determine by inspection which of the following sets of vectors is linearly independent. (a) (d) 1, 3 4, 1 { [ [,, 1 1] 3]} (b) 1, 4 5, (c) 3 6 (e) 1, 3, 4 4 3 1 4 Solution. The answer is (a): v 1 is

More information

MATH 1553 PRACTICE FINAL EXAMINATION

MATH 1553 PRACTICE FINAL EXAMINATION MATH 553 PRACTICE FINAL EXAMINATION Name Section 2 3 4 5 6 7 8 9 0 Total Please read all instructions carefully before beginning. The final exam is cumulative, covering all sections and topics on the master

More information

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

MATH 152 Exam 1-Solutions 135 pts. Write your answers on separate paper. You do not need to copy the questions. Show your work!!! MATH Exam -Solutions pts Write your answers on separate paper. You do not need to copy the questions. Show your work!!!. ( pts) Find the reduced row echelon form of the matrix Solution : 4 4 6 4 4 R R

More information

FINAL EXAM Ma (Eakin) Fall 2015 December 16, 2015

FINAL EXAM Ma (Eakin) Fall 2015 December 16, 2015 FINAL EXAM Ma-00 Eakin Fall 05 December 6, 05 Please make sure that your name and GUID are on every page. This exam is designed to be done with pencil-and-paper calculations. You may use your calculator

More information

Math 265 Midterm 2 Review

Math 265 Midterm 2 Review Math 65 Midterm Review March 6, 06 Things you should be able to do This list is not meant to be ehaustive, but to remind you of things I may ask you to do on the eam. These are roughly in the order they

More information

Chapter 2: Matrix Algebra

Chapter 2: Matrix Algebra Chapter 2: Matrix Algebra (Last Updated: October 12, 2016) These notes are derived primarily from Linear Algebra and its applications by David Lay (4ed). Write A = 1. Matrix operations [a 1 a n. Then entry

More information

1 Last time: determinants

1 Last time: determinants 1 Last time: determinants Let n be a positive integer If A is an n n matrix, then its determinant is the number det A = Π(X, A)( 1) inv(x) X S n where S n is the set of n n permutation matrices Π(X, A)

More information

MA 265 FINAL EXAM Fall 2012

MA 265 FINAL EXAM Fall 2012 MA 265 FINAL EXAM Fall 22 NAME: INSTRUCTOR S NAME:. There are a total of 25 problems. You should show work on the exam sheet, and pencil in the correct answer on the scantron. 2. No books, notes, or calculators

More information

MATH 2360 REVIEW PROBLEMS

MATH 2360 REVIEW PROBLEMS MATH 2360 REVIEW PROBLEMS Problem 1: In (a) (d) below, either compute the matrix product or indicate why it does not exist: ( )( ) 1 2 2 1 (a) 0 1 1 2 ( ) 0 1 2 (b) 0 3 1 4 3 4 5 2 5 (c) 0 3 ) 1 4 ( 1

More information

MATH 1553, C. JANKOWSKI MIDTERM 3

MATH 1553, C. JANKOWSKI MIDTERM 3 MATH 1553, C JANKOWSKI MIDTERM 3 Name GT Email @gatechedu Write your section number (E6-E9) here: Please read all instructions carefully before beginning Please leave your GT ID card on your desk until

More information

(i) [7 points] Compute the determinant of the following matrix using cofactor expansion.

(i) [7 points] Compute the determinant of the following matrix using cofactor expansion. Question (i) 7 points] Compute the determinant of the following matrix using cofactor expansion 2 4 2 4 2 Solution: Expand down the second column, since it has the most zeros We get 2 4 determinant = +det

More information

Math 54. Selected Solutions for Week 5

Math 54. Selected Solutions for Week 5 Math 54. Selected Solutions for Week 5 Section 4. (Page 94) 8. Consider the following two systems of equations: 5x + x 3x 3 = 5x + x 3x 3 = 9x + x + 5x 3 = 4x + x 6x 3 = 9 9x + x + 5x 3 = 5 4x + x 6x 3

More information

Math 308 Practice Final Exam Page and vector y =

Math 308 Practice Final Exam Page and vector y = Math 308 Practice Final Exam Page Problem : Solving a linear equation 2 0 2 5 Given matrix A = 3 7 0 0 and vector y = 8. 4 0 0 9 (a) Solve Ax = y (if the equation is consistent) and write the general solution

More information

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

MATH 2331 Linear Algebra. Section 2.1 Matrix Operations. Definition: A : m n, B : n p. Example: Compute AB, if possible. MATH 2331 Linear Algebra Section 2.1 Matrix Operations Definition: A : m n, B : n p ( 1 2 p ) ( 1 2 p ) AB = A b b b = Ab Ab Ab Example: Compute AB, if possible. 1 Row-column rule: i-j-th entry of AB:

More information

APPM 2360 Exam 2 Solutions Wednesday, March 9, 2016, 7:00pm 8:30pm

APPM 2360 Exam 2 Solutions Wednesday, March 9, 2016, 7:00pm 8:30pm APPM 2360 Exam 2 Solutions Wednesday, March 9, 206, 7:00pm 8:30pm ON THE FRONT OF YOUR BLUEBOOK write: () your name, (2) your student ID number, (3) recitation section (4) your instructor s name, and (5)

More information

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

Math 18, Linear Algebra, Lecture C00, Spring 2017 Review and Practice Problems for Final Exam Math 8, Linear Algebra, Lecture C, Spring 7 Review and Practice Problems for Final Exam. The augmentedmatrix of a linear system has been transformed by row operations into 5 4 8. Determine if the system

More information

Math 54 HW 4 solutions

Math 54 HW 4 solutions Math 54 HW 4 solutions 2.2. Section 2.2 (a) False: Recall that performing a series of elementary row operations A is equivalent to multiplying A by a series of elementary matrices. Suppose that E,...,

More information

Linear Algebra Final Exam Study Guide Solutions Fall 2012

Linear Algebra Final Exam Study Guide Solutions Fall 2012 . Let A = Given that v = 7 7 67 5 75 78 Linear Algebra Final Exam Study Guide Solutions Fall 5 explain why it is not possible to diagonalize A. is an eigenvector for A and λ = is an eigenvalue for A diagonalize

More information

Choose three of: Choose three of: Choose three of:

Choose three of: Choose three of: Choose three of: MATH Final Exam (Version ) Solutions July 8, 8 S. F. Ellermeyer Name Instructions. Remember to include all important details of your work. You will not get full credit (or perhaps even any partial credit)

More information

Kevin James. MTHSC 3110 Section 4.3 Linear Independence in Vector Sp

Kevin James. MTHSC 3110 Section 4.3 Linear Independence in Vector Sp MTHSC 3 Section 4.3 Linear Independence in Vector Spaces; Bases Definition Let V be a vector space and let { v. v 2,..., v p } V. If the only solution to the equation x v + x 2 v 2 + + x p v p = is the

More information

MATH 1553, FALL 2018 SAMPLE MIDTERM 2: 3.5 THROUGH 4.4

MATH 1553, FALL 2018 SAMPLE MIDTERM 2: 3.5 THROUGH 4.4 MATH 553, FALL 28 SAMPLE MIDTERM 2: 3.5 THROUGH 4.4 Name GT Email @gatech.edu Write your section number here: Please read all instructions carefully before beginning. The maximum score on this exam is

More information

(a) only (ii) and (iv) (b) only (ii) and (iii) (c) only (i) and (ii) (d) only (iv) (e) only (i) and (iii)

(a) only (ii) and (iv) (b) only (ii) and (iii) (c) only (i) and (ii) (d) only (iv) (e) only (i) and (iii) . Which of the following are Vector Spaces? (i) V = { polynomials of the form q(t) = t 3 + at 2 + bt + c : a b c are real numbers} (ii) V = {at { 2 + b : a b are real numbers} } a (iii) V = : a 0 b is

More information

MATH10212 Linear Algebra B Homework 6. Be prepared to answer the following oral questions if asked in the supervision class:

MATH10212 Linear Algebra B Homework 6. Be prepared to answer the following oral questions if asked in the supervision class: MATH0 Linear Algebra B Homework 6 Students are strongly advised to acquire a copy of the Textbook: D C Lay, Linear Algebra its Applications Pearson, 006 (or other editions) Normally, homework assignments

More information

MATH 1553-C MIDTERM EXAMINATION 3

MATH 1553-C MIDTERM EXAMINATION 3 MATH 553-C MIDTERM EXAMINATION 3 Name GT Email @gatech.edu Please read all instructions carefully before beginning. Please leave your GT ID card on your desk until your TA scans your exam. Each problem

More information

Mid-term Exam #2 MATH 205, Fall 2014

Mid-term Exam #2 MATH 205, Fall 2014 Mid-term Exam # MATH 05, Fall 04 Name: Instructions: Please answer as many of the following questions as possible Show all of your work and give complete explanations when requested Write your final answer

More information

MA 262, Spring 2018, Midterm 1 Version 01 (Green)

MA 262, Spring 2018, Midterm 1 Version 01 (Green) MA 262, Spring 2018, Midterm 1 Version 01 (Green) INSTRUCTIONS 1. Switch off your phone upon entering the exam room. 2. Do not open the exam booklet until you are instructed to do so. 3. Before you open

More information

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER RECITATION INSTRUCTOR:

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER RECITATION INSTRUCTOR: MA262 EXAM I SPRING 2016 FEBRUARY 25, 2016 TEST NUMBER 01 INSTRUCTIONS: 1. Do not open the exam booklet until you are instructed to do so. 2. Before you open the booklet fill in the information below and

More information

Mid-term Exam #1 MATH 205, Fall 2014

Mid-term Exam #1 MATH 205, Fall 2014 Mid-term Exam # MATH, Fall Name: Instructions: Please answer as many of the following questions as possible. Show all of your work and give complete explanations when requested. Write your final answer

More information

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.

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. MTH 309-001 Fall 2016 Exam 1 10/05/16 Name (Print): PID: READ CAREFULLY THE FOLLOWING INSTRUCTION Do not open your exam until told to do so. This exam contains 7 pages (including this cover page) and 7

More information

Advanced Linear Algebra Math 4377 / 6308 (Spring 2015) March 5, 2015

Advanced Linear Algebra Math 4377 / 6308 (Spring 2015) March 5, 2015 Midterm 1 Advanced Linear Algebra Math 4377 / 638 (Spring 215) March 5, 215 2 points 1. Mark each statement True or False. Justify each answer. (If true, cite appropriate facts or theorems. If false, explain

More information

1. Let A = (a) 2 (b) 3 (c) 0 (d) 4 (e) 1

1. Let A = (a) 2 (b) 3 (c) 0 (d) 4 (e) 1 . Let A =. The rank of A is (a) (b) (c) (d) (e). Let P = {a +a t+a t } where {a,a,a } range over all real numbers, and let T : P P be a linear transformation dedifined by T (a + a t + a t )=a +9a t If

More information

Assignment 1 Math 5341 Linear Algebra Review. Give complete answers to each of the following questions. Show all of your work.

Assignment 1 Math 5341 Linear Algebra Review. Give complete answers to each of the following questions. Show all of your work. Assignment 1 Math 5341 Linear Algebra Review Give complete answers to each of the following questions Show all of your work Note: You might struggle with some of these questions, either because it has

More information

MAT 1302B Mathematical Methods II

MAT 1302B Mathematical Methods II MAT 1302B Mathematical Methods II Alistair Savage Mathematics and Statistics University of Ottawa Winter 2015 Lecture 19 Alistair Savage (uottawa) MAT 1302B Mathematical Methods II Winter 2015 Lecture

More information

ft-uiowa-math2550 Assignment OptionalFinalExamReviewMultChoiceMEDIUMlengthForm due 12/31/2014 at 10:36pm CST

ft-uiowa-math2550 Assignment OptionalFinalExamReviewMultChoiceMEDIUMlengthForm due 12/31/2014 at 10:36pm CST me me ft-uiowa-math255 Assignment OptionalFinalExamReviewMultChoiceMEDIUMlengthForm due 2/3/2 at :3pm CST. ( pt) Library/TCNJ/TCNJ LinearSystems/problem3.pg Give a geometric description of the following

More information

I. Multiple Choice Questions (Answer any eight)

I. Multiple Choice Questions (Answer any eight) Name of the student : Roll No : CS65: Linear Algebra and Random Processes Exam - Course Instructor : Prashanth L.A. Date : Sep-24, 27 Duration : 5 minutes INSTRUCTIONS: The test will be evaluated ONLY

More information

Math 323 Exam 2 Sample Problems Solution Guide October 31, 2013

Math 323 Exam 2 Sample Problems Solution Guide October 31, 2013 Math Exam Sample Problems Solution Guide October, Note that the following provides a guide to the solutions on the sample problems, but in some cases the complete solution would require more work or justification

More information

Reduction to the associated homogeneous system via a particular solution

Reduction to the associated homogeneous system via a particular solution June PURDUE UNIVERSITY Study Guide for the Credit Exam in (MA 5) Linear Algebra This study guide describes briefly the course materials to be covered in MA 5. In order to be qualified for the credit, one

More information

Study Guide for Linear Algebra Exam 2

Study Guide for Linear Algebra Exam 2 Study Guide for Linear Algebra Exam 2 Term Vector Space Definition A Vector Space is a nonempty set V of objects, on which are defined two operations, called addition and multiplication by scalars (real

More information

MATH 33A LECTURE 3 PRACTICE MIDTERM I

MATH 33A LECTURE 3 PRACTICE MIDTERM I MATH A LECTURE PRACTICE MIDTERM I Please note: Show your work Correct answers not accompanied by sufficent explanations will receive little or no credit (except on multiple-choice problems) Please call

More information

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

Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00) Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00) Name: SID: Please write clearly and legibly. Justify your answers. Partial credits may be given to Problems 2, 3, 4, and 5. The last sheet

More information

Section 4.5. Matrix Inverses

Section 4.5. Matrix Inverses Section 4.5 Matrix Inverses The Definition of Inverse Recall: The multiplicative inverse (or reciprocal) of a nonzero number a is the number b such that ab = 1. We define the inverse of a matrix in almost

More information

Problem 1: Solving a linear equation

Problem 1: Solving a linear equation Math 38 Practice Final Exam ANSWERS Page Problem : Solving a linear equation Given matrix A = 2 2 3 7 4 and vector y = 5 8 9. (a) Solve Ax = y (if the equation is consistent) and write the general solution

More information

Final Examination 201-NYC-05 December and b =

Final Examination 201-NYC-05 December and b = . (5 points) Given A [ 6 5 8 [ and b (a) Express the general solution of Ax b in parametric vector form. (b) Given that is a particular solution to Ax d, express the general solution to Ax d in parametric

More information

Dimension. Eigenvalue and eigenvector

Dimension. Eigenvalue and eigenvector Dimension. Eigenvalue and eigenvector Math 112, week 9 Goals: Bases, dimension, rank-nullity theorem. Eigenvalue and eigenvector. Suggested Textbook Readings: Sections 4.5, 4.6, 5.1, 5.2 Week 9: Dimension,

More information

MATH 2210Q MIDTERM EXAM I PRACTICE PROBLEMS

MATH 2210Q MIDTERM EXAM I PRACTICE PROBLEMS MATH Q MIDTERM EXAM I PRACTICE PROBLEMS Date and place: Thursday, November, 8, in-class exam Section : : :5pm at MONT Section : 9: :5pm at MONT 5 Material: Sections,, 7 Lecture 9 8, Quiz, Worksheet 9 8,

More information

Summer Session Practice Final Exam

Summer Session Practice Final Exam Math 2F Summer Session 25 Practice Final Exam Time Limit: Hours Name (Print): Teaching Assistant This exam contains pages (including this cover page) and 9 problems. Check to see if any pages are missing.

More information

Practice Final Exam. Solutions.

Practice Final Exam. Solutions. MATH Applied Linear Algebra December 6, 8 Practice Final Exam Solutions Find the standard matrix f the linear transfmation T : R R such that T, T, T Solution: Easy to see that the transfmation T can be

More information

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

Math 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix Math 34H EXAM I Do all of the problems below. Point values for each of the problems are adjacent to the problem number. Calculators may be used to check your answer but not to arrive at your answer. That

More information

5.) For each of the given sets of vectors, determine whether or not the set spans R 3. Give reasons for your answers.

5.) For each of the given sets of vectors, determine whether or not the set spans R 3. Give reasons for your answers. Linear Algebra - Test File - Spring Test # For problems - consider the following system of equations. x + y - z = x + y + 4z = x + y + 6z =.) Solve the system without using your calculator..) Find the

More information

Test 3, Linear Algebra

Test 3, Linear Algebra Test 3, Linear Algebra Dr. Adam Graham-Squire, Fall 2017 Name: I pledge that I have neither given nor received any unauthorized assistance on this exam. (signature) DIRECTIONS 1. Don t panic. 2. Show all

More information

Problem # Max points possible Actual score Total 120

Problem # Max points possible Actual score Total 120 FINAL EXAMINATION - MATH 2121, FALL 2017. Name: ID#: Email: Lecture & Tutorial: Problem # Max points possible Actual score 1 15 2 15 3 10 4 15 5 15 6 15 7 10 8 10 9 15 Total 120 You have 180 minutes to

More information

Math 3191 Applied Linear Algebra

Math 3191 Applied Linear Algebra Math 191 Applied Linear Algebra Lecture 16: Change of Basis Stephen Billups University of Colorado at Denver Math 191Applied Linear Algebra p.1/0 Rank The rank of A is the dimension of the column space

More information

MA 262, Fall 2017, Final Version 01(Green)

MA 262, Fall 2017, Final Version 01(Green) INSTRUCTIONS MA 262, Fall 2017, Final Version 01(Green) (1) Switch off your phone upon entering the exam room. (2) Do not open the exam booklet until you are instructed to do so. (3) Before you open the

More information

Practice Midterm 1 Solutions, MATH 54, Linear Algebra and Differential Equations, Fall 2014

Practice Midterm 1 Solutions, MATH 54, Linear Algebra and Differential Equations, Fall 2014 Practice Midterm Solutions, MATH 54, Linear Algebra and Differential Equations, Fall 4 Student ID: Circle your section: Shin 8am 7 Evans Lim pm 35 Etcheverry Cho 8am 75 Evans 3 Tanzer pm 35 Evans 3 Shin

More information

EK102 Linear Algebra PRACTICE PROBLEMS for Final Exam Spring 2016

EK102 Linear Algebra PRACTICE PROBLEMS for Final Exam Spring 2016 EK102 Linear Algebra PRACTICE PROBLEMS for Final Exam Spring 2016 Answer the questions in the spaces provided on the question sheets. You must show your work to get credit for your answers. There will

More information

Check that your exam contains 20 multiple-choice questions, numbered sequentially.

Check that your exam contains 20 multiple-choice questions, numbered sequentially. MATH 22 MAKEUP EXAMINATION Fall 26 VERSION A NAME STUDENT NUMBER INSTRUCTOR SECTION NUMBER On your scantron, write and bubble your PSU ID, Section Number, and Test Version. Failure to correctly code these

More information

(b) If a multiple of one row of A is added to another row to produce B then det(b) =det(a).

(b) If a multiple of one row of A is added to another row to produce B then det(b) =det(a). .(5pts) Let B = 5 5. Compute det(b). (a) (b) (c) 6 (d) (e) 6.(5pts) Determine which statement is not always true for n n matrices A and B. (a) If two rows of A are interchanged to produce B, then det(b)

More information

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER RECITATION INSTRUCTOR:

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER RECITATION INSTRUCTOR: MA262 FINAL EXAM SPRING 2016 MAY 2, 2016 TEST NUMBER 01 INSTRUCTIONS: 1. Do not open the exam booklet until you are instructed to do so. 2. Before you open the booklet fill in the information below and

More information

Review Notes for Midterm #2

Review Notes for Midterm #2 Review Notes for Midterm #2 Joris Vankerschaver This version: Nov. 2, 200 Abstract This is a summary of the basic definitions and results that we discussed during class. Whenever a proof is provided, I

More information

MATH 1553, C.J. JANKOWSKI MIDTERM 1

MATH 1553, C.J. JANKOWSKI MIDTERM 1 MATH 155, C.J. JANKOWSKI MIDTERM 1 Name Section Please read all instructions carefully before beginning. You have 5 minutes to complete this exam. There are no aids of any kind (calculators, notes, text,

More information

Last name: First name: Signature: Student number:

Last name: First name: Signature: Student number: MAT 2141 The final exam Instructor: K. Zaynullin Last name: First name: Signature: Student number: Do not detach the pages of this examination. You may use the back of the pages as scrap paper for calculations,

More information

Math 308 Final, Autumn 2017

Math 308 Final, Autumn 2017 Math 308 Final, Autumn 2017 Name: ID#: Signature: All work on this exam is my own. Instructions. You are allowed a calculator and notesheet (handwritten, two-sided). Hand in your notesheet with your exam.

More information

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

80 min. 65 points in total. The raw score will be normalized according to the course policy to count into the final score. This is a closed book, closed notes exam You need to justify every one of your answers unless you are asked not to do so Completely correct answers given without justification will receive little credit

More information

Spring 2015 Midterm 1 03/04/15 Lecturer: Jesse Gell-Redman

Spring 2015 Midterm 1 03/04/15 Lecturer: Jesse Gell-Redman Math 0 Spring 05 Midterm 03/04/5 Lecturer: Jesse Gell-Redman Time Limit: 50 minutes Name (Print): Teaching Assistant This exam contains pages (including this cover page) and 5 problems. Check to see if

More information

Math 20F Final Exam(ver. c)

Math 20F Final Exam(ver. c) Name: Solutions Student ID No.: Discussion Section: Math F Final Exam(ver. c) Winter 6 Problem Score /48 /6 /7 4 /4 5 /4 6 /4 7 /7 otal / . (48 Points.) he following are rue/false questions. For this problem

More information

Midterm 1 Solutions, MATH 54, Linear Algebra and Differential Equations, Fall Problem Maximum Score Your Score

Midterm 1 Solutions, MATH 54, Linear Algebra and Differential Equations, Fall Problem Maximum Score Your Score Midterm Solutions, MATH 54, Linear Algebra and Differential Equations, Fall 24 Student ID: Circle your section: 2 Shin 8am 7 Evans 22 Lim pm 35 Etcheverry 22 Cho 8am 75 Evans 23 Tanzer 2pm 35 Evans 23

More information

Shorts

Shorts Math 45 - Midterm Thursday, October 3, 4 Circle your section: Philipp Hieronymi pm 3pm Armin Straub 9am am Name: NetID: UIN: Problem. [ point] Write down the number of your discussion section (for instance,

More information

MATH 1120 (LINEAR ALGEBRA 1), FINAL EXAM FALL 2011 SOLUTIONS TO PRACTICE VERSION

MATH 1120 (LINEAR ALGEBRA 1), FINAL EXAM FALL 2011 SOLUTIONS TO PRACTICE VERSION MATH (LINEAR ALGEBRA ) FINAL EXAM FALL SOLUTIONS TO PRACTICE VERSION Problem (a) For each matrix below (i) find a basis for its column space (ii) find a basis for its row space (iii) determine whether

More information

Review Notes for Linear Algebra True or False Last Updated: February 22, 2010

Review Notes for Linear Algebra True or False Last Updated: February 22, 2010 Review Notes for Linear Algebra True or False Last Updated: February 22, 2010 Chapter 4 [ Vector Spaces 4.1 If {v 1,v 2,,v n } and {w 1,w 2,,w n } are linearly independent, then {v 1 +w 1,v 2 +w 2,,v n

More information

Math 369 Exam #2 Practice Problem Solutions

Math 369 Exam #2 Practice Problem Solutions Math 369 Exam #2 Practice Problem Solutions 2 5. Is { 2, 3, 8 } a basis for R 3? Answer: No, it is not. To show that it is not a basis, it suffices to show that this is not a linearly independent set.

More information

Final EXAM Preparation Sheet

Final EXAM Preparation Sheet Final EXAM Preparation Sheet M369 Fall 217 1 Key concepts The following list contains the main concepts and ideas that we have explored this semester. For each concept, make sure that you remember about

More information

Linear Algebra Math 221

Linear Algebra Math 221 Linear Algebra Math 221 Open Book Exam 1 Open Notes 3 Sept, 24 Calculators Permitted Show all work (except #4) 1 2 3 4 2 1. (25 pts) Given A 1 2 1, b 2 and c 4. 1 a) (7 pts) Bring matrix A to echelon form.

More information

Math Final December 2006 C. Robinson

Math Final December 2006 C. Robinson Math 285-1 Final December 2006 C. Robinson 2 5 8 5 1 2 0-1 0 1. (21 Points) The matrix A = 1 2 2 3 1 8 3 2 6 has the reduced echelon form U = 0 0 1 2 0 0 0 0 0 1. 2 6 1 0 0 0 0 0 a. Find a basis for the

More information

MATH 310, REVIEW SHEET 2

MATH 310, REVIEW SHEET 2 MATH 310, REVIEW SHEET 2 These notes are a very short summary of the key topics in the book (and follow the book pretty closely). You should be familiar with everything on here, but it s not comprehensive,

More information

MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~

MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~ MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~ Question No: 1 (Marks: 1) If for a linear transformation the equation T(x) =0 has only the trivial solution then T is One-to-one Onto Question

More information

Question Total Score

Question Total Score Math - Winter - Midterm Exam I Name: Student ID: Circle your section: Nick Haber James Zhao Henry Adams : AM : AM : AM : PM : PM : PM Ralph Furmaniak Jeremy Miller Ha Pham : AM : AM : AM : PM : PM : PM

More information

MATH 1553 SAMPLE FINAL EXAM, SPRING 2018

MATH 1553 SAMPLE FINAL EXAM, SPRING 2018 MATH 1553 SAMPLE FINAL EXAM, SPRING 2018 Name Circle the name of your instructor below: Fathi Jankowski Kordek Strenner Yan Please read all instructions carefully before beginning Each problem is worth

More information

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELEC- TRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION.

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELEC- TRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION. MATH FINAL EXAM DECEMBER 8, 7 FORM A NAME STUDENT NUMBER INSTRUCTOR SECTION NUMBER This examination will be machine processed by the University Testing Service. Use only a number pencil on your answer

More information

Math 51 Midterm 1 July 6, 2016

Math 51 Midterm 1 July 6, 2016 Math 51 Midterm 1 July 6, 2016 Name: SUID#: Circle your section: Section 01 Section 02 (1:30-2:50PM) (3:00-4:20PM) Complete the following problems. In order to receive full credit, please show all of your

More information

Problem Point Value Points

Problem Point Value Points Math 70 TUFTS UNIVERSITY October 12, 2015 Linear Algebra Department of Mathematics Sections 1 and 2 Exam I Instructions: No notes or books are allowed. All calculators, cell phones, or other electronic

More information

Final Examination 201-NYC-05 - Linear Algebra I December 8 th, and b = 4. Find the value(s) of a for which the equation Ax = b

Final Examination 201-NYC-05 - Linear Algebra I December 8 th, and b = 4. Find the value(s) of a for which the equation Ax = b Final Examination -NYC-5 - Linear Algebra I December 8 th 7. (4 points) Let A = has: (a) a unique solution. a a (b) infinitely many solutions. (c) no solution. and b = 4. Find the value(s) of a for which

More information

Linear Algebra: Sample Questions for Exam 2

Linear Algebra: Sample Questions for Exam 2 Linear Algebra: Sample Questions for Exam 2 Instructions: This is not a comprehensive review: there are concepts you need to know that are not included. Be sure you study all the sections of the book and

More information

THE UNIVERSITY OF MANITOBA

THE UNIVERSITY OF MANITOBA DEPARTMENT COURSE NO: MATH 1300 EXAMINATION: Vector Geometry Linear Algebra TITLE PAGE TIME: 1 HOUR FAMILY NAME: Print in ink) GIVEN NAME: Print in ink) STUDENT NUMBER: Print in ink) SIGNATURE: Sign in

More information

Math 221 Midterm Fall 2017 Section 104 Dijana Kreso

Math 221 Midterm Fall 2017 Section 104 Dijana Kreso The University of British Columbia Midterm October 5, 017 Group B Math 1: Matrix Algebra Section 104 (Dijana Kreso) Last Name: Student Number: First Name: Section: Format: 50 min long exam. Total: 5 marks.

More information