1.1 Introduction to Linear Systems and Row Reduction

Size: px
Start display at page:

Download "1.1 Introduction to Linear Systems and Row Reduction"

Transcription

1 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION. Introduction to Linear Systems and Row Reduction MATH 9 FALL 98 PRELIM # 9FA8PQ.tex.. Solve the following systems of linear equations. If there is no solution, show why. If there are innitely many solutions, give a general expression. x A b) c) x x x MATH 9 FALL 98 FINAL # 9FA8FQ.tex.. a) Find all possible solutions ~x of B~x = ~c, where B = b) For the system ~x = ~ b, where = A A and ~c = ; determine all vectors ~ b for which the system possesses nontrivial solutions ~x. MATH 9 SPRING 98 PRELIM # 9SP8PQ.tex.. onsider the system : x + y z + w = x + z + w = x + y + z + w = x + y + z + w = a) Find all the solutions to this system. b) Find a basis for the vector space of solutions to the system above. You need not prove this is a basis. c) What is the dimension of the vector space of solutions above? d) Is the the vector x y z w = a solution to the above system?

2 MATH 9 SPRING 98 FINAL # 9SP8FQ.tex.. Find the general solution, or else show that the system has no solutions: x x + x = x + x x + x = x x = MATH 9 FALL 98 FINAL # 9FA8FQ.tex.. Find the general solution of the system x + x + x = x + x + x + x = x + x x + x = 8 and express your answer in vector form. MATH 9 FALL 98 FINAL # 9FA8FQ.tex.. a) Solve the linear system A~x = ~ b, where and ~ b = b) Solve the linear system A~x = ~, where Express your answer in vector form, and give a basis for the space of solutions. MATH 9 SPRING 98 PRELIM # 9SP8PQ.tex..* Find all solutions to: x + z = y + z = y 8z = 9 9 :

3 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 FALL 98 PRELIM # 9FA8PQ.tex..8 a) Determine the row-reduced form of the matrix: 8 9 : b) Find the general solution of A~u = ~, where ~u = u u u u u and ~ = MATH 9 FALL 98 MAKE-UP # 9FA8MUQ.tex..9 Use row reduction to either nd the solution or show that no solution exists for the system x x = x + x + x = x x + x = MATH 9 SPRING 989 PRELIM # 9SP89PQ.tex.. onsider the system of equations, : x + x + x = x + x x = x + x x = a) Find all solutions, if any exist, of the system. b) Is the set of vectors given by, ; linearly independent or dependent? ; and MATH 9 SUMMER 989 PRELIM # 9SU89PQ.tex.. a) Find all solutions to x + x x + x = x + x x + x = x + x x + x = using only the row reduction method.

4 MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex..* Find all the solutions. Write your answers in vector form. a) x x x = x x x = x + x + x = b) x + x + x = x x x = x + x + x = c) x + x x = x x x = x x + x = MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. onsider A~x = ~ b. Where Ais a) Solve for ~x given ~ b = A. b) Find a basis for the null space of A. c) Without carrying out explicit calculation, does a solution exist for any ~ b in V? A : MATH 9 FALL 99 PRELIM # 9FA9PQ.tex.. Solve for the x matrix X if X = : MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Here a) Find A. b) Find Xif AX = c) Find ~vif A~v =...

5 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 FALL 99 PRELIM # 9FA9PQ.tex.. Find all solutions of the system A~x = ~ b if a) ~ b =. b) ~ b = Express all answers in vector form. 9 MATH 9 FALL 99 FINAL # 9FA9FQ.tex.. a) Find the eigenvalues and eigenvectors of the matrix B = : and. Find a non singular matrix such that A = D where b) Let D is a diagonal matrix. Find and D. c) For which value of a does the system of equations x + y + z = a x + y + z = x + z = has at least one solution? Explain your answer. MATH 9 SPRING 99 FINAL # 9SP9FQ.tex..8 a) Find the general solution, and write your answer as a particular solution plus the general solution of the associated homogeneous system. x y + z = x y + z = x + y + z = b) heck your answer for part a. c) Find the inverse of the d) heck your answer for part c. A :

6 MATH 9 SPRING 99 FINAL # 9SP9FQ.tex..9 onsider the matrix a) Find the vectors b b b A : A such that a solution x of the equation A~x = ~ b exists. b) Find a basis for the column space <(A) of A. c) It is claimed that <(A) is a plane in <. If you agree, nd a vector ~n in < that is normal to this plane. heck you answer. d) Show that ~n is perpendicular to each of the columns of A. Explain carefully why this is true. MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. (True/false) The following properties hold for the matrix a) If AM = AN then M = N, where M and N are x matrices. b) A has an inverse. c) A is in reduced row echelon form. d) A is equal to the matrix B = e) A and B are row equivalent. f) A and B have the same row reduced form. g) (A T ) T = A. h) B T BA T. :.

7 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex..* If the reduced row echelon form A then the general solution of the system is = = x y + z w = x + y + z w = x y z w = A d) A, b) = A + t = = 9=8 = = =8 = = A +t A, e) A, c) A + MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex..* The reduced row echelon for of A, A, c) A @ A, A : (Note! There is one and only one correct answer.) MATH 9 FALL 99 PRATIE # 9FA9PPQ.tex.. Find the general solution in vector form for the equations x + y + z w = x + y + z + w = x y + z w = A : ; A A = = = A, A,

8 8 MATH 9 FALL 99 PRELIM # 9FA9PQ.tex.. Use Gauss-Jordan elimination to nd all solutions of in the cases that b b x + y + z = b x + y + z = b x + y + 9z = b A and b b MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Find the general solution of the wystem of equations x + x = x + x + x = x + x + x + x = x + x x + x = A MATH 9 SPRING 99 FINAL # 9SP9FQ.tex.. Find the general solution of the system of equations x + x + x = x + x + x + x = x + x x + x = 8 MATH 9 FALL 99 PRELIM # 9FA9PQ.tex..* a) Find the general solution of the wystem of equations x + x = x + x + x = x + x + x + x = x + x x + x = b) Verify your solution. MATH 9 FALL 99 FINAL # 9FA9FQ.tex..8* a) Find the general solution, in vector form, of the equation A~x = ~ b where Verify your solution. and ~ b = :

9 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION 9 MATH 9 SPRING 99 FINAL # 9SP9FQ.tex..9* onsider the system x + x + x x = x + x + x + x = x + x + x = A solution of these equations is: a) The trivial soution. b) x = 9; x = ; x = ; x = c) x = ; x = ; x = ; x = d) The system has no solution. e) None of the above. MATH 9 SPRING 99 FINAL # 9SP9FQ.tex..* onsider the system x + z = x + y + z = x y + (a a)z = a 8 The value of a for which the system has innitely many solution is: a) b) c) none d) e) none of the above. MATH 9 FALL 99 PRELIM # 9FA9PQ.tex..* Matrix algebra. Let [A] be the matrix and let ~ b = and let ~c = a) Find all solutions ~x to A~x = ~ b and check your answer by substitution. b) Find all solutions ~x to A~x = ~c and check your answer by substitution. c) Give a reason why you believe that A does or does not exist. MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Find the general solution of the linear system x = + x + x + x + x = x + x =

10 9, ~ b =, and ~x = x x MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex..* Let x a) Find the characteristic polynomial det(a I) of A, and nd all eigenvalues. (hint : 9 is one factor of the polynomial.) b) nd an eigenvector for each eigenvalue. c) Write the augmented matrix for the system of equations A~x = ~ b and solve the system by row operations. MATH 9 SPRING 99 FINAL # 9SP9FQ.tex.. Solve the following system for x ; x ; x ; x and express the general solution in parametric form. x + x x = + x + x = x x = MATH 9 FALL 99 PRELIM # 9FA9PQ.tex.. a) onsider the problem A~x = ~ b, A ; and ~ b A : Determine the general solution to this problem, in vector form. b) Find a by matrix B, which is not the zero matrix, with B =. MATH 9 FALL 99 FINAL # 9FA9FQ.tex.. Find the general solution of these equations in vector parametric form. x x = x + x = x x =.

11 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 SPRING 998 PRELIM # 9SP98PQ.tex.. a) Write the solution set of the system in parametric form. b) With x x x = x x = x + x + x = A nd all solutions to the system A! x = : ; c) True or False? i) The columns of A are linearly independent. ii) The solution set of A! x =! b is all vectors of the form! w =! p + v! h where v! h is any solution of A v! h =! and A! p =! b. MATH 9 SPRING 998 PRELIM # 9SP98PQ.tex..8* Find all solution to the following matrix equation A~x = ~ b where for each of the following values of ~ b: a) ~ b = b) ~ b = c) ~ b =

12 MATH 9 FALL 998 PRELIM # 9FA98PQ.tex..9 a) Write the following system of equations as (i) a vector equation (ii) as a matrix equation. x + x = x x + 9x = x + x x + x = b) Find all solutions to the linear system x + x x = x + x + x = x + x + x = c) Does the above (b) have a solution for any right hand side? d) Let ~u =, ~u =, ~ b = h For what value(s) of h is ~ b in the plane spanned by f~u ; ~u g? MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Let ; B = a) Find all ~x for which ~x = ~ b, where ~ b = : ; = :

13 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 FALL 998 PRELIM # 9FA98PQ.tex..* The reduced echelon form of the matrix B =. a) What is the rank of A. b) What is the dimenstion of the column space of A? c) What is the dimension of the null space of A? d) Find a solution to A~x =. e) Find the general solution to A~x =. is f) What is the row space of A? g) Would any of your answers above change if you changed A by randomly changing of its entries in the nd, third, and fourth columns to dierent small integers and the corresponding reduced echelon form for B was presented? (yes?, no?, probaly? probaly not?,?) MATH 9 FALL 998 FINAL # 9FA98FQ.tex.. onsider A~x = ~ b with 8. The augmented matrix of this system is. 8 and b = which is row equivalent to a) What are the rank of A and dim nul A? (Justify your answers.) b) Find bases for col A, row A, and nul A. c) What is the general solution ~x to A~x = ~ b with the given A and ~ b? d) Select another ~ b for which the above system has a solution. Give the general solution for that ~ b.

14 MATH 9 SPRING? FINAL # 9SPUFQ.tex..* Find the general soliution of the following linear system and express it in vector form x y + z w = 8 x + y z + w = x + y + z w = x y + z w = MATH 9??? FINAL # 9UFQ.tex..* a) Give all solutions of the following system in vector form. x + x = x x + x = x + x = b) What is the null space of the matrix of coecients of the unknowns in a)? MATH 9 SPRING 98 PRELIM # 9SP8PQ.tex.. a) Write the system of equations x + x + x = x + x + x = x + x + x = in the form A~x = ~ b. b) Find the det A for A in part (a) above. c) Does A exist? d) Solve the above system of equations for ~x = e) Let B x x x A.. Find A B (i.e. calculate the product AB). MATH 9 FALL 99 FINAL # 9FA9FQ.tex.. Write the general solution in vector form: x y + z + w = x + y z + w = x + y z w = x + y z + w = note: This problem is the same as MATH 9 SUMMER 99 PRELIM / #

15 .. INTRODUTION TO LINEAR SYSTEMS AND ROW REDUTION MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Find the general solution solution in vector form for the equations x + y + z w = x + y + z + w = x y + z w = MATH 9 SUMMER 99 PRELIM / # 9SU9PQ.tex..8 Find the general solution of the equations x y + z + w = x + y z + w = x + y z w = x + y z + w = MATH 9 SUMMER 99 FINAL # 9SU9FQ.tex..9* a) Find the general solution, in vector form, of the equations A~x = ~ b b) Solve AX = B A ; ~ b A A and B MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. a) Solve the linear system: w x + y z = w + x y z = w + x y z = w x y z = Write the general solution in vector form as the sum of a particular solution plus the general solution of the associated homogeneous equation. b) heck your answer, and explain what you do to check. MATH 9 SPRING 99 PRELIM # 9SP9PQ.tex.. Two chemicals A and B, are reacting with each other. After one second has elapsed, 9% of chemical A stays chemical A, while % turns into chemical B; also, 8% of chemical B stays chemical B, while % turns into chemical A. Suppose that the system is in equilibrium, i.e. that there is no change in the amount in grams of chemical A or B from one second to the next. If there are grams of chemical A at equilibrium, how many grams of chemical B must there be? A

16 MATH 9 FALL 99 PRELIM # 9FA9PQ.tex.. A spaceship operator operates daily spaceship service between three planets, A; B; and. The matrix below shows the trac during a Monday. The numbers are fractions of the total number of spaceships that start at one location, and go to another destination. For example, the. means that % of the spaceships that start at travel to A that day. from A : : : : A A B The distribution of spaceships at planets A; B; and on Monday is,b; c. Find b and c such that the same distribution of space ships reappears the next day, on Tuesday. MATH 9 FALL 998 PRELIM # 9FA98PQ.tex.. onsider the chemical reaction (unbalanced as written below) H O + O! O + H O: Let x ; x ; x ; and x be the number of molecules of each compound (in the order give above). Find integers x ; x :x ; x that balance this reaction. Hint: If you order your elements and hence equations Oxygen arbon Hydrogen A ; O H A ; you will minimize th number of row operations. MATH 9 FALL 998 FINAL # 9FA98FQ.tex.. The kingdom of Ferrgrad has three primary industrial sectors: iron, railroad, and coal. Suppose that: To produce $ of steel, the steel sector consumes $. of steel, $. of railroad, and $. of coal. To produce $ of railroad transportation that rail sector consumes $. of steel, $. of rail, and $. of coal. To produce $ of coal, the coal sector consumes $. of steel, $. of rail, and $. of coal. Ferrograd does not use all its production in the various sectors to maintain the others. Additionally it exports S = $:x of steel, R = $:8x of railroad transportational services, = $:x of coal. Dene S; R; and to be the $ values of annual production of steel, rail, and coal. Set and do not solve a matrix equation that will tell you S; R; and, the values of the annual productions of the three sectors. [Hint: rst write three simultaneous equations, one for each output, which relate production to output.] to

1.4 Linear Transformation I

1.4 Linear Transformation I .4. LINEAR TRANSFORMATION I.4 Linear Transformation I MATH 9 FALL 99 PRELIM # 5 9FA9PQ5.tex.4. a) Consider the vector transformation y f(x) from V to V such that if y (y ; y ); x (x ; x ); y (x + x ) p

More information

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

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics MATH M Test #1. July 11, 2013 Solutions YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH 222 3. M Test # July, 23 Solutions. For each statement indicate whether it is always TRUE or sometimes FALSE. Note: For

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

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 MATH 33 Sample Questions for Exam 3. Find x and y so that x 4 3 5x 3y + y = 5 5. x = 3/7, y = 49/7. Let A = 3 4, B = 3 5, C = 3 Perform the indicated operations, if possible: a AC b AB c B + AC d CBA AB

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

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

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

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

1. Let m 1 and n 1 be two natural numbers such that m > n. Which of the following is/are true? . Let m and n be two natural numbers such that m > n. Which of the following is/are true? (i) A linear system of m equations in n variables is always consistent. (ii) A linear system of n equations in

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

(a) II and III (b) I (c) I and III (d) I and II and III (e) None are true.

(a) II and III (b) I (c) I and III (d) I and II and III (e) None are true. 1 Which of the following statements is always true? I The null space of an m n matrix is a subspace of R m II If the set B = {v 1,, v n } spans a vector space V and dimv = n, then B is a basis for V III

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

Announcements Monday, October 29

Announcements Monday, October 29 Announcements Monday, October 29 WeBWorK on determinents due on Wednesday at :59pm. The quiz on Friday covers 5., 5.2, 5.3. My office is Skiles 244 and Rabinoffice hours are: Mondays, 2 pm; Wednesdays,

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

MAT Linear Algebra Collection of sample exams

MAT Linear Algebra Collection of sample exams MAT 342 - Linear Algebra Collection of sample exams A-x. (0 pts Give the precise definition of the row echelon form. 2. ( 0 pts After performing row reductions on the augmented matrix for a certain system

More information

Chapter 2 Notes, Linear Algebra 5e Lay

Chapter 2 Notes, Linear Algebra 5e Lay Contents.1 Operations with Matrices..................................1.1 Addition and Subtraction.............................1. Multiplication by a scalar............................ 3.1.3 Multiplication

More information

MATH 20F: LINEAR ALGEBRA LECTURE B00 (T. KEMP)

MATH 20F: LINEAR ALGEBRA LECTURE B00 (T. KEMP) MATH 20F: LINEAR ALGEBRA LECTURE B00 (T KEMP) Definition 01 If T (x) = Ax is a linear transformation from R n to R m then Nul (T ) = {x R n : T (x) = 0} = Nul (A) Ran (T ) = {Ax R m : x R n } = {b R m

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

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 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

Announcements Wednesday, November 01

Announcements Wednesday, November 01 Announcements Wednesday, November 01 WeBWorK 3.1, 3.2 are due today at 11:59pm. The quiz on Friday covers 3.1, 3.2. My office is Skiles 244. Rabinoffice hours are Monday, 1 3pm and Tuesday, 9 11am. Section

More information

Linear Algebra Practice Problems

Linear Algebra Practice Problems Math 7, Professor Ramras Linear Algebra Practice Problems () Consider the following system of linear equations in the variables x, y, and z, in which the constants a and b are real numbers. x y + z = a

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 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

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

1. What is the determinant of the following matrix? a 1 a 2 4a 3 2a 2 b 1 b 2 4b 3 2b c 1. = 4, then det

1. What is the determinant of the following matrix? a 1 a 2 4a 3 2a 2 b 1 b 2 4b 3 2b c 1. = 4, then det What is the determinant of the following matrix? 3 4 3 4 3 4 4 3 A 0 B 8 C 55 D 0 E 60 If det a a a 3 b b b 3 c c c 3 = 4, then det a a 4a 3 a b b 4b 3 b c c c 3 c = A 8 B 6 C 4 D E 3 Let A be an n n matrix

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

Linear Algebra Practice Problems

Linear Algebra Practice Problems Linear Algebra Practice Problems Math 24 Calculus III Summer 25, Session II. Determine whether the given set is a vector space. If not, give at least one axiom that is not satisfied. Unless otherwise stated,

More information

Announcements Wednesday, November 01

Announcements Wednesday, November 01 Announcements Wednesday, November 01 WeBWorK 3.1, 3.2 are due today at 11:59pm. The quiz on Friday covers 3.1, 3.2. My office is Skiles 244. Rabinoffice hours are Monday, 1 3pm and Tuesday, 9 11am. Section

More information

Math 322. Spring 2015 Review Problems for Midterm 2

Math 322. Spring 2015 Review Problems for Midterm 2 Linear Algebra: Topic: Linear Independence of vectors. Question. Math 3. Spring Review Problems for Midterm Explain why if A is not square, then either the row vectors or the column vectors of A are linearly

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

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

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET This is a (not quite comprehensive) list of definitions and theorems given in Math 1553. Pay particular attention to the ones in red. Study Tip For each

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

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

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

2.3. VECTOR SPACES 25

2.3. VECTOR SPACES 25 2.3. VECTOR SPACES 25 2.3 Vector Spaces MATH 294 FALL 982 PRELIM # 3a 2.3. Let C[, ] denote the space of continuous functions defined on the interval [,] (i.e. f(x) is a member of C[, ] if f(x) is continuous

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

LINEAR ALGEBRA QUESTION BANK

LINEAR ALGEBRA QUESTION BANK LINEAR ALGEBRA QUESTION BANK () ( points total) Circle True or False: TRUE / FALSE: If A is any n n matrix, and I n is the n n identity matrix, then I n A = AI n = A. TRUE / FALSE: If A, B are n n matrices,

More information

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET This is a (not quite comprehensive) list of definitions and theorems given in Math 1553. Pay particular attention to the ones in red. Study Tip For each

More information

MTH 464: Computational Linear Algebra

MTH 464: Computational Linear Algebra MTH 464: Computational Linear Algebra Lecture Outlines Exam 2 Material Prof. M. Beauregard Department of Mathematics & Statistics Stephen F. Austin State University March 2, 2018 Linear Algebra (MTH 464)

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

Problem Set (T) If A is an m n matrix, B is an n p matrix and D is a p s matrix, then show

Problem Set (T) If A is an m n matrix, B is an n p matrix and D is a p s matrix, then show MTH 0: Linear Algebra Department of Mathematics and Statistics Indian Institute of Technology - Kanpur Problem Set Problems marked (T) are for discussions in Tutorial sessions (T) If A is an m n matrix,

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

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

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

MTH Linear Algebra. Study Guide. Dr. Tony Yee Department of Mathematics and Information Technology The Hong Kong Institute of Education

MTH Linear Algebra. Study Guide. Dr. Tony Yee Department of Mathematics and Information Technology The Hong Kong Institute of Education MTH 3 Linear Algebra Study Guide Dr. Tony Yee Department of Mathematics and Information Technology The Hong Kong Institute of Education June 3, ii Contents Table of Contents iii Matrix Algebra. Real Life

More information

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

2. Every linear system with the same number of equations as unknowns has a unique solution. 1. For matrices A, B, C, A + B = A + C if and only if A = B. 2. Every linear system with the same number of equations as unknowns has a unique solution. 3. Every linear system with the same number of equations

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

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 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 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

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

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics MATH M Test #2 Solutions

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics MATH M Test #2 Solutions YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH 3. M Test # Solutions. (8 pts) For each statement indicate whether it is always TRUE or sometimes FALSE. Note: For this

More information

Review problems for MA 54, Fall 2004.

Review problems for MA 54, Fall 2004. Review problems for MA 54, Fall 2004. Below are the review problems for the final. They are mostly homework problems, or very similar. If you are comfortable doing these problems, you should be fine on

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

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

NAME MATH 304 Examination 2 Page 1

NAME MATH 304 Examination 2 Page 1 NAME MATH 4 Examination 2 Page. [8 points (a) Find the following determinant. However, use only properties of determinants, without calculating directly (that is without expanding along a column or row

More information

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory.

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. Linear Algebra Standard matrix manipulation to compute the kernel, intersection of subspaces, column spaces,

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

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. =

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. = SECTION 3.3. PROBLEM. The null space of a matrix A is: N(A) {X : AX }. Here are the calculations of AX for X a,b,c,d, and e. Aa [ ][ ] 3 3 [ ][ ] Ac 3 3 [ ] 3 3 [ ] 4+4 6+6 Ae [ ], Ab [ ][ ] 3 3 3 [ ]

More information

Math 265 Linear Algebra Sample Spring 2002., rref (A) =

Math 265 Linear Algebra Sample Spring 2002., rref (A) = Math 265 Linear Algebra Sample Spring 22. It is given that A = rref (A T )= 2 3 5 3 2 6, rref (A) = 2 3 and (a) Find the rank of A. (b) Find the nullityof A. (c) Find a basis for the column space of A.

More information

Chapter 5. Eigenvalues and Eigenvectors

Chapter 5. Eigenvalues and Eigenvectors Chapter 5 Eigenvalues and Eigenvectors Section 5. Eigenvectors and Eigenvalues Motivation: Difference equations A Biology Question How to predict a population of rabbits with given dynamics:. half of the

More information

Conceptual Questions for Review

Conceptual Questions for Review Conceptual Questions for Review Chapter 1 1.1 Which vectors are linear combinations of v = (3, 1) and w = (4, 3)? 1.2 Compare the dot product of v = (3, 1) and w = (4, 3) to the product of their lengths.

More information

Glossary of Linear Algebra Terms. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB

Glossary of Linear Algebra Terms. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB Glossary of Linear Algebra Terms Basis (for a subspace) A linearly independent set of vectors that spans the space Basic Variable A variable in a linear system that corresponds to a pivot column in the

More information

Mathematics 1. Part II: Linear Algebra. Exercises and problems

Mathematics 1. Part II: Linear Algebra. Exercises and problems Bachelor Degree in Informatics Engineering Barcelona School of Informatics Mathematics Part II: Linear Algebra Eercises and problems February 5 Departament de Matemàtica Aplicada Universitat Politècnica

More information

Quizzes for Math 304

Quizzes for Math 304 Quizzes for Math 304 QUIZ. A system of linear equations has augmented matrix 2 4 4 A = 2 0 2 4 3 5 2 a) Write down this system of equations; b) Find the reduced row-echelon form of A; c) What are the pivot

More information

MATH 31 - ADDITIONAL PRACTICE PROBLEMS FOR FINAL

MATH 31 - ADDITIONAL PRACTICE PROBLEMS FOR FINAL MATH 3 - ADDITIONAL PRACTICE PROBLEMS FOR FINAL MAIN TOPICS FOR THE FINAL EXAM:. Vectors. Dot product. Cross product. Geometric applications. 2. Row reduction. Null space, column space, row space, left

More information

MATH 240 Spring, Chapter 1: Linear Equations and Matrices

MATH 240 Spring, Chapter 1: Linear Equations and Matrices MATH 240 Spring, 2006 Chapter Summaries for Kolman / Hill, Elementary Linear Algebra, 8th Ed. Sections 1.1 1.6, 2.1 2.2, 3.2 3.8, 4.3 4.5, 5.1 5.3, 5.5, 6.1 6.5, 7.1 7.2, 7.4 DEFINITIONS Chapter 1: Linear

More information

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

1. Select the unique answer (choice) for each problem. Write only the answer. MATH 5 Practice Problem Set Spring 7. Select the unique answer (choice) for each problem. Write only the answer. () Determine all the values of a for which the system has infinitely many solutions: x +

More information

Math Computation Test 1 September 26 th, 2016 Debate: Computation vs. Theory Whatever wins, it ll be Huuuge!

Math Computation Test 1 September 26 th, 2016 Debate: Computation vs. Theory Whatever wins, it ll be Huuuge! Math 5- Computation Test September 6 th, 6 Debate: Computation vs. Theory Whatever wins, it ll be Huuuge! Name: Answer Key: Making Math Great Again Be sure to show your work!. (8 points) Consider the following

More information

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

Chapter 5. Linear Algebra. A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form Chapter 5. Linear Algebra A linear (algebraic) equation in n unknowns, x 1, x 2,..., x n, is an equation of the form a 1 x 1 + a 2 x 2 + + a n x n = b where a 1, a 2,..., a n and b are real numbers. 1

More information

LINEAR ALGEBRA KNOWLEDGE SURVEY

LINEAR ALGEBRA KNOWLEDGE SURVEY LINEAR ALGEBRA KNOWLEDGE SURVEY Instructions: This is a Knowledge Survey. For this assignment, I am only interested in your level of confidence about your ability to do the tasks on the following pages.

More information

Chapters 5 & 6: Theory Review: Solutions Math 308 F Spring 2015

Chapters 5 & 6: Theory Review: Solutions Math 308 F Spring 2015 Chapters 5 & 6: Theory Review: Solutions Math 308 F Spring 205. If A is a 3 3 triangular matrix, explain why det(a) is equal to the product of entries on the diagonal. If A is a lower triangular or diagonal

More information

University of Ottawa

University of Ottawa 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

More information

Linear Algebra Summary. Based on Linear Algebra and its applications by David C. Lay

Linear Algebra Summary. Based on Linear Algebra and its applications by David C. Lay Linear Algebra Summary Based on Linear Algebra and its applications by David C. Lay Preface The goal of this summary is to offer a complete overview of all theorems and definitions introduced in the chapters

More information

Final Exam Practice Problems Answers Math 24 Winter 2012

Final Exam Practice Problems Answers Math 24 Winter 2012 Final Exam Practice Problems Answers Math 4 Winter 0 () The Jordan product of two n n matrices is defined as A B = (AB + BA), where the products inside the parentheses are standard matrix product. Is the

More information

1. In this problem, if the statement is always true, circle T; otherwise, circle F.

1. In this problem, if the statement is always true, circle T; otherwise, circle F. Math 1553, Extra Practice for Midterm 3 (sections 45-65) Solutions 1 In this problem, if the statement is always true, circle T; otherwise, circle F a) T F If A is a square matrix and the homogeneous equation

More information

Math 240, 4.3 Linear Independence; Bases A. DeCelles. 1. definitions of linear independence, linear dependence, dependence relation, basis

Math 240, 4.3 Linear Independence; Bases A. DeCelles. 1. definitions of linear independence, linear dependence, dependence relation, basis Math 24 4.3 Linear Independence; Bases A. DeCelles Overview Main ideas:. definitions of linear independence linear dependence dependence relation basis 2. characterization of linearly dependent set using

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

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

MATH10212 Linear Algebra B Homework 7

MATH10212 Linear Algebra B Homework 7 MATH22 Linear Algebra B Homework 7 Students are strongly advised to acquire a copy of the Textbook: D C Lay, Linear Algebra and its Applications Pearson, 26 (or other editions) Normally, homework assignments

More information

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

Linear independence, span, basis, dimension - and their connection with linear systems Linear independence span basis dimension - and their connection with linear systems Linear independence of a set of vectors: We say the set of vectors v v..v k is linearly independent provided c v c v..c

More information

Linear Algebra problems

Linear Algebra problems Linear Algebra problems 1. Show that the set F = ({1, 0}, +,.) is a field where + and. are defined as 1+1=0, 0+0=0, 0+1=1+0=1, 0.0=0.1=1.0=0, 1.1=1.. Let X be a non-empty set and F be any field. Let X

More information

Elementary Linear Algebra Review for Exam 2 Exam is Monday, November 16th.

Elementary Linear Algebra Review for Exam 2 Exam is Monday, November 16th. Elementary Linear Algebra Review for Exam Exam is Monday, November 6th. The exam will cover sections:.4,..4, 5. 5., 7., the class notes on Markov Models. You must be able to do each of the following. Section.4

More information

Third Midterm Exam Name: Practice Problems November 11, Find a basis for the subspace spanned by the following vectors.

Third Midterm Exam Name: Practice Problems November 11, Find a basis for the subspace spanned by the following vectors. Math 7 Treibergs Third Midterm Exam Name: Practice Problems November, Find a basis for the subspace spanned by the following vectors,,, We put the vectors in as columns Then row reduce and choose the pivot

More information

The value of a problem is not so much coming up with the answer as in the ideas and attempted ideas it forces on the would be solver I.N.

The value of a problem is not so much coming up with the answer as in the ideas and attempted ideas it forces on the would be solver I.N. Math 410 Homework Problems In the following pages you will find all of the homework problems for the semester. Homework should be written out neatly and stapled and turned in at the beginning of class

More information

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and Section 5.5. Matrices and Vectors A matrix is a rectangular array of objects arranged in rows and columns. The objects are called the entries. A matrix with m rows and n columns is called an m n matrix.

More information

Math 4A Notes. Written by Victoria Kala Last updated June 11, 2017

Math 4A Notes. Written by Victoria Kala Last updated June 11, 2017 Math 4A Notes Written by Victoria Kala vtkala@math.ucsb.edu Last updated June 11, 2017 Systems of Linear Equations A linear equation is an equation that can be written in the form a 1 x 1 + a 2 x 2 +...

More information

DIAGONALIZATION. In order to see the implications of this definition, let us consider the following example Example 1. Consider the matrix

DIAGONALIZATION. In order to see the implications of this definition, let us consider the following example Example 1. Consider the matrix DIAGONALIZATION Definition We say that a matrix A of size n n is diagonalizable if there is a basis of R n consisting of eigenvectors of A ie if there are n linearly independent vectors v v n such that

More information

spring, math 204 (mitchell) list of theorems 1 Linear Systems Linear Transformations Matrix Algebra

spring, math 204 (mitchell) list of theorems 1 Linear Systems Linear Transformations Matrix Algebra spring, 2016. math 204 (mitchell) list of theorems 1 Linear Systems THEOREM 1.0.1 (Theorem 1.1). Uniqueness of Reduced Row-Echelon Form THEOREM 1.0.2 (Theorem 1.2). Existence and Uniqueness Theorem THEOREM

More information

Lecture Notes in Linear Algebra

Lecture Notes in Linear Algebra Lecture Notes in Linear Algebra Dr. Abdullah Al-Azemi Mathematics Department Kuwait University February 4, 2017 Contents 1 Linear Equations and Matrices 1 1.2 Matrices............................................

More information

Math 21b. Review for Final Exam

Math 21b. Review for Final Exam Math 21b. Review for Final Exam Thomas W. Judson Spring 2003 General Information The exam is on Thursday, May 15 from 2:15 am to 5:15 pm in Jefferson 250. Please check with the registrar if you have a

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

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and Section 5.5. Matrices and Vectors A matrix is a rectangular array of objects arranged in rows and columns. The objects are called the entries. A matrix with m rows and n columns is called an m n matrix.

More information

Math 313 Chapter 1 Review

Math 313 Chapter 1 Review Math 313 Chapter 1 Review Howard Anton, 9th Edition May 2010 Do NOT write on me! Contents 1 1.1 Introduction to Systems of Linear Equations 2 2 1.2 Gaussian Elimination 3 3 1.3 Matrices and Matrix Operations

More information

Solutions to Final Exam 2011 (Total: 100 pts)

Solutions to Final Exam 2011 (Total: 100 pts) Page of 5 Introduction to Linear Algebra November 7, Solutions to Final Exam (Total: pts). Let T : R 3 R 3 be a linear transformation defined by: (5 pts) T (x, x, x 3 ) = (x + 3x + x 3, x x x 3, x + 3x

More information

Vector Spaces 4.4 Spanning and Independence

Vector Spaces 4.4 Spanning and Independence Vector Spaces 4.4 and Independence Summer 2017 Goals Discuss two important basic concepts: Define linear combination of vectors. Define Span(S) of a set S of vectors. Define linear Independence of a set

More information

Math 2174: Practice Midterm 1

Math 2174: Practice Midterm 1 Math 74: Practice Midterm Show your work and explain your reasoning as appropriate. No calculators. One page of handwritten notes is allowed for the exam, as well as one blank page of scratch paper.. Consider

More information

Family Feud Review. Linear Algebra. October 22, 2013

Family Feud Review. Linear Algebra. October 22, 2013 Review Linear Algebra October 22, 2013 Question 1 Let A and B be matrices. If AB is a 4 7 matrix, then determine the dimensions of A and B if A has 19 columns. Answer 1 Answer A is a 4 19 matrix, while

More information