Chapter Practice Test Name: Period: Date:

Size: px
Start display at page:

Download "Chapter Practice Test Name: Period: Date:"

Transcription

1 Name: Period: Date: 1. Draw the graph of the following system: 3 x+ 5 y+ 13 = 0 29 x 11 y 7 = y = x 3x+ 5y+ 13= x 11y 7 = y = x Practice Test Page 1

2 2. Determine the ordered triple below that is a solution of the given system of equations. x 4 y+ 5z = 39 5 x 5 y 7 z = 31 5 x+ y+ 7z = 93 ( xyz,, ) = ( 7, 2,8) 3. An augmented matrix that represents a system of linear equations (in variables x, y, and z) has been reduced using Gauss-Jordan elimination (i.e. Reduced Row-Echelon Form.) Write the solution represented by the augmented matrix ( xyz,, ) = ( 8, 7,9) 4. Perform the indicated row operations on the matrix. Show the final result Add 7 times R 1 to R 2. Add 7 times R 1 to R Version Practice Page 2

3 5. Find the equilibrium point of the demand and supply equations. (The equilibrium point is the price p and number of units x that satisfy both the demand and supply equations.) Demand Supply p = x p = 0.5x 100 We are looking for the combination of ( xp, ) that will be the same in both equations. Step 1: Set the two expressions for P equal to each other: x= 0.5x 100 Step 2: (Optional) If you don t like decimals, multiply both sides of the equation by x= 50x Step 3: Solve for x = 57x = x x Step 4: Substitute 300 for x in one of the equations and solve for P. ( ) P = P = P = 50 Step 5: Finalize the answer. ( xp, ) = ( 300,50) Version Practice Page 3

4 6. Determine the ordered pair that is a solution of the system. 6 x 4 y = 3 2 x 9 y = 9 Step 1: Multiply the bottom equation by 3. 6x 4y = 3 6x 27 y = 27 Step 2: Add the two equations. 31y = 30 y = Step 3: Substitute Step 4: Finalize x 4 = x = x = x = x = x = , =, ( xy) for y and solve. Version Practice Page 4

5 7. Write the system of linear equations represented by the augmented matrix. Then use back-substitution to solve. (Use variables x, y, and z.) x+ 6y+ 8z = 26 1y 3z = 5 z = 2 z = 2 1y 3z = 5 ( ) y 3 2 = 5 y + 6= 5 y = 1 x+ 6y+ 8z = 26 ( ) ( ) x = 26 x 6 16 = 26 x 22 = 26 x = 4 ( xyz,, ) = ( 4, 1, 2) Version Practice Page 5

6 8. Find the equation of the parabola 2 y = ax + bx + c that passes through the points. ( 3, 3 ), ( 1, 2 ), ( 1,1) Use the x- and y- coordinates of the given points to make a system of equations. = ( ) 2 + b( 3) + c = 3 ( ) 2 + b( 1) + c = 2 ( ) 2 + b( 1) + c = 1 a 3 a 1 a 1 = 9a 3b + c = 3 a b + c = 2 a + b + c = 1 rref = y = x + x Fill in the blank using elementary row operations to form a row-equivalent matrix In order for the element in row 2 column 1 to turn from a 2 to a 0, row one must have been multiplied by - 2 and added to row two and row two replaced. Therefore, when the 2 in row one column two is multiplied by - 2 we get - 4. When - 4 is added to the - 8 in row two column two, the result is: Version Practice Page 6

7 10. Determine which ordered pair is a solution of the system. 2 x+ 2 y = 4 7 x+ 6 y = 48 From equation 1 we get: x= 4 2y 2 Substitute this expression for x in the second equation. 7( 4 2y ) 2 + 6y = y 2 + 6y = y 2 + 6y + 48 = 0 14y 2 + 6y + 20 = 0 ( ) = y 2 3y 10 7 y 2 3y 10 = 0 ( 7 y 10) ( y +1) = 0 y = 10 7, 1 Substitute these values into either of the two equations to find the value of x. x = x = x = x = x = ( x, y) = ,10 7 x = 4 2( 1) 2 x = 4 2( 1) x = 4 2 x = 6 ( x, y) = ( 6, 1) Version Practice Page 7

8 11. Write the form of the partial fraction decomposition of the rational expression. Do not solve for the constants. 2 x 2 2x x = 2x x x ( 2) A B + x x Identify the elementary row operation being performed to obtain the new rowequivalent matrix. Original Matrix New Row-Equivalent Matrix After careful observation one should note the second row has stayed the same but row 1 has changed. Noting the - 5 in row one column two was changed to - 8, we can assume - 3 was added to - 5. In order for the 3 from row two column two to become a - 3, the second row must have been multiplied by - 1. Thus, Add 1 times Row 2 to Row1. Version Practice Page 8

9 13. Solve the system of linear equations. x + y + z + w= 10 3 x 4 y+ 4 z w= 14 4 x 2 z+ 4 w= 4 3 x 4 y+ 4 z+ 4 w= 7 Once again, use the matrix features of your graphing calculator to solve. rref = Therefore: ( xyzw,,, ) = ( 1, 4, 2, 3) Version Practice Page 9

10 1. Answer Key Similar to Exercise: (7, 2, 8) Similar to Exercise: 7.3.2b 3. x = 8, y = 7, z = 9 Similar to Exercise: Similar to Exercise: ,50 5. ( ) Similar to Exercise: , Similar to Exercise: 7.1.1b 7. x = 4, y = 1, z = 2 Similar to Exercise: y = x + x Similar to Exercise: ( 6, 1) &, 49 7 Similar to Exercise: 7.1.2b 11. A B + x x 2 Similar to Exercise: Add 1 times R 2 to R 1. Similar to Exercise: Version Practice Page 10

11 ( 1, 4, 2, 3) Similar to Exercise: Version Practice Page 11

1. Solve each linear system using Gaussian elimination or Gauss-Jordan reduction. The augmented matrix of this linear system is

1. Solve each linear system using Gaussian elimination or Gauss-Jordan reduction. The augmented matrix of this linear system is Solutions to Homework Additional Problems. Solve each linear system using Gaussian elimination or Gauss-Jordan reduction. (a) x + y = 8 3x + 4y = 7 x + y = 3 The augmented matrix of this linear system

More information

9.1 - Systems of Linear Equations: Two Variables

9.1 - Systems of Linear Equations: Two Variables 9.1 - Systems of Linear Equations: Two Variables Recall that a system of equations consists of two or more equations each with two or more variables. A solution to a system in two variables is an ordered

More information

Section 6.2 Larger Systems of Linear Equations

Section 6.2 Larger Systems of Linear Equations Section 6.2 Larger Systems of Linear Equations Gaussian Elimination In general, to solve a system of linear equations using its augmented matrix, we use elementary row operations to arrive at a matrix

More information

Gauss-Jordan Row Reduction and Reduced Row Echelon Form

Gauss-Jordan Row Reduction and Reduced Row Echelon Form Gauss-Jordan Row Reduction and Reduced Row Echelon Form If we put the augmented matrix of a linear system in reduced row-echelon form, then we don t need to back-substitute to solve the system. To put

More information

Systems of Linear Equations in Two Variables. Break Even. Example. 240x x This is when total cost equals total revenue.

Systems of Linear Equations in Two Variables. Break Even. Example. 240x x This is when total cost equals total revenue. Systems of Linear Equations in Two Variables 1 Break Even This is when total cost equals total revenue C(x) = R(x) A company breaks even when the profit is zero P(x) = R(x) C(x) = 0 2 R x 565x C x 6000

More information

Math 1314 Week #14 Notes

Math 1314 Week #14 Notes Math 3 Week # Notes Section 5.: A system of equations consists of two or more equations. A solution to a system of equations is a point that satisfies all the equations in the system. In this chapter,

More information

Chapter 1. Vectors, Matrices, and Linear Spaces

Chapter 1. Vectors, Matrices, and Linear Spaces 1.4 Solving Systems of Linear Equations 1 Chapter 1. Vectors, Matrices, and Linear Spaces 1.4. Solving Systems of Linear Equations Note. We give an algorithm for solving a system of linear equations (called

More information

Exercise Sketch these lines and find their intersection.

Exercise Sketch these lines and find their intersection. These are brief notes for the lecture on Friday August 21, 2009: they are not complete, but they are a guide to what I want to say today. They are not guaranteed to be correct. 1. Solving systems of linear

More information

SOLVING Ax = b: GAUSS-JORDAN ELIMINATION [LARSON 1.2]

SOLVING Ax = b: GAUSS-JORDAN ELIMINATION [LARSON 1.2] SOLVING Ax = b: GAUSS-JORDAN ELIMINATION [LARSON.2 EQUIVALENT LINEAR SYSTEMS: Two m n linear systems are equivalent both systems have the exact same solution sets. When solving a linear system Ax = b,

More information

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

5x 2 = 10. x 1 + 7(2) = 4. x 1 3x 2 = 4. 3x 1 + 9x 2 = 8 1 To solve the system x 1 + x 2 = 4 2x 1 9x 2 = 2 we find an (easier to solve) equivalent system as follows: Replace equation 2 with (2 times equation 1 + equation 2): x 1 + x 2 = 4 Solve equation 2 for

More information

Solving Linear Systems Using Gaussian Elimination

Solving Linear Systems Using Gaussian Elimination Solving Linear Systems Using Gaussian Elimination DEFINITION: A linear equation in the variables x 1,..., x n is an equation that can be written in the form a 1 x 1 +...+a n x n = b, where a 1,...,a n

More information

Linear System Equations

Linear System Equations King Saud University September 24, 2018 Table of contents 1 2 3 4 Definition A linear system of equations with m equations and n unknowns is defined as follows: a 1,1 x 1 + a 1,2 x 2 + + a 1,n x n = b

More information

Linear Algebra I Lecture 8

Linear Algebra I Lecture 8 Linear Algebra I Lecture 8 Xi Chen 1 1 University of Alberta January 25, 2019 Outline 1 2 Gauss-Jordan Elimination Given a system of linear equations f 1 (x 1, x 2,..., x n ) = 0 f 2 (x 1, x 2,..., x n

More information

Perform the same three operations as above on the values in the matrix, where some notation is given as a shorthand way to describe each operation:

Perform the same three operations as above on the values in the matrix, where some notation is given as a shorthand way to describe each operation: SECTION 2.1: SOLVING SYSTEMS OF EQUATIONS WITH A UNIQUE SOLUTION In Chapter 1 we took a look at finding the intersection point of two lines on a graph. Chapter 2 begins with a look at a more formal approach

More information

3.4 Elementary Matrices and Matrix Inverse

3.4 Elementary Matrices and Matrix Inverse Math 220: Summer 2015 3.4 Elementary Matrices and Matrix Inverse A n n elementary matrix is a matrix which is obtained from the n n identity matrix I n n by a single elementary row operation. Elementary

More information

CHAPTER 9: Systems of Equations and Matrices

CHAPTER 9: Systems of Equations and Matrices MAT 171 Precalculus Algebra Dr. Claude Moore Cape Fear Community College CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations in Three Variables

More information

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

DM559 Linear and Integer Programming. Lecture 2 Systems of Linear Equations. Marco Chiarandini DM559 Linear and Integer Programming Lecture Marco Chiarandini Department of Mathematics & Computer Science University of Southern Denmark Outline 1. Outline 1. 3 A Motivating Example You are organizing

More information

Linear Algebra I Lecture 10

Linear Algebra I Lecture 10 Linear Algebra I Lecture 10 Xi Chen 1 1 University of Alberta January 30, 2019 Outline 1 Gauss-Jordan Algorithm ] Let A = [a ij m n be an m n matrix. To reduce A to a reduced row echelon form using elementary

More information

Section Gaussian Elimination

Section Gaussian Elimination Section. - Gaussian Elimination A matrix is said to be in row echelon form (REF) if it has the following properties:. The first nonzero entry in any row is a. We call this a leading one or pivot one..

More information

Inverting Matrices. 1 Properties of Transpose. 2 Matrix Algebra. P. Danziger 3.2, 3.3

Inverting Matrices. 1 Properties of Transpose. 2 Matrix Algebra. P. Danziger 3.2, 3.3 3., 3.3 Inverting Matrices P. Danziger 1 Properties of Transpose Transpose has higher precedence than multiplication and addition, so AB T A ( B T and A + B T A + ( B T As opposed to the bracketed expressions

More information

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

Section 1.1 System of Linear Equations. Dr. Abdulla Eid. College of Science. MATHS 211: Linear Algebra Section 1.1 System of Linear Equations College of Science MATHS 211: Linear Algebra (University of Bahrain) Linear System 1 / 33 Goals:. 1 Define system of linear equations and their solutions. 2 To represent

More information

Number of solutions of a system

Number of solutions of a system Roberto s Notes on Linear Algebra Chapter 3: Linear systems and matrices Section 7 Number of solutions of a system What you need to know already: How to solve a linear system by using Gauss- Jordan elimination.

More information

If A is a 4 6 matrix and B is a 6 3 matrix then the dimension of AB is A. 4 6 B. 6 6 C. 4 3 D. 3 4 E. Undefined

If A is a 4 6 matrix and B is a 6 3 matrix then the dimension of AB is A. 4 6 B. 6 6 C. 4 3 D. 3 4 E. Undefined Question 1 If A is a 4 6 matrix and B is a 6 3 matrix then the dimension of AB is A. 4 6 B. 6 6 C. 4 3 D. 3 4 E. Undefined Quang T. Bach Math 18 October 18, 2017 1 / 17 Question 2 1 2 Let A = 3 4 1 2 3

More information

Chapter 1 Linear Equations. 1.1 Systems of Linear Equations

Chapter 1 Linear Equations. 1.1 Systems of Linear Equations Chapter Linear Equations. Systems of Linear Equations A linear equation in the n variables x, x 2,..., x n is one that can be expressed in the form a x + a 2 x 2 + + a n x n = b where a, a 2,..., a n and

More information

Matrices and Determinants

Matrices and Determinants Math Assignment Eperts is a leading provider of online Math help. Our eperts have prepared sample assignments to demonstrate the quality of solution we provide. If you are looking for mathematics help

More information

4 Elementary matrices, continued

4 Elementary matrices, continued 4 Elementary matrices, continued We have identified 3 types of row operations and their corresponding elementary matrices. If you check the previous examples, you ll find that these matrices are constructed

More information

Solving Systems of Linear Equations Using Matrices

Solving Systems of Linear Equations Using Matrices Solving Systems of Linear Equations Using Matrices What is a Matrix? A matrix is a compact grid or array of numbers. It can be created from a system of equations and used to solve the system of equations.

More information

Matrix Solutions to Linear Equations

Matrix Solutions to Linear Equations Matrix Solutions to Linear Equations Augmented matrices can be used as a simplified way of writing a system of linear equations. In an augmented matrix, a vertical line is placed inside the matrix to represent

More information

CHAPTER 9: Systems of Equations and Matrices

CHAPTER 9: Systems of Equations and Matrices MAT 171 Precalculus Algebra Dr. Claude Moore Cape Fear Community College CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations in Three Variables

More information

Week 1 (8/24/2004-8/30/2004) Read 2.1: Solution of linear system by the Echelon method

Week 1 (8/24/2004-8/30/2004) Read 2.1: Solution of linear system by the Echelon method Week 1 (8/24/2004-8/30/2004) Read 2.1: Solution of linear system by the Echelon method Important Terms and Concepts: Possibilities for the solutions of a system of two linear equations in two unknowns

More information

Methods for Solving Linear Systems Part 2

Methods for Solving Linear Systems Part 2 Methods for Solving Linear Systems Part 2 We have studied the properties of matrices and found out that there are more ways that we can solve Linear Systems. In Section 7.3, we learned that we can use

More information

Chapter 7 Linear Systems

Chapter 7 Linear Systems Chapter 7 Linear Systems Section 1 Section 2 Section 3 Solving Systems of Linear Equations Systems of Linear Equations in Two Variables Multivariable Linear Systems Vocabulary Systems of equations Substitution

More information

4 Elementary matrices, continued

4 Elementary matrices, continued 4 Elementary matrices, continued We have identified 3 types of row operations and their corresponding elementary matrices. To repeat the recipe: These matrices are constructed by performing the given row

More information

Lecture 2 Systems of Linear Equations and Matrices, Continued

Lecture 2 Systems of Linear Equations and Matrices, Continued Lecture 2 Systems of Linear Equations and Matrices, Continued Math 19620 Outline of Lecture Algorithm for putting a matrix in row reduced echelon form - i.e. Gauss-Jordan Elimination Number of Solutions

More information

6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations

6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations 6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations Gaussian Elimination You can solve a system of linear equations using matrices. Solving a system by transforming it into

More information

Polynomial Form. Factored Form. Perfect Squares

Polynomial Form. Factored Form. Perfect Squares We ve seen how to solve quadratic equations (ax 2 + bx + c = 0) by factoring and by extracting square roots, but what if neither of those methods are an option? What do we do with a quadratic equation

More information

CHAPTER 7: Systems and Inequalities

CHAPTER 7: Systems and Inequalities (Exercises for Chapter 7: Systems and Inequalities) E.7.1 CHAPTER 7: Systems and Inequalities (A) means refer to Part A, (B) means refer to Part B, etc. (Calculator) means use a calculator. Otherwise,

More information

Problem Sheet 1 with Solutions GRA 6035 Mathematics

Problem Sheet 1 with Solutions GRA 6035 Mathematics Problem Sheet 1 with Solutions GRA 6035 Mathematics BI Norwegian Business School 2 Problems 1. From linear system to augmented matrix Write down the coefficient matrix and the augmented matrix of the following

More information

Learning Module 1 - Basic Algebra Review (Appendix A)

Learning Module 1 - Basic Algebra Review (Appendix A) Learning Module 1 - Basic Algebra Review (Appendix A) Element 1 Real Numbers and Operations on Polynomials (A.1, A.2) Use the properties of real numbers and work with subsets of the real numbers Determine

More information

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

Pre-Calculus I. For example, the system. x y 2 z. may be represented by the augmented matrix Pre-Calculus I 8.1 Matrix Solutions to Linear Systems A matrix is a rectangular array of elements. o An array is a systematic arrangement of numbers or symbols in rows and columns. Matrices (the plural

More information

CHAPTER 8: Matrices and Determinants

CHAPTER 8: Matrices and Determinants (Exercises for Chapter 8: Matrices and Determinants) E.8.1 CHAPTER 8: Matrices and Determinants (A) means refer to Part A, (B) means refer to Part B, etc. Most of these exercises can be done without a

More information

System of Linear Equations

System of Linear Equations Chapter 7 - S&B Gaussian and Gauss-Jordan Elimination We will study systems of linear equations by describing techniques for solving such systems. The preferred solution technique- Gaussian elimination-

More information

The Method of Substitution. Linear and Nonlinear Systems of Equations. The Method of Substitution. The Method of Substitution. Example 2.

The Method of Substitution. Linear and Nonlinear Systems of Equations. The Method of Substitution. The Method of Substitution. Example 2. The Method of Substitution Linear and Nonlinear Systems of Equations Precalculus 7.1 Here is an example of a system of two equations in two unknowns. Equation 1 x + y = 5 Equation 3x y = 4 A solution of

More information

Solving Systems of Linear Equations. Classification by Number of Solutions

Solving Systems of Linear Equations. Classification by Number of Solutions Solving Systems of Linear Equations Case 1: One Solution Case : No Solution Case 3: Infinite Solutions Independent System Inconsistent System Dependent System x = 4 y = Classification by Number of Solutions

More information

Chapter 1: System of Linear Equations 1.3 Application of Li. (Read Only) Satya Mandal, KU. Summer 2017: Fall 18 Update

Chapter 1: System of Linear Equations 1.3 Application of Li. (Read Only) Satya Mandal, KU. Summer 2017: Fall 18 Update Chapter 1: System of Linear Equations 1.3 Application of Linear systems (Read Only) Summer 2017: Fall 18 Update Goals In this section, we do a few applications of linear systems, as follows. Fitting polynomials,

More information

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

EXAM. Exam #1. Math 2360, Second Summer Session, April 24, 2001 ANSWERS i i EXAM Exam #1 Math 2360, Second Summer Session, 2002 April 24, 2001 ANSWERS i 50 pts. Problem 1. In each part you are given the augmented matrix of a system of linear equations, with the coefficent

More information

Sections 6.1 and 6.2: Systems of Linear Equations

Sections 6.1 and 6.2: Systems of Linear Equations What is a linear equation? Sections 6.1 and 6.2: Systems of Linear Equations We are now going to discuss solving systems of two or more linear equations with two variables. Recall that solving an equation

More information

Math 51, Homework-2. Section numbers are from the course textbook.

Math 51, Homework-2. Section numbers are from the course textbook. SSEA Summer 2017 Math 51, Homework-2 Section numbers are from the course textbook. 1. Write the parametric equation of the plane that contains the following point and line: 1 1 1 3 2, 4 2 + t 3 0 t R.

More information

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

Elementary Matrices. MATH 322, Linear Algebra I. J. Robert Buchanan. Spring Department of Mathematics Elementary Matrices MATH 322, Linear Algebra I J. Robert Buchanan Department of Mathematics Spring 2015 Outline Today s discussion will focus on: elementary matrices and their properties, using elementary

More information

1 System of linear equations

1 System of linear equations 1 System of linear equations 1.1 Two equations in two unknowns The following is a system of two linear equations in the two unknowns x and y: x y = 1 3x+4y = 6. A solution to the system is a pair (x,y)

More information

7.6 The Inverse of a Square Matrix

7.6 The Inverse of a Square Matrix 7.6 The Inverse of a Square Matrix Copyright Cengage Learning. All rights reserved. What You Should Learn Verify that two matrices are inverses of each other. Use Gauss-Jordan elimination to find inverses

More information

10.3 Matrices and Systems Of

10.3 Matrices and Systems Of 10.3 Matrices and Systems Of Linear Equations Copyright Cengage Learning. All rights reserved. Objectives Matrices The Augmented Matrix of a Linear System Elementary Row Operations Gaussian Elimination

More information

Chapter 1: Systems of Linear Equations and Matrices

Chapter 1: Systems of Linear Equations and Matrices : Systems of Linear Equations and Matrices Multiple Choice Questions. Which of the following equations is linear? (A) x + 3x 3 + 4x 4 3 = 5 (B) 3x x + x 3 = 5 (C) 5x + 5 x x 3 = x + cos (x ) + 4x 3 = 7.

More information

Chapter 2: Matrices and Linear Systems

Chapter 2: Matrices and Linear Systems Chapter 2: Matrices and Linear Systems Paul Pearson Outline Matrices Linear systems Row operations Inverses Determinants Matrices Definition An m n matrix A = (a ij ) is a rectangular array of real numbers

More information

FINAL (CHAPTERS 7-9) MATH 141 SPRING 2018 KUNIYUKI 250 POINTS TOTAL

FINAL (CHAPTERS 7-9) MATH 141 SPRING 2018 KUNIYUKI 250 POINTS TOTAL Math 141 Name: FINAL (CHAPTERS 7-9) MATH 141 SPRING 2018 KUNIYUKI 250 POINTS TOTAL Show all work, simplify as appropriate, and use good form and procedure (as in class). Box in your final answers! No notes

More information

Chapter 2. Systems of Equations and Augmented Matrices. Creighton University

Chapter 2. Systems of Equations and Augmented Matrices. Creighton University Chapter Section - Systems of Equations and Augmented Matrices D.S. Malik Creighton University Systems of Linear Equations Common ways to solve a system of equations: Eliminationi Substitution Elimination

More information

System of Linear Equations. Slide for MA1203 Business Mathematics II Week 1 & 2

System of Linear Equations. Slide for MA1203 Business Mathematics II Week 1 & 2 System of Linear Equations Slide for MA1203 Business Mathematics II Week 1 & 2 Function A manufacturer would like to know how his company s profit is related to its production level. How does one quantity

More information

Elementary Linear Algebra

Elementary Linear Algebra Elementary Linear Algebra Linear algebra is the study of; linear sets of equations and their transformation properties. Linear algebra allows the analysis of; rotations in space, least squares fitting,

More information

I am trying to keep these lessons as close to actual class room settings as possible.

I am trying to keep these lessons as close to actual class room settings as possible. Greetings: I am trying to keep these lessons as close to actual class room settings as possible. They do not intend to replace the text book actually they will involve the text book. An advantage of a

More information

10. Rank-nullity Definition Let A M m,n (F ). The row space of A is the span of the rows. The column space of A is the span of the columns.

10. Rank-nullity Definition Let A M m,n (F ). The row space of A is the span of the rows. The column space of A is the span of the columns. 10. Rank-nullity Definition 10.1. Let A M m,n (F ). The row space of A is the span of the rows. The column space of A is the span of the columns. The nullity ν(a) of A is the dimension of the kernel. The

More information

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

Midterm 1 Review. Written by Victoria Kala SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015 Midterm 1 Review Written by Victoria Kala vtkala@math.ucsb.edu SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015 Summary This Midterm Review contains notes on sections 1.1 1.5 and 1.7 in your

More information

MATH 1003 Review: Part 2. Matrices. MATH 1003 Review: Part 2. Matrices

MATH 1003 Review: Part 2. Matrices. MATH 1003 Review: Part 2. Matrices Matrices (Ch.4) (i) System of linear equations in 2 variables (L.5, Ch4.1) Find solutions by graphing Supply and demand curve (ii) Basic ideas about Matrices (L.6, Ch4.2) To know a matrix Row operation

More information

Lecture 1 Systems of Linear Equations and Matrices

Lecture 1 Systems of Linear Equations and Matrices Lecture 1 Systems of Linear Equations and Matrices Math 19620 Outline of Course Linear Equations and Matrices Linear Transformations, Inverses Bases, Linear Independence, Subspaces Abstract Vector Spaces

More information

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

Elementary matrices, continued. To summarize, we have identified 3 types of row operations and their corresponding Elementary matrices, continued To summarize, we have identified 3 types of row operations and their corresponding elementary matrices. If you check the previous examples, you ll find that these matrices

More information

Math 51, Homework-2 Solutions

Math 51, Homework-2 Solutions SSEA Summer 27 Math 5, Homework-2 Solutions Write the parametric equation of the plane that contains the following point and line: 3 2, 4 2 + t 3 t R 5 4 By substituting t = and t =, we get two points

More information

Extra Problems: Chapter 1

Extra Problems: Chapter 1 MA131 (Section 750002): Prepared by Asst.Prof.Dr.Archara Pacheenburawana 1 Extra Problems: Chapter 1 1. In each of the following answer true if the statement is always true and false otherwise in the space

More information

Math 344 Lecture # Linear Systems

Math 344 Lecture # Linear Systems Math 344 Lecture #12 2.7 Linear Systems Through a choice of bases S and T for finite dimensional vector spaces V (with dimension n) and W (with dimension m), a linear equation L(v) = w becomes the linear

More information

LECTURES 4/5: SYSTEMS OF LINEAR EQUATIONS

LECTURES 4/5: SYSTEMS OF LINEAR EQUATIONS LECTURES 4/5: SYSTEMS OF LINEAR EQUATIONS MA1111: LINEAR ALGEBRA I, MICHAELMAS 2016 1 Linear equations We now switch gears to discuss the topic of solving linear equations, and more interestingly, systems

More information

GAUSSIAN ELIMINATION AND LU DECOMPOSITION (SUPPLEMENT FOR MA511)

GAUSSIAN ELIMINATION AND LU DECOMPOSITION (SUPPLEMENT FOR MA511) GAUSSIAN ELIMINATION AND LU DECOMPOSITION (SUPPLEMENT FOR MA511) D. ARAPURA Gaussian elimination is the go to method for all basic linear classes including this one. We go summarize the main ideas. 1.

More information

SECTION 5.1: Polynomials

SECTION 5.1: Polynomials 1 SECTION 5.1: Polynomials Functions Definitions: Function, Independent Variable, Dependent Variable, Domain, and Range A function is a rule that assigns to each input value x exactly output value y =

More information

Lecture Notes: Solving Linear Systems with Gauss Elimination

Lecture Notes: Solving Linear Systems with Gauss Elimination Lecture Notes: Solving Linear Systems with Gauss Elimination Yufei Tao Department of Computer Science and Engineering Chinese University of Hong Kong taoyf@cse.cuhk.edu.hk 1 Echelon Form and Elementary

More information

Chapter 4: Radicals and Complex Numbers

Chapter 4: Radicals and Complex Numbers Chapter : Radicals and Complex Numbers Section.1: A Review of the Properties of Exponents #1-: Simplify the expression. 1) x x ) z z ) a a ) b b ) 6) 7) x x x 8) y y y 9) x x y 10) y 8 b 11) b 7 y 1) y

More information

7.5 Operations with Matrices. Copyright Cengage Learning. All rights reserved.

7.5 Operations with Matrices. Copyright Cengage Learning. All rights reserved. 7.5 Operations with Matrices Copyright Cengage Learning. All rights reserved. What You Should Learn Decide whether two matrices are equal. Add and subtract matrices and multiply matrices by scalars. Multiply

More information

Class VIII Chapter 1 Rational Numbers Maths. Exercise 1.1

Class VIII Chapter 1 Rational Numbers Maths. Exercise 1.1 Question 1: Using appropriate properties find: Exercise 1.1 (By commutativity) Page 1 of 11 Question 2: Write the additive inverse of each of the following: (iii) (iv) (v) Additive inverse = Additive inverse

More information

INVERSE OF A MATRIX [2.2]

INVERSE OF A MATRIX [2.2] INVERSE OF A MATRIX [2.2] The inverse of a matrix: Introduction We have a mapping from R n to R n represented by a matrix A. Can we invert this mapping? i.e. can we find a matrix (call it B for now) such

More information

College Algebra. Chapter 6. Mary Stangler Center for Academic Success

College Algebra. Chapter 6. Mary Stangler Center for Academic Success College Algebra Chapter 6 Note: This review is composed of questions similar to those in the chapter review at the end of chapter 6. This review is meant to highlight basic concepts from chapter 6. It

More information

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

Review for Exam Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions. Review for Exam. Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions. x + y z = 2 x + 2y + z = 3 x + y + (a 2 5)z = a 2 The augmented matrix for

More information

Dependent ( ) Independent (1 or Ø) These lines coincide so they are a.k.a coincident.

Dependent ( ) Independent (1 or Ø) These lines coincide so they are a.k.a coincident. Notes #3- Date: 7.1 Solving Systems of Two Equations (568) The solution to a system of linear equations is the ordered pair (x, y) where the lines intersect! A solution can be substituted into both equations

More information

Chapter 6 Page 1 of 10. Lecture Guide. Math College Algebra Chapter 6. to accompany. College Algebra by Julie Miller

Chapter 6 Page 1 of 10. Lecture Guide. Math College Algebra Chapter 6. to accompany. College Algebra by Julie Miller Chapter 6 Page 1 of 10 Lecture Guide Math 105 - College Algebra Chapter 6 to accompany College Algebra by Julie Miller Corresponding Lecture Videos can be found at Prepared by Stephen Toner & Nichole DuBal

More information

The matrix will only be consistent if the last entry of row three is 0, meaning 2b 3 + b 2 b 1 = 0.

The matrix will only be consistent if the last entry of row three is 0, meaning 2b 3 + b 2 b 1 = 0. ) Find all solutions of the linear system. Express the answer in vector form. x + 2x + x + x 5 = 2 2x 2 + 2x + 2x + x 5 = 8 x + 2x + x + 9x 5 = 2 2 Solution: Reduce the augmented matrix [ 2 2 2 8 ] to

More information

Row Reduced Echelon Form

Row Reduced Echelon Form Math 40 Row Reduced Echelon Form Solving systems of linear equations lies at the heart of linear algebra. In high school we learn to solve systems in or variables using elimination and substitution of

More information

FINAL (CHAPTERS 7-10) MATH 141 FALL 2018 KUNIYUKI 250 POINTS TOTAL

FINAL (CHAPTERS 7-10) MATH 141 FALL 2018 KUNIYUKI 250 POINTS TOTAL Math 141 Name: FINAL (CHAPTERS 7-10) MATH 141 FALL 2018 KUNIYUKI 250 POINTS TOTAL Show all work, simplify as appropriate, and use good form and procedure (as in class). Box in your final answers! No notes

More information

Systems of Equations and Inequalities. College Algebra

Systems of Equations and Inequalities. College Algebra Systems of Equations and Inequalities College Algebra System of Linear Equations There are three types of systems of linear equations in two variables, and three types of solutions. 1. An independent system

More information

Math 1314 College Algebra 7.6 Solving Systems with Gaussian Elimination (Gauss-Jordan Elimination)

Math 1314 College Algebra 7.6 Solving Systems with Gaussian Elimination (Gauss-Jordan Elimination) Math 1314 College Algebra 7.6 Solving Systems with Gaussian Elimination (Gauss-Jordan Elimination) A matrix is an ordered rectangular array of numbers. Size is m x n Denoted by capital letters. Entries

More information

Introduction to Systems of Equations

Introduction to Systems of Equations Introduction to Systems of Equations Introduction A system of linear equations is a list of m linear equations in a common set of variables x, x,, x n. a, x + a, x + Ù + a,n x n = b a, x + a, x + Ù + a,n

More information

Math 2940: Prelim 1 Practice Solutions

Math 2940: Prelim 1 Practice Solutions Math 294: Prelim Practice Solutions x. Find all solutions x = x 2 x 3 to the following system of equations: x 4 2x + 4x 2 + 2x 3 + 2x 4 = 6 x + 2x 2 + x 3 + x 4 = 3 3x 6x 2 + x 3 + 5x 4 = 5 Write your

More information

Matrix Factorization Reading: Lay 2.5

Matrix Factorization Reading: Lay 2.5 Matrix Factorization Reading: Lay 2.5 October, 20 You have seen that if we know the inverse A of a matrix A, we can easily solve the equation Ax = b. Solving a large number of equations Ax = b, Ax 2 =

More information

Precalculus Table of Contents Unit 1 : Algebra Review Lesson 1: (For worksheet #1) Factoring Review Factoring Using the Distributive Laws Factoring

Precalculus Table of Contents Unit 1 : Algebra Review Lesson 1: (For worksheet #1) Factoring Review Factoring Using the Distributive Laws Factoring Unit 1 : Algebra Review Factoring Review Factoring Using the Distributive Laws Factoring Trinomials Factoring the Difference of Two Squares Factoring Perfect Square Trinomials Factoring the Sum and Difference

More information

Lecture 3: Gaussian Elimination, continued. Lecture 3: Gaussian Elimination, continued

Lecture 3: Gaussian Elimination, continued. Lecture 3: Gaussian Elimination, continued Definition The process of solving a system of linear equations by converting the system to an augmented matrix is called Gaussian Elimination. The general strategy is as follows: Convert the system of

More information

Example: 2x y + 3z = 1 5y 6z = 0 x + 4z = 7. Definition: Elementary Row Operations. Example: Type I swap rows 1 and 3

Example: 2x y + 3z = 1 5y 6z = 0 x + 4z = 7. Definition: Elementary Row Operations. Example: Type I swap rows 1 and 3 Math 0 Row Reduced Echelon Form Techniques for solving systems of linear equations lie at the heart of linear algebra. In high school we learn to solve systems with or variables using elimination and substitution

More information

Matrices. A matrix is a method of writing a set of numbers using rows and columns. Cells in a matrix can be referenced in the form.

Matrices. A matrix is a method of writing a set of numbers using rows and columns. Cells in a matrix can be referenced in the form. Matrices A matrix is a method of writing a set of numbers using rows and columns. 1 2 3 4 3 2 1 5 7 2 5 4 2 0 5 10 12 8 4 9 25 30 1 1 Reading Information from a Matrix Cells in a matrix can be referenced

More information

MATH-1420 Review Concepts (Haugen)

MATH-1420 Review Concepts (Haugen) MATH-40 Review Concepts (Haugen) Unit : Equations, Inequalities, Functions, and Graphs Rational Expressions Determine the domain of a rational expression Simplify rational expressions -factor and then

More information

Section Matrices and Systems of Linear Eqns.

Section Matrices and Systems of Linear Eqns. QUIZ: strings Section 14.3 Matrices and Systems of Linear Eqns. Remembering matrices from Ch.2 How to test if 2 matrices are equal Assume equal until proved wrong! else? myflag = logical(1) How to test

More information

The coordinates of the vertex of the corresponding parabola are p, q. If a > 0, the parabola opens upward. If a < 0, the parabola opens downward.

The coordinates of the vertex of the corresponding parabola are p, q. If a > 0, the parabola opens upward. If a < 0, the parabola opens downward. Mathematics 10 Page 1 of 8 Quadratic Relations in Vertex Form The expression y ax p q defines a quadratic relation in form. The coordinates of the of the corresponding parabola are p, q. If a > 0, the

More information

Section 6.3. Matrices and Systems of Equations

Section 6.3. Matrices and Systems of Equations Section 6.3 Matrices and Systems of Equations Introduction Definitions A matrix is a rectangular array of numbers. Definitions A matrix is a rectangular array of numbers. For example: [ 4 7 π 3 2 5 Definitions

More information

Ch 9/10/11/12 Exam Review

Ch 9/10/11/12 Exam Review Ch 9/0// Exam Review The vector v has initial position P and terminal point Q. Write v in the form ai + bj; that is, find its position vector. ) P = (4, 6); Q = (-6, -) Find the vertex, focus, and directrix

More information

40h + 15c = c = h

40h + 15c = c = h Chapter One Linear Systems I Solving Linear Systems Systems of linear equations are common in science and mathematics. These two examples from high school science [Onan] give a sense of how they arise.

More information

Chapter 3. Linear Equations. Josef Leydold Mathematical Methods WS 2018/19 3 Linear Equations 1 / 33

Chapter 3. Linear Equations. Josef Leydold Mathematical Methods WS 2018/19 3 Linear Equations 1 / 33 Chapter 3 Linear Equations Josef Leydold Mathematical Methods WS 2018/19 3 Linear Equations 1 / 33 Lineares Gleichungssystem System of m linear equations in n unknowns: a 11 x 1 + a 12 x 2 + + a 1n x n

More information

Lecture 12: Solving Systems of Linear Equations by Gaussian Elimination

Lecture 12: Solving Systems of Linear Equations by Gaussian Elimination Lecture 12: Solving Systems of Linear Equations by Gaussian Elimination Winfried Just, Ohio University September 22, 2017 Review: The coefficient matrix Consider a system of m linear equations in n variables.

More information

Math Week in Review #7

Math Week in Review #7 Math 166 Fall 2008 c Heather Ramsey Page 1 Math 166 - Week in Review #7 Section 4.3 - Gauss Elimination for Systems of Linear Equations When a system of linear equations has only two variables, each equation

More information