Chapter Practice Test Name: Period: Date:
|
|
- Homer Riley
- 5 years ago
- Views:
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
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 information9.1 - 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 informationSection 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 informationGauss-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 informationSystems 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 informationMath 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 informationChapter 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 informationExercise 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 informationSOLVING 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 information5x 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 informationSolving 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 informationLinear 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 informationLinear 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 informationPerform 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 information3.4 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 informationCHAPTER 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 informationDM559 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 informationLinear 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 informationSection 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 informationInverting 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 informationSection 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 informationNumber 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 informationIf 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 informationChapter 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 informationMatrices 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 information4 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 informationSolving 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 informationMatrix 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 informationCHAPTER 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 informationWeek 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 informationMethods 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 informationChapter 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 information4 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 informationLecture 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 information6-1 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 informationPolynomial 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 informationCHAPTER 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 informationProblem 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 informationLearning 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 informationPre-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 informationCHAPTER 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 informationSystem 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 informationThe 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 informationSolving 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 informationChapter 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 informationEXAM. 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 informationSections 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 informationMath 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 informationElementary 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 information1 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 information7.6 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 information10.3 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 informationChapter 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 informationChapter 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 informationFINAL (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 informationChapter 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 informationSystem 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 informationElementary 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 informationI 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 information10. 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 informationMidterm 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 informationMATH 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 informationLecture 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 informationElementary 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 informationMath 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 informationExtra 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 informationMath 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 informationLECTURES 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 informationGAUSSIAN 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 informationSECTION 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 informationLecture 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 informationChapter 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 information7.5 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 informationClass 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 informationINVERSE 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 informationCollege 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 informationReview 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 informationDependent ( ) 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 informationChapter 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 informationThe 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 informationRow 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 informationFINAL (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 informationSystems 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 informationMath 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 informationIntroduction 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 informationMath 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 informationMatrix 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 informationPrecalculus 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 informationLecture 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 informationExample: 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 informationMatrices. 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 informationMATH-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 informationSection 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 informationThe 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 informationSection 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 informationCh 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 information40h + 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 informationChapter 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 informationLecture 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 informationMath 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