Row 2 is equal to -2 times row 1, therefore according to property 5 the determinant is zero, and the matrix is singular.
|
|
- Audrey Nichols
- 6 years ago
- Views:
Transcription
1 5 STK0 Assignment : Matri Algebra Part Section A: Homework Eercise H: Determinant of a Matri Do the following eercises on p78 of the tetbook: Memorandum H: No. b, f, 7a, 7c, 8e b. -(-6) - (-)(-) 0 6 f. 8 0 ()() + (0)() + (8)() - ()()() -(0)() - (8)() -0 7a. 6 8 Row is equal to - times row, therefore according to property 5 the determinant is zero, and the matri is singular. 7c All the elements of row are equal to zero, therefore according to property 6 the determinant is zero, and the matri is singular. 0 8e. A (coefficient matri is non-singular, therefore the system is solvable) A A 0 8 A
2 5 Eercise H: Application The supplier of television sets has shops in cities namely: Johannesburg, Cape Town and Durban. The sales of the television sets are summarized in the following table: TV-set City Type I Type II Type III Johannesburg 9 5 Cape Town Durban 5 The income (in R00) for each city, from the sales of these television sets, is as follows City Income (in R00) Johannesburg 7 Cape Town 68 Durban 70 Let: 9 5 S 8 6 0, N en E. Assume: The selling prices of each type of television set is the same for the cities S 00 en S Answer the following by making use of matri operations: a. Calculate the total number of televisions that the supplier has sold in each city. b. Calculate the selling price (in R00) for the different television sets. c. Calculate the total number of televisions that the supplier has sold from every type of television. d. Suppose that the sales in matri S doubled, then the matri of sales is given by 8 0 S 6 0. Determine the value of S 0 Memorandum H:. a. SE b. S N c. S E ( ) ( 7 0) d. S 00 S (Property of the determinant of a matri)
3 55 Section B: Practical Eercise P: Determinant of a Matri a. Enter matri A into cells B:D. (Figure ) b. Calculate the determinant of matri A by entering the following formula into cell B6: mdeterm(b:d) c. Press Enter. Figure : Formula Sheet Figure : Value Sheet Eercise P: Solving a system of linear equations by means of Cramer s Rule Solve the following system of linear equations by using Ecel. + 7 Refer to the formula worksheet (Figure ) and value worksheet (Figure ) given below when performing the tasks. a. Enter the coefficient matri and calculate its determinant. Enter the elements of the coefficient matri A into cells B:D. Calculate the determinant of A by entering the following formula into cell B: MDETERM(B:D) Since A 0 a unique solution for, and can be obtained. b. Enter the vector with constant terms into cells B7:B9. c. Enter the matrices used in the numerators of the equations used to solve, and. The elements of the matri in the numerator of the equation used to solve are entered into cells F:H. This matri is the same as A with the first column replaced by b, b and b. The elements of the matri in the numerator of the equation used to solve are entered into cells F7:H9. This matri is the same as A with the second column replaced by b, b and b. Finally, the elements of the matri in the numerator of the equation used to solve are entered into cells F:H. This matri is the same as A with the third column replaced by b, b and b. d. Calculate the determinants of the matrices in step (c) in cells J, J7 and J respectively. e. Find the solution of the system of linear equations. The formulas for solving, and are entered into cells B7:B9
4 Figure : Formula worksheet 56 Figure : Value worksheet Eercise P: The Inverse of a Matri a. Enter Matri A into cells B:D. Select cells B7:D9, the cells in which we want the inverse to appear. This is shown in Figure 5. b. Type the following formula: minverse(b:d). DO NOT PRESS ENTER. This step is shown in Figure 6. c. Press CTRL + SHIFT + ENTER and the array formula will be entered into each of the cells B7:D9 The result is shown in Figure 7.
5 57 Figure 5 Figure 6 Figure 7 Eercise P: Solving a System of Linear Equations by means of the Inverse Matri Approach Solve the following system of linear equations by using Ecel. 7 + where X A and 7 B Refer to the formula worksheet (Figure ) and value worksheet (Figure ) given below when performing the tasks. a. Enter the coefficient matri and calculate the inverse. Enter the matri into cells B:D. Select cells B7:D9 and enter the formula minverse(b:d). Press CTRL + SHIFT + ENTER. b. Enter the vector B with constant terms into cells B:B. c. Calculate the product B A. Selects cells B7:B9, the cells in which we want the product to appear. Type the following formula: mmult(b7:d9,b:b). Press CRTL + SHIFT + ENTER.
6 58 Figure 8: Formula Sheet Figure 9: Value Sheet Eercise P5: Solve the following system of linear equations by: a. Cramer s Rule b. Inverse Matri Approach r s + t 9 r t 7 r + t 5 Memorandum P5 r. s.89 t.67 Figure 0: Formula Sheet for Cramer s Rule
7 Figure : Formula Sheet for the Inverse Matri Approach 59 Section C: Typical Eam Questions Question The inverse matri of A is: Hint: Use the definition of an inverse matri. (A) (C) (E) (B) (D) 0 0 Questions to are based on the following information: The following table contains the number of subscribers (in thousand) at three cellular service providers across three regions for August 00: Region Service provider X Y Z A 0 70 B 5 5 C 68 The regional total income (in Rand) from service fees is: Region Income (in R000) A 5 70 B C Let 0 70 N 5 5, R and ( ) E. Assume: The monthly service fee (in Rand) of the service providers is the same across the regions.
8 Question The total number of subscribers per region is: 60 (A) NR (C) E (E) (B) NE N (D) R N E N Question The monthly service fee (in Rand) of each service provider is: (A) NR (B) R N (C) N E (D) N R (E) E N Question The following information is available in Ecel: Formula worksheet: Value worksheet:
9 The monthly service fee (in Rand) charged by service provider X is: (A) 0 (B) 0 (C) (D) 97 (E) Question 5 Which one of the following matrices is non-singular? (A) (C) (E) (B) (D) Question 6 Let A be a ( m n) matri and B be a ( n) Which one of the following is not true. (A) ca ( ca ij ) for every i and j (B) Matri A will be square if (C) It is possible to calculate BA A for i... m a ij (D) ( ) (E) BI IB B m n and j... n n matri. Question 7 Which one of the following is not a characteristic of a determinant of a matri? (A) A A' (B) Determinants are defined only for square matrices (C) The interchanging of any two rows (or any two columns) will alter the sign, but not the numerical value, of the determinant (D) If a row (or column) of a matri contains only zeros, then the value of the determinant is equal to zero (E) If one row (or column) is a multiple of another row (or column), the value of the determinant will be zero Memo: Q B, Q C, Q D, Q A, Q5 D Q6 C Q7 A
3. Replace any row by the sum of that row and a constant multiple of any other row.
Section. Solution of Linear Systems by Gauss-Jordan Method A matrix is an ordered rectangular array of numbers, letters, symbols or algebraic expressions. A matrix with m rows and n columns has size or
More informationInstruction: Operations with Matrices ( ) ( ) log 8 log 25 = If the corresponding elements do not equal, then the matrices are not equal.
7 Instruction: Operations with Matrices Two matrices are said to be equal if they have the same size and their corresponding elements are equal. For example, 3 ( ) ( ) ( ) ( ) log 8 log log log3 8 If the
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 informationMatrix Multiplication
3.2 Matrix Algebra Matrix Multiplication Example Foxboro Stadium has three main concession stands, located behind the south, north and west stands. The top-selling items are peanuts, hot dogs and soda.
More informationCambridge University Press Photocopying is restricted under law and this material must not be transferred to another party.
Coordinate geometry and matrices Chapter Objectives To revise: methods for solving linear equations methods for solving simultaneous linear equations finding the distance between two points finding the
More informationTopic 4: Matrices Reading: Jacques: Chapter 7, Section
Topic 4: Matrices Reading: Jacques: Chapter 7, Section 7.1-7.3 1. dding, sutracting and multiplying matrices 2. Matrix inversion 3. pplication: National Income Determination What is a matrix? Matrix is
More informationLectures on Linear Algebra for IT
Lectures on Linear Algebra for IT by Mgr Tereza Kovářová, PhD following content of lectures by Ing Petr Beremlijski, PhD Department of Applied Mathematics, VSB - TU Ostrava Czech Republic 3 Inverse Matrix
More informationSolutions 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 informationChapter 4. Systems of Linear Equations; Matrices. Opening Example. Section 1 Review: Systems of Linear Equations in Two Variables
Chapter 4 Systems of Linear Equations; Matrices Section 1 Review: Systems of Linear Equations in Two Variables Opening Example A restaurant serves two types of fish dinners- small for $5.99 and large for
More informationAlgebra I Final Study Guide
2011-2012 Algebra I Final Study Guide Short Answer Source: www.cityoforlando.net/public_works/stormwater/rain/rainfall.htm 1. For which one month period was the rate of change in rainfall amounts in Orlando
More information3.6 Determinants. 3.6 Determinants 1
3.6 Determinants 1 3.6 Determinants We said in Section 3.3 that a 2 2 matri a b c d is invertible if and only if its erminant, ad - bc, is nonzero, and we saw the erminant used in the formula for the inverse
More informationMath Studio College Algebra
Math 100 - Studio College Algebra Rekha Natarajan Kansas State University November 19, 2014 Systems of Equations Systems of Equations A system of equations consists of Systems of Equations A system of
More informationMATH 315 Linear Algebra Homework #1 Assigned: August 20, 2018
Homework #1 Assigned: August 20, 2018 Review the following subjects involving systems of equations and matrices from Calculus II. Linear systems of equations Converting systems to matrix form Pivot entry
More information7.2 Matrix Algebra. DEFINITION Matrix. D 21 a 22 Á a 2n. EXAMPLE 1 Determining the Order of a Matrix d. (b) The matrix D T has order 4 * 2.
530 CHAPTER 7 Systems and Matrices 7.2 Matrix Algebra What you ll learn about Matrices Matrix Addition and Subtraction Matrix Multiplication Identity and Inverse Matrices Determinant of a Square Matrix
More information8-15. Stop by or call (630)
To review the basics Matrices, what they represent, and how to find sum, scalar product, product, inverse, and determinant of matrices, watch the following set of YouTube videos. They are followed by several
More informationFormula for the inverse matrix. Cramer s rule. Review: 3 3 determinants can be computed expanding by any row or column
Math 20F Linear Algebra Lecture 18 1 Determinants, n n Review: The 3 3 case Slide 1 Determinants n n (Expansions by rows and columns Relation with Gauss elimination matrices: Properties) Formula for the
More informationMAC Learning Objectives. Learning Objectives (Cont.) Module 10 System of Equations and Inequalities II
MAC 1140 Module 10 System of Equations and Inequalities II Learning Objectives Upon completing this module, you should be able to 1. represent systems of linear equations with matrices. 2. transform a
More informationGeneral Mathematics 2018 Chapter 5 - Matrices
General Mathematics 2018 Chapter 5 - Matrices Key knowledge The concept of a matrix and its use to store, display and manipulate information. Types of matrices (row, column, square, zero, identity) and
More informationCLASS XII CBSE MATHEMATICS MATRICES 1 Mark/2 Marks Questions
CLASS XII CBSE MATHEMATICS MATRICES 1 Mark/ Marks Questions 1) How many matrices of order 3 x 3 are possible with each entry as 0 or 1? ) Write a square matrix of order, which is both symmetric and skewsymmetric.
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algebra 1.1 SYSTEMS OF LINEAR EQUATIONS LINEAR EQUATION,, 1 n A linear equation in the variables equation that can be written in the form a a a b 1 1 2 2 n n a a is an where
More informationExample. We can represent the information on July sales more simply as
CHAPTER 1 MATRICES, VECTORS, AND SYSTEMS OF LINEAR EQUATIONS 11 Matrices and Vectors In many occasions, we can arrange a number of values of interest into an rectangular array For example: Example We can
More informationDeterminants. We said in Section 3.3 that a 2 2 matrix a b. Determinant of an n n Matrix
3.6 Determinants We said in Section 3.3 that a 2 2 matri a b is invertible if and onl if its c d erminant, ad bc, is nonzero, and we saw the erminant used in the formula for the inverse of a 2 2 matri.
More informationMATRICES. a m,1 a m,n A =
MATRICES Matrices are rectangular arrays of real or complex numbers With them, we define arithmetic operations that are generalizations of those for real and complex numbers The general form a matrix of
More informationMath 60 PRACTICE Exam 2 Part I: No Calculator
Name: This practice exam covers questions from sections 2.7, 2.8, and 3. 3.5. Math 60 PRACTICE Exam 2 Part I: No Calculator Show all your work so that: someone who wanted to know how you found your answer
More informationMS Algebra A-F-IF-7 Ch. 6.3b Solving Real World Problems with the Point-Slope Form
MS Algebra A-F-IF-7 Ch. 6.3b Solving Real World Problems with the Point-Slope Form ALGEBRA SUPPORT (Homework) Solving Problems by Writing Equations in Point-Slope Form Title: 6.3b Apply Point-Slope Form
More informationReview of Linear Algebra
Review of Linear Algebra Dr Gerhard Roth COMP 40A Winter 05 Version Linear algebra Is an important area of mathematics It is the basis of computer vision Is very widely taught, and there are many resources
More informationMATH Mathematics for Agriculture II
MATH 10240 Mathematics for Agriculture II Academic year 2018 2019 UCD School of Mathematics and Statistics Contents Chapter 1. Linear Algebra 1 1. Introduction to Matrices 1 2. Matrix Multiplication 3
More informationJEE/BITSAT LEVEL TEST
JEE/BITSAT LEVEL TEST Booklet Code A/B/C/D Test Code : 00 Matrices & Determinants Answer Key/Hints Q. i 0 A =, then A A is equal to 0 i (a.) I (b.) -ia (c.) -I (d.) ia i 0 i 0 0 Sol. We have AA I 0 i 0
More informationChapter 4: Systems of Equations and Inequalities
Chapter 4: Systems of Equations and Inequalities 4.1 Systems of Equations A system of two linear equations in two variables x and y consist of two equations of the following form: Equation 1: ax + by =
More informationMathematics 13: Lecture 10
Mathematics 13: Lecture 10 Matrices Dan Sloughter Furman University January 25, 2008 Dan Sloughter (Furman University) Mathematics 13: Lecture 10 January 25, 2008 1 / 19 Matrices Recall: A matrix is a
More information33A Linear Algebra and Applications: Practice Final Exam - Solutions
33A Linear Algebra and Applications: Practice Final Eam - Solutions Question Consider a plane V in R 3 with a basis given by v = and v =. Suppose, y are both in V. (a) [3 points] If [ ] B =, find. (b)
More informationLesson 3: Networks and Matrix Arithmetic
Opening Exercise Suppose a subway line also connects the four cities. Here is the subway and bus line network. The bus routes connecting the cities are represented by solid lines, and the subway routes
More informationASSIGNMENT ON MATRICES AND DETERMINANTS (CBSE/NCERT/OTHERSTATE BOARDS). Write the orders of AB and BA. x y 2z w 5 3
1 If A = [a ij ] = is a matrix given by 4 1 3 A [a ] 5 7 9 6 ij 1 15 18 5 Write the order of A and find the elements a 4, a 34 Also, show that a 3 = a 3 + a 4 If A = 1 4 3 1 4 1 5 and B = Write the orders
More informationMath 360 Linear Algebra Fall Class Notes. a a a a a a. a a a
Math 360 Linear Algebra Fall 2008 9-10-08 Class Notes Matrices As we have already seen, a matrix is a rectangular array of numbers. If a matrix A has m columns and n rows, we say that its dimensions are
More informationMath 135 Intermediate Algebra. Homework 3 Solutions
Math Intermediate Algebra Homework Solutions October 6, 007.: Problems,, 7-. On the coordinate plane, plot the following coordinates.. Next to each point, write its coordinates Clock-wise from upper left:
More informationIB MATH SL Test Review 2.1
Name IB MATH SL Test Review 2.1 Date 1. A student measured the diameters of 80 snail shells. His results are shown in the following cumulative frequency graph. The lower quartile (LQ) is 14 mm and is marked
More information5-7 Solving Quadratic Inequalities. Holt Algebra 2
Example 1: Graphing Quadratic Inequalities in Two Variables Graph f(x) x 2 7x + 10. Step 1 Graph the parabola f(x) = x 2 7x + 10 with a solid curve. x f(x) 0 10 1 3 2 0 3-2 3.5-2.25 4-2 5 0 6 4 7 10 Example
More informationLinear Algebra, Vectors and Matrices
Linear Algebra, Vectors and Matrices Prof. Manuela Pedio 20550 Quantitative Methods for Finance August 2018 Outline of the Course Lectures 1 and 2 (3 hours, in class): Linear and non-linear functions on
More informationAlgebra & Trig. I. For example, the system. x y 2 z. may be represented by the augmented matrix
Algebra & Trig. 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 informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 1 x 2. x n 8 (4) 3 4 2
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS SYSTEMS OF EQUATIONS AND MATRICES Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
More informationORIE 6300 Mathematical Programming I August 25, Recitation 1
ORIE 6300 Mathematical Programming I August 25, 2016 Lecturer: Calvin Wylie Recitation 1 Scribe: Mateo Díaz 1 Linear Algebra Review 1 1.1 Independence, Spanning, and Dimension Definition 1 A (usually infinite)
More informationTOPIC III LINEAR ALGEBRA
[1] Linear Equations TOPIC III LINEAR ALGEBRA (1) Case of Two Endogenous Variables 1) Linear vs. Nonlinear Equations Linear equation: ax + by = c, where a, b and c are constants. 2 Nonlinear equation:
More informationMatrix multiplications that do row operations
May 6, 204 Matrix multiplications that do row operations page Matrix multiplications that do row operations Introduction We have yet to justify our method for finding inverse matrices using row operations:
More informationSCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BUSINESS MATHEMATICS / MATHEMATICAL ANALYSIS
SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BUSINESS MATHEMATICS / MATHEMATICAL ANALYSIS Unit Six Moses Mwale e-mail: moses.mwale@ictar.ac.zm BBA 120 Business Mathematics Contents Unit 6: Matrix Algebra
More informationMatrices and Determinants
Chapter1 Matrices and Determinants 11 INTRODUCTION Matrix means an arrangement or array Matrices (plural of matrix) were introduced by Cayley in 1860 A matrix A is rectangular array of m n numbers (or
More informationM 340L CS Homework Set 1
M 340L CS Homework Set 1 Solve each system in Problems 1 6 by using elementary row operations on the equations or on the augmented matri. Follow the systematic elimination procedure described in Lay, Section
More informationMath 320, spring 2011 before the first midterm
Math 320, spring 2011 before the first midterm Typical Exam Problems 1 Consider the linear system of equations 2x 1 + 3x 2 2x 3 + x 4 = y 1 x 1 + 3x 2 2x 3 + 2x 4 = y 2 x 1 + 2x 3 x 4 = y 3 where x 1,,
More informationMTH 2032 Semester II
MTH 232 Semester II 2-2 Linear Algebra Reference Notes Dr. Tony Yee Department of Mathematics and Information Technology The Hong Kong Institute of Education December 28, 2 ii Contents Table of Contents
More informationMATRICES. Chapter Introduction. 3.2 Matrix. The essence of Mathematics lies in its freedom. CANTOR
56 Chapter 3 MATRICES The essence of Mathematics lies in its freedom. CANTOR 3.1 Introduction The knowledge of matrices is necessary in various branches of mathematics. Matrices are one of the most powerful
More informationMatrices: 2.1 Operations with Matrices
Goals In this chapter and section we study matrix operations: Define matrix addition Define multiplication of matrix by a scalar, to be called scalar multiplication. Define multiplication of two matrices,
More informationLinear Systems and Matrices. Copyright Cengage Learning. All rights reserved.
7 Linear Systems and Matrices Copyright Cengage Learning. All rights reserved. 7.1 Solving Systems of Equations Copyright Cengage Learning. All rights reserved. What You Should Learn Use the methods of
More informationcourses involve systems of equations in one way or another.
Another Tool in the Toolbox Solving Matrix Equations.4 Learning Goals In this lesson you will: Determine the inverse of a matrix. Use matrices to solve systems of equations. Key Terms multiplicative identity
More informationTutorial 1: Linear Algebra
Tutorial : Linear Algebra ECOF. Suppose p + x q, y r If x y, find p, q, r.. Which of the following sets of vectors are linearly dependent? [ ] [ ] [ ] (a),, (b),, (c),, 9 (d) 9,,. Let Find A [ ], B [ ]
More informationMath 2331 Linear Algebra
2.2 The Inverse of a Matrix Math 2331 Linear Algebra 2.2 The Inverse of a Matrix Shang-Huan Chiu Department of Mathematics, University of Houston schiu@math.uh.edu math.uh.edu/ schiu/ Shang-Huan Chiu,
More informationMath 112 Spring 2018 Midterm 1 Review Problems Page 1
Math Spring 8 Midterm Review Problems Page Note: Certain eam questions have been more challenging for students. Questions marked (***) are similar to those challenging eam questions.. Which one of the
More informationMatrix Algebra. Matrix Algebra. Chapter 8 - S&B
Chapter 8 - S&B Algebraic operations Matrix: The size of a matrix is indicated by the number of its rows and the number of its columns. A matrix with k rows and n columns is called a k n matrix. The number
More informationHonors Advanced Mathematics Determinants page 1
Determinants page 1 Determinants For every square matrix A, there is a number called the determinant of the matrix, denoted as det(a) or A. Sometimes the bars are written just around the numbers of the
More informationPOLI270 - Linear Algebra
POLI7 - Linear Algebra Septemer 8th Basics a x + a x +... + a n x n b () is the linear form where a, b are parameters and x n are variables. For a given equation such as x +x you only need a variable and
More informationINSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES
1 CHAPTER 4 MATRICES 1 INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES 1 Matrices Matrices are of fundamental importance in 2-dimensional and 3-dimensional graphics programming
More information2.6 Form Follows Function
2.6 Form Follows Function A Practice Understanding Task In our work so far, we have worked with linear and exponential equations in many forms. Some of the forms of equations and their names are: CC BY
More informationLinear Algebra: Lecture Notes. Dr Rachel Quinlan School of Mathematics, Statistics and Applied Mathematics NUI Galway
Linear Algebra: Lecture Notes Dr Rachel Quinlan School of Mathematics, Statistics and Applied Mathematics NUI Galway November 6, 23 Contents Systems of Linear Equations 2 Introduction 2 2 Elementary Row
More informationSystems and Matrices CHAPTER 7
CHAPTER 7 Systems and Matrices 7.1 Solving Systems of Two Equations 7.2 Matrix Algebra 7.3 Multivariate Linear Systems and Row Operations 7.4 Partial Fractions 7.5 Systems of Inequalities in Two Variables
More informationEvaluating Determinants by Row Reduction
Evaluating Determinants by Row Reduction MATH 322, Linear Algebra I J. Robert Buchanan Department of Mathematics Spring 2015 Objectives Reduce a matrix to row echelon form and evaluate its determinant.
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 informationFinite Math - J-term Section Systems of Linear Equations in Two Variables Example 1. Solve the system
Finite Math - J-term 07 Lecture Notes - //07 Homework Section 4. - 9, 0, 5, 6, 9, 0,, 4, 6, 0, 50, 5, 54, 55, 56, 6, 65 Section 4. - Systems of Linear Equations in Two Variables Example. Solve the system
More informationModeling with Functions
Name Class 3.3 Date Modeling with Functions Essential Question: What is function notation and how can you use functions to model real-world situations? Resource Locker Explore 1 Identifying Independent
More informationLinear Algebra The Inverse of a Matrix
Linear Algebra The Inverse of a Matrix Dr. Bisher M. Iqelan biqelan@iugaza.edu.ps Department of Mathematics The Islamic University of Gaza 2017-2018, Semester 2 Dr. Bisher M. Iqelan (IUG) Sec.2.2: The
More informationCHAPTER 8 Quadratic Equations, Functions, and Inequalities
CHAPTER Quadratic Equations, Functions, and Inequalities Section. Solving Quadratic Equations: Factoring and Special Forms..................... 7 Section. Completing the Square................... 9 Section.
More informationLinear Algebra V = T = ( 4 3 ).
Linear Algebra Vectors A column vector is a list of numbers stored vertically The dimension of a column vector is the number of values in the vector W is a -dimensional column vector and V is a 5-dimensional
More informationReview of Linear Algebra
Review of Linear Algebra Definitions An m n (read "m by n") matrix, is a rectangular array of entries, where m is the number of rows and n the number of columns. 2 Definitions (Con t) A is square if m=
More informationM112 Short Course In Calculus V. J. Motto Spring 2013 Applications of Derivatives Worksheet
M11 Short Course In Calculus V. J. Motto Spring 01 Applications of Derivatives Worksheet 1. A tomato is thrown from the top of a tomato cart its distance from the ground in feet is modeled by the equation
More informationUNIT 3 MATRICES - II
Algebra - I UNIT 3 MATRICES - II Structure 3.0 Introduction 3.1 Objectives 3.2 Elementary Row Operations 3.3 Rank of a Matrix 3.4 Inverse of a Matrix using Elementary Row Operations 3.5 Answers to Check
More information. =. a i1 x 1 + a i2 x 2 + a in x n = b i. a 11 a 12 a 1n a 21 a 22 a 1n. i1 a i2 a in
Vectors and Matrices Continued Remember that our goal is to write a system of algebraic equations as a matrix equation. Suppose we have the n linear algebraic equations a x + a 2 x 2 + a n x n = b a 2
More informationPreAP Algebra 2 Unit 1 and Unit 2 Review Name A#
PreAP Algebra Unit and Unit Review Name A# Domain and Range:. The graph of the square root function f is shown below. - - - - - - - - - - Interval Notation Domain: Range: Inequalit Notation Domain: Range:.
More informationEx 3: 5.01,5.08,6.04,6.05,6.06,6.07,6.12
Advanced Math: Linear Algebra Overview Ex 3: 5.01,5.08,6.04,6.05,6.06,6.07,6.12 Exeter 3 We will do selected problems, relatively few and spread out, primarily as matrices relate to transformations. Haese
More informationVectors and matrices: matrices (Version 2) This is a very brief summary of my lecture notes.
Vectors and matrices: matrices (Version 2) This is a very brief summary of my lecture notes Matrices and linear equations A matrix is an m-by-n array of numbers A = a 11 a 12 a 13 a 1n a 21 a 22 a 23 a
More informationLecture 6: Geometry of OLS Estimation of Linear Regession
Lecture 6: Geometry of OLS Estimation of Linear Regession Xuexin Wang WISE Oct 2013 1 / 22 Matrix Algebra An n m matrix A is a rectangular array that consists of nm elements arranged in n rows and m columns
More informationStandards Lesson Notes
8.2 Add and Subtract Polynomials ink.notebook Page 61 page 62 8.2 Add and Subtract Polynomials Lesson Objectives Standards Lesson Objectives Standards Lesson Notes Lesson Notes A.SSE.2 I will rewrite a
More informationECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 12, 2009 Luo, Y. (SEF of HKU) MME January 12, 2009 1 / 35 Course Outline Economics: The study of the choices people (consumers,
More informationChapter 2: Systems of Linear Equations and Matrices
Chapter 2: Systems of Linear Equations and Matrices 2.1 Systems Linear Equations: An Introduction Example Find the solution to the system of equations 2x y = 2 3x + 5y = 15 Solve first equation for y :
More informationCS100: DISCRETE STRUCTURES. Lecture 3 Matrices Ch 3 Pages:
CS100: DISCRETE STRUCTURES Lecture 3 Matrices Ch 3 Pages: 246-262 Matrices 2 Introduction DEFINITION 1: A matrix is a rectangular array of numbers. A matrix with m rows and n columns is called an m x n
More informationCh 5 Alg 2 L2 Note Sheet Key Do Activity 1 on your Ch 5 Activity Sheet.
Ch Alg L Note Sheet Ke Do Activit 1 on our Ch Activit Sheet. Chapter : Quadratic Equations and Functions.1 Modeling Data With Quadratic Functions You had three forms for linear equations, ou will have
More informationJUST THE MATHS SLIDES NUMBER 9.3. MATRICES 3 (Matrix inversion & simultaneous equations) A.J.Hobson
JUST THE MATHS SLIDES NUMBER 93 MATRICES 3 (Matrix inversion & simultaneous equations) by AJHobson 93 Introduction 932 Matrix representation of simultaneous linear equations 933 The definition of a multiplicative
More informationCOMPUTING AND DATA ANALYSIS WITH EXCEL. Matrix manipulation and systems of linear equations
COMPUTING AND DATA ANALYSIS WITH EXCEL Matrix manipulation and systems of linear equations Outline 1 Matrices Addition Subtraction Excel functions that return more than one cell Solving systems of linear
More informationLesson 25 Solving Linear Trigonometric Equations
Lesson 25 Solving Linear Trigonometric Equations IB Math HL - Santowski EXPLAIN the difference between the following 2 equations: (a) Solve sin(x) = 0.75 (b) Solve sin -1 (0.75) = x Now, use you calculator
More informationAlgebra 2 Matrices. Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find.
Algebra 2 Matrices Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find. Evaluate the determinant of the matrix. 2. 3. A matrix contains 48 elements.
More informationAnalyzing Functions Maximum & Minimum Points Lesson 75
(A) Lesson Objectives a. Understand what is meant by the term extrema as it relates to functions b. Use graphic and algebraic methods to determine extrema of a function c. Apply the concept of extrema
More informationMTH 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 informationMatrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices
Matrices A. Fabretti Mathematics 2 A.Y. 2015/2016 Table of contents Matrix Algebra Determinant Inverse Matrix Introduction A matrix is a rectangular array of numbers. The size of a matrix is indicated
More informationPerform Basic Matrix Operations
TEKS 3.5 a.1, a. Perform Basic Matrix Operations Before You performed operations with real numbers. Now You will perform operations with matrices. Why? So you can organize sports data, as in Ex. 34. Key
More informationA 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 informationFoundations of Math. Chapter 3 Packet. Table of Contents
Foundations of Math Chapter 3 Packet Name: Table of Contents Notes #43 Solving Systems by Graphing Pg. 1-4 Notes #44 Solving Systems by Substitution Pg. 5-6 Notes #45 Solving by Graphing & Substitution
More informationYou solved systems of equations algebraically and represented data using matrices. (Lessons 0-5 and 0-6)
You solved systems of equations algebraically and represented data using matrices. (Lessons 0-5 and 0-6) Solve systems of linear equations using matrices and Gaussian elimination. Solve systems of linear
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 2) A) Not defined B) - 2 5
Stud Guide for TEST I Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the slope of the line passing through the given pair of points. )
More informationA 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 informationMAT 1332: CALCULUS FOR LIFE SCIENCES. Contents. 1. Review: Linear Algebra II Vectors and matrices Definition. 1.2.
MAT 1332: CALCULUS FOR LIFE SCIENCES JING LI Contents 1 Review: Linear Algebra II Vectors and matrices 1 11 Definition 1 12 Operations 1 2 Linear Algebra III Inverses and Determinants 1 21 Inverse Matrices
More informationElementary Row Operations on Matrices
King Saud University September 17, 018 Table of contents 1 Definition A real matrix is a rectangular array whose entries are real numbers. These numbers are organized on rows and columns. An m n matrix
More information7.4. The Inverse of a Matrix. Introduction. Prerequisites. Learning Outcomes
The Inverse of a Matrix 7.4 Introduction In number arithmetic every number a 0has a reciprocal b written as a or such that a ba = ab =. Similarly a square matrix A may have an inverse B = A where AB =
More informationECON 186 Class Notes: Linear Algebra
ECON 86 Class Notes: Linear Algebra Jijian Fan Jijian Fan ECON 86 / 27 Singularity and Rank As discussed previously, squareness is a necessary condition for a matrix to be nonsingular (have an inverse).
More informationNumerical Analysis Fall. Gauss Elimination
Numerical Analysis 2015 Fall Gauss Elimination Solving systems m g g m m g x x x k k k k k k k k k 3 2 1 3 2 1 3 3 3 2 3 2 2 2 1 0 0 Graphical Method For small sets of simultaneous equations, graphing
More information