MIDTERM 1 - SOLUTIONS
|
|
- Annabelle Harris
- 5 years ago
- Views:
Transcription
1 MIDTERM - SOLUTIONS MATH SUMMER KUNIYUKI CHAPTERS, 2, GRADED OUT OF 75 POINTS 2 50 POINTS TOTAL ) Use either Gaussian elimination with back-substitution or Gauss-Jordan elimination to solve the following system. You must use matrices, as we have done in class. Write your answer as an ordered triple of the form ( x, x2, x). (5 points) Ï4x - 4x2 + 4x 50 Ìx2 + 2x 90 Ó x - x2 + x 9 The given equations are already in Standard Form. Write the corresponding augmented matrix and use elementary row operations (EROs) to try to obtain an upper triangular matrix with ""s along the main diagonal and "0"s below. È Î We need a "" in the upper left corner. Let's switch Row and Row. R R È Î Now, turn the boldfaced "4" into a "0" by adding (-4) times Row to Row. New matrix: Old R (-4) R New R È Î
2 We need s along the main diagonal, so divide Row 2 through by, and divide Row through by 2. È Î Write the corresponding system. Ïx - x2 + x 9 Ì x2 + 4x 0 Ó x 7 We have x. Now, back-substitute to solve for x 2, then x. x 7 {( )} x2 + 4x 0 x ( ) 0 x x 2 2 x - x2 + x 9 x - ( 2) + ( 7) 9 x x x -0 Solution set: -0, 2, 7. You could check this in the original system. Note: If we had used Gauss-Jordan Elimination, we would have continued to apply EROs until we obtained the augmented matrix: È Î The solution can then be read off on the right-hand-side. 2) Consider the system (0 points total) Ï Ì Ó x + 2x2 - x4 6 x + x 7 4 a) Write the solution set of the system in parametric form, as we have done in class. The augmented matrix is already in reduced row-echelon (RRE) form: È 2 Î
3 Notice that columns 2 and 4 in the coefficient matrix do not have a "leading ", so x 2 and x 4 are free variables. The system is consistent, so there are infinitely many solutions. The system: Ïx + 2x2 - x4 6 Ì Ó x + x4 7 Move the free variables, x 2 and x 4, to the right side. Parametrization: Let x 2 t and x 4 u. Solution set in parametric form: where t, u are any real numbers. Ï x 6-2x + x Ì Óx 7 -x Ïx 6-2t + u x2 t Ì x 7 -u Ó x4 u b) Use part a) to find two particular solutions to the system. Note: There are infinitely many possible answers. Plug in any two pairs of numbers for t and u. For example: Plug in t 0 and u 0. We get (6, 0, 7, 0). Plug in t and u 0. We get (4,, 7, 0). È 2 ) Find the matrix product A T B where A - Î 0 (6 points) 0 4 È and B 0 Î The (i,j) entry of AB T is the dot product of row i of A T and column j of B. È2-0 Î A T È Î È Î- Answer 2 8
4 4) Find the inverse of the matrix (6 points) È Î 0 0 È Î I Reorder the rows so that the last row becomes the first row. È Î Rescale the rows so that we get the identity matrix on the left. Divide the top row by, the second row by 2, and the third row by 4. È Î / / / 4 0 5) Let A be the matrix È An LU-factorization of A is given by A LU, Î È 0 0 where L -2 0 Î 0 4 È2 0 and U 0 -. Î0 0 Use this LU-factorization to solve the following system Ï 2x + x - Ì- 4x + x2 - x 40 Ó 4x2 - x 29 (0 points)
5 Idea: Ax b LU{ x b y First, solve Ly b. È 0 0 È y -2 0 y Î 0 4 Î y 2 È- 40 Î 29 Write the corresponding system: Ï y - Ì- 2y + y2 40 Ó 4y2 + y 29 Using forward-substitution, we get: È y È- y y2 4 Î y Î - 27 Second, solve Ux y. È2 0 È x 0 - x Î 0 0 Î x 2 È- 4 Î -27 Write the corresponding system: Ï2x + x - Ì x2 - x 4 Ó x -27 Using back-substitution, we get our solution vector for the problem: È x È-2 x x2 5 Î x Î - 9
6 6) Find the determinants. (6 points total) a) (8 points) Let's expand along the second row, since it has the most zeros. Its only nonzero entry is the "2"; the corresponding sign from the sign matrix is "-" [or i+ j 2+ you could observe that (-) (-) (-) -]. To get the submatrix for the corresponding minor, we delete the row and the column containing the "2" ( ) ( ) { - 2 from sign matrix You could then use Sarrus's Rule or expansion by minors/cofactors to compute the determinant of the resulting matrix, which turns out to be -. Using Sarrus s Rule: Determinant of matrix ( ) Original determinant b) (6 points) Find the determinant by first reducing the matrix to triangular form. Turn the boldfaced "-4" into a "0" by adding Row to Row. Old R R New R 0 0
7 The row replacement operation does not change the determinant Now, switch Row 2 and Row 4. This will change the sign of the determinant To find the determinant of an upper triangular matrix, take the product of the main diagonal entries. -( 4)( 2)( )( 2) -48 c) (2 points) The determinant is 0, because two columns are identical.
8 TRUE or FALSE (2 points; points each) Circle "True" or "False" (as appropriate) for each statement below. You do not have to justify your answers. Remember that you must circle False if the statement is sometimes true, but sometimes false. Assume that n represents a positive integer. a) A homogeneous system of three linear equations in five unknowns (variables) must have infinitely many solutions. True False A homogeneous system of linear equations must be consistent. If we have more variables than equations, then we end up with a fat coefficient matrix, and we must have at least one free variable. Such a system must have infinitely many solutions. b) If A is an invertible n n real matrix, then Ax b is a consistent system for any n real vector b. True False This is part of the Invertible Matrix Theorem. In particular, Ax b has one unique solution, namely x A - b. ( ) c) If A and B are invertible n n matrices, then AB A B True False False. The correct statement is: AB ( ) B A ( ) ( ) - d) If A and B are invertible n n matrices, then det B AB det A. True False - B AB - B A B B A B The three factors are real numbers. Note: Bis invertible, so B is not 0. A
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 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 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 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 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 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 information1 - Systems of Linear Equations
1 - Systems of Linear Equations 1.1 Introduction to Systems of Linear Equations Almost every problem in linear algebra will involve solving a system of equations. ü LINEAR EQUATIONS IN n VARIABLES We are
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 informationMath 313 Chapter 1 Review
Math 313 Chapter 1 Review Howard Anton, 9th Edition May 2010 Do NOT write on me! Contents 1 1.1 Introduction to Systems of Linear Equations 2 2 1.2 Gaussian Elimination 3 3 1.3 Matrices and Matrix Operations
More 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 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 informationCHAPTER 8: MATRICES and DETERMINANTS
(Section 8.1: Matrices and Determinants) 8.01 CHAPTER 8: MATRICES and DETERMINANTS The material in this chapter will be covered in your Linear Algebra class (Math 254 at Mesa). SECTION 8.1: MATRICES and
More information1 Determinants. 1.1 Determinant
1 Determinants [SB], Chapter 9, p.188-196. [SB], Chapter 26, p.719-739. Bellow w ll study the central question: which additional conditions must satisfy a quadratic matrix A to be invertible, that is to
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 informationLemma 8: Suppose the N by N matrix A has the following block upper triangular form:
17 4 Determinants and the Inverse of a Square Matrix In this section, we are going to use our knowledge of determinants and their properties to derive an explicit formula for the inverse of a square matrix
More informationMAC1105-College Algebra. Chapter 5-Systems of Equations & Matrices
MAC05-College Algebra Chapter 5-Systems of Equations & Matrices 5. Systems of Equations in Two Variables Solving Systems of Two Linear Equations/ Two-Variable Linear Equations A system of equations is
More informationNotes on Row Reduction
Notes on Row Reduction Francis J. Narcowich Department of Mathematics Texas A&M University September The Row-Reduction Algorithm The row-reduced form of a matrix contains a great deal of information, both
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 informationMAC Module 3 Determinants. Learning Objectives. Upon completing this module, you should be able to:
MAC 2 Module Determinants Learning Objectives Upon completing this module, you should be able to:. Determine the minor, cofactor, and adjoint of a matrix. 2. Evaluate the determinant of a matrix by cofactor
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 informationName: MATH 3195 :: Fall 2011 :: Exam 2. No document, no calculator, 1h00. Explanations and justifications are expected for full credit.
Name: MATH 3195 :: Fall 2011 :: Exam 2 No document, no calculator, 1h00. Explanations and justifications are expected for full credit. 1. ( 4 pts) Say which matrix is in row echelon form and which is not.
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 informationMatrices and RRE Form
Matrices and RRE Form Notation R is the real numbers, C is the complex numbers (we will only consider complex numbers towards the end of the course) is read as an element of For instance, x R means that
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 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 informationMATH 213 Linear Algebra and ODEs Spring 2015 Study Sheet for Midterm Exam. Topics
MATH 213 Linear Algebra and ODEs Spring 2015 Study Sheet for Midterm Exam This study sheet will not be allowed during the test Books and notes will not be allowed during the test Calculators and cell phones
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 informationLinear Algebra Section 2.6 : LU Decomposition Section 2.7 : Permutations and transposes Wednesday, February 13th Math 301 Week #4
Linear Algebra Section. : LU Decomposition Section. : Permutations and transposes Wednesday, February 1th Math 01 Week # 1 The LU Decomposition We learned last time that we can factor a invertible matrix
More informationMATH2210 Notebook 2 Spring 2018
MATH2210 Notebook 2 Spring 2018 prepared by Professor Jenny Baglivo c Copyright 2009 2018 by Jenny A. Baglivo. All Rights Reserved. 2 MATH2210 Notebook 2 3 2.1 Matrices and Their Operations................................
More information5.7 Cramer's Rule 1. Using Determinants to Solve Systems Assumes the system of two equations in two unknowns
5.7 Cramer's Rule 1. Using Determinants to Solve Systems Assumes the system of two equations in two unknowns (1) possesses the solution and provided that.. The numerators and denominators are recognized
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 informationMODEL ANSWERS TO THE THIRD HOMEWORK
MODEL ANSWERS TO THE THIRD HOMEWORK 1 (i) We apply Gaussian elimination to A First note that the second row is a multiple of the first row So we need to swap the second and third rows 1 3 2 1 2 6 5 7 3
More informationFundamentals of Engineering Analysis (650163)
Philadelphia University Faculty of Engineering Communications and Electronics Engineering Fundamentals of Engineering Analysis (6563) Part Dr. Omar R Daoud Matrices: Introduction DEFINITION A matrix is
More informationLINEAR SYSTEMS, MATRICES, AND VECTORS
ELEMENTARY LINEAR ALGEBRA WORKBOOK CREATED BY SHANNON MARTIN MYERS LINEAR SYSTEMS, MATRICES, AND VECTORS Now that I ve been teaching Linear Algebra for a few years, I thought it would be great to integrate
More information22A-2 SUMMER 2014 LECTURE 5
A- SUMMER 0 LECTURE 5 NATHANIEL GALLUP Agenda Elimination to the identity matrix Inverse matrices LU factorization Elimination to the identity matrix Previously, we have used elimination to get a system
More informationMath 4A Notes. Written by Victoria Kala Last updated June 11, 2017
Math 4A Notes Written by Victoria Kala vtkala@math.ucsb.edu Last updated June 11, 2017 Systems of Linear Equations A linear equation is an equation that can be written in the form a 1 x 1 + a 2 x 2 +...
More 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 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 informationE k E k 1 E 2 E 1 A = B
Theorem.5. suggests that reducing a matrix A to (reduced) row echelon form is tha same as multiplying A from left by the appropriate elementary matrices. Hence if B is a matrix obtained from a matrix A
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 informationA Review of Matrix Analysis
Matrix Notation Part Matrix Operations Matrices are simply rectangular arrays of quantities Each quantity in the array is called an element of the matrix and an element can be either a numerical value
More informationMATH 2030: MATRICES. Example 0.2. Q:Define A 1 =, A. 3 4 A: We wish to find c 1, c 2, and c 3 such that. c 1 + c c
MATH 2030: MATRICES Matrix Algebra As with vectors, we may use the algebra of matrices to simplify calculations. However, matrices have operations that vectors do not possess, and so it will be of interest
More informationChapter 4. Solving Systems of Equations. Chapter 4
Solving Systems of Equations 3 Scenarios for Solutions There are three general situations we may find ourselves in when attempting to solve systems of equations: 1 The system could have one unique solution.
More information30.3. LU Decomposition. Introduction. Prerequisites. Learning Outcomes
LU Decomposition 30.3 Introduction In this Section we consider another direct method for obtaining the solution of systems of equations in the form AX B. Prerequisites Before starting this Section you
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 informationMatrices. In this chapter: matrices, determinants. inverse matrix
Matrices In this chapter: matrices, determinants inverse matrix 1 1.1 Matrices A matrix is a retangular array of numbers. Rows: horizontal lines. A = a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33 a 41 a
More informationNumerical Linear Algebra
Numerical Linear Algebra Direct Methods Philippe B. Laval KSU Fall 2017 Philippe B. Laval (KSU) Linear Systems: Direct Solution Methods Fall 2017 1 / 14 Introduction The solution of linear systems is one
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 informationMath Computation Test 1 September 26 th, 2016 Debate: Computation vs. Theory Whatever wins, it ll be Huuuge!
Math 5- Computation Test September 6 th, 6 Debate: Computation vs. Theory Whatever wins, it ll be Huuuge! Name: Answer Key: Making Math Great Again Be sure to show your work!. (8 points) Consider the following
More 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 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 informationLinear Algebra. Solving Linear Systems. Copyright 2005, W.R. Winfrey
Copyright 2005, W.R. Winfrey Topics Preliminaries Echelon Form of a Matrix Elementary Matrices; Finding A -1 Equivalent Matrices LU-Factorization Topics Preliminaries Echelon Form of a Matrix Elementary
More informationSolving Ax = b w/ different b s: LU-Factorization
Solving Ax = b w/ different b s: LU-Factorization Linear Algebra Josh Engwer TTU 14 September 2015 Josh Engwer (TTU) Solving Ax = b w/ different b s: LU-Factorization 14 September 2015 1 / 21 Elementary
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 informationReview of matrices. Let m, n IN. A rectangle of numbers written like A =
Review of matrices Let m, n IN. A rectangle of numbers written like a 11 a 12... a 1n a 21 a 22... a 2n A =...... a m1 a m2... a mn where each a ij IR is called a matrix with m rows and n columns or an
More informationCHAPTER 8: MATRICES and DETERMINANTS
(Section 8.1: Matrices and Determinants) 8.01 CHAPTER 8: MATRICES and DETERMINANTS The material in this chapter will be covered in your Linear Algebra class (Math 254 at Mesa). SECTION 8.1: MATRICES and
More informationMA 242 LINEAR ALGEBRA C1, Solutions to First Midterm Exam
MA 242 LINEAR ALGEBRA C Solutions to First Midterm Exam Prof Nikola Popovic October 2 9:am - :am Problem ( points) Determine h and k such that the solution set of x + = k 4x + h = 8 (a) is empty (b) contains
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 informationAPPENDIX: MATHEMATICAL INDUCTION AND OTHER FORMS OF PROOF
ELEMENTARY LINEAR ALGEBRA WORKBOOK/FOR USE WITH RON LARSON S TEXTBOOK ELEMENTARY LINEAR ALGEBRA CREATED BY SHANNON MARTIN MYERS APPENDIX: MATHEMATICAL INDUCTION AND OTHER FORMS OF PROOF When you are done
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 informationMath 22AL Lab #4. 1 Objectives. 2 Header. 0.1 Notes
Math 22AL Lab #4 0.1 Notes Green typewriter text represents comments you must type. Each comment is worth one point. Blue typewriter text represents commands you must type. Each command is worth one point.
More informationLinear Systems and Matrices
Department of Mathematics The Chinese University of Hong Kong 1 System of m linear equations in n unknowns (linear system) a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.......
More informationMATH 2360 REVIEW PROBLEMS
MATH 2360 REVIEW PROBLEMS Problem 1: In (a) (d) below, either compute the matrix product or indicate why it does not exist: ( )( ) 1 2 2 1 (a) 0 1 1 2 ( ) 0 1 2 (b) 0 3 1 4 3 4 5 2 5 (c) 0 3 ) 1 4 ( 1
More 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 informationis a 3 4 matrix. It has 3 rows and 4 columns. The first row is the horizontal row [ ]
Matrices: Definition: An m n matrix, A m n is a rectangular array of numbers with m rows and n columns: a, a, a,n a, a, a,n A m,n =...... a m, a m, a m,n Each a i,j is the entry at the i th row, j th column.
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 informationMath 250B Midterm I Information Fall 2018
Math 250B Midterm I Information Fall 2018 WHEN: Wednesday, September 26, in class (no notes, books, calculators I will supply a table of integrals) EXTRA OFFICE HOURS: Sunday, September 23 from 8:00 PM
More informationLinear Algebra Practice Problems
Math 7, Professor Ramras Linear Algebra Practice Problems () Consider the following system of linear equations in the variables x, y, and z, in which the constants a and b are real numbers. x y + z = a
More informationDigital Workbook for GRA 6035 Mathematics
Eivind Eriksen Digital Workbook for GRA 6035 Mathematics November 10, 2014 BI Norwegian Business School Contents Part I Lectures in GRA6035 Mathematics 1 Linear Systems and Gaussian Elimination........................
More information1 Last time: linear systems and row operations
1 Last time: linear systems and row operations Here s what we did last time: a system of linear equations or linear system is a list of equations a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22
More informationMath 240 Calculus III
The Calculus III Summer 2015, Session II Wednesday, July 8, 2015 Agenda 1. of the determinant 2. determinants 3. of determinants What is the determinant? Yesterday: Ax = b has a unique solution when A
More informationGaussian Elimination and Back Substitution
Jim Lambers MAT 610 Summer Session 2009-10 Lecture 4 Notes These notes correspond to Sections 31 and 32 in the text Gaussian Elimination and Back Substitution The basic idea behind methods for solving
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 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 information1 Last time: determinants
1 Last time: determinants Let n be a positive integer If A is an n n matrix, then its determinant is the number det A = Π(X, A)( 1) inv(x) X S n where S n is the set of n n permutation matrices Π(X, A)
More 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 informationNext topics: Solving systems of linear equations
Next topics: Solving systems of linear equations 1 Gaussian elimination (today) 2 Gaussian elimination with partial pivoting (Week 9) 3 The method of LU-decomposition (Week 10) 4 Iterative techniques:
More informationMODEL ANSWERS TO THE FIRST QUIZ. 1. (18pts) (i) Give the definition of a m n matrix. A m n matrix with entries in a field F is a function
MODEL ANSWERS TO THE FIRST QUIZ 1. (18pts) (i) Give the definition of a m n matrix. A m n matrix with entries in a field F is a function A: I J F, where I is the set of integers between 1 and m and J is
More informationLinear equations The first case of a linear equation you learn is in one variable, for instance:
Math 52 0 - Linear algebra, Spring Semester 2012-2013 Dan Abramovich Linear equations The first case of a linear equation you learn is in one variable, for instance: 2x = 5. We learned in school that this
More informationPresentation by: H. Sarper. Chapter 2 - Learning Objectives
Chapter Basic Linear lgebra to accompany Introduction to Mathematical Programming Operations Research, Volume, th edition, by Wayne L. Winston and Munirpallam Venkataramanan Presentation by: H. Sarper
More informationSystem of Linear Equations
Math 20F Linear Algebra Lecture 2 1 System of Linear Equations Slide 1 Definition 1 Fix a set of numbers a ij, b i, where i = 1,, m and j = 1,, n A system of m linear equations in n variables x j, is given
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algebra 1.1 SYSTEMS OF LINEAR EQUATIONS LINEAR EQUATION x 1,, x n A linear equation in the variables equation that can be written in the form a 1 x 1 + a 2 x 2 + + a n x n
More informationLecture Notes in Linear Algebra
Lecture Notes in Linear Algebra Dr. Abdullah Al-Azemi Mathematics Department Kuwait University February 4, 2017 Contents 1 Linear Equations and Matrices 1 1.2 Matrices............................................
More 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 informationLinear Algebra: Lecture notes from Kolman and Hill 9th edition.
Linear Algebra: Lecture notes from Kolman and Hill 9th edition Taylan Şengül March 20, 2019 Please let me know of any mistakes in these notes Contents Week 1 1 11 Systems of Linear Equations 1 12 Matrices
More informationGraduate Mathematical Economics Lecture 1
Graduate Mathematical Economics Lecture 1 Yu Ren WISE, Xiamen University September 23, 2012 Outline 1 2 Course Outline ematical techniques used in graduate level economics courses Mathematics for Economists
More informationCheat Sheet for MATH461
Cheat Sheet for MATH46 Here is the stuff you really need to remember for the exams Linear systems Ax = b Problem: We consider a linear system of m equations for n unknowns x,,x n : For a given matrix A
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 2174: Practice Midterm 1
Math 74: Practice Midterm Show your work and explain your reasoning as appropriate. No calculators. One page of handwritten notes is allowed for the exam, as well as one blank page of scratch paper.. Consider
More informationMath/CS 466/666: Homework Solutions for Chapter 3
Math/CS 466/666: Homework Solutions for Chapter 3 31 Can all matrices A R n n be factored A LU? Why or why not? Consider the matrix A ] 0 1 1 0 Claim that this matrix can not be factored A LU For contradiction,
More informationSystems of Linear Equations. By: Tri Atmojo Kusmayadi and Mardiyana Mathematics Education Sebelas Maret University
Systems of Linear Equations By: Tri Atmojo Kusmayadi and Mardiyana Mathematics Education Sebelas Maret University Standard of Competency: Understanding the properties of systems of linear equations, matrices,
More informationCHAPTER 6. Direct Methods for Solving Linear Systems
CHAPTER 6 Direct Methods for Solving Linear Systems. Introduction A direct method for approximating the solution of a system of n linear equations in n unknowns is one that gives the exact solution to
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 informationMatrices and systems of linear equations
Matrices and systems of linear equations Samy Tindel Purdue University Differential equations and linear algebra - MA 262 Taken from Differential equations and linear algebra by Goode and Annin Samy T.
More informationThe value of a problem is not so much coming up with the answer as in the ideas and attempted ideas it forces on the would be solver I.N.
Math 410 Homework Problems In the following pages you will find all of the homework problems for the semester. Homework should be written out neatly and stapled and turned in at the beginning of class
More informationMath x + 3y 5z = 14 3x 2y + 3z = 17 4x + 3y 2z = 1
Math 210 1. Solve the system: x + y + z = 1 2x + 3y + 4z = 5 (a z = 2, y = 1 and x = 0 (b z =any value, y = 3 2z and x = z 2 (c z =any value, y = 3 2z and x = z + 2 (d z =any value, y = 3 + 2z and x =
More informationRelationships Between Planes
Relationships Between Planes Definition: consistent (system of equations) A system of equations is consistent if there exists one (or more than one) solution that satisfies the system. System 1: {, System
More information2.1 Gaussian Elimination
2. Gaussian Elimination A common problem encountered in numerical models is the one in which there are n equations and n unknowns. The following is a description of the Gaussian elimination method for
More informationLinear Systems. Math A Bianca Santoro. September 23, 2016
Linear Systems Math A4600 - Bianca Santoro September 3, 06 Goal: Understand how to solve Ax = b. Toy Model: Let s study the following system There are two nice ways of thinking about this system: x + y
More information