2. Linear Equations Objectives: 1.Introduction to Gaussian Elimination. 2. Using multiple row operations. 3. Exercise - let’s see if you can do it. Refs:

Slides:



Advertisements
Similar presentations
4.3 Matrix Approach to Solving Linear Systems 1 Linear systems were solved using substitution and elimination in the two previous section. This section.
Advertisements

Chapter 2 Simultaneous Linear Equations
Table of Contents Solving Linear Systems of Equations - Triangular Form Consider the following system of equations... The system is easily solved by starting.
3. Linear Equations Objectives: 1.Exercise - let’s see if you can do it! a)Overdetermined systems b)Underdetermined systems c)Geometric interpretation.
Matrices. Special Matrices Matrix Addition and Subtraction Example.
Chapter 1 Systems of Linear Equations
10.1 Gaussian Elimination Method
Solving System of Linear Equations. 1. Diagonal Form of a System of Equations 2. Elementary Row Operations 3. Elementary Row Operation 1 4. Elementary.
Linear Algebra – Linear Equations
Multivariate Linear Systems and Row Operations.
SYSTEMS OF LINEAR EQUATIONS
1 1.1 © 2012 Pearson Education, Inc. Linear Equations in Linear Algebra SYSTEMS OF LINEAR EQUATIONS.
8.1 Matrix Solutions to Linear Systems Veronica Fangzhu Xing 3 rd period.
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Review for Chapter 4 Important Terms, Symbols, Concepts 4.1. Systems of Linear Equations in Two Variables.
Matrices King Saud University. If m and n are positive integers, then an m  n matrix is a rectangular array in which each entry a ij of the matrix is.
AN INTRODUCTION TO ELEMENTARY ROW OPERATIONS Tools to Solve Matrices.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Sec 3.1 Introduction to Linear System Sec 3.2 Matrices and Gaussian Elemination The graph is a line in xy-plane The graph is a line in xyz-plane.
Math 201 for Management Students
1.1.2 INTRODUCTION TO SYSTEMS OF LINEAR EQUATIONS Chapter 1: Systems of Linear Equations and Matrices SWBAT: Redefine algebraic operations as Elementary.
Three variables Systems of Equations and Inequalities.
MATH 250 Linear Equations and Matrices
Row Reduction Method Lesson 6.4.
8.1 Matrices and Systems of Equations. Let’s do another one: we’ll keep this one Now we’ll use the 2 equations we have with y and z to eliminate the y’s.
Systems of Linear Equations Gaussian Elimination Types of Solutions Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB.
Chapter 6 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Solutions to Linear Systems.
Sec 3.2 Matrices and Gaussian Elemination Coefficient Matrix 3 x 3 Coefficient Matrix 3 x 3 Augmented Coefficient Matrix 3 x 4 Augmented Coefficient Matrix.
Matrix Solutions to Linear Systems. 1. Write the augmented matrix for each system of linear equations.
Chapter 11 Section 11.4 Solving Larger Systems of Equations.
Inverse Matrices and Systems
Chapter 1 Section 1.1 Introduction to Matrices and systems of Linear Equations.
MCV4U1 Matrices and Gaussian Elimination Matrix: A rectangular array (Rows x Columns) of real numbers. Examples: (3 x 3 Matrix) (3 x 2 Matrix) (2 x 2 Matrix)
Copyright © 2011 Pearson Education, Inc. Solving Linear Systems Using Matrices Section 6.1 Matrices and Determinants.
Matrices and Systems of Equations
Matrices and Systems of Linear Equations
Sullivan Algebra and Trigonometry: Section 12.3 Objectives of this Section Write the Augmented Matrix of a System of Linear Equations Write the System.
10.3 Systems of Linear Equations: Matrices. A matrix is defined as a rectangular array of numbers, Column 1Column 2 Column jColumn n Row 1 Row 2 Row 3.
10.2 Systems of Linear Equations: Matrices Objectives Objectives 1.Write the Augmented Matrix 2.Write the System from the Augmented matrix 3.Perform Row.
Matrices and Systems of Equations
Meeting 19 System of Linear Equations. Linear Equations A solution of a linear equation in n variables is a sequence of n real numbers s 1, s 2,..., s.
RECOGNIZING INCONSISTENT LINEAR SYSTEMS. What is an Inconsistent Linear System?  An inconsistent linear system is a system of equations that has no solutions.
Copyright ©2015 Pearson Education, Inc. All rights reserved.
Slide Copyright © 2009 Pearson Education, Inc. 7.4 Solving Systems of Equations by Using Matrices.
Chapter 5: Matrices and Determinants Section 5.5: Augmented Matrix Solutions.
Section 6.2 Solving Linear Equations Math in Our World.
Ch. 7 – Matrices and Systems of Equations 7.3 – Multivariable Linear Systems.
College Algebra Chapter 6 Matrices and Determinants and Applications
Multivariable Linear Systems and Row Operations
Use Inverse Matrices to Solve Linear Systems
Ch. 7 – Matrices and Systems of Equations
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Systems of linear equations
Gaussian Elimination and Gauss-Jordan Elimination
Solving Systems of Equations Using Matrices
Systems of Linear Equations
Chapter 8: Lesson 8.1 Matrices & Systems of Equations
Systems of Linear Equations
Solving Linear Systems Algebraically
Gaussian Elimination and Gauss-Jordan Elimination
Chapter 4 Systems of Linear Equations; Matrices
Systems of Linear Equations
Matrix Solutions to Linear Systems
RECORD. RECORD COLLABORATE: Discuss: Is the statement below correct? Try a 2x2 example.
Gaussian Elimination.
Systems of Linear Equations
Systems of Equations Solve by Graphing.
Chapter 4 Systems of Linear Equations; Matrices
Matrices are identified by their size.
Presentation transcript:

2. Linear Equations Objectives: 1.Introduction to Gaussian Elimination. 2. Using multiple row operations. 3. Exercise - let’s see if you can do it. Refs: B & Z 4.2, 4.3.

Example 1 (revisited): constantxy Use operation (A) Use operation (C) Use operation (B) ~ ~

~ ~ Use operation (C) Bingo! Read off solution. xyconstant Solution: x=1 y=5

We have just used a procedure known as Gaussian elimination (or row reduction) which transforms a matrix The procedure also applies to larger matrices. into

Example 2: Solve for x, y and z: The first step is to construct the augmented matrix: x coefficients constant terms z coefficients y coefficients

Our aim is to produce an equivalent augmented matrix which has 1’s on the diagonal and zeroes elsewhere (on the LHS). ~ ~ 2 Use (A) to get a 1 in the top left corner Use (C) to get a 0 in the position indicated Use (C) to get a 0 in the bottom left position

Use (C) to get a 0 in the position indicated Use (C) to get a 0 in the position indicated Use (B) to get a 1 in the bottom right corner ~ -2 ~ 4 Use (B) to get a 1 in the centre -2 ~5~

Solution: Always substitute these values back into ALL of your equations to check your solution. Note: It is very easy to make algebraic mistakes!!! -2 ~ ~ Use (C) to get a 0 in the position indicated We now have the required form xconstantzy ~ Use (C) to get a 0 in the Top right corner

Check:

Using multiple operations We can alter more than one row at a time to speed up the Gaussian elimination procedure. Example 3: ~ ~ ~ No problem - we have saved some time. (Here we are using multiple (B) Operations)

Example 4: We can perform multiple (C ) operations provided at least one row is kept constant and only multiples of it are used to perform the other operations. ~~

Obviously, performing multiple (A) type operations causes no problem. Exercise 1: Solve the following system of simultaneous equations: Example 4 (continued): ~ No problem - We kept R 1 constant And used it to get R 2 and R 3

Solution to Exercise ~ ~ ~ ~ ~

xyz (x,y,z)=(3,-2,1)

You can now attempt Q1 and Q2 from Exercise Sheet 1 of the Orange Book