Chapter 8: Lesson 8.1 Matrices & Systems of Equations

Slides:



Advertisements
Similar presentations
Gauss Elimination.
Advertisements

Chapter 2 Simultaneous Linear Equations
Matrices & Systems of Linear Equations
Lesson 8 Gauss Jordan Elimination
Solving Systems of Linear Equations Part Pivot a Matrix 2. Gaussian Elimination Method 3. Infinitely Many Solutions 4. Inconsistent System 5. Geometric.
Matrices. Special Matrices Matrix Addition and Subtraction Example.
Chapter 1 Systems of Linear Equations
10.1 Gaussian Elimination Method
Lesson 8.1, page 782 Matrix Solutions to Linear Systems
Chapter 1 Section 1.2 Echelon Form and Gauss-Jordan Elimination.
Section 8.1 – Systems of Linear Equations
Solving System of Linear Equations. 1. Diagonal Form of a System of Equations 2. Elementary Row Operations 3. Elementary Row Operation 1 4. Elementary.
Table of Contents Solving Systems of Linear Equations - Gaussian Elimination The method of solving a linear system of equations by Gaussian Elimination.
Matrices Write and Augmented Matrix of a system of Linear Equations Write the system from the augmented matrix Solve Systems of Linear Equations using.
Systems of linear equations. Simple system Solution.
Linear Algebra – Linear Equations
1.2 Gaussian Elimination.
Multivariate Linear Systems and Row Operations.
SYSTEMS OF LINEAR EQUATIONS
Chapter 1 Systems of Linear Equations and Matrices
System of Linear Equations Nattee Niparnan. LINEAR EQUATIONS.
Reduced Row Echelon Form
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.
Copyright © 2011 Pearson, Inc. 7.3 Multivariate Linear Systems and Row Operations.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Warm-Up Write each system as a matrix equation. Then solve the system, if possible, by using the matrix equation. 6 minutes.
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.
Matrix Algebra. Quick Review Quick Review Solutions.
Euclidean m-Space & Linear Equations Row Reduction of Linear Systems.
Three variables Systems of Equations and Inequalities.
How To Find The Reduced Row Echelon Form. Reduced Row Echelon Form A matrix is said to be in reduced row echelon form provided it satisfies the following.
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.
 Lecture #9: 1.Linear Equations: y=mx +b 2.Solution System: N.S., U.S., I.S. 3.Augmented Matrix 4.Solving a System of Linear Equations  Today: 1.Echelon.
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.
Using Matrices A matrix is a rectangular array that can help us to streamline the solving of a system of equations The order of this matrix is 2 × 3 If.
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
Section 1.2 Gaussian Elimination. REDUCED ROW-ECHELON FORM 1.If a row does not consist of all zeros, the first nonzero number must be a 1 (called a leading.
Copyright © 2009 Pearson Education, Inc. CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations.
How To Find The Reduced Row Echelon Form. Reduced Row Echelon Form A matrix is said to be in reduced row echelon form provided it satisfies the following.
Section 7-3 Solving 3 x 3 systems of equations. Solving 3 x 3 Systems  substitution (triangular form)  Gaussian elimination  using an augmented matrix.
Linear Equation System Pertemuan 4 Matakuliah: S0262-Analisis Numerik Tahun: 2010.
 SOLVE SYSTEMS OF EQUATIONS USING MATRICES. Copyright © 2012 Pearson Education, Inc. Publishing as Addison Wesley 9.3 Matrices and Systems of Equations.
Matrices and Systems of Equations
7.3 & 7.4 – MATRICES AND SYSTEMS OF EQUATIONS. I N THIS SECTION, YOU WILL LEARN TO  Write a matrix and identify its order  Perform elementary row operations.
Chapter 1 Systems of Linear Equations Linear Algebra.
Math 1320 Chapter 3: Systems of Linear Equations and Matrices 3.2 Using Matrices to Solve Systems of Equations.
Section 5.3 MatricesAnd Systems of Equations. Systems of Equations in Two Variables.
3/18/2016Agenda Textbook / Web Based ResourceTextbook / Web Based Resource –Basics of Matrices –Row-Echelon Form –Reduced Row Echelon Form ClassworkClasswork.
Gaussian Elimination Digital Lesson. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 Gaussian elimination with back-substitution.
College Algebra Chapter 6 Matrices and Determinants and Applications
Section 6.1 Systems of Linear Equations
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Systems of linear equations
Gaussian Elimination and Gauss-Jordan Elimination
Gaussian Elimination and Gauss-Jordan Elimination
Solving Systems of Equations Using Matrices
12-2: Matrices.
Agenda Textbook / Web Based Resource Basics of Matrices Classwork
Chapter 1 Systems of Linear Equations and Matrices
Matrices and Systems of Equations
Gaussian Elimination and Gauss-Jordan Elimination
Elementary Row Operations Gaussian Elimination Method
Gaussian Elimination.
College Algebra Chapter 6 Matrices and Determinants and Applications
Section 8.1 – Systems of Linear Equations
Matrices are identified by their size.
Presentation transcript:

Chapter 8: Lesson 8.1 Matrices & Systems of Equations The size or “order” of a matrix is determined by the number of rows and columns. The matrix above is a (2 x 3) matrix.

4x – 3y = -5 -x + 3y = 12 This represents a coefficient matrix for the system of equations. This represents an augmented matrix for the system of equations.

Elementary Matrix Row Operations It is acceptable to interchange any 2 rows. It is acceptable to multiply any row by a NONZERO constant. It is acceptable to add a multiple of a row to any other row.

Gaussian Elimination Make all the main diagonal entries = 1 by using elementary row operations. Make all the entries below the main diagonal entries = 0 by using elementary row operations. Process Start with the first column and make the first main diagonal entry = 1 by using elementary row operations. Make all entries below that main diagonal entry = 0 by using elementary row operations. Repeat steps 1 and 2 for any remaining columns from left to right.

Row Echelon Form of a Matrix Any rows consisting entirely of zeros occurs at the bottom of the matrix. Each row that does not consist entirely of zeros has the first non zero entry as 1 (leading 1). For 2 successive (nonzero) rows, the leading 1 in the higher row is farther to the left than the leading 1 in the lower row. A matrix in row echelon form is in reduced row echelon form if every column that has a leading 1 has zeros in every position above and below its leading zero.

#68 Solve the system below by using Gaussian Elimination -x + y = 4 2x – 4y = -34

See example 7 on page 544 to see an example of what NO SOLUTION looks like.