Solving System Of Linear Equations 线性方程组 二元一次方程组.

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
Triangular Form and Gaussian Elimination Boldly on to Sec. 7.3a…
10.1 Gaussian Elimination Method
Chapter 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.
Solving a System of Equations by ELIMINATION. Elimination Solving systems by Elimination: 1.Line up like terms in standard form x + y = # (you may have.
Table of Contents Solving Systems of Linear Equations - Gaussian Elimination The method of solving a linear system of equations by Gaussian Elimination.
1 1.1 © 2012 Pearson Education, Inc. Linear Equations in Linear Algebra SYSTEMS OF 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.
Section 1.1 Introduction to Systems of Linear Equations.
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.
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.
MATH 250 Linear Equations and Matrices
Chapter 1 Systems of Linear Equations
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.
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.
Copyright © 1999 by the McGraw-Hill Companies, Inc. Barnett/Ziegler/Byleen Precalculus: Functions & Graphs, 4 th Edition Chapter Eight Systems of Equations.
1 Consider a system of linear equations.  The variables, or unknowns, are referred to as x 1, x 2, …, x n while the a ij ’s and b j ’s are constants.
Chapter 1 Section 1.1 Introduction to Matrices and systems of Linear Equations.
Goal: Solve a system of linear equations in two variables by the linear combination method.
Triangular Form and Gaussian Elimination Boldly on to Sec. 7.3a… HW: p odd.
Matrices and Systems of Equations
Matrices and Systems of Linear Equations
Section 7-3 Solving 3 x 3 systems of equations. Solving 3 x 3 Systems  substitution (triangular form)  Gaussian elimination  using an augmented matrix.
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
7.4. 5x + 2y = 16 5x + 2y = 16 3x – 4y = 20 3x – 4y = 20 In this linear system neither variable can be eliminated by adding the equations. In this linear.
Do Now (3x + y) – (2x + y) 4(2x + 3y) – (8x – y)
Lecture 1 Systems of Linear Equations
RECOGNIZING INCONSISTENT LINEAR SYSTEMS. What is an Inconsistent Linear System?  An inconsistent linear system is a system of equations that has no solutions.
Linear Algebra 线性代数. Linear Algebra Chapter 1 Linear Equations 线性方程(组) Chapter 2 Matrix Algebra 矩阵代数 Chapter 3 Determinants 行列式 Chapter 4 Vector Spaces.
Section 3.5 Solving Systems of Linear Equations in Two Variables by the Addition Method.
 Recall that when you wanted to solve a system of equations, you used to use two different methods.  Substitution Method  Addition Method.
Solving Systems by Elimination 5.4 NOTES, DATE ____________.
Chapter 5: Matrices and Determinants Section 5.5: Augmented Matrix Solutions.
Multivariable linear systems.  The following system is said to be in row-echelon form, which means that it has a “stair-step” pattern with leading coefficients.
Elimination Method - Systems. Elimination Method  With the elimination method, you create like terms that add to zero.
Solving a System of Equations by ELIMINATION. Elimination Solving systems by Elimination: 1.Line up like terms in standard form x + y = # (you may have.
Section 6-1: Multivariate Linear Systems and Row Operations A multivariate linear system (also multivariable linear system) is a system of linear equations.
College Algebra Chapter 6 Matrices and Determinants and Applications
Linear Equations in Linear Algebra
Gaussian Elimination and Gauss-Jordan Elimination
Solving Systems of Equations Using Matrices
Linear Equations 1.1 System of linear Equations
Objective I CAN solve systems of equations using elimination with multiplication.
Solving Systems of Linear Equations in 3 Variables.
Chapter 8: Lesson 8.1 Matrices & Systems of Equations
CHAPTER 9: GAUSSIAN ELIMINATION.
Solving Systems of Equations
Systems of Linear Equations
Matrix Solutions to Linear Systems
Solve Linear Equations by Elimination
Objectives Solve systems of linear equations in two variables by elimination. Compare and choose an appropriate method for solving systems of linear equations.
Gaussian Elimination.
College Algebra Chapter 6 Matrices and Determinants and Applications
Solving Systems of Linear Equations in 3 Variables.
Linear Equations in Linear Algebra
Systems of Equations Solve by Graphing.
Multivariable Linear Systems
Example 2B: Solving Linear Systems by Elimination
Presentation transcript:

Solving System Of Linear Equations 线性方程组 二元一次方程组

Solve the following system of linear equations: 1. 2(2) (2’) -(1) Elimination 加减消元法 Substitution 代入消元法

2. Gaussian Elimination 消元法 Alternative z = 1, y = 1, x = 4

Coefficient Matrix 系数矩阵 Augmented Matrix 增广矩阵 z = 1, y = 1, x = 4 R 2  – 2R 1 + R 2 R 3  – 3R 1 + R 2 R 3  –R 2 +R 3 R 3  0.5R 3 Alternative – PracticeAlgorithm Interchanging 2 rows: R i  R j Multiply a row by a constant: R i  kR i Add to a row a multiple of another row :R i  kR j +R i Elementary row transformations

R 1  – 2R 2 + R 1 R 1  – 3R 3 + R 1 R 2  – 2R 3 +R 2 ALGORITHM The matrix can be simplified further Computer Simulation x = 4, y = 1, z = 1

In general, how many solution(s) can a system of linear equations have? PRACTICE SolutionBACK

SOLUTION z=, x = (1+ )/2, y = 4x – 3 z = 2 – where  IR BACK 0z=2 no solution 2.

Further points of discussion 1. Solving linear equations in 3 variables Computer program 2. Step by Step Illustration All steps shown With final score What are the limitations of the above computer programs? 1.How can the ALGORITHM described above be applied to 4 linear equations in 4 variables? n linear equations in n variables? Websites

Approach: (1) top down strategy (2) bottom up strategy Amy, Ben and Calvin play a game as follows. The player who loses each round must give each of the other players as much money as the player has at that time. In round 1, Amy loses and gives Ben and Calvin as much money as they each have. In round 2, Ben loses, and gives Amy and Calvin as much money as they each then have. Calvin loses in round 3 and gives Amy and Ben as much money as they each have. They decide to quit at this point and discover that they each have $24. How much money did they each start with? A Mathematical Problem

x – y – z = 6, 3y – x – z = 12 and 7z – x – y = 24; from which x, y and z can be solved. x=39, y=21, z=12 Method 1 – Top down strategy Let Amy, Ben and Calvin each had $x, $y and $z initially. AmyBenCalvin At start$x$y$z After round 1 After round 2 After round 3 x – y – z2y2z 3y – x – z 2(x – y – z) 4z 4(x – y – z) 2(3y – x – z) 7z – x – y NEXT

Instead of considering how much money Amy, Ben and Calvin had originally, work backwards from the moment when each of them has $24 each. Complete the following table and see how easily you can reach exactly the same conclusion as in method 1. Method 2 – Bottom up strategy AmyBenCalvin At start$x$y$z After round 1 After round 2 After round 3 BACK