Adjoint matrix Yes! The array of algebraic complements!

Slides:



Advertisements
Similar presentations
4.1 Introduction to Matrices
Advertisements

Elementary Linear Algebra Anton & Rorres, 9th Edition
§ 3.4 Matrix Solutions to Linear Systems.
Gauss Elimination.
Chapter 4 Systems of Linear Equations; Matrices Section 2 Systems of Linear Equations and Augmented Matrics.
Chapter 2 Polynomial and Rational Functions Copyright © 2014, 2010, 2007 Pearson Education, Inc Dividing Polynomials: Remainder and Factor Theorems.
Linear Systems of Equations Ax = b Marco Lattuada Swiss Federal Institute of Technology - ETH Institut für Chemie und Bioingenieurwissenschaften ETH Hönggerberg/
Solving systems using matrices
Arithmetic Operations on Matrices. 1. Definition of Matrix 2. Column, Row and Square Matrix 3. Addition and Subtraction of Matrices 4. Multiplying Row.
CE 311 K - Introduction to Computer Methods Daene C. McKinney
Copyright © Cengage Learning. All rights reserved. 7.6 The Inverse of a Square Matrix.
Section 8.1 – Systems of Linear Equations
Chapter 7 Matrix Mathematics Matrix Operations Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Matrices Write and Augmented Matrix of a system of Linear Equations Write the system from the augmented matrix Solve Systems of Linear Equations using.
1 Systems of Linear Equations & Matrices Sections 4.2 & 4.3 After today’s lesson, you will be able to Use terms associated with matrices. Set up and solve.
SYSTEMS OF LINEAR EQUATIONS
1 1.1 © 2012 Pearson Education, Inc. Linear Equations in Linear Algebra SYSTEMS OF LINEAR EQUATIONS.
Spring 2013 Solving a System of Linear Equations Matrix inverse Simultaneous equations Cramer’s rule Second-order Conditions Lecture 7.
1 February 24 Matrices 3.2 Matrices; Row reduction Standard form of a set of linear equations: Chapter 3 Linear Algebra Matrix of coefficients: Augmented.
1 資訊科學數學 14 : Determinants & Inverses 陳光琦助理教授 (Kuang-Chi Chen)
ECON 1150 Matrix Operations Special Matrices
 Row and Reduced Row Echelon  Elementary Matrices.
Needs Work Need to add –HW Quizzes Chapter 13 Matrices and Determinants.
Chapter 2 Simultaneous Linear Equations (cont.)
Section 3.6 – Solving Systems Using Matrices
A matrix equation has the same solution set as the vector equation which has the same solution set as the linear system whose augmented matrix is Therefore:
Matrices & Determinants Chapter: 1 Matrices & Determinants.
WEEK 8 SYSTEMS OF EQUATIONS DETERMINANTS AND CRAMER’S RULE.
1 Ch. 4 Linear Models & Matrix Algebra Matrix algebra can be used: a. To express the system of equations in a compact manner. b. To find out whether solution.
1 MAC 2103 Module 3 Determinants. 2 Rev.F09 Learning Objectives Upon completing this module, you should be able to: 1. Determine the minor, cofactor,
Matrices CHAPTER 8.1 ~ 8.8. Ch _2 Contents  8.1 Matrix Algebra 8.1 Matrix Algebra  8.2 Systems of Linear Algebra Equations 8.2 Systems of Linear.
A Quadratic Equation is an equation that can be written in the form Solving Quadratic Equations – Factoring Method Solving quadratic equations by the factoring.
Systems of Equations and Inequalities Systems of Linear Equations: Substitution and Elimination Matrices Determinants Systems of Non-linear Equations Systems.
Lesson 11-1 Matrix Basics and Augmented Matrices Objective: To learn to solve systems of linear equation using matrices.
Elementary Linear Algebra Anton & Rorres, 9 th Edition Lecture Set – 02 Chapter 2: Determinants.
Chapter 3 Determinants Linear Algebra. Ch03_2 3.1 Introduction to Determinants Definition The determinant of a 2  2 matrix A is denoted |A| and is given.
4.6: Rank. Definition: Let A be an mxn matrix. Then each row of A has n entries and can therefore be associated with a vector in The set of all linear.
ME 142 Engineering Computation I Matrix Operations in Excel.
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.
Sullivan Algebra and Trigonometry: Section 12.3 Objectives of this Section Write the Augmented Matrix of a System of Linear Equations Write the System.
Solve a system of linear equations By reducing a matrix Pamela Leutwyler.
Chapter 1 Linear Algebra S 2 Systems of Linear Equations.
3.6 Solving Systems Using Matrices You can use a matrix to represent and solve a system of equations without writing the variables. A matrix is a rectangular.
Topic 6: ALGEBRA Matrices and Matrix OperationsMatrices and Matrix Operations Determinants and Inverse Matrices Determinants and Inverse Matrices System.
2.1 – Linear and Quadratic Equations Linear Equations.
Chapter 2 Determinants. With each square matrix it is possible to associate a real number called the determinant of the matrix. The value of this number.
Copyright © Cengage Learning. All rights reserved. 2 SYSTEMS OF LINEAR EQUATIONS AND MATRICES Solve p. 87 #45 by elimination.
Matrices and Matrix Operations. Matrices An m×n matrix A is a rectangular array of mn real numbers arranged in m horizontal rows and n vertical columns.
LEARNING OUTCOMES At the end of this topic, student should be able to :  D efination of matrix  Identify the different types of matrices such as rectangular,
Section 2.1 Determinants by Cofactor Expansion. THE DETERMINANT Recall from algebra, that the function f (x) = x 2 is a function from the real numbers.
Linear System of Simultaneous Equations Warm UP First precinct: 6 arrests last week equally divided between felonies and misdemeanors. Second precinct:
Linear Algebra Engineering Mathematics-I. Linear Systems in Two Unknowns Engineering Mathematics-I.
CHAPTER 7 Determinant s. Outline - Permutation - Definition of the Determinant - Properties of Determinants - Evaluation of Determinants by Elementary.
REVIEW Linear Combinations Given vectors and given scalars
LINEAR ALGEBRA.
11.2 Arithmetic Sequences.
The Inverse of a Square Matrix
Algebra 2 Chapter 3 Section 3 Cramer’s Rule
Linear Algebra Lecture 19.
We will be looking for a solution to the system of linear differential equations with constant coefficients.
Linear Algebra Lecture 4.
Chapter 2 Determinants Basil Hamed
4.6: Rank.
Students will write a summary explaining how to use Cramer’s rule.
Linear Algebra Lecture 3.
Applications of Matrices
College Algebra Chapter 6 Matrices and Determinants and Applications
Chapter 2 Determinants.
Presentation transcript:

adjoint matrix Yes! The array of algebraic complements!

example: Write the adjoint matrix of a 2*2 matrix.

An important formula!

1.The elements are arranged as ascending order, and exponentials are arithmetical series. 2.The result may be positive,negative or zero. 3. A product of n(n-1)/2 items. Our task is to calculate other determinants by Vedermonde determinant. So we should memorize the form and result of Vedermonde determinant. Can you identify Vedermonde determinant ? Can you solve problems by the result of Vedermonde determinant ?

Such as :

Cramer principle Consider the following linear system: Similar to binary system, the nth element equation can be expressed by determinant.

Theorem 1. If the coefficient determinant then the system has unique solution:

where There are two propositions to prove. One is the existence of solution, the other is the uniqueness. And the solution can be written as

To prove are solutions, we should prove the equations From the equation above, we can get Therefore we construct a (n+1)th order determinant

This determinant equals zero. Compute it by the 1st row, we obtain

Then prove the uniqueness of solution, and Bythe first proposition is proved. that is

Theorem 2. If the coefficient determinant is nonzero, then the system has only one solution. System: is called homogeneous linear system.

Theorem 3. If the coefficient determinant of a homogeneous linear equation then the system has one unique solution.

So when the system has nonzero solution. example 2 : Prove that the following system has zero solution only. Solve: If the system has nonzero solution, the coefficient determinant must be zero.

So the system has zero solution only. Practice determinant : 1. The (n+1)th column plus to the nth,  the 2nth column plus to the 1st one.

The question can also be solved by computing it according to the row or column. Compute the determinant by the 1st row.

(compute it by the 1 st row)

Keep the method in heart!