Section 1.5 Elementary Matrices and a Method for Finding A −1.

Slides:



Advertisements
Similar presentations
Rules of Matrix Arithmetic
Advertisements

8.3 Inverse Linear Transformations
Matrices A matrix is a rectangular array of quantities (numbers, expressions or function), arranged in m rows and n columns x 3y.
1.5 Elementary Matrices and a Method for Finding
1.5 Elementary Matrices and a Method for Finding
Systems of Linear Equations and Matrices
Matrices and Systems of Equations
1 © 2012 Pearson Education, Inc. Matrix Algebra THE INVERSE OF A MATRIX.
Matrix Algebra THE INVERSE OF A MATRIX © 2012 Pearson Education, Inc.
Chapter 3 The Inverse. 3.1 Introduction Definition 1: The inverse of an n  n matrix A is an n  n matrix B having the property that AB = BA = I B is.
1.5 Elementary Matrices and
CHAPTER 1 Section 1.5 إعداد د. هيله العودان (وضعت باذن معدة العرض)
Elementary Linear Algebra Howard Anton Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 1.
Linear Algebra - Chapter 1 [YR2005]
Systems of linear equations. Simple system Solution.
Section 6.6 Orthogonal Matrices.
SYSTEMS OF LINEAR EQUATIONS
Elementary Linear Algebra Howard Anton Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 1.
2.1 Operations with Matrices 2.2 Properties of Matrix Operations
1 資訊科學數學 14 : Determinants & Inverses 陳光琦助理教授 (Kuang-Chi Chen)
 Row and Reduced Row Echelon  Elementary Matrices.
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.
Copyright © 2011 Pearson, Inc. 7.3 Multivariate Linear Systems and Row Operations.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Section 1.1 Introduction to Systems of Linear Equations.
Warm-Up Write each system as a matrix equation. Then solve the system, if possible, by using the matrix equation. 6 minutes.
Chapter 2 Determinants. The Determinant Function –The 2  2 matrix is invertible if ad-bc  0. The expression ad- bc occurs so frequently that it has.
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.
Systems of Linear Equation and Matrices
Matrix Algebra. Quick Review Quick Review Solutions.
Chap. 2 Matrices 2.1 Operations with Matrices
Anton/Busby Contemporary Linear AlgebraSection 3.1, Pg. 80.
Row Reduction Method Lesson 6.4.
Numerical Computation Lecture 7: Finding Inverses: Gauss-Jordan United International College.
More on Inverse. Last Week Review Matrix – Rule of addition – Rule of multiplication – Transpose – Main Diagonal – Dot Product Block Multiplication Matrix.
1 © 2010 Pearson Education, Inc. All rights reserved © 2010 Pearson Education, Inc. All rights reserved Chapter 9 Matrices and Determinants.
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.
Sec 3.5 Inverses of Matrices Where A is nxn Finding the inverse of A: Seq or row operations.
Chapter 9 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Multiplicative Inverses of Matrices and Matrix Equations.
1.5 Elementary Matrices and
5 5.2 © 2012 Pearson Education, Inc. Eigenvalues and Eigenvectors THE CHARACTERISTIC EQUATION.
Chapter 1 Section 1. Examples: 2 x 2 system 2 x 3 system 3 x 2 system.
Section 1.4 Inverses; Rules of Matrix Arithmetic.
Properties of Inverse Matrices King Saud University.
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.
2.2 The Inverse of a Matrix. Example: REVIEW Invertible (Nonsingular)
1.6 Further Results on Systems of Equations and Invertibility.
Linear Algebra Chapter 2 Matrices.
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.
2.5 – Determinants and Multiplicative Inverses of Matrices.
2 2.2 © 2016 Pearson Education, Ltd. Matrix Algebra THE INVERSE OF A MATRIX.
Notes Over 4.2 Finding the Product of Two Matrices Find the product. If it is not defined, state the reason. To multiply matrices, the number of columns.
Chapter 2 Matrices 2.1 Operations with Matrices 2.2 Properties of Matrix Operations 2.3 The Inverse of a Matrix 2.4 Elementary Matrices Elementary Linear.
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.
2 - 1 Chapter 2A Matrices 2A.1 Definition, and Operations of Matrices: 1 Sums and Scalar Products; 2 Matrix Multiplication 2A.2 Properties of Matrix Operations;
Section 6-2: Matrix Multiplication, Inverses and Determinants There are three basic matrix operations. 1.Matrix Addition 2.Scalar Multiplication 3.Matrix.
Properties of Matrix Operations 2010, 14, Sep. Ki-Seung Lee.
Section 5.6 Rank and Nullity. FOUR FUNDAMENTAL MATRIX SPACES If we consider matrices A and A T together, then there are six vector spaces of interest:
College Algebra Chapter 6 Matrices and Determinants and Applications
Solving Systems of Equations Using Matrices
ALGEBRA AND TRIGONOMETRY
Lecture 2 Matrices Lat Time - Course Overview
1.6 Further Results on Systems
Elementary Matrices.
Matrices and Systems of Equations 8.1
Evaluating Determinants by Row Reduction
Elementary Matrix Methid For find Inverse
Sec 3.5 Inverses of Matrices
DETERMINANT MATH 80 - Linear Algebra.
Matrix Algebra THE INVERSE OF A MATRIX © 2012 Pearson Education, Inc.
Presentation transcript:

Section 1.5 Elementary Matrices and a Method for Finding A −1

ELEMENTARY MATRICES An n×n matrix is called an elementary matrix if it can be obtained from the n×n identity matrix I n by performing a singled elementary row operation.

ROW OPERATIONS BY MATRIX MULTIPLICATION Theorem 1.5.1: If an elementary matrix E results from performing a certain row operation on I m and if A is an m×n matrix, then the product EA is the matrix that results when the same row operation is performed on A.

INVERSE OPERATIONS Since a single row operation produced the elementary matrix E, there is a row operation, called an inverse operation, that returns E to I.

Row Operation on I That Produces E Row Operation on E That Reproduces I Multiply row i by c ≠ 0Multiply row i by 1/c Interchange rows i and j Add c times row i to row jAdd −c times row i to row j

ELEMENTARY MATRICES AND INVERSES Theorem 1.5.2: Every elementary matrix is invertible, and the inverse is also and elementary matrix.

EQUIVALENT STATEMENTS Theorem 1.5.3: If A is an n×n matrix, then the following statements are equivalent; that is, all are true or all are false. (a)A is invertible. (b)Ax = 0 has only the trivial solution. (c)The reduced row-echelon form of A is I n. (d)A is expressible as a product of elementary matrices.

ROW EQUIVALENCY Matrices that can be obtained from one another by a finite sequence of row operations are said to be row equivalent.

A METHOD FOR INVERTING MATRICES To find the inverse of an invertible matrix A, we must find a sequence of elementary row operations that reduces A to the identity matrix and then perform the sequence of row operations on I n to obtain A −1.