Section 8.4 Matrix Algebra

Slides:



Advertisements
Similar presentations
Lesson 12.2 Matrix Multiplication. 3 Row and Column Order The rows in a matrix are usually indexed 1 to m from top to bottom. The columns are usually.
Advertisements

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.
8.4 Matrix Operations Day 1 Thurs May 7 Do Now Solve X – 2y = -6 3x + 4y = 7.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall.
2 2.1 © 2016 Pearson Education, Inc. Matrix Algebra MATRIX OPERATIONS.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
Chapter 8 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Operations and Their Applications.
Overview Definitions Basic matrix operations (+, -, x) Determinants and inverses.
8.1 Matrices & Systems of Equations
Copyright © 2011 Pearson, Inc. 7.2 Matrix Algebra.
Algebra 3: Section 5.5 Objectives of this Section Find the Sum and Difference of Two Matrices Find Scalar Multiples of a Matrix Find the Product of Two.
If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Prepared by Deluar Jahan Moloy Lecturer Northern University Bangladesh
Chapter 6 Systems of Linear Equations and Matrices Sections 6.3 – 6.5.
Chapter 6 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Operations and Their Applications.
Slide Copyright © 2009 Pearson Education, Inc. 7.3 Matrices.
Matrix Algebra Section 7.2. Review of order of matrices 2 rows, 3 columns Order is determined by: (# of rows) x (# of columns)
Copyright © Cengage Learning. All rights reserved. 2 SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall Chapter 5 More Work with Matrices
Goal: Find sums, differences, products, and inverses of matrices.
Copyright ©2015 Pearson Education, Inc. All rights reserved.
MATRIX A set of numbers arranged in rows and columns enclosed in round or square brackets is called a matrix. The order of a matrix gives the number of.
Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall. Section 2.6 The Graph of a Rational Function.
Slide Copyright © 2009 Pearson Education, Inc. 7.4 Solving Systems of Equations by Using Matrices.
If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.
13.3 Product of a Scalar and a Matrix.  In matrix algebra, a real number is often called a.  To multiply a matrix by a scalar, you multiply each entry.
Ch. 12 Vocabulary 1.) matrix 2.) element 3.) scalar 4.) scalar multiplication.
MATRICES A rectangular arrangement of elements is called matrix. Types of matrices: Null matrix: A matrix whose all elements are zero is called a null.
The Inverse Trigonometric Functions (Continued)
Sections 2.4 and 2.5 Matrix Operations
College Algebra Chapter 6 Matrices and Determinants and Applications
L6 matrix operations.
Section 9.1 Polar Coordinates
Matrix Operations.
Basic Matrix Operations
Matrix Operations SpringSemester 2017.
Section 7.4 Matrix Algebra.
Matrix Algebra.
Matrix Algebra.
Section 8.3 The Law of Cosines
Section 11.8 Linear Programming
Copyright © 2008 Pearson Prentice Hall Inc.
Copyright © 2008 Pearson Prentice Hall Inc.
Lial/Hungerford/Holcomb/Mullins: Mathematics with Applications 11e Finite Mathematics with Applications 11e Copyright ©2015 Pearson Education, Inc. All.
Mathematical Models: Building Functions
Copyright © 2008 Pearson Prentice Hall Inc.
Copyright © 2008 Pearson Prentice Hall Inc.
Section 11.4 Matrix Algebra
Matrices.
Section 9.5 Inverses of Matrices
Matrix Algebra.
The Graph of a Rational Function
Systems of Linear Equations: Matrices
Quadratic Equations in the Complex Number System
Properties of Rational Functions
Section 9.4 Matrix Operations
Rayat Shikshan Sanstha’s S.M.Joshi College, Hadapsar -28
1.8 Matrices.
Basic Matrix Operations
Matrix Operations SpringSemester 2017.
1.8 Matrices.
3.5 Perform Basic Matrix Operations Algebra II.
Copyright © 2008 Pearson Prentice Hall Inc.
Copyright © 2008 Pearson Prentice Hall Inc.
The Inverse Trigonometric Functions (Continued)
Presentation transcript:

Section 8.4 Matrix Algebra Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding entries of A and B. The difference of A and B, denoted A  B, is obtained by subtracting corresponding entries of A and B. Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

The Zero Matrix Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

If A is an m × n matrix and s is a scalar, then we let kA denote the matrix obtained by multiplying every element of A by k. This procedure is called scalar multiplication. Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

AB ≠ BA Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

R3=2r1+r3 R1=r1+r2 R3=-4r2+r3 R2=r2 R3=1/9r3 R1=r1+r3 R2=3r3+r2

R1=-1/2r1 R2=4r1+r2 We can see that we cannot get the identity on the left side of the vertical bar. We conclude that A is singular and has no inverse. Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.