1 Lecture May 2011 Matrices and Determinants Mathematics XI 2011.

Slides:



Advertisements
Similar presentations
BAI CM20144 Applications I: Mathematics for Applications Mark Wood
Advertisements

Learning Objectives To apply the summation and product notation To define a matrix To solve problems on matrix summation, subtraction and multiplication.
Matrices A matrix is a rectangular array of quantities (numbers, expressions or function), arranged in m rows and n columns x 3y.
1 Group representations Consider the group C 4v ElementMatrix E C C C
Matrix Algebra Matrix algebra is a means of expressing large numbers of calculations made upon ordered sets of numbers. Often referred to as Linear Algebra.
Matrix Algebra Matrix algebra is a means of expressing large numbers of calculations made upon ordered sets of numbers. Often referred to as Linear Algebra.
Mathematics. Matrices and Determinants-1 Session.
Matrices & Systems of Linear Equations
3_3 An Useful Overview of Matrix Algebra
Chapter 2 Matrices Definition of a matrix.
1 Neural Nets Applications Vectors and Matrices. 2/27 Outline 1. Definition of Vectors 2. Operations on Vectors 3. Linear Dependence of Vectors 4. Definition.
A matrix having a single row is called a row matrix. e.g.,
1 Statistical Analysis Professor Lynne Stokes Department of Statistical Science Lecture 5QF Introduction to Vector and Matrix Operations Needed for the.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
ECON 1150 Matrix Operations Special Matrices
MATLAB Basics With a brief review of linear algebra by Lanyi Xu modified by D.G.E. Robertson.
A rectangular array of numbers (we will concentrate on real numbers). A nxm matrix has ‘n’ rows and ‘m’ columns What is a matrix? First column First row.
Overview Definitions Basic matrix operations (+, -, x) Determinants and inverses.
Matrices. A matrix, A, is a rectangular collection of numbers. A matrix with “m” rows and “n” columns is said to have order m x n. Each entry, or element,
1.10 and 1.11 Quiz : Friday Matrices Test: Oct. 20.
Lecture 7 Matrices CSCI – 1900 Mathematics for Computer Science Fall 2014 Bill Pine.
Matrices. Definitions  A matrix is an m x n array of scalars, arranged conceptually as m rows and n columns.  m is referred to as the row dimension.
13.1 Matrices and Their Sums
Chapter 4 – Matrix CSNB 143 Discrete Mathematical Structures.
Prepared by Deluar Jahan Moloy Lecturer Northern University Bangladesh
Notes 7.2 – Matrices I. Matrices A.) Def. – A rectangular array of numbers. An m x n matrix is a matrix consisting of m rows and n columns. The element.
2x2 Matrices, Determinants and Inverses
Review of Matrix Operations Vector: a sequence of elements (the order is important) e.g., x = (2, 1) denotes a vector length = sqrt(2*2+1*1) orientation.
3.4 Solution by Matrices. What is a Matrix? matrix A matrix is a rectangular array of numbers.
Unit 3 Matrix Arithmetic IT Disicipline ITD 1111 Discrete Mathematics & Statistics STDTLP 1 Unit 3 Matrix Arithmetic.
MT411 Robotic Engineering Asian Institution of Technology (AIT) Chapter 1 Introduction to Matrix Narong Aphiratsakun, D.Eng.
Matrices and Determinants
MATRICES Operations with Matrices Properties of Matrix Operations
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.
Algebra 2 Adding and Subtracting Matrices. Algebra 2 The table shows information on ticket sales for a new movie that is showing at two theaters. Sales.
1-4 Properties of Real Numbers. Properties 1.Additive Identity – the sum of any number and zero is equal to the number. a + 0 = a 2.Multiplicative Identity.
2.1 Adding Rational Numbers. 2.1 – Adding Rational #s Goals / “I can…” Add rational numbers using models and rules Apply addition.
Matrix Algebra Definitions Operations Matrix algebra is a means of making calculations upon arrays of numbers (or data). Most data sets are matrix-type.
Matrices. Variety of engineering problems lead to the need to solve systems of linear equations matrixcolumn vectors.
CS 285- Discrete Mathematics Lecture 11. Section 3.8 Matrices Introduction Matrix Arithmetic Transposes and Power of Matrices Zero – One Matrices Boolean.
Adding and Subtracting Real Numbers. Vocabulary Additive Inverse-the opposite of a number Identity Property of Addition: – for any number, n, n + 0 =
Ch. 12 Vocabulary 1.) matrix 2.) element 3.) scalar 4.) scalar multiplication.
SOL 7.16 Properties I will apply the following properties of operations with real numbers The Commutative and Associative Properties for Addition and.
A very brief introduction to Matrix (Section 2.7) Definitions Some properties Basic matrix operations Zero-One (Boolean) matrices.
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.
Matrices Introduction.
MTH108 Business Math I Lecture 20.
Matrices and Vector Concepts
Matrices and Matrix Operations
College Algebra Chapter 6 Matrices and Determinants and Applications
49c + 25c = 20c + 5c 1c + 4c Add and Subtract Money + 20c + 1c + 4c
Linear Algebra Lecture 2.
Review of Matrix Operations
WELCOME TO THE HIGHER MATHEMATICS CLASS
Properties of Operations
L6 matrix operations.
DETERMINANTS A determinant is a number associated to a square matrix. Determinants are possible only for square matrices.
Basic Matrix Operations
Matrix Operations SpringSemester 2017.
Section 7.4 Matrix Algebra.
Section 8.4 Matrix Algebra
Matrices Introduction.
Matrices and Matrix Operations
Section 11.4 Matrix Algebra
MATRICES Operations with Matrices Properties of Matrix Operations
Basics of Linear Algebra
Lecture 8 System of Linear Differential Equations fall semester
Matrix Operations SpringSemester 2017.
Matrices - Operations ADJOINT MATRICES
Matrices and Determinants
Presentation transcript:

1 Lecture May 2011 Matrices and Determinants Mathematics XI 2011

2 1.1Matrices 1.2Operations of matrices 1.3Types of matrices 1.4Properties of matrices 1.5Determinants Inverse of a 3  3 matrix Application

3 Zero matrices  Every element of a matrix is zero, it is called a zero matrix, i.e., 1.1 Matrices

4 Sums of matrices 1.2 Operations of matrices  Two matrices of the same order are said to be conformable for addition or subtraction.  Two matrices of different orders cannot be added or subtracted, e.g., are NOT conformable for addition or subtraction.

5 1.3 Types of matrices  Identity matrix  The inverse of a matrix  The transpose of a matrix  Symmetric matrix  Orthogonal matrix

6  (AB) -1 = B -1 A -1  (A T ) T = A and ( A) T =  A T  (A + B) T = A T + B T  (AB) T = B T A T 1.4 Properties of matrix

7 1.5 Determinants Consider a 2  2 matrix: Determinant of order 2  Determinant of A, denoted, is a number and can be evaluated by

8 1.6 Inverse of a 3  3 matrix Cofactor matrix of The cofactor for each element of matrix A:

9 Cofactor matrix of is then given by: 1.6 Inverse of a 3  3 matrix

Inverse of a 3  3 matrix Inverse matrix of is given by:

1.7 Applications Cement Steel Floor(sq.ft) Banglow 200 Yds Banglow 300 Yds Banglow 500 Yds Khi Lhr Isl Total Cost Khi Lhr Isl Banglow 200 Yds Banglow 300 Yds Banglow 500 Yds

Students can also create parallel examples in Financial institution Industries Time management 12

By : Syed Shujaat Hussain Special Thanks to My Master Trainer Mr. Adnan Kiyani 13