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File: Matrix Pdf 172963 | Lecture07cs1004
lecture 5 matrices dheeraj kumar singh 07cs1004 teacher prof niloy ganguly department of computer science and engineering iit kharagpur th 29 july 2008 types of matrices matrix addition and multiplication ...

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                              Lecture 5: Matrices
                                 Dheeraj Kumar Singh
                                      07CS1004
                             Teacher: Prof. Niloy Ganguly
                     Department of Computer Science and Engineering
                                    IIT Kharagpur
                                      th
                                    29 July, 2008
                                    Types of Matrices
                             Matrix Addition and Multiplication
                                 Boolean Matrix Operations
                                         1
                                                                                                                                            1 MATRICES
                          1 Matrices
                          AMatrix is a rectangular array of numbers arranged in m horizontal rows and n vertical
                          columns.
                                                                                   a         a       ...   a      
                                                                                        11      12            1n
                                                                                   a         a       ...   a      
                                                                                   21          22            2n 
                                                                                   .           .             .    
                                                                          A=                                      
                                                                                   .           .             .    
                                                                                                                  
                                                                                   a.        a.      ...   a.     
                                                                                       n1       n2            nn
                                Here we say that A is of order m ×n
                                Acan also be written as
                                                                                         A=[aij]
                          The different types of Matrices are
                               1. Square Matrix: The number of rows and number of columns in a Square Matrix
                                   are equal. If a matrix A is n × n it is said to be a square Matrix of order n. The
                                   entries a ,a ,a ,...,a                    form the Main Diagonal of A.
                                                 11    22    33         nn
                                   For example if                                                             
                                                                                                  1 2 5
                                                                                      A=3 6 0 
                                                                                                  1 9 8
                                   Then A is a square Matrix of order 3.
                               2. Diagonal Matrix: A Square Matrix A = [aij]is said to be a Diagonal Matrix if
                                   every element off its Main Diagonal is 0.
                                   Example :                                                                   
                                                                                                   1 0 0
                                                                                      A1 =  0 6 0 
                                                                                                   0 0 8
                                                                                             1 0 0 0 
                                                                                             0 6 0 0 
                                                                                   A =                           
                                                                                      2      0 0 0 0 
                                                                                                0 0 0 1
                                                                                               2
                                                                                            1 MATRICES
                    3. Zero Matrix: A Matrix is said to be a Zero Matrix if all its entries are 0. A Zero
                       Matrix is denoted by 0
                       Example:                                          
                                                                 0 0 0
                                                         A1 =  0 0 0 
                                                                 0 0 0
                                                          A =· 0 0 ¸
                                                            2      0 0
                    4. Identity Matrix: An n×n diagonal matrix whose all the diagonal elements are
                       1 is called an Identity Matrix of order n.
                                                             1 0 ... 0 
                                                             0 1 ... 0 
                                                                          
                                                             .   .       . 
                                                       I =                
                                                        n    .   .       . 
                                                                          
                                                             .   .       . 
                                                               0 0 ... 1
                    5. SymmetricMatrix: AsquarematrixA = [aij]ofordernissaidtobeasymmetric
                       matrix if a  =a for all i,j such that 1 ≤ i,j ≤ n.
                                  ij    ji
                                                              3
                                                            2 ADDITIONOFMATRICES:
              2 Addition of Matrices:
              Twomatrices A = [a ] and B = [b ] can be added only if they are of the same order. If
                                ij         ij
              AandB are m×n matrices then the matrix
                                              C=A+B
              is defined as cij = aij + bij for 1 <= i <= m, 1 <= j <= n
                 Example :
                                                2 4 1 
                                           A= 1 0 7 
                                                −1 3 6 
                                                 12 3   1
                                           B= 4 1 −7 
                                                 4  6   2
                                                  14 7 2 
                                         A+B= 5 1 0 
                                                    3  9 8
              Some of the properties about Matrix Addition are
                 • A+B=B+A
                 • (A+B)+C=A+(B+C)
                 • A+0=0+A=A
                                                   4
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