{"id":394,"date":"2019-03-12T08:51:19","date_gmt":"2019-03-12T08:51:19","guid":{"rendered":"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/?post_type=chapter&#038;p=394"},"modified":"2019-03-12T09:46:55","modified_gmt":"2019-03-12T09:46:55","slug":"introduction-to-matrices-and-matrix-algebra","status":"publish","type":"chapter","link":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/chapter\/introduction-to-matrices-and-matrix-algebra\/","title":{"rendered":"Introduction to Matrices and Matrix Algebra"},"content":{"raw":"<div><span style=\"float: right\"><a href=\"https:\/\/youtu.be\/wqvQ_TJE9-M\" target=\"_blank\" rel=\"noopener\"><img src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"epgp books\" width=\"75px\" height=\"75px;\" \/><\/a>\r\n<\/span><\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong style=\"text-align: initial;font-size: 1em\">Objectives:<\/strong>\r\n\r\n&nbsp;\r\n\r\n<strong style=\"text-align: initial;font-size: 1em\">1.\u00a0<\/strong><strong style=\"text-align: initial;font-size: 1em\">To familiarise the students with matrices and type of matrices.<\/strong>\r\n\r\n<strong style=\"text-align: initial;font-size: 1em\">2.\u00a0<\/strong><strong style=\"text-align: initial;font-size: 1em\">To let the students carry out the basic operations of matrix algebra.<\/strong>\r\n\r\n&nbsp;\r\n\r\n<strong style=\"text-align: initial;font-size: 1em\">Introduction:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Matrix or Matrices (in plural) are used in many fields like graph theory, computer science, physics <\/span>and<span style=\"text-align: initial;font-size: 1em\"> many more fields. For <\/span>example<span style=\"text-align: initial;font-size: 1em\"> in graph <\/span>theory<span style=\"text-align: initial;font-size: 1em\"> we use adjacency matrix for <\/span>finite<span style=\"text-align: initial;font-size: 1em\"> graph. Each integer value in adjacency matrix represents the number of connection of <\/span>particular<span style=\"text-align: initial;font-size: 1em\"> node. Rotation transformation can be represented in matrix form. Matrices are used to solve <\/span>linear<span style=\"text-align: initial;font-size: 1em\"> system of equations. Matrices are used in cryptography. In cryptography large matrix is used to encode a message which code is difficult to break. <\/span>Receiver<span style=\"text-align: initial;font-size: 1em\"> of <\/span>encoded<span style=\"text-align: initial;font-size: 1em\"> message used <\/span>inverse<span style=\"text-align: initial;font-size: 1em\"> of <\/span>matrix<span style=\"text-align: initial;font-size: 1em\"> to decode the message. Earlier, in optics matrix algebra was used to record reflection and for refraction. Matrices are also used in <\/span>area<span style=\"text-align: initial;font-size: 1em\"> of probability and statistics. For example, <\/span>probability<span style=\"text-align: initial;font-size: 1em\"> vector which is also a matrix shows the probabilities of diverse outcomes of one experiment. So matrices are important in many fields.<\/span><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Matrices are also used in environmental sciences. For example, in <\/span><a style=\"text-align: initial;font-size: 1em\" href=\"https:\/\/en.wikipedia.org\/wiki\/Environmental_impact_assessment\">environmental impact assessment,<\/a><span style=\"text-align: initial;font-size: 1em\"> method, the <\/span><strong style=\"text-align: initial;font-size: 1em\">Leopold matrix<\/strong><span style=\"text-align: initial;font-size: 1em\"> is used as <\/span>tool<span style=\"text-align: initial;font-size: 1em\">. It measures the possible impact of a scheme on the <\/span><a style=\"text-align: initial;font-size: 1em\" href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_environment\">environment. <\/a><span style=\"text-align: initial;font-size: 1em\">The component interaction matrix is used to explore <\/span>a estuarine<span style=\"text-align: initial;font-size: 1em\"> system. <\/span>Similarly<span style=\"text-align: initial;font-size: 1em\"> there are <\/span>many<span style=\"text-align: initial;font-size: 1em\"> other <\/span>use<span style=\"text-align: initial;font-size: 1em\"> of matrices in the field of environmental sciences.<\/span><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">1.1<\/strong><span style=\"text-align: initial;font-size: 1em\">\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Matrices<\/strong><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Definition: A matrix is a rectangular arrangement\/array of objects or elements. The horizontal arrays of a matrix are called its rows and the vertical arrays are called its columns.<\/span><\/p>\r\n<img class=\"aligncenter size-full wp-image-398\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-234.png\" alt=\"\" width=\"277\" height=\"149\" \/>\r\n<div><\/div>\r\n<div>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">is ?\u00d7? (to be read as \u2018m by n\u2019) matrix with ? rows and ? columns. In compact form the above matrix is represented by ?=[?<sub>??<\/sub>]<sub>?\u00d7?<\/sub> or (???)<sub>?\u00d7?.<\/sub><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">We will consider the elements as being real numbers and indicate an element by its row and column position.<\/span><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">The?<sub>??<\/sub>\u2032? are elements of the matrix ?, where ? indicates the row and ? indicates the column of the element. ?\u00d7? is its dimension, where ? is number of rows and ? is number of columns of the matrix.<\/p>\r\n&nbsp;\r\n\r\nExample 1.\r\n\r\n<\/div>\r\n<div>\r\n\r\n<img class=\"alignleft size-full wp-image-399\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235.png\" alt=\"\" width=\"728\" height=\"471\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n&nbsp;\r\n<div>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-400\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236.png\" alt=\"\" width=\"437\" height=\"236\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>1.2<\/strong>\u00a0<strong>Special types of matrices:<\/strong>\r\n\r\n&nbsp;\r\n\r\n<strong>1.2.1<\/strong>\u00a0<strong>Null or zero matrix<\/strong>\r\n\r\n&nbsp;\r\n\r\nIf all elements of a matrix are zero then matrix is called null or zero matrix. It is denoted by ?<sub>?\u00d7?<\/sub>.\r\nFor example:\r\n\r\n<img class=\"alignleft size-full wp-image-401\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237.png\" alt=\"\" width=\"462\" height=\"51\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>1.2.2<\/strong>\u00a0<strong>Square matrix<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">A matrix is called square matrix if the number of rows of matrix are equal to the number of columns. A square matrix is said to have order if it has \u00d7 dimensions.<\/p>\r\n\r\n<ul>\r\n \t<li>In square matrix\u00a0 ?=[?<sub>??<\/sub>] of nth order,<\/li>\r\n<\/ul>\r\n<img class=\"alignleft size-full wp-image-402\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238.png\" alt=\"\" width=\"767\" height=\"382\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n5\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n<div><\/div>\r\n<div><\/div>\r\n<div><\/div>\r\n<div><\/div>\r\n<div><\/div>\r\n&nbsp;\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<strong>1.2.3<\/strong>\u00a0<strong>Diagonal matrix<\/strong>\r\n\r\n&nbsp;\r\n\r\nA square matrix is ?=[?<sub>??<\/sub>] called a diagonal matrix if elements ?<sub>??<\/sub>=0 for which ?\u2260?, thus all the elements, except those in the principal diagonal, are zero.\r\n\r\n&nbsp;\r\n\r\nFor example:\r\n\r\n&nbsp;\r\n\r\nExample 3.\r\n\r\n<img class=\"alignleft size-full wp-image-403\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239.png\" alt=\"\" width=\"747\" height=\"345\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<strong>1.2.4<\/strong>\u00a0<strong>Scalar matrix<\/strong>\r\n\r\n&nbsp;\r\n\r\nIf in diagonal matrix all diagonal entries are same then it is called scalar matrix.\r\n\r\n&nbsp;\r\n\r\nExample 4.\r\n\r\n<img class=\"alignleft size-full wp-image-404\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240.png\" alt=\"\" width=\"778\" height=\"195\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\nExample 5.\r\n\r\n<\/div>\r\n<div>\r\n\r\n<img class=\"alignleft size-full wp-image-405\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241.png\" alt=\"\" width=\"773\" height=\"481\" \/>\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-406\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242.png\" alt=\"\" width=\"788\" height=\"396\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\nSimilarly matrix B of dimension ?\u00d71, is termed as a column vector or column matrix,\r\n\r\n<img class=\"alignleft size-full wp-image-407\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243.png\" alt=\"\" width=\"782\" height=\"372\" \/>\r\n<div>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n<img class=\"alignleft size-full wp-image-408\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244.png\" alt=\"\" width=\"761\" height=\"360\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<div>\r\n\r\n<img class=\"alignleft size-full wp-image-409\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245.png\" alt=\"\" width=\"791\" height=\"478\" \/>\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-410\" style=\"text-align: initial;font-size: 1em\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246.png\" alt=\"\" width=\"768\" height=\"271\" \/>\r\n<div>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Notice, that for addition and subtraction between two matrices A and B, the dimensions of the matrices A and B have to fulfill the following conditions:<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">number of rows of A= number of rows of B,<\/span><\/p>\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">number of columns of A=number of columns of B,<\/span><\/p>\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Otherwise, <\/span>addition<span style=\"text-align: initial;font-size: 1em\"> is not defined.<\/span><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">1.3.3<\/strong><span style=\"text-align: initial;font-size: 1em\">\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Scalar Multiplication:<\/strong><\/p>\r\n&nbsp;\r\n\r\nLet ?\u2208?, then ??=[??<sub>??<\/sub>]<sub>?\u00d7?<\/sub>, so all the elements of matrix ? will be multiplied by scalar ?.\r\n\r\n&nbsp;\r\n\r\nExample 8.\r\n<div>\r\n\r\n<img class=\"alignleft size-full wp-image-411\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247.png\" alt=\"\" width=\"819\" height=\"600\" \/>\r\n\r\n&nbsp;\r\n\r\nSimilarly the other parts can also be proved as all the results follow from the properties of real numbers.\r\n\r\n&nbsp;\r\n\r\n<strong style=\"text-align: initial;font-size: 1em\">Additive Identity and additive Inverse:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">Additive Identity: <\/strong><span style=\"text-align: initial;font-size: 1em\">The additive identity of <\/span>set<span style=\"text-align: initial;font-size: 1em\"> of matrices of order \u00d7 is <\/span>matrix<span style=\"text-align: initial;font-size: 1em\">, which, when added to any element in the set, <\/span>yields.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">Additive Inverse: <\/strong><span style=\"text-align: initial;font-size: 1em\">The additive inverse of a matrix of order \u00d7 is the matrix of order \u00d7 that, when added <\/span>to ,<span style=\"text-align: initial;font-size: 1em\"> yields additive identity of <\/span>set<span style=\"text-align: initial;font-size: 1em\"> of matrices of order <\/span>\u00d7.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Let ? be ?\u00d7? matrix then<\/span><\/p>\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">a) For null matrix ?<sub>?\u00d7?<\/sub>, we have 0+?=?=?+0, so here the matrix ?<sub>?\u00d7?<\/sub> is additive identity.<\/span><\/p>\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">b) There also <\/span>exist<span style=\"text-align: initial;font-size: 1em\"> a matrix ? such that ?+?=?=?+?. This matrix ? is called additive inverse of matrix ? and it is denoted as \u2212?<\/span><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">1.3.4\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Multiplication:<\/strong><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Two matrices A and B can be multiplied, only if the number of <\/span><strong style=\"text-align: initial;font-size: 1em\">columns of A<\/strong><span style=\"text-align: initial;font-size: 1em\"> = number of <\/span><strong style=\"text-align: initial;font-size: 1em\">rows of B<\/strong><span style=\"text-align: initial;font-size: 1em\">. If this condition is fulfilled, then it is possible to define the product AB.<\/span><\/p>\r\n\r\n<\/div>\r\n<div>\r\n\r\n<img class=\"alignleft size-full wp-image-412\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248.png\" alt=\"\" width=\"770\" height=\"303\" \/>\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n?<sub>??<\/sub> element of product matrix (??)= sum of the product of elements of ?<sup>?\u210e<\/sup> row of ? with the corresponding elements of ??\u210e column of ?.\r\n\r\n&nbsp;\r\n\r\nNOTE If ? and ? are two matrices such that ?? exists, the ?? may or may not exist.\r\n\r\n<img class=\"alignleft size-full wp-image-413\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249.png\" alt=\"\" width=\"748\" height=\"522\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\nNOTE In this case ?? does not exist, because the number of column in ? is not equal to the number of rows in ?.\r\n\r\n&nbsp;\r\n\r\nTheorem 1. Matrix multiplication is not commutative in general.\r\n\r\ni.e. ??\u2260?? as shown in above Example 9, ?? exist whereas ?? does not exist.\r\n\r\n&nbsp;\r\n\r\nTheorem 2. Matrix multiplication is associative i.e. (??)?=?(??), whenever both sides are defined.\r\n\r\n&nbsp;\r\n\r\nTheorem 3. Matrix multiplication is distributive over matrix addition i.e.,\r\n\r\n(i) ?(?+?)=??+??\r\n\r\n(ii) (?+?)?=??+?? whenever both sides of equality are defined.\r\n\r\nTheorem 4. If ? is an ?\u00d7? matrix, then ?<sub>?<\/sub>?=?=??<sub>?<\/sub>.\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-415\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250.png\" alt=\"\" width=\"774\" height=\"467\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Properties of transpose:<\/strong>\r\n\r\n&nbsp;\r\n\r\n1. For any matrix ?,(?<sup>?<\/sup>)<sup>?<\/sup>=?.\r\n\r\n2. For any two matrices ? and ? of the same order, (?+?)<sup>?<\/sup>=?<sup>?<\/sup>+?<sup>?<\/sup>.\r\n\r\n3. If ? is a matrix and ? is a scalar, then (??)<sup>?<\/sup>=?(?)<sup>?<\/sup>.\r\n\r\n4. If ? and ? are two matrices such that ?? is defined, then (??)<sup>?<\/sup>=?<sup>?<\/sup>?<sup>?<\/sup>\r\n\r\n&nbsp;\r\n\r\n<strong>1.3.6 Symmetric and Skew-Symmetric Matrices<\/strong>\r\n\r\n&nbsp;\r\n\r\n<strong>1.3.6.1 SYMMETRIC MATRIX<\/strong> A square matrix ?=(?<sub>??<\/sub>) is called a symmetric matrix, if ?<sub>??<\/sub>=?<sub>??<\/sub> for all ?,?.\r\n\r\nIt follows from definition of a symmetric matrix that ? is symmetric\r\n\r\nIf and only if ?<sub>??<\/sub>=?<sub>??<\/sub> for all ?,?\r\n\r\nIf and only if ?=?<sup>?<\/sup>.\r\n\r\n&nbsp;\r\n\r\nThus, a square matrix ? is symmetric matrix if and only if ?<sup>?<\/sup>=?.\r\n\r\n<img class=\"alignleft size-full wp-image-416\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251.png\" alt=\"\" width=\"783\" height=\"550\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-417\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252.png\" alt=\"\" width=\"582\" height=\"557\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-418\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253.png\" alt=\"\" width=\"579\" height=\"327\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Example 16. Every square matrix can be uniquely expressed as the sum of a symmetric and a skew-symmetric matrix.<\/p>\r\n&nbsp;\r\n\r\nSOLUTION Let ? be a square matrix. Then,\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-420\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254.png\" alt=\"\" width=\"570\" height=\"580\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thus ?=?+?, where ? is a symmetric matrix and ? is a skew-symmetric matrix. Hence ? is expressible as the sum of symmetric and skew-symmetric matrix.<\/p>\r\n<img class=\"alignleft size-full wp-image-421\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255.png\" alt=\"\" width=\"735\" height=\"114\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-422\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256.png\" alt=\"\" width=\"681\" height=\"435\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\nThus ? can be expressed as sum of symmetric and skew-symmetric matrix.\r\n\r\nExample: A matrix which is both symmetric as well as skew symmetric is null matrix.\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignleft size-full wp-image-423\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257.png\" alt=\"\" width=\"714\" height=\"386\" \/>\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Summary:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">In this module, we have introduces the concept of matrices. We have discussed the various types of matrices like null matrix, square matrix, diagonal matrix, scalar matrix, unit matrix, triangle matrix, diagonally dominant matrix. We have also discussed the some basic laws of matrix algebra. We have discussed that when two matrices are equal. Also we have discussed when two matrices can be added or subtracted or multiplied. Then we have introduced the concept of transpose of a matrix and its properties. It is also shown that when will a matrix be symmetric or skew-symmetric. Then it is shown that every square matrix can be written as sum of symmetric and skew symmetric matrix.<\/p>\r\n\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><strong>you can view video on General Introduction to the Course on Knowledge Society<\/strong><\/td>\r\n<td><a href=\"https:\/\/youtu.be\/wqvQ_TJE9-M\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-120\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"\" width=\"36\" height=\"36\" \/><\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n&nbsp;\r\n\r\n<strong>Suggested Books for reading:<\/strong>\r\n\r\n&nbsp;\r\n\r\n[1] Kreyszig, Erwin. <em>Advanced engineering mathematics.<\/em> John Wiley &amp; Sons, 2010.\r\n\r\n<span style=\"font-size: 1em\">[2] Lang, Serge. <\/span><em style=\"font-size: 1em\">Linear Algebra.<\/em><span style=\"font-size: 1em\"> Springer-Verlag, 1987.<\/span>\r\n\r\n<span style=\"font-size: 1em\">[3] Bronson, Richard. <\/span><em style=\"font-size: 1em\">Matrix Methods: An Introduction<\/em><span style=\"font-size: 1em\">. <\/span>Academic Press,","rendered":"<div><span style=\"float: right\"><a href=\"https:\/\/youtu.be\/wqvQ_TJE9-M\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"epgp books\" width=\"75px\" height=\"75px;\" \/><\/a><br \/>\n<\/span><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong style=\"text-align: initial;font-size: 1em\">Objectives:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong style=\"text-align: initial;font-size: 1em\">1.\u00a0<\/strong><strong style=\"text-align: initial;font-size: 1em\">To familiarise the students with matrices and type of matrices.<\/strong><\/p>\n<p><strong style=\"text-align: initial;font-size: 1em\">2.\u00a0<\/strong><strong style=\"text-align: initial;font-size: 1em\">To let the students carry out the basic operations of matrix algebra.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong style=\"text-align: initial;font-size: 1em\">Introduction:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Matrix or Matrices (in plural) are used in many fields like graph theory, computer science, physics <\/span>and<span style=\"text-align: initial;font-size: 1em\"> many more fields. For <\/span>example<span style=\"text-align: initial;font-size: 1em\"> in graph <\/span>theory<span style=\"text-align: initial;font-size: 1em\"> we use adjacency matrix for <\/span>finite<span style=\"text-align: initial;font-size: 1em\"> graph. Each integer value in adjacency matrix represents the number of connection of <\/span>particular<span style=\"text-align: initial;font-size: 1em\"> node. Rotation transformation can be represented in matrix form. Matrices are used to solve <\/span>linear<span style=\"text-align: initial;font-size: 1em\"> system of equations. Matrices are used in cryptography. In cryptography large matrix is used to encode a message which code is difficult to break. <\/span>Receiver<span style=\"text-align: initial;font-size: 1em\"> of <\/span>encoded<span style=\"text-align: initial;font-size: 1em\"> message used <\/span>inverse<span style=\"text-align: initial;font-size: 1em\"> of <\/span>matrix<span style=\"text-align: initial;font-size: 1em\"> to decode the message. Earlier, in optics matrix algebra was used to record reflection and for refraction. Matrices are also used in <\/span>area<span style=\"text-align: initial;font-size: 1em\"> of probability and statistics. For example, <\/span>probability<span style=\"text-align: initial;font-size: 1em\"> vector which is also a matrix shows the probabilities of diverse outcomes of one experiment. So matrices are important in many fields.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Matrices are also used in environmental sciences. For example, in <\/span><a style=\"text-align: initial;font-size: 1em\" href=\"https:\/\/en.wikipedia.org\/wiki\/Environmental_impact_assessment\">environmental impact assessment,<\/a><span style=\"text-align: initial;font-size: 1em\"> method, the <\/span><strong style=\"text-align: initial;font-size: 1em\">Leopold matrix<\/strong><span style=\"text-align: initial;font-size: 1em\"> is used as <\/span>tool<span style=\"text-align: initial;font-size: 1em\">. It measures the possible impact of a scheme on the <\/span><a style=\"text-align: initial;font-size: 1em\" href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_environment\">environment. <\/a><span style=\"text-align: initial;font-size: 1em\">The component interaction matrix is used to explore <\/span>a estuarine<span style=\"text-align: initial;font-size: 1em\"> system. <\/span>Similarly<span style=\"text-align: initial;font-size: 1em\"> there are <\/span>many<span style=\"text-align: initial;font-size: 1em\"> other <\/span>use<span style=\"text-align: initial;font-size: 1em\"> of matrices in the field of environmental sciences.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">1.1<\/strong><span style=\"text-align: initial;font-size: 1em\">\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Matrices<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Definition: A matrix is a rectangular arrangement\/array of objects or elements. The horizontal arrays of a matrix are called its rows and the vertical arrays are called its columns.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-398\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-234.png\" alt=\"\" width=\"277\" height=\"149\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-234.png 277w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-234-65x35.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-234-225x121.png 225w\" sizes=\"auto, (max-width: 277px) 100vw, 277px\" \/><\/p>\n<div><\/div>\n<div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">is ?\u00d7? (to be read as \u2018m by n\u2019) matrix with ? rows and ? columns. In compact form the above matrix is represented by ?=[?<sub>??<\/sub>]<sub>?\u00d7?<\/sub> or (???)<sub>?\u00d7?.<\/sub><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">We will consider the elements as being real numbers and indicate an element by its row and column position.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">The?<sub>??<\/sub>\u2032? are elements of the matrix ?, where ? indicates the row and ? indicates the column of the element. ?\u00d7? is its dimension, where ? is number of rows and ? is number of columns of the matrix.<\/p>\n<p>&nbsp;<\/p>\n<p>Example 1.<\/p>\n<\/div>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-399\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235.png\" alt=\"\" width=\"728\" height=\"471\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235.png 728w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235-300x194.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235-65x42.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235-225x146.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-235-350x226.png 350w\" sizes=\"auto, (max-width: 728px) 100vw, 728px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-400\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236.png\" alt=\"\" width=\"437\" height=\"236\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236.png 437w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236-300x162.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236-65x35.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236-225x122.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-236-350x189.png 350w\" sizes=\"auto, (max-width: 437px) 100vw, 437px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>1.2<\/strong>\u00a0<strong>Special types of matrices:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>1.2.1<\/strong>\u00a0<strong>Null or zero matrix<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>If all elements of a matrix are zero then matrix is called null or zero matrix. It is denoted by ?<sub>?\u00d7?<\/sub>.<br \/>\nFor example:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-401\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237.png\" alt=\"\" width=\"462\" height=\"51\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237.png 462w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237-300x33.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237-65x7.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237-225x25.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-237-350x39.png 350w\" sizes=\"auto, (max-width: 462px) 100vw, 462px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>1.2.2<\/strong>\u00a0<strong>Square matrix<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">A matrix is called square matrix if the number of rows of matrix are equal to the number of columns. A square matrix is said to have order if it has \u00d7 dimensions.<\/p>\n<ul>\n<li>In square matrix\u00a0 ?=[?<sub>??<\/sub>] of nth order,<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-402\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238.png\" alt=\"\" width=\"767\" height=\"382\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238.png 767w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238-300x149.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238-65x32.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238-225x112.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-238-350x174.png 350w\" sizes=\"auto, (max-width: 767px) 100vw, 767px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>5<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<p>&nbsp;<\/p>\n<div>\n<p>&nbsp;<\/p>\n<p><strong>1.2.3<\/strong>\u00a0<strong>Diagonal matrix<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>A square matrix is ?=[?<sub>??<\/sub>] called a diagonal matrix if elements ?<sub>??<\/sub>=0 for which ?\u2260?, thus all the elements, except those in the principal diagonal, are zero.<\/p>\n<p>&nbsp;<\/p>\n<p>For example:<\/p>\n<p>&nbsp;<\/p>\n<p>Example 3.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-403\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239.png\" alt=\"\" width=\"747\" height=\"345\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239.png 747w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239-300x139.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239-65x30.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239-225x104.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-239-350x162.png 350w\" sizes=\"auto, (max-width: 747px) 100vw, 747px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div>\n<p>&nbsp;<\/p>\n<p><strong>1.2.4<\/strong>\u00a0<strong>Scalar matrix<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>If in diagonal matrix all diagonal entries are same then it is called scalar matrix.<\/p>\n<p>&nbsp;<\/p>\n<p>Example 4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-404\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240.png\" alt=\"\" width=\"778\" height=\"195\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240.png 778w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240-300x75.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240-768x192.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240-65x16.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240-225x56.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-240-350x88.png 350w\" sizes=\"auto, (max-width: 778px) 100vw, 778px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Example 5.<\/p>\n<\/div>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-405\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241.png\" alt=\"\" width=\"773\" height=\"481\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241.png 773w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241-300x187.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241-768x478.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241-65x40.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241-225x140.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-241-350x218.png 350w\" sizes=\"auto, (max-width: 773px) 100vw, 773px\" \/><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-406\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242.png\" alt=\"\" width=\"788\" height=\"396\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242.png 788w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242-300x151.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242-768x386.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242-65x33.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242-225x113.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-242-350x176.png 350w\" sizes=\"auto, (max-width: 788px) 100vw, 788px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Similarly matrix B of dimension ?\u00d71, is termed as a column vector or column matrix,<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-407\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243.png\" alt=\"\" width=\"782\" height=\"372\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243.png 782w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243-300x143.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243-768x365.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243-65x31.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243-225x107.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-243-350x166.png 350w\" sizes=\"auto, (max-width: 782px) 100vw, 782px\" \/><\/p>\n<div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-408\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244.png\" alt=\"\" width=\"761\" height=\"360\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244.png 761w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244-300x142.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244-65x31.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244-225x106.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-244-350x166.png 350w\" sizes=\"auto, (max-width: 761px) 100vw, 761px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-409\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245.png\" alt=\"\" width=\"791\" height=\"478\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245.png 791w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245-300x181.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245-768x464.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245-65x39.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245-225x136.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-245-350x212.png 350w\" sizes=\"auto, (max-width: 791px) 100vw, 791px\" \/><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-410\" style=\"text-align: initial;font-size: 1em\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246.png\" alt=\"\" width=\"768\" height=\"271\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246-300x106.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246-65x23.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246-225x79.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-246-350x124.png 350w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/p>\n<div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Notice, that for addition and subtraction between two matrices A and B, the dimensions of the matrices A and B have to fulfill the following conditions:<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">number of rows of A= number of rows of B,<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">number of columns of A=number of columns of B,<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Otherwise, <\/span>addition<span style=\"text-align: initial;font-size: 1em\"> is not defined.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">1.3.3<\/strong><span style=\"text-align: initial;font-size: 1em\">\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Scalar Multiplication:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Let ?\u2208?, then ??=[??<sub>??<\/sub>]<sub>?\u00d7?<\/sub>, so all the elements of matrix ? will be multiplied by scalar ?.<\/p>\n<p>&nbsp;<\/p>\n<p>Example 8.<\/p>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-411\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247.png\" alt=\"\" width=\"819\" height=\"600\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247.png 819w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247-300x220.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247-768x563.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247-65x48.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247-225x165.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-247-350x256.png 350w\" sizes=\"auto, (max-width: 819px) 100vw, 819px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Similarly the other parts can also be proved as all the results follow from the properties of real numbers.<\/p>\n<p>&nbsp;<\/p>\n<p><strong style=\"text-align: initial;font-size: 1em\">Additive Identity and additive Inverse:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">Additive Identity: <\/strong><span style=\"text-align: initial;font-size: 1em\">The additive identity of <\/span>set<span style=\"text-align: initial;font-size: 1em\"> of matrices of order \u00d7 is <\/span>matrix<span style=\"text-align: initial;font-size: 1em\">, which, when added to any element in the set, <\/span>yields.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong style=\"text-align: initial;font-size: 1em\">Additive Inverse: <\/strong><span style=\"text-align: initial;font-size: 1em\">The additive inverse of a matrix of order \u00d7 is the matrix of order \u00d7 that, when added <\/span>to ,<span style=\"text-align: initial;font-size: 1em\"> yields additive identity of <\/span>set<span style=\"text-align: initial;font-size: 1em\"> of matrices of order <\/span>\u00d7.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Let ? be ?\u00d7? matrix then<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">a) For null matrix ?<sub>?\u00d7?<\/sub>, we have 0+?=?=?+0, so here the matrix ?<sub>?\u00d7?<\/sub> is additive identity.<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">b) There also <\/span>exist<span style=\"text-align: initial;font-size: 1em\"> a matrix ? such that ?+?=?=?+?. This matrix ? is called additive inverse of matrix ? and it is denoted as \u2212?<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">1.3.4\u00a0<\/span><strong style=\"text-align: initial;font-size: 1em\">Multiplication:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><span style=\"text-align: initial;font-size: 1em\">Two matrices A and B can be multiplied, only if the number of <\/span><strong style=\"text-align: initial;font-size: 1em\">columns of A<\/strong><span style=\"text-align: initial;font-size: 1em\"> = number of <\/span><strong style=\"text-align: initial;font-size: 1em\">rows of B<\/strong><span style=\"text-align: initial;font-size: 1em\">. If this condition is fulfilled, then it is possible to define the product AB.<\/span><\/p>\n<\/div>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-412\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248.png\" alt=\"\" width=\"770\" height=\"303\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248.png 770w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248-300x118.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248-768x302.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248-65x26.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248-225x89.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-248-350x138.png 350w\" sizes=\"auto, (max-width: 770px) 100vw, 770px\" \/><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>?<sub>??<\/sub> element of product matrix (??)= sum of the product of elements of ?<sup>?\u210e<\/sup> row of ? with the corresponding elements of ??\u210e column of ?.<\/p>\n<p>&nbsp;<\/p>\n<p>NOTE If ? and ? are two matrices such that ?? exists, the ?? may or may not exist.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-413\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249.png\" alt=\"\" width=\"748\" height=\"522\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249.png 748w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249-300x209.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249-65x45.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249-225x157.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-249-350x244.png 350w\" sizes=\"auto, (max-width: 748px) 100vw, 748px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>NOTE In this case ?? does not exist, because the number of column in ? is not equal to the number of rows in ?.<\/p>\n<p>&nbsp;<\/p>\n<p>Theorem 1. Matrix multiplication is not commutative in general.<\/p>\n<p>i.e. ??\u2260?? as shown in above Example 9, ?? exist whereas ?? does not exist.<\/p>\n<p>&nbsp;<\/p>\n<p>Theorem 2. Matrix multiplication is associative i.e. (??)?=?(??), whenever both sides are defined.<\/p>\n<p>&nbsp;<\/p>\n<p>Theorem 3. Matrix multiplication is distributive over matrix addition i.e.,<\/p>\n<p>(i) ?(?+?)=??+??<\/p>\n<p>(ii) (?+?)?=??+?? whenever both sides of equality are defined.<\/p>\n<p>Theorem 4. If ? is an ?\u00d7? matrix, then ?<sub>?<\/sub>?=?=??<sub>?<\/sub>.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-415\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250.png\" alt=\"\" width=\"774\" height=\"467\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250.png 774w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250-300x181.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250-768x463.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250-65x39.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250-225x136.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-250-350x211.png 350w\" sizes=\"auto, (max-width: 774px) 100vw, 774px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Properties of transpose:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>1. For any matrix ?,(?<sup>?<\/sup>)<sup>?<\/sup>=?.<\/p>\n<p>2. For any two matrices ? and ? of the same order, (?+?)<sup>?<\/sup>=?<sup>?<\/sup>+?<sup>?<\/sup>.<\/p>\n<p>3. If ? is a matrix and ? is a scalar, then (??)<sup>?<\/sup>=?(?)<sup>?<\/sup>.<\/p>\n<p>4. If ? and ? are two matrices such that ?? is defined, then (??)<sup>?<\/sup>=?<sup>?<\/sup>?<sup>?<\/sup><\/p>\n<p>&nbsp;<\/p>\n<p><strong>1.3.6 Symmetric and Skew-Symmetric Matrices<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>1.3.6.1 SYMMETRIC MATRIX<\/strong> A square matrix ?=(?<sub>??<\/sub>) is called a symmetric matrix, if ?<sub>??<\/sub>=?<sub>??<\/sub> for all ?,?.<\/p>\n<p>It follows from definition of a symmetric matrix that ? is symmetric<\/p>\n<p>If and only if ?<sub>??<\/sub>=?<sub>??<\/sub> for all ?,?<\/p>\n<p>If and only if ?=?<sup>?<\/sup>.<\/p>\n<p>&nbsp;<\/p>\n<p>Thus, a square matrix ? is symmetric matrix if and only if ?<sup>?<\/sup>=?.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-416\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251.png\" alt=\"\" width=\"783\" height=\"550\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251.png 783w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251-300x211.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251-768x539.png 768w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251-65x46.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251-225x158.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-251-350x246.png 350w\" sizes=\"auto, (max-width: 783px) 100vw, 783px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-417\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252.png\" alt=\"\" width=\"582\" height=\"557\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252.png 582w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252-300x287.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252-65x62.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252-225x215.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-252-350x335.png 350w\" sizes=\"auto, (max-width: 582px) 100vw, 582px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-418\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253.png\" alt=\"\" width=\"579\" height=\"327\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253.png 579w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253-300x169.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253-65x37.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253-225x127.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-253-350x198.png 350w\" sizes=\"auto, (max-width: 579px) 100vw, 579px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Example 16. Every square matrix can be uniquely expressed as the sum of a symmetric and a skew-symmetric matrix.<\/p>\n<p>&nbsp;<\/p>\n<p>SOLUTION Let ? be a square matrix. Then,<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-420\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254.png\" alt=\"\" width=\"570\" height=\"580\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254.png 570w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254-295x300.png 295w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254-65x66.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254-225x229.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-254-350x356.png 350w\" sizes=\"auto, (max-width: 570px) 100vw, 570px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thus ?=?+?, where ? is a symmetric matrix and ? is a skew-symmetric matrix. Hence ? is expressible as the sum of symmetric and skew-symmetric matrix.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-421\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255.png\" alt=\"\" width=\"735\" height=\"114\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255.png 735w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255-300x47.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255-65x10.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255-225x35.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-255-350x54.png 350w\" sizes=\"auto, (max-width: 735px) 100vw, 735px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-422\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256.png\" alt=\"\" width=\"681\" height=\"435\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256.png 681w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256-300x192.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256-65x42.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256-225x144.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-256-350x224.png 350w\" sizes=\"auto, (max-width: 681px) 100vw, 681px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Thus ? can be expressed as sum of symmetric and skew-symmetric matrix.<\/p>\n<p>Example: A matrix which is both symmetric as well as skew symmetric is null matrix.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-423\" src=\"http:\/\/esp14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257.png\" alt=\"\" width=\"714\" height=\"386\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257.png 714w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257-300x162.png 300w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257-65x35.png 65w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257-225x122.png 225w, https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-content\/uploads\/sites\/176\/2019\/03\/Untitled-257-350x189.png 350w\" sizes=\"auto, (max-width: 714px) 100vw, 714px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Summary:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">In this module, we have introduces the concept of matrices. We have discussed the various types of matrices like null matrix, square matrix, diagonal matrix, scalar matrix, unit matrix, triangle matrix, diagonally dominant matrix. We have also discussed the some basic laws of matrix algebra. We have discussed that when two matrices are equal. Also we have discussed when two matrices can be added or subtracted or multiplied. Then we have introduced the concept of transpose of a matrix and its properties. It is also shown that when will a matrix be symmetric or skew-symmetric. Then it is shown that every square matrix can be written as sum of symmetric and skew symmetric matrix.<\/p>\n<table>\n<tbody>\n<tr>\n<td><strong>you can view video on General Introduction to the Course on Knowledge Society<\/strong><\/td>\n<td><a href=\"https:\/\/youtu.be\/wqvQ_TJE9-M\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-120\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"\" width=\"36\" height=\"36\" \/><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Suggested Books for reading:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>[1] Kreyszig, Erwin. <em>Advanced engineering mathematics.<\/em> John Wiley &amp; Sons, 2010.<\/p>\n<p><span style=\"font-size: 1em\">[2] Lang, Serge. <\/span><em style=\"font-size: 1em\">Linear Algebra.<\/em><span style=\"font-size: 1em\"> Springer-Verlag, 1987.<\/span><\/p>\n<p><span style=\"font-size: 1em\">[3] Bronson, Richard. <\/span><em style=\"font-size: 1em\">Matrix Methods: An Introduction<\/em><span style=\"font-size: 1em\">. <\/span>Academic Press,<\/p>\n","protected":false},"author":3,"menu_order":21,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["dr-sachin-kumar"],"pb_section_license":""},"chapter-type":[],"contributor":[60],"license":[],"class_list":["post-394","chapter","type-chapter","status-publish","hentry","contributor-dr-sachin-kumar"],"part":3,"_links":{"self":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapters\/394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":5,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapters\/394\/revisions"}],"predecessor-version":[{"id":424,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapters\/394\/revisions\/424"}],"part":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapters\/394\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/wp\/v2\/media?parent=394"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/pressbooks\/v2\/chapter-type?post=394"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/wp\/v2\/contributor?post=394"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/esp14\/wp-json\/wp\/v2\/license?post=394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}