{"id":2218,"date":"2022-03-30T08:48:52","date_gmt":"2022-03-30T08:48:52","guid":{"rendered":"https:\/\/swatilathia.com\/?page_id=2218"},"modified":"2022-07-29T03:46:19","modified_gmt":"2022-07-29T03:46:19","slug":"videos-matrix","status":"publish","type":"page","link":"https:\/\/swatilathia.com\/?page_id=2218","title":{"rendered":"Videos &#8211; Matrix"},"content":{"rendered":"<body>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69dd6d69640e9\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69dd6d69640e9\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Matrix_Introduction_%E2%80%93_Structure_%E2%80%93_Order_of_Matrix\" >Matrix Introduction \u2013 Structure \u2013 Order of Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Types_of_Matrices\" >Types of Matrices<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Row_Column_Null_Square_Diagonal_Scalar_Identity_Triangular_Upper_Lower\" >Row, Column, Null, Square, Diagonal, Scalar, Identity, Triangular (Upper &amp; Lower)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Transpose_of_Matrix\" >Transpose of Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Symmetric_Matrix_Skew_Symmetric_Matrix\" >Symmetric Matrix &amp; Skew Symmetric Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Singular_Matrix_Equal_Matrix_with_example\" >Singular Matrix &amp; Equal Matrix with example<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Addition_of_Matrices\" >Addition of Matrices<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Scalar_Multiplication_of_Matrix\" >Scalar Multiplication of Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Matrix_Multiplication_and_its_properties\" >Matrix Multiplication and its properties<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Inverse_of_Matrix\" >Inverse of Matrix<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Determinant\" >Determinant<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#How_to_find_determinant_of_given_matrix\" >How to find determinant of given matrix<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Minor\" >Minor<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#How_to_calculate_minors_of_2_x_2_and_3_x_3_Matrix\" >How to calculate minors of 2 x 2 and 3 x 3 Matrix<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Co-factor\" >Co-factor<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#How_to_find_Co-factors_of_elements_of_2_x_2_Matrix\" >How to find Co-factors of elements of 2 x 2 Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#How_to_find_Co-factors_of_elements_of_3_x_3_Matrix\" >How to find Co-factors of elements of 3 x 3 Matrix<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/swatilathia.com\/?page_id=2218\/#Steps_to_calculate_Inverse_of_Matrix\" >Steps to calculate Inverse of Matrix<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Matrix_Introduction_%E2%80%93_Structure_%E2%80%93_Order_of_Matrix\"><\/span>Matrix Introduction \u2013 Structure \u2013 Order of Matrix<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Introduction &amp; Definition | Structure &amp; Order of Matrix with example | Part 1\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/dvq_7hl8cLI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Types_of_Matrices\"><\/span>Types of Matrices <span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Row_Column_Null_Square_Diagonal_Scalar_Identity_Triangular_Upper_Lower\"><\/span>Row, Column, Null, Square, Diagonal, Scalar, Identity, Triangular (Upper &amp; Lower)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Different Types of Matrix | Easy Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/aPmIfcfFVJQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Transpose_of_Matrix\"><\/span>Transpose of Matrix<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Types of Matrix | Transpose of Matrix | Denoted as A ' | Easy Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/eNvO0uDVTd8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Symmetric_Matrix_Skew_Symmetric_Matrix\"><\/span>Symmetric Matrix &amp; Skew Symmetric Matrix<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Types of Matrix | Symmetric Matrix | Skew Symmetric Matrix| Easy Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/6WNlnAw8bhA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Singular_Matrix_Equal_Matrix_with_example\"><\/span>Singular Matrix &amp; Equal Matrix with example<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Types of Matrix | Singular Matrix | Equal Matrix | Easy Examples\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/DG6zvXDMy9Q?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Addition_of_Matrices\"><\/span>Addition of Matrices<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">The addition of two or more matrices are possible if the order of the matrices are same. That means, A = [a<sub>ij<\/sub>] and B = [b<sub>ij<\/sub>] be two matrices of order m x n, then their addition is possible and the resultant matrix is of order m x n. Look at the below video.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Scalar_Multiplication_of_Matrix\"><\/span>Scalar Multiplication of Matrix<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">If A = [a<sub>ij<\/sub>] be m x n matrix and k be any real number then kA is again m x n matrix obtained by multiplying each element of A by k. The matrix kA is called the scalar multiple of A by k. Here k is generally called scalar. Look at the below video.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Addition(Subtraction) of Matrices | Scalar Multiplication of Matrix | Easy Examples\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/uzre8CkEJ_w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Matrix_Multiplication_and_its_properties\"><\/span>Matrix Multiplication and its properties<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">Two matrices A and B are said to be conformable for multiplication if the number of columns of A is the same as the number of rows of B, that means A is matrix of order m x n and B is of order p x q then product of A &amp; B is possible if and only if, n =q and resulting matrix will have order m x q. Symbolically, A<sub>m x n<\/sub> B <sub>p x q<\/sub> = C <sub>m x q<\/sub><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Marix | Matrix Multiplication Definition | Properties of Matrix Multiplication\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/TuqwunBR-Mw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Inverse_of_Matrix\"><\/span>Inverse of Matrix<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"has-medium-font-size\">Inverse of Matrix for a matrix A is denoted by A<sup>-1<\/sup>. The\u00a0inverse of matrix\u00a0is another matrix, which on multiplication with the given matrix gives the multiplicative identity. <\/p>\n\n\n\n<p class=\"has-medium-font-size\">For a matrix A, its inverse is A<sup>-1<\/sup>, and A.A<sup>-1\u00a0<\/sup>= A<sup>-1<\/sup>\u00b7A = I, where I is the identity matrix. The matrix whose determinant is non-zero and for which the inverse matrix can be calculated is called an invertible matrix.\u00a0<\/p>\n\n\n\n<p class=\"has-medium-font-size\">To find <strong>A<sup>-1<\/sup> = \u00a0adj(A)\/|A|<\/strong>  where |A| \u2260 0 and A is square matrix<\/p>\n\n\n\n<p class=\"has-medium-font-size\">Before start calculating inverse matrix, we need to understand determinant, minors an co-factors of matrix.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Determinant\"><\/span>Determinant<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">A matrix\u2019s determinant is the matrix\u2019s single unique value representation. Any row or column of the provided matrix can be used to calculate the determinant of the matrix. The sum of the product of the elements and their co-factors in a given row or column of the matrix is the determinant of the matrix.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_find_determinant_of_given_matrix\"><\/span>How to find determinant of given matrix<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Maths | Matrix | Determinant of 3x3 order Matrix | Example 12(2)\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/8NLwtpLZYXw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Minor\"><\/span>Minor<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">The minor is defined for every element of a matrix. The minor of a particular element is the determinant obtained after eliminating the row and column containing this element.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_calculate_minors_of_2_x_2_and_3_x_3_Matrix\"><\/span>How to calculate minors of 2 x 2 and 3 x 3 Matrix<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Matrix | 3x3 order matrix | Minors of element of 3x3 determinant | Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/7qDegwg7ymU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Co-factor\"><\/span>Co-factor<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">The co-factor of an element is calculated by multiplying the minor with -1 to the exponent of the sum of the row and column elements in order representation of that element.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Co-factor of\u00a0a<sub>ij<\/sub>\u00a0= (-1)<sup>i + j<\/sup>\u00d7 minor of\u00a0a<sub>ij<\/sub><\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_find_Co-factors_of_elements_of_2_x_2_Matrix\"><\/span>How to find Co-factors of elements of 2 x 2 Matrix<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Matrix | How to find Cofector of an element | 2x2 order matrix | Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/EwU18RpoDgc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_find_Co-factors_of_elements_of_3_x_3_Matrix\"><\/span>How to find Co-factors of elements of 3 x 3 Matrix<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"zak-oembed-container\"><div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" title=\"Matrix | Find Cofector of an element of 3x3 matrix | Example\" width=\"812\" height=\"457\" src=\"https:\/\/www.youtube.com\/embed\/fT9DYdUyE1w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Steps_to_calculate_Inverse_of_Matrix\"><\/span>Steps to calculate Inverse of Matrix<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">Now, you can calculate the inverse of a matrix by following the given steps:<\/p>\n\n\n\n<ul class=\"has-medium-font-size wp-block-list\"><li><strong>Step 1:<\/strong>\u00a0Calculate the\u00a0minors\u00a0of all elements of A.<\/li><li><strong>Step 2:\u00a0<\/strong>Then compute co-factors of all elements and write the co-factor matrix by replacing the elements of A by their corresponding co-factors.<\/li><li><strong>Step 3:<\/strong>\u00a0Find the adjoint of A (written as adj A) by taking the transpose of co-factor matrix of A.<\/li><li><strong>Step 4:<\/strong>\u00a0Multiply adj A by reciprocal of determinant.<\/li><\/ul>\n\n\n\n<p class=\"has-medium-font-size\">For a matrix A, its inverse\u00a0<strong>A<sup>-1<\/sup>\u00a0=\u00a0|Adj A| \/ |A|<\/strong>, where |A| must not zero<\/p>\n<\/body>","protected":false},"excerpt":{"rendered":"<p>Matrix Introduction \u2013 Structure \u2013 Order of Matrix Types of Matrices Row, Column, Null, Square, Diagonal, Scalar, Identity, Triangular (Upper &amp; Lower) Transpose of Matrix Symmetric Matrix &amp; Skew Symmetric Matrix Singular Matrix &amp; Equal Matrix with example Addition of Matrices The addition of two or more matrices are possible if the order of the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"zakra_page_container_layout":"customizer","zakra_page_sidebar_layout":"customizer","zakra_remove_content_margin":false,"zakra_sidebar":"customizer","zakra_transparent_header":"customizer","zakra_logo":0,"zakra_main_header_style":"default","zakra_menu_item_color":"","zakra_menu_item_hover_color":"","zakra_menu_item_active_color":"","zakra_menu_active_style":"","zakra_page_header":true,"om_disable_all_campaigns":false,"footnotes":""},"class_list":["post-2218","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/pages\/2218","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swatilathia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2218"}],"version-history":[{"count":9,"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/pages\/2218\/revisions"}],"predecessor-version":[{"id":2546,"href":"https:\/\/swatilathia.com\/index.php?rest_route=\/wp\/v2\/pages\/2218\/revisions\/2546"}],"wp:attachment":[{"href":"https:\/\/swatilathia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}