{"id":1742,"date":"2012-06-05T01:18:01","date_gmt":"2012-06-05T01:18:01","guid":{"rendered":"http:\/\/SchoolTutoring.com\/help\/?p=1742"},"modified":"2014-12-02T08:33:44","modified_gmt":"2014-12-02T08:33:44","slug":"addition-of-matrices","status":"publish","type":"post","link":"https:\/\/schooltutoring.com\/help\/addition-of-matrices\/","title":{"rendered":"Addition of Matrices"},"content":{"rendered":"<p><strong><span style=\"text-decoration: underline\">Addition of matrices:<\/span><\/strong><strong> If two matrices A and B are of\u00a0 the same order mxn, then the sum A+B is of the same order mxn and contains the elements obtained by adding the corresponding elements of A and B.<\/strong><\/p>\n<p><img decoding=\"async\" src=\"image\/png;base64,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\" alt=\"\" \/><\/p>\n<p><strong><span style=\"text-decoration: underline\">Scalar multiplication:<\/span><\/strong><strong> If A is a matrix of order mxn and \u2018k\u2019 is a scalar then kA is a matrix of same order mxn whose elements are the products of k with the corresponding elements of A.<\/strong><\/p>\n<p><img decoding=\"async\" src=\"image\/png;base64,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\" alt=\"\" \/><\/p>\n<p><strong>Here, \u00a0-A = (-1) A and so A-B = A+(-B)<\/strong><\/p>\n<p><strong><span style=\"text-decoration: underline\">Properties of matrix addition and multiplication:<\/span><\/strong><\/p>\n<p><strong>a)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><strong>Associative law: <\/strong><\/p>\n<p><strong>A+(B+C) = (A+B)+C<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>b)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><strong>Commutative law: <\/strong><\/p>\n<p><strong>A + B = B + A.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>c)\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><strong>k(A+B) = kA + kB, where\u00a0 k is a scalar.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>d)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><strong>Law of identity:<\/strong><\/p>\n<p><strong>If A is a matrix of order mxn and O is a null matrix of same order then<\/strong><\/p>\n<p><strong>A+O = O+A = A, where O is called the additive identity.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>e)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><strong>Law of inverse: <\/strong><\/p>\n<p><strong>If A is a matrix of order mxn then the additive inverse of A which is \u2013A is also of same order\u00a0 and A+(-A) = (-A)+A =O<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Addition of matrices: If two matrices A and B are of\u00a0 the same order mxn, then the sum A+B is of the same order mxn and contains the elements obtained by adding the corresponding elements of A and B. Scalar multiplication: If A is a matrix of order mxn and \u2018k\u2019 is a scalar then [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2],"tags":[50,907,969,1093,1159,1412,1587],"class_list":["post-1742","post","type-post","status-publish","format-standard","hentry","category-algebra","tag-addition","tag-identity","tag-inverse","tag-matrix","tag-multiplication","tag-properties","tag-scalar"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/posts\/1742","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/comments?post=1742"}],"version-history":[{"count":0,"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/posts\/1742\/revisions"}],"wp:attachment":[{"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/media?parent=1742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/categories?post=1742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/schooltutoring.com\/help\/wp-json\/wp\/v2\/tags?post=1742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}