{"id":7382,"date":"2022-03-21T14:54:23","date_gmt":"2022-03-21T09:24:23","guid":{"rendered":"https:\/\/www.goseeko.com\/blog\/?p=7382"},"modified":"2022-03-21T14:54:27","modified_gmt":"2022-03-21T09:24:27","slug":"elementary-transformation-of-a-matrix","status":"publish","type":"post","link":"https:\/\/www.goseeko.com\/blog\/elementary-transformation-of-a-matrix\/","title":{"rendered":"Elementary transformation of a matrix"},"content":{"rendered":"\n<p>When we apply any of the following operation on a matrix, then we call it an <a href=\"http:\/\/www.simumath.com\/library\/book.html?code=Matr_Alg_element_transforms_of_matrices\" target=\"_blank\" rel=\"noreferrer noopener\">elementary transformation<\/a>.<\/p>\n\n\n\n<p><strong>1. <\/strong>Interchanging any two rows (or columns). This transformation is indicated by <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/qxeQMDyFVgijSI1cs4hYOewYgkDO8WDYIgpyHS1NgLSqLR4s44magwzEOxjqJPQfOWPEOa4-S8VugQ-uOmuLbIFwWW7mH03S8vY2HsasE9r9hb1xTWtHN4p7Ocya94jxcLHYjtuM\" width=\"22\" height=\"26\"> <em>, <\/em>if the <em>i<\/em>th and <em>j<\/em>th rows are interchanged.<\/p>\n\n\n\n<p><strong>2. <\/strong>Multiplication of the elements of any row <em>\u00a0 <\/em>(or column) by a non-zero scalar quantity <em>k <\/em>is denoted by (<em>k<\/em>.<img loading=\"lazy\" decoding=\"async\" width=\"24\" height=\"28\" src=\"https:\/\/lh3.googleusercontent.com\/yq3hqVD4NS2peVnn6t9oY-mw7Ys2t1WkAyASzPBHJjzDNlG04WMj8_pwyBqzaxIHbMsNPOE4D-GOUwuOTVH91VbxO_sWH-fcpyO9_dPL_qNjlwyFhL7iZkQOeNH35bgd1qc1VYPd\">).<\/p>\n\n\n\n<p><strong>3. <\/strong>Addition of constant multiplication of the elements of any row <em>&nbsp;<\/em>to the corresponding elements of any other row <em>Rj <\/em>is denoted by (<em> <\/em><em><\/em>+ <em>k<\/em><em><\/em>).<\/p>\n\n\n\n<p>If a matrix <em>B <\/em>is obtained from a matrix <em>A <\/em>by one or more E-operations, then <em>B <\/em>will be equivalent to <em>A. <\/em>We use the symbol ~ for equivalence.<\/p>\n\n\n\n<p><em>i.e.<\/em>, <em>A <\/em>~ <em>B<\/em>.<\/p>\n\n\n\n<p><strong>Inverse of a matrix by using el<\/strong>.<strong> transformation-<\/strong><\/p>\n\n\n\n<p>The following transformations are elementary transformations-<\/p>\n\n\n\n<p>1. Interchange of any two rows (column)<\/p>\n\n\n\n<p>2. Multiplication of any row or column by any non-zero scalar quantity k.<\/p>\n\n\n\n<p>3. Addition to one row (column) of another row(column) multiplied by any non-zero scalar.<\/p>\n\n\n\n<p>The symbol ~ we use for equivalence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Elementary matrices<\/strong><\/h2>\n\n\n\n<p>If we get a square matrix from an identity or unit matrix by using any single el. transformation, we call it an elementary matrix.<\/p>\n\n\n\n<p>Note- Every elementary row transformation of a matrix can affect by pre-multiplication with the corresponding elementary matrix.<\/p>\n\n\n\n<p><strong>The method of finding inverse of a non-singular matrix by using el<\/strong>.<strong> transformation-<\/strong><\/p>\n\n\n\n<p>Working steps-<\/p>\n\n\n\n<p>1. Write A = IA<\/p>\n\n\n\n<p>2. Perform an elementary row transformation of A on the left side and I on the right side.<\/p>\n\n\n\n<p>3. Apply elementary row transformation until \u2018A\u2019 (left side) reduces to I, then I reduces to <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh4.googleusercontent.com\/bk6pKSAq5Kq9pk7gkDxLmEL_KTIHr0taxJO8M3hBUmm19ggGb2jE80lTmjd1Z7LEH1OZAl7wu0vpgDPZ6oPWx7344kFtbRJS5jiJMk5ELeQu77Nm62evwJLDr7fxSIsxNL3X_1GO\" width=\"34\" height=\"25\">.<\/p>\n\n\n\n<p><strong>Example-1: Find the inverse of matrix \u2018A\u2019 by using elementary transformation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh4.googleusercontent.com\/x9RV9xKSzVKuXgZLW4nytZgU3f4PYH3lrrU6Eke5dOJvs3IvsbWeXKpy_7Xidhzhz4Phlf9hsynrPSzCtAIHifhyc97uNnBTFRViE6DEVeCn3NcBg0rY8IYK0nx1uzDUMmQ-Mr-1\" alt=\"\" \/><\/figure>\n\n\n\n<p><strong>Sol.&nbsp; <\/strong>Write the matrix \u2018A\u2019 as-&nbsp;&nbsp;<\/p>\n\n\n\n<p>A = IA<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"50\" src=\"https:\/\/lh3.googleusercontent.com\/T8h-fYflzlntzohx3AA2M9fFKrDWN31HCegFynec0Qs0xpQfXS8jkU_YZAaiaafrx7hBu2pGwMPjOuQUfgeVqHQ7CqtIbz3rkruU-o_B1MLfaZeSupge7sIGbwI6Vb7HPHLpa6oK\"><\/p>\n\n\n\n<p>Now apply the following operation<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/E26pXfmTGPWbF0bWtmzi3DnAdTAjMtLWXvanovA7fRmlkshAt0GGyUe7Yap3zBfCnFRo1FMMKvdpQIWd-GO0RGQZg8sFrk10rgOAwqQmgmsG_lR-rCO_oJC643A30oH90lI1FuCN\" alt=\"\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/LunGzwTZ1j0IscjCgTZz3ORXfbgbl_91RVRLK-VSZM9fJ4yr4IlmznfSebHlatqWyjg5F7VsJTlHpFub5l5I_9Q5xDjiD_bQZ3ad4ehRnB6YFQYCdEUBw0wZAp8cEuHv1PhIJOrJ\" alt=\"\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/JjJzhwa2vZB3EpuCTZdrqxH7w20EMDCXFJnzcFRx2hnBTWG4_qiiVLoqUpcHAv_Yx7GDXgDdk8THgbHClNjtyKeHBJ-IzT15Ivv1Hyr_AJaXDAIMuftYk_4GFumEHGR-Y0I7XOVc\" alt=\"\" \/><\/figure>\n\n\n\n<p>So that<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh4.googleusercontent.com\/w_QO8pdZ9Yb4dcUafLOwIHlH32djPnG3F_QlPHXr1lWB-07PNNaSH-HaFQj1rBN6ADUARDJtLbNFTkmH3mJ8dKNDytX42N4YsWRQPpYdA8QcZxZl1az1Zv1timDp8SYYaIPar5Uo\" alt=\"\" \/><\/figure>\n\n\n\n<p><strong>Example-2: Find the inverse of matrix \u2018A\u2019 by using el<\/strong>.<strong> transformation-<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/zBERnO3CxtlVZWktyZG6l9lAikhPIzb-aBFsyxkjk885__bH6L334nNpcwX2ZKFpyAFLTDknZwKgE0hx5KsWwjSwS7W3taZ1YOWG7Ubx9P8AHgGcwczhtakBByIhy1DrkWBaLd9K\" alt=\"\" \/><\/figure>\n\n\n\n<p>Sol.\u00a0 Write the given matrix \u2018A\u2019 as-\u00a0\u00a0<\/p>\n\n\n\n<p>hence A = IA<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/CaQbtDsq0TwVEl17K5TPSeuYBEnP8fECjbBtoSL69m6MNxwSEL7NQfcTgfHPo8mRrTPnzHK7QW_5NBI48yh0n2DrtVBUVJoIXmqTvUVs6N5kYKnbvDw6FXkRNU14lHoNLEDQLHui\" alt=\"\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/EMLp__gElkfdpj9jrsYhPpVbltVGZ8lDE3M77ES_EYAu7vZuPlw3chPLWOMOS4Y4D-HFOwNFTr6zV6-YF4Rxuz4mmZEiw_QzPeO2KnTf3xidS5jga6s6ysdacy_54-KPpYU1MSOh\" alt=\"\" \/><\/figure>\n\n\n\n<p>So that<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/ekG7DMOGIIw59CaiSpKmI7XRjy6BajdSqd1tIxCl1svj2qegK3SR6si01CAYdI7ahqxLyz-MOFl-DMIPM5iaxhUbXrtIPE4ITaJpwkyOcaaXutgNu9d3uvewEFCFSCdIlvwsWeyj\" alt=\"\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>When we apply any of the following operation on a matrix, then it is called an elementary transformation.<\/p>\n","protected":false},"author":28,"featured_media":7389,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[31],"tags":[],"class_list":["post-7382","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-maths"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3.1 - 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