{"id":160,"date":"2007-05-18T15:14:22","date_gmt":"2007-05-18T15:14:22","guid":{"rendered":"http:\/\/www.sixthform.info\/maths\/?p=160"},"modified":"2020-03-14T19:29:30","modified_gmt":"2020-03-14T19:29:30","slug":"eigenvalues-without-determinants","status":"publish","type":"post","link":"https:\/\/www.sixthform.info\/maths\/?p=160","title":{"rendered":"Eigenvalues without determinants"},"content":{"rendered":"<p>Most (all?) undergraduate courses use determinants to introduce eigenvalues and eigenvectors. So the eigenvalues of a matrix <img src='\/maths\/latexrender\/pictures\/7fc56270e7a70fa81a5935b72eacbe29.gif' title='A' alt='A' align=absmiddle> (or linear transformation <img src='\/maths\/latexrender\/pictures\/e358efa489f58062f10dd7316b65649e.gif' title='t' alt='t' align=absmiddle>) are the solutions of <img src='\/maths\/latexrender\/pictures\/c71fedceb51efbac9ab3cba24f3177c5.gif' title='\\det(A-\\lambda I)=0' alt='\\det(A-\\lambda I)=0' align=absmiddle>. However, Sheldon Axler published a paper in 1994 called <a target=\"_blank\" href=\"http:\/\/www.axler.net\/DwD.html\" title=\"Down with Determinants!\" rel=\"noopener noreferrer\">Down with Determinants!<\/a> where he maintains that determinants should not be used so early in linear algebra courses. He gives a very nice proof of the existence of eigenvalues in finite-dimensional vector spaces (over <img src='\/maths\/latexrender\/pictures\/55a258c7bacb00bc87783ca5086e8b91.gif' title='\\mathbb{C}' alt='\\mathbb{C}' align=absmiddle>) which I would like to reproduce here.<\/p>\n<blockquote><p><em>Every linear transformation of a finite-dimensional complex vector space has an eigenvalue.<\/em><\/p><\/blockquote>\n<p>Here is his proof:<\/p>\n<p>Let <img src='\/maths\/latexrender\/pictures\/5206560a306a2e085a437fd258eb57ce.gif' title='V' alt='V' align=absmiddle> be a non-trivial finite-dimensional complex vector space and <em>t<\/em>\u00c2\u00a0a linear transformation <img src='\/maths\/latexrender\/pictures\/4b54f6b0f02ddff924b2f471dedc8825.gif' title='t\\colon V \\to V' alt='t\\colon V \\to V' align=absmiddle>. Let <img src='\/maths\/latexrender\/pictures\/9e3669d19b675bd57058fd4664205d2a.gif' title='v' alt='v' align=absmiddle> be a fixed non-zero vector in <img src='\/maths\/latexrender\/pictures\/5206560a306a2e085a437fd258eb57ce.gif' title='V' alt='V' align=absmiddle> and suppose that <img src='\/maths\/latexrender\/pictures\/444b8955ea2b5e689858d49aa07afb0c.gif' title='\\dim V =n' alt='\\dim V =n' align=absmiddle>. Then the <img src='\/maths\/latexrender\/pictures\/40b85027598d87611b1c8d5d11e46812.gif' title='n+1' alt='n+1' align=absmiddle> vectors <img src='\/maths\/latexrender\/pictures\/7bf03969fbdd1c60c63dd4b6d5eab291.gif' title='v,t(v),t^2 (v),\\dots,t^n (v)' alt='v,t(v),t^2 (v),\\dots,t^n (v)' align=absmiddle> are linearly dependent. Hence there exists complex numbers <img src='\/maths\/latexrender\/pictures\/a89016c196317a54af90699cb98709bb.gif' title='\\alpha_0,\\alpha_1,\\dots,\\alpha_n' alt='\\alpha_0,\\alpha_1,\\dots,\\alpha_n' align=absmiddle> not all 0 such that<\/p>\n<p align=\"center\"><img src='\/maths\/latexrender\/pictures\/54571d025f1503af57a9aa8f05680b4e.gif' title='\\alpha_0 v + \\alpha_1 t(v) + \\dots + \\alpha_n t^n (v)=0' alt='\\alpha_0 v + \\alpha_1 t(v) + \\dots + \\alpha_n t^n (v)=0' align=absmiddle>.<\/p>\n<p align=\"left\">and hence<\/p>\n<p align=\"center\"><img src='\/maths\/latexrender\/pictures\/6c275f666cad2164a2e9af8804caead3.gif' title='(\\alpha_01+ \\alpha_1 t + \\dots + \\alpha_n t^n)(v)=0' alt='(\\alpha_01+ \\alpha_1 t + \\dots + \\alpha_n t^n)(v)=0' align=absmiddle>.<\/p>\n<p align=\"left\">Now, since <img src='\/maths\/latexrender\/pictures\/55a258c7bacb00bc87783ca5086e8b91.gif' title='\\mathbb{C}' alt='\\mathbb{C}' align=absmiddle> is algebraically closed, \u00c2\u00a0the polynomial <img src='\/maths\/latexrender\/pictures\/9a6ec92d5be567b695e7e7a2e70cab44.gif' title='\\alpha_0 + \\alpha_1 z+ \\dots + \\alpha_n z^n' alt='\\alpha_0 + \\alpha_1 z+ \\dots + \\alpha_n z^n' align=absmiddle> will factorise so we get<\/p>\n<p align=\"center\"><img src='\/maths\/latexrender\/pictures\/d3f6cd1a3ae2b9fdd2d3fe0d9e05ff60.gif' title='\\alpha_0 + \\alpha_1 z+ \\dots + \\alpha_n z^n=c(z-\\lambda_1)(z-\\lambda_2)\\dots(z-\\lambda_m)' alt='\\alpha_0 + \\alpha_1 z+ \\dots + \\alpha_n z^n=c(z-\\lambda_1)(z-\\lambda_2)\\dots(z-\\lambda_m)' align=absmiddle>.<\/p>\n<p align=\"left\">where <img src='\/maths\/latexrender\/pictures\/277e341892629dfafc18ec0a77fd8978.gif' title='c, \\lambda_1,\\dots,\\lambda_m' alt='c, \\lambda_1,\\dots,\\lambda_m' align=absmiddle> are complex numbers with <img src='\/maths\/latexrender\/pictures\/9dcb5fa031f76c34fd884dc350287be8.gif' title='c \\neq 0' alt='c \\neq 0' align=absmiddle>. It follows that<\/p>\n<p align=\"center\"><img src='\/maths\/latexrender\/pictures\/c89a8bf34e6c65e121796303e4adb56c.gif' title='c(t-\\lambda_1 1)(t-\\lambda_2 1)\\dots(t-\\lambda _m 1)(v)=0' alt='c(t-\\lambda_1 1)(t-\\lambda_2 1)\\dots(t-\\lambda _m 1)(v)=0' align=absmiddle><\/p>\n<p align=\"left\">which means that, since this is composition of functions, and <img src='\/maths\/latexrender\/pictures\/0c8ae8914456e70a1afc7bce6a2d3d92.gif' title='v \\ne 0' alt='v \\ne 0' align=absmiddle>, then<br \/>\n<em>either<\/em><br \/>\n<img src='\/maths\/latexrender\/pictures\/ffdcaed3057a4454d34f5e9ccb2dd2d0.gif' title='(t-\\lambda _m 1)(v)=0' alt='(t-\\lambda _m 1)(v)=0' align=absmiddle> so\u00c2\u00a0\u00c2\u00a0<img src='\/maths\/latexrender\/pictures\/5bfb770d7008a81554b5bf4b1a6c40e6.gif' title='(t-\\lambda_m 1)(v)=v' alt='(t-\\lambda_m 1)(v)=v' align=absmiddle>\u00c2\u00a0so that <img src='\/maths\/latexrender\/pictures\/8f01eabd44bfc44b0544948ebc8895c2.gif' title='t(v)=\\lambda_m v' alt='t(v)=\\lambda_m v' align=absmiddle> and <img src='\/maths\/latexrender\/pictures\/9e3669d19b675bd57058fd4664205d2a.gif' title='v' alt='v' align=absmiddle> is an eigenvector<br \/>\n<em>or<\/em><br \/>\n<img src='\/maths\/latexrender\/pictures\/d6679448ca2a2fe2126ebc6fc382bf0b.gif' title='(t-\\lambda _{m-1} 1)(t-\\lambda _m 1)(v)=0' alt='(t-\\lambda _{m-1} 1)(t-\\lambda _m 1)(v)=0' align=absmiddle> so <img src='\/maths\/latexrender\/pictures\/dc1e22c6fd07c9e7fb47e770b86bba24.gif' title='(t-\\lambda _m 1)(v)' alt='(t-\\lambda _m 1)(v)' align=absmiddle>\u00c2\u00a0is an eigenvector<br \/>\n<em>or<br \/>\n&#8230;<br \/>\nor<br \/>\n<\/em><img src='\/maths\/latexrender\/pictures\/c1299ecc1ae4480e7de726f838e8c61a.gif' title='(t-\\lambda_2 1)\\dots(t-\\lambda _m 1)(v)' alt='(t-\\lambda_2 1)\\dots(t-\\lambda _m 1)(v)' align=absmiddle> is an eigenvector,<br \/>\nand hence <img src='\/maths\/latexrender\/pictures\/e358efa489f58062f10dd7316b65649e.gif' title='t' alt='t' align=absmiddle> has an eigenvalue. \u00c2\u00a0\u00c2\u00a0<img src='\/maths\/latexrender\/pictures\/77e61462d1adabba326f954b07b72122.gif' title='\\blacksquare' alt='\\blacksquare' align=absmiddle><\/p>\n<p align=\"left\">Discussion on this approach of not using determinants can be found at <a target=\"_blank\" href=\"http:\/\/www.neverendingbooks.org\/NEBPDFS\/321.pdf\" title=\"NeverEndingBooks\" rel=\"noopener noreferrer\">NeverEndingBooks<\/a>\u00c2\u00a0and <a target=\"_blank\" href=\"http:\/\/golem.ph.utexas.edu\/category\/2007\/05\/linear_algebra_done_right.html#more\" title=\"The n-category Caf\u00c3\u00a9\" rel=\"noopener noreferrer\">The n-category Caf\u00c3\u00a9<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Most (all?) undergraduate courses use determinants to introduce eigenvalues and eigenvectors. So the eigenvalues of a matrix (or linear transformation ) are the solutions of . However, Sheldon Axler published a paper in 1994 called Down with Determinants! where he maintains that determinants should not be used so early in linear algebra courses. He gives [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-160","post","type-post","status-publish","format-standard","hentry","category-articles"],"_links":{"self":[{"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/posts\/160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=160"}],"version-history":[{"count":1,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/posts\/160\/revisions"}],"predecessor-version":[{"id":286,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=\/wp\/v2\/posts\/160\/revisions\/286"}],"wp:attachment":[{"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sixthform.info\/maths\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}