{"id":5837,"date":"2024-11-22T11:04:32","date_gmt":"2024-11-22T17:04:32","guid":{"rendered":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/?page_id=5837"},"modified":"2024-11-22T11:04:32","modified_gmt":"2024-11-22T17:04:32","slug":"mn6c","status":"publish","type":"page","link":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/unidad-6\/mn6c\/","title":{"rendered":"mn6c Euler"},"content":{"rendered":"\n<p>El m\u00e9todo de Euler <strong>es un m\u00e9todo de primer orden, lo que significa que el error local es proporcional al cuadrado del tama\u00f1o del paso, y el error global es proporcional al tama\u00f1o del paso<\/strong>.<\/p>\n\n\n\n<p>En su forma simple emplea la f\u00f3rmula<\/p>\n\n\n\n<p class=\"has-text-align-center\">y<sub>1&nbsp;<\/sub>=&nbsp; y<sub>0<\/sub>&nbsp;+&nbsp; h*y\u00b4 <\/p>\n\n\n\n<p>donde h es el tama\u00f1o de paso, y0 es la  condici\u00f3n inicial, y&#8217; es la ecuaci\u00f3n diferencial. Para evaluar la estimaci\u00f3n siguiente o paso, se utiliza el valor inicial de x y se calcula el siguiente valor x + dx, se utiliza el valor calculado de y en el paso anterior.<\/p>\n\n\n\n<h3>Ejemplo 1. <\/h3>\n\n\n\n<p>Resuelva la siguiente ecuaci\u00f3n diferencial por m\u00e9todo de Euler simple<\/p>\n\n\n\n<p class=\"has-text-align-center\">y\u2019 = (x + y \u2013 1)<sup>2 &nbsp;<\/sup>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;y(0) = 2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1<\/p>\n\n\n\n<p>Soluci\u00f3n.<\/p>\n\n\n\n<p>n = 0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x<sub>0&nbsp;<\/sub>= 0&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;y<sub>0<\/sub>&nbsp;= 2<\/p>\n\n\n\n<p>y<sub>1&nbsp;<\/sub>=&nbsp; y<sub>0<\/sub>&nbsp;+&nbsp; h*y\u00b4  = 2 + 0.1 (0 + 2 \u2013 1)<sup>2<\/sup><\/p>\n\n\n\n<p>= 2 + 0.1 (1)<sup>2<\/sup><\/p>\n\n\n\n<p>= 2.1<\/p>\n\n\n\n<p>n = 1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x<sub>1<\/sub>&nbsp;= 0 + 0.1 = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y<sub>1<\/sub>&nbsp;= 2.1<\/p>\n\n\n\n<p>y<sub>2<\/sub>= 2.1 + 0.1 (0.1 + 2.1 \u2013 1)<sup>2<\/sup><\/p>\n\n\n\n<p>y<sub>2<\/sub>= 2 + 0.1 (1.2)<sup>2<\/sup><\/p>\n\n\n\n<p>y<sub>2<\/sub>= 2.244<\/p>\n\n\n\n<p>n = 2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x<sub>2<\/sub>&nbsp;= 0.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y<sub>2<\/sub>&nbsp;= 2.244<\/p>\n\n\n\n<p>y<sub>3<\/sub>= 2.244 + 0.1 (0.2 + 2.244 \u2013 1)<sup>2<\/sup><\/p>\n\n\n\n<p>y<sub>3<\/sub>= 2.244 + 0.1 (1.444)<sup>2<\/sup><\/p>\n\n\n\n<p>y<sub>3<\/sub>= 2.4525136<\/p>\n\n\n\n<p>n = 3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x<sub>3<\/sub>&nbsp;= 0.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y<sub>3<\/sub>&nbsp;= 2.4525136<\/p>\n\n\n\n<p>= 2.4525136 + 0.1 (0.3 + 2.4525136 \u2013 1)<sup>2<\/sup><\/p>\n\n\n\n<p>= 2.4525136 + 0.1 (1.2)<sup>2<\/sup><\/p>\n\n\n\n<p>= 2.759644<\/p>\n\n\n\n<p>n = 4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; h = 0.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x<sub>4<\/sub>&nbsp;= 0.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y<sub>4<\/sub>&nbsp;= 2.759644<\/p>\n\n\n\n<p>= 2.759644 + 0.1 (0.4 + 2.759644 \u2013 1)<sup>2<\/sup>&nbsp;= 2.759644 + 0.4664<\/p>\n\n\n\n<p>= 3.22605<\/p>\n\n\n\n<div class=\"is-layout-flex wp-container-3 wp-block-columns\">\n<div class=\"is-layout-flow wp-block-column\">\n<figure class=\"wp-block-table\"><table><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">x<\/td><td class=\"has-text-align-center\" data-align=\"center\">dy\/dx<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.1<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.1<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.2<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.244<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.3<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.4525<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.4<\/td><td class=\"has-text-align-center\" data-align=\"center\">2.7596<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.5<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.226<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0.6<\/td><td class=\"has-text-align-center\" data-align=\"center\">3.969<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\n\n\n<div class=\"is-layout-flow wp-block-column\">\n<p class=\"has-text-align-right\"><\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" 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alt=\"\"><\/p>\n\n\n\n<div class=\"is-content-justification-center is-layout-flex wp-container-4 wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/unidad-6\/\">regresar<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>El m\u00e9todo de Euler es un m\u00e9todo de primer orden, lo que significa que el error local es proporcional al cuadrado del tama\u00f1o del paso, y el error global es proporcional al tama\u00f1o del paso. En su forma simple emplea la f\u00f3rmula y1&nbsp;=&nbsp; y0&nbsp;+&nbsp; h*y\u00b4 donde h es el tama\u00f1o de paso, y0 es la &hellip; <a href=\"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/unidad-6\/mn6c\/\" class=\"more-link\">Contin\u00faa leyendo <span class=\"screen-reader-text\">mn6c Euler<\/span><\/a><\/p>\n","protected":false},"author":123458,"featured_media":0,"parent":3189,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0},"_links":{"self":[{"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/pages\/5837"}],"collection":[{"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/users\/123458"}],"replies":[{"embeddable":true,"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/comments?post=5837"}],"version-history":[{"count":3,"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/pages\/5837\/revisions"}],"predecessor-version":[{"id":6016,"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/pages\/5837\/revisions\/6016"}],"up":[{"embeddable":true,"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/pages\/3189"}],"wp:attachment":[{"href":"https:\/\/blogceta.zaragoza.unam.mx\/mnumericos\/wp-json\/wp\/v2\/media?parent=5837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}