{"id":1112,"date":"2025-06-30T16:34:47","date_gmt":"2025-06-30T16:34:47","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/calculus2\/?post_type=chapter&#038;p=1112"},"modified":"2025-08-18T15:17:33","modified_gmt":"2025-08-18T15:17:33","slug":"alternating-series-learn-it-2","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/calculus2\/chapter\/alternating-series-learn-it-2\/","title":{"raw":"Alternating Series: Learn It 2","rendered":"Alternating Series: Learn It 2"},"content":{"raw":"<h2 data-type=\"title\">Remainder of an Alternating Series<\/h2>\r\n<p id=\"fs-id1169738214451\">When working with alternating series, we often need to approximate the infinite sum using partial sums. A key question becomes: how accurate is our approximation? The good news is that for alternating series satisfying the alternating series test, we can easily bound the error.<\/p>\r\nConsider an alternating series [latex]\\displaystyle\\sum_{n=1}^{\\infty}(-1)^{n+1}b_n[\/latex] that satisfies the conditions of the alternating series test. Let [latex]S[\/latex] represent the exact sum and [latex]{S_k}[\/latex] be the sequence of partial sums.\r\n<p id=\"fs-id1169738114153\">From Figure 2, we can see that for any integer [latex]N \\geq 1[\/latex], the remainder [latex]R_N[\/latex] satisfies:<\/p>\r\n\r\n<div id=\"fs-id1169737790066\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]|{R}_{N}|=|S-{S}_{N}|\\le |{S}_{N+1}-{S}_{N}|={b}_{n+1}[\/latex].<\/div>\r\n<div data-type=\"equation\" data-label=\"\">\r\n<p class=\"whitespace-normal break-words\">This observation leads to an important theorem.<\/p>\r\n\r\n<\/div>\r\n<div data-type=\"equation\" data-label=\"\"><section class=\"textbox keyTakeaway\" aria-label=\"Key Takeaway\">\r\n<h3>theorem: remainders in alternating series<\/h3>\r\n<p id=\"fs-id1169737806314\">Consider an alternating series of the form:<\/p>\r\n\r\n<div id=\"fs-id1169738045618\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]\\displaystyle\\sum _{n=1}^{\\infty }{\\left(-1\\right)}^{n+1}{b}_{n}\\text{or}\\displaystyle\\sum _{n=1}^{\\infty }{\\left(-1\\right)}^{n}{b}_{n}[\/latex]<\/div>\r\n&nbsp;\r\n<p id=\"fs-id1169737743754\">that satisfies the hypotheses of the alternating series test. Let [latex]S[\/latex] denote the sum of the series and [latex]{S}_{N}[\/latex] denote the [latex]N\\text{th}[\/latex] partial sum. For any integer [latex]N\\ge 1[\/latex], the remainder [latex]{R}_{N}=S-{S}_{N}[\/latex] satisfies:<\/p>\r\n\r\n<div id=\"fs-id1169737725569\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]|{R}_{N}|\\le {b}_{N+1}[\/latex].<\/div>\r\n<\/section><section class=\"textbox proTip\" aria-label=\"Pro Tip\"><strong>What This Means:<\/strong> If the alternating series test conditions are met, the error in approximating the infinite series by the [latex]N[\/latex]th partial sum is at most the size of the very next term [latex]b_{N+1}[\/latex]. This makes error estimation remarkably straightforward!\r\n\r\n<\/section><section class=\"textbox example\" aria-label=\"Example\">\r\n<div id=\"fs-id1169738153570\" data-type=\"problem\">\r\n<p id=\"fs-id1169738153575\">Consider the alternating series<\/p>\r\n\r\n<div id=\"fs-id1169738249304\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]\\displaystyle\\sum _{n=1}^{\\infty }\\frac{{\\left(-1\\right)}^{n+1}}{{n}^{2}}[\/latex].<\/div>\r\n&nbsp;\r\n<p id=\"fs-id1169738087686\">Use the remainder estimate to determine a bound on the error [latex]{R}_{10}[\/latex] if we approximate the sum of the series by the partial sum [latex]{S}_{10}[\/latex].<\/p>\r\n\r\n<\/div>\r\n[reveal-answer q=\"44558895\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"44558895\"]\r\n<div id=\"fs-id1169738183341\" data-type=\"solution\">\r\n<p id=\"fs-id1169738183343\">From the theorem stated above,<\/p>\r\n<p id=\"fs-id1169737931110\" style=\"text-align: center;\">[latex]|{R}_{10}|\\le {b}_{11}=\\frac{1}{{11}^{2}}\\approx 0.008265[\/latex].<\/p>\r\n\r\n<\/div>\r\n[\/hidden-answer]\r\n\r\n<\/section><\/div>","rendered":"<h2 data-type=\"title\">Remainder of an Alternating Series<\/h2>\n<p id=\"fs-id1169738214451\">When working with alternating series, we often need to approximate the infinite sum using partial sums. A key question becomes: how accurate is our approximation? The good news is that for alternating series satisfying the alternating series test, we can easily bound the error.<\/p>\n<p>Consider an alternating series [latex]\\displaystyle\\sum_{n=1}^{\\infty}(-1)^{n+1}b_n[\/latex] that satisfies the conditions of the alternating series test. Let [latex]S[\/latex] represent the exact sum and [latex]{S_k}[\/latex] be the sequence of partial sums.<\/p>\n<p id=\"fs-id1169738114153\">From Figure 2, we can see that for any integer [latex]N \\geq 1[\/latex], the remainder [latex]R_N[\/latex] satisfies:<\/p>\n<div id=\"fs-id1169737790066\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]|{R}_{N}|=|S-{S}_{N}|\\le |{S}_{N+1}-{S}_{N}|={b}_{n+1}[\/latex].<\/div>\n<div data-type=\"equation\" data-label=\"\">\n<p class=\"whitespace-normal break-words\">This observation leads to an important theorem.<\/p>\n<\/div>\n<div data-type=\"equation\" data-label=\"\">\n<section class=\"textbox keyTakeaway\" aria-label=\"Key Takeaway\">\n<h3>theorem: remainders in alternating series<\/h3>\n<p id=\"fs-id1169737806314\">Consider an alternating series of the form:<\/p>\n<div id=\"fs-id1169738045618\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]\\displaystyle\\sum _{n=1}^{\\infty }{\\left(-1\\right)}^{n+1}{b}_{n}\\text{or}\\displaystyle\\sum _{n=1}^{\\infty }{\\left(-1\\right)}^{n}{b}_{n}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1169737743754\">that satisfies the hypotheses of the alternating series test. Let [latex]S[\/latex] denote the sum of the series and [latex]{S}_{N}[\/latex] denote the [latex]N\\text{th}[\/latex] partial sum. For any integer [latex]N\\ge 1[\/latex], the remainder [latex]{R}_{N}=S-{S}_{N}[\/latex] satisfies:<\/p>\n<div id=\"fs-id1169737725569\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]|{R}_{N}|\\le {b}_{N+1}[\/latex].<\/div>\n<\/section>\n<section class=\"textbox proTip\" aria-label=\"Pro Tip\"><strong>What This Means:<\/strong> If the alternating series test conditions are met, the error in approximating the infinite series by the [latex]N[\/latex]th partial sum is at most the size of the very next term [latex]b_{N+1}[\/latex]. This makes error estimation remarkably straightforward!<\/p>\n<\/section>\n<section class=\"textbox example\" aria-label=\"Example\">\n<div id=\"fs-id1169738153570\" data-type=\"problem\">\n<p id=\"fs-id1169738153575\">Consider the alternating series<\/p>\n<div id=\"fs-id1169738249304\" class=\"unnumbered\" style=\"text-align: center;\" data-type=\"equation\" data-label=\"\">[latex]\\displaystyle\\sum _{n=1}^{\\infty }\\frac{{\\left(-1\\right)}^{n+1}}{{n}^{2}}[\/latex].<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1169738087686\">Use the remainder estimate to determine a bound on the error [latex]{R}_{10}[\/latex] if we approximate the sum of the series by the partial sum [latex]{S}_{10}[\/latex].<\/p>\n<\/div>\n<div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"q44558895\">Show Solution<\/button><\/p>\n<div id=\"q44558895\" class=\"hidden-answer\" style=\"display: none\">\n<div id=\"fs-id1169738183341\" data-type=\"solution\">\n<p id=\"fs-id1169738183343\">From the theorem stated above,<\/p>\n<p id=\"fs-id1169737931110\" style=\"text-align: center;\">[latex]|{R}_{10}|\\le {b}_{11}=\\frac{1}{{11}^{2}}\\approx 0.008265[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n","protected":false},"author":15,"menu_order":29,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":671,"module-header":"- Select Header -","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/1112"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":4,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/1112\/revisions"}],"predecessor-version":[{"id":1901,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/1112\/revisions\/1901"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/parts\/671"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/1112\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/media?parent=1112"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapter-type?post=1112"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/contributor?post=1112"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/license?post=1112"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}