{"id":377,"date":"2025-02-13T19:44:26","date_gmt":"2025-02-13T19:44:26","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/calculus2\/chapter\/approximating-areas-learn-it-2\/"},"modified":"2025-02-13T19:44:26","modified_gmt":"2025-02-13T19:44:26","slug":"approximating-areas-learn-it-2","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/calculus2\/chapter\/approximating-areas-learn-it-2\/","title":{"raw":"Approximating Areas: Learn It 2","rendered":"Approximating Areas: Learn It 2"},"content":{"raw":"\n<h2>Approximating Area Cont.<\/h2>\n<h3>Right-Endpoint Approximation<\/h3>\n<p id=\"fs-id1170572243150\">The second method for approximating area under a curve is the right-endpoint approximation. It is almost the same as the left-endpoint approximation, but now the heights of the rectangles are determined by the function values at the right of each subinterval.<\/p>\n<section class=\"textbox keyTakeaway\">\n<h3 style=\"text-align: left;\">Right-Endpoint Approximation<\/h3>\n<p id=\"fs-id1170572601216\">In the right-endpoint approximation, we estimate the area under a curve by constructing rectangles whose heights are determined by the function values at the right endpoints of subintervals.<\/p>\n<p>&nbsp;<\/p>\n<p>The approximation of the area [latex]A[\/latex] using [latex]n[\/latex] subintervals is given by the formula:<\/p>\n<div id=\"fs-id1170572337146\" class=\"equation\" style=\"text-align: center;\">[latex]A \\approx R_n = \\displaystyle\\sum_{i=1}^{n} f(x_i)\\Delta x [\/latex]<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1170571678912\">where [latex]\\Delta x =\\frac{b-a}{n}[\/latex] is the width of each subinterval, and [latex]x_{i}[\/latex] are the right endpoints of the subintervals.<\/p>\n<\/section>\n\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203848\/CNX_Calc_Figure_05_01_002.jpg\" alt=\"A diagram showing the right-endpoint approximation of area under a curve. Under a parabola with vertex on the y axis and above the x axis, rectangles are drawn between a=x0 on the origin and b = xn. The rectangles have endpoints at a=x0, x1, x2\u2026x(n-1), and b = xn, spaced equally. The height of each rectangle is determined by the value of the given function at the right endpoint of the rectangle.\" width=\"487\" height=\"241\"> Figure 3. In the right-endpoint approximation of area under a curve, the height of each rectangle is determined by the function value at the right of each subinterval. Note that the right-endpoint approximation differs from the left-endpoint approximation in (Figure).[\/caption]\n\n<section class=\"textbox proTip\">\n<p>Since we have already seen how to solve using left-endpoint approximation, the right-endpoint approximation follows a similar process. The key difference is that the heights of the rectangles are determined by the function values at the right endpoints of the subintervals, rather than the left endpoints. This means:<\/p>\n<ul>\n\t<li><strong>Left-Endpoint Approximation:<\/strong> Uses [latex]f(x_{i -1})[\/latex] for each subinterval.<\/li>\n\t<li><strong>Right-Endpoint Approximation:<\/strong> Uses [latex]f(x_i)[\/latex]&nbsp;for each subinterval.<\/li>\n<\/ul>\n<p>By adjusting the endpoint used, we slightly alter the position and height of the rectangles, which can affect the accuracy of the approximation depending on the behavior of the function.<\/p>\n<\/section>\n<section class=\"textbox example\">\n<p id=\"fs-id1170571628182\">The graphs in Figure 4 represent the curve [latex]f(x)=\\frac{x^2}{2}[\/latex].<\/p>\n\n[caption id=\"\" align=\"aligncenter\" width=\"708\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203852\/CNX_Calc_Figure_05_01_003.jpg\" alt=\"Diagrams side by side, showing the differences in approximating the area under a parabolic curve with vertex at the origin between the left endpoints method (the first diagram) and the right endpoints method (the second diagram). In the first diagram, rectangles are drawn at even intervals (delta x) under the curve with heights determined by the value of the function at the left endpoints. In the second diagram, the rectangles are drawn in the same fashion, but with heights determined by the value of the function at the right endpoints. The endpoints in both are spaced equally from the origin to (3, 0), labeled x0 to x6.\" width=\"708\" height=\"301\"> Figure 4. Methods of approximating the area under a curve by using (a) the left endpoints and (b) the right endpoints.[\/caption]\n\n<p>In graph (a) we divide the region represented by the interval [latex][0,3][\/latex] into six subintervals, each of width [latex]0.5[\/latex]. Thus, [latex]\\Delta x=0.5[\/latex].<\/p>\n<p>We then form six rectangles by drawing vertical lines perpendicular to [latex]x_{i-1}[\/latex], the left endpoint of each subinterval.<\/p>\n<p>We determine the height of each rectangle by calculating [latex]f(x_{i-1})[\/latex] for [latex]i=1,2,3,4,5,6[\/latex].<\/p>\n<p>The intervals are [latex][0,0.5], \\, [0.5,1], \\, [1,1.5], \\, [1.5,2], \\, [2,2.5], \\, [2.5,3][\/latex].<\/p>\n<p>We find the area of each rectangle by multiplying the height by the width.<\/p>\n<p>Then, the sum of the rectangular areas approximates the area between [latex]f(x)[\/latex] and the [latex]x[\/latex]-axis.<\/p>\n<p>When the left endpoints are used to calculate height, we have a left-endpoint approximation. Thus,<\/p>\n<div id=\"fs-id1170571807226\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} A \\approx L_6 &amp; =\\displaystyle\\sum_{i=1}^{6} f(x_{i-1})\\Delta x=f(x_0)\\Delta x+f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x+f(x_5)\\Delta x \\\\ &amp; =f(0)0.5+f(0.5)0.5+f(1)0.5+f(1.5)0.5+f(2)0.5+f(2.5)0.5 \\\\ &amp; =(0)0.5+(0.125)0.5+(0.5)0.5+(1.125)0.5+(2)0.5+(3.125)0.5 \\\\ &amp; =0+0.0625+0.25+0.5625+1+1.5625 \\\\ &amp; =3.4375 \\end{array}[\/latex]&nbsp;<\/div>\n<p id=\"fs-id1170572607946\">In Figure 4(b), we draw vertical lines perpendicular to [latex]x_i[\/latex] such that [latex]x_i[\/latex] is the right endpoint of each subinterval, and calculate [latex]f(x_i)[\/latex] for [latex]i=1,2,3,4,5,6[\/latex].<\/p>\n<p>We multiply each [latex]f(x_i)[\/latex] by [latex]\\Delta x[\/latex] to find the rectangular areas, and then add them. This is a right-endpoint approximation of the area under [latex]f(x)[\/latex]. Thus,<\/p>\n<div id=\"fs-id1170572223998\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} A \\approx R_6 &amp; =\\displaystyle\\sum_{i=1}^{6} f(x_i)\\Delta x=f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x+f(x_5)\\Delta x+f(x_6)\\Delta x \\\\ &amp; =f(0.5)0.5+f(1)0.5+f(1.5)0.5+f(2)0.5+f(2.5)0.5+f(3)0.5 \\\\ &amp; =(0.125)0.5+(0.5)0.5+(1.125)0.5+(2)0.5+(3.125)0.5+(4.5)0.5 \\\\ &amp; =0.0625+0.25+0.5625+1+1.5625+2.25 \\\\ &amp; =5.6875 \\end{array}[\/latex]<\/div>\n<\/section>\n<section class=\"textbox example\">\n<p>Use both left-endpoint and right-endpoint approximations to approximate the area under the curve of [latex]f(x)=x^2[\/latex] on the interval [latex][0,2][\/latex]; use [latex]n=4[\/latex].<\/p>\n<div id=\"fs-id1170571758985\" class=\"exercise\">[reveal-answer q=\"fs-id1170572368402\"]Show Solution[\/reveal-answer]<br>\n[hidden-answer a=\"fs-id1170572368402\"]\n\n<p id=\"fs-id1170572368402\">First, divide the interval [latex][0,2][\/latex] into [latex]n[\/latex] equal subintervals.<\/p>\n<p>Using [latex]n=4, \\, \\Delta x=\\frac{(2-0)}{4}=0.5[\/latex]. This is the width of each rectangle.<\/p>\n<p>The intervals [latex][0,0.5], \\, [0.5,1], \\, [1,1.5], \\, [1.5,2][\/latex] are shown in Figure 5.<\/p>\n<div>\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203855\/CNX_Calc_Figure_05_01_010.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the curve f(x) = x^2 from 0 to 2 with endpoints spaced .5 units apart. The heights of the rectangle are determined by the values of the function at their left endpoints.\" width=\"487\" height=\"240\"> Figure 5. The graph shows the left-endpoint approximation of the area under [latex]f(x)=x^2[\/latex] from 0 to 2.[\/caption]\n<\/div>\n<p>Using a left-endpoint approximation, the heights are [latex]f(0)=0, \\, f(0.5)=0.25, \\, f(1)=1, \\, f(1.5)=2.25[\/latex]. Then,<\/p>\n<div id=\"fs-id1170572233829\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_4 &amp; =f(x_0)\\Delta x+f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x \\\\ &amp; =0(0.5)+0.25(0.5)+1(0.5)+2.25(0.5) \\\\ &amp; =1.75 \\end{array}[\/latex]<\/div>\n<p id=\"fs-id1170571657278\">The right-endpoint approximation is shown in Figure 6. The intervals are the same, [latex]\\Delta x=0.5[\/latex], but now use the right endpoint to calculate the height of the rectangles.<\/p>\n\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203858\/CNX_Calc_Figure_05_01_011.jpg\" alt=\"A graph of the right-endpoint approximation method of the area under the curve f(x) = x^2 from 0 to 2 with endpoints spaced .5 units apart. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"239\"> Figure 6. The graph shows the right-endpoint approximation of the area under [latex]f(x)=x^2[\/latex] from 0 to 2.[\/caption]\n\n<p>We have<\/p>\n<div id=\"fs-id1170571604758\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_4 &amp; =f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x \\\\ &amp; =0.25(0.5)+1(0.5)+2.25(0.5)+4(0.5) \\\\ &amp; =3.75 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170572448355\">The left-endpoint approximation is [latex]1.75[\/latex]; the right-endpoint approximation is [latex]3.75[\/latex].<\/p>\n<p>Watch the following video to see the worked solution to this example.<\/p>\n<center><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/qx-gvr8k8SY?controls=0&amp;start=570&amp;end=820&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/center>For closed captioning, open the video on its original page by clicking the Youtube logo in the lower right-hand corner of the video display. In YouTube, the video will begin at the same starting point as this clip, but will continue playing until the very end.\n\n<p>You can view the <a href=\"https:\/\/oerfiles.s3.us-west-2.amazonaws.com\/Calculus\/Calculus1+Videos\/5.1ApproximatingAreas570to820_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of \"5.1 Approximating Areas\" here (opens in new window)<\/a>.<\/p>\n<p>[\/hidden-answer]<\/p>\n<\/div>\n<\/section>\n<section class=\"textbox example\">\n<p>Sketch left-endpoint and right-endpoint approximations for [latex]f(x)=\\frac{1}{x}[\/latex] on [latex][1,2][\/latex]; use [latex]n=4[\/latex]. Approximate the area using both methods.<\/p>\n<div id=\"fs-id1170572448365\" class=\"exercise\">[reveal-answer q=\"fs-id1170572622439\"]Show Solution[\/reveal-answer]<br>\n[hidden-answer a=\"fs-id1170572622439\"]\n\n<p id=\"fs-id1170572622439\">The left-endpoint approximation is [latex]0.7595[\/latex]. The right-endpoint approximation is [latex]0.6345[\/latex]. See the graphs below.<\/p>\n\n[caption id=\"\" align=\"alignnone\" width=\"933\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203901\/CNX_Calc_Figure_05_01_012.jpg\" alt=\"Two graphs side by side showing the left-endpoint approximation ad right-endpoint approximation of the area under the curve f(x) = 1\/x from 1 to 2 with endpoints spaced evenly at .25 units. The heights of the left-endpoint approximation one are determined by the values of the function at the left endpoints, and the height of the right-endpoint approximation one are determined by the values of the function at the right endpoints.\" width=\"933\" height=\"382\"> Figure 7.[\/caption]\n\n<p>[\/hidden-answer]<\/p>\n<\/div>\n<\/section>\n<p id=\"fs-id1170572216478\">Looking at Figure 4 and the graphs in the previous example, we can see that when we use a small number of intervals, neither the left-endpoint approximation nor the right-endpoint approximation is a particularly accurate estimate of the area under the curve.<\/p>\n<p>However, it seems logical that if we increase the number of points in our partition, our estimate of [latex]A[\/latex] will improve. We will have more rectangles, but each rectangle will be thinner, so we will be able to fit the rectangles to the curve more precisely.<\/p>\n<p>We can demonstrate the improved approximation obtained through smaller intervals with an example.<\/p>\n<section class=\"textbox example\">\n<p>Let\u2019s explore the idea of increasing [latex]n[\/latex], first in a left-endpoint approximation with four rectangles, then eight rectangles, and finally [latex]32[\/latex] rectangles. Then, let\u2019s do the same thing in a right-endpoint approximation, using the same sets of intervals, of the same curved region.<\/p>\n<p>Figure 8 shows the area of the region under the curve [latex]f(x)=(x-1)^3+4[\/latex] on the interval [latex][0,2][\/latex] using a left-endpoint approximation where [latex]n=4[\/latex].<\/p>\n\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203904\/CNX_Calc_Figure_05_01_004.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the given curve from a = x0 to b=x4. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"238\"> Figure 8. With a left-endpoint approximation and dividing the region from a to b into four equal intervals, the area under the curve is approximately equal to the sum of the areas of the rectangles.[\/caption]\n\n<p>The width of each rectangle is<\/p>\n<div id=\"fs-id1170571697366\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\Delta x=\\frac{2-0}{4}=\\frac{1}{2}[\/latex]<\/div>\n<p id=\"fs-id1170572337010\">The area is approximated by the summed areas of the rectangles, or<\/p>\n<div id=\"fs-id1170572337013\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_4 &amp; =f(0)(0.5)+f(0.5)(0.5)+f(1)(0.5)+f(1.5)0.5 \\\\ &amp; =7.5 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170571637049\">Figure 9 shows the same curve divided into eight subintervals.<\/p>\n\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203906\/CNX_Calc_Figure_05_01_005.jpg\" alt=\"A graph showing the left-endpoint approximation for the area under the given curve from a=x0 to b = x8. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"275\"> Figure 9. The region under the curve is divided into [latex]n=8[\/latex] rectangular areas of equal width for a left-endpoint approximation.[\/caption]\n\n<p>Comparing the graph with four rectangles in Figure 8 with this graph with eight rectangles, we can see there appears to be less white space under the curve when [latex]n=8[\/latex]. This white space is area under the curve we are unable to include using our approximation.<\/p>\n<p>The area of the rectangles is<\/p>\n<div id=\"fs-id1170572309881\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_8 &amp; =f(0)(0.25)+f(0.25)(0.25)+f(0.5)(0.25)+f(0.75)(0.25) \\\\ &amp; +f(1)(0.25)+f(1.25)(0.25)+f(1.5)(0.25)+f(1.75)(0.25) \\\\ &amp; =7.75 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170571636300\">The graph in Figure 10 shows the same function with 32 rectangles inscribed under the curve.<\/p>\n\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203909\/CNX_Calc_Figure_05_01_006.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the given curve from a = x0 to b = x32. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"275\"> Figure 10. Here, 32 rectangles are inscribed under the curve for a left-endpoint approximation.[\/caption]\n\n<p>There appears to be little white space left. The area occupied by the rectangles is<\/p>\n<div id=\"fs-id1170571636308\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_{32} &amp; =f(0)(0.0625)+f(0.0625)(0.0625)+f(0.125)(0.0625)+\\cdots+f(1.9375)(0.0625) \\\\ &amp; =7.9375 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170572380031\">We can carry out a similar process for the right-endpoint approximation method. A right-endpoint approximation of the same curve, using four rectangles (Figure 11), yields an area<\/p>\n<div id=\"fs-id1170572380039\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_4 &amp; =f(0.5)(0.5)+f(1)(0.5)+f(1.5)(0.5)+f(2)(0.5) \\\\ &amp; =8.5 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203912\/CNX_Calc_Figure_05_01_007.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from x0 to x4. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"238\"> Figure 11. Now we divide the area under the curve into four equal subintervals for a right-endpoint approximation.[\/caption]\n<\/div>\n<p id=\"fs-id1170571699013\">Dividing the region over the interval [latex][0,2][\/latex] into eight rectangles results in [latex]\\Delta x=\\frac{2-0}{8}=0.25[\/latex]. The graph is shown in Figure 12. The area is<\/p>\n<div id=\"fs-id1170572420047\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_8 &amp; =f(0.25)(0.25)+f(0.5)(0.25)+f(0.75)(0.25)+f(1)(0.25) \\\\ &amp; +f(1.25)(0.25)+f(1.5)(0.25)+f(1.75)(0.25)+f(2)(0.25) \\\\ &amp; =8.25 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203915\/CNX_Calc_Figure_05_01_008.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from a=x0 to b=x8.The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"275\"> Figure 12. Here we use right-endpoint approximation for a region divided into eight equal subintervals.[\/caption]\n<\/div>\n<p id=\"fs-id1170571609283\">Last, the right-endpoint approximation with [latex]n=32[\/latex] is close to the actual area (Figure 13). The area is approximately<\/p>\n<div id=\"fs-id1170571609299\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_{32} &amp; =f(0.0625)(0.0625)+f(0.125)(0.0625)+f(0.1875)(0.0625)+\\cdots+f(2)(0.0625) \\\\ &amp; =8.0625 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n[caption id=\"\" align=\"aligncenter\" width=\"487\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203918\/CNX_Calc_Figure_05_01_009.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from a=x0 to b=x32. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"275\"> Figure 13. The region is divided into 32 equal subintervals for a right-endpoint approximation.[\/caption]\n<\/div>\n<p id=\"fs-id1170572305760\">Based on these figures and calculations, it appears we are on the right track; the rectangles appear to approximate the area under the curve better as [latex]n[\/latex] gets larger.<\/p>\n<p>Furthermore, as [latex]n[\/latex] increases, both the left-endpoint and right-endpoint approximations appear to approach an area of [latex]8[\/latex] square units.<\/p>\n<p>The table below shows a numerical comparison of the left- and right-endpoint methods.&nbsp;<\/p>\n<table class=\"center\">\n<caption><span style=\"font-size: 16px; font-weight: 400;\">Converging Values of Left- and Right-Endpoint Approximations as [latex]n[\/latex] Increases<\/span><\/caption>\n<thead>\n<tr valign=\"top\">\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Values of [latex]n[\/latex]<\/span><\/th>\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Approximate Area [latex]L_n[\/latex]<\/span><\/th>\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Approximate Area [latex]R_n[\/latex]<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=4[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.5[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.5[\/latex]<\/span><\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=8[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.75[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.25[\/latex]<\/span><\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=32[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.94[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.06[\/latex]<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section>\n<section class=\"textbox proTip\">\n<p>The idea that the approximations of the area under the curve get better and better as [latex]n[\/latex] gets larger and larger is very important, and we now explore this idea in more detail.<\/p>\n<\/section>\n<section class=\"textbox tryIt\">\n<p><br>\n[ohm_question hide_question_numbers=1]219940[\/ohm_question]<\/p>\n<\/section>\n","rendered":"<h2>Approximating Area Cont.<\/h2>\n<h3>Right-Endpoint Approximation<\/h3>\n<p id=\"fs-id1170572243150\">The second method for approximating area under a curve is the right-endpoint approximation. It is almost the same as the left-endpoint approximation, but now the heights of the rectangles are determined by the function values at the right of each subinterval.<\/p>\n<section class=\"textbox keyTakeaway\">\n<h3 style=\"text-align: left;\">Right-Endpoint Approximation<\/h3>\n<p id=\"fs-id1170572601216\">In the right-endpoint approximation, we estimate the area under a curve by constructing rectangles whose heights are determined by the function values at the right endpoints of subintervals.<\/p>\n<p>&nbsp;<\/p>\n<p>The approximation of the area [latex]A[\/latex] using [latex]n[\/latex] subintervals is given by the formula:<\/p>\n<div id=\"fs-id1170572337146\" class=\"equation\" style=\"text-align: center;\">[latex]A \\approx R_n = \\displaystyle\\sum_{i=1}^{n} f(x_i)\\Delta x[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1170571678912\">where [latex]\\Delta x =\\frac{b-a}{n}[\/latex] is the width of each subinterval, and [latex]x_{i}[\/latex] are the right endpoints of the subintervals.<\/p>\n<\/section>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203848\/CNX_Calc_Figure_05_01_002.jpg\" alt=\"A diagram showing the right-endpoint approximation of area under a curve. Under a parabola with vertex on the y axis and above the x axis, rectangles are drawn between a=x0 on the origin and b = xn. The rectangles have endpoints at a=x0, x1, x2\u2026x(n-1), and b = xn, spaced equally. The height of each rectangle is determined by the value of the given function at the right endpoint of the rectangle.\" width=\"487\" height=\"241\" \/><figcaption class=\"wp-caption-text\">Figure 3. In the right-endpoint approximation of area under a curve, the height of each rectangle is determined by the function value at the right of each subinterval. Note that the right-endpoint approximation differs from the left-endpoint approximation in (Figure).<\/figcaption><\/figure>\n<section class=\"textbox proTip\">\n<p>Since we have already seen how to solve using left-endpoint approximation, the right-endpoint approximation follows a similar process. The key difference is that the heights of the rectangles are determined by the function values at the right endpoints of the subintervals, rather than the left endpoints. This means:<\/p>\n<ul>\n<li><strong>Left-Endpoint Approximation:<\/strong> Uses [latex]f(x_{i -1})[\/latex] for each subinterval.<\/li>\n<li><strong>Right-Endpoint Approximation:<\/strong> Uses [latex]f(x_i)[\/latex]&nbsp;for each subinterval.<\/li>\n<\/ul>\n<p>By adjusting the endpoint used, we slightly alter the position and height of the rectangles, which can affect the accuracy of the approximation depending on the behavior of the function.<\/p>\n<\/section>\n<section class=\"textbox example\">\n<p id=\"fs-id1170571628182\">The graphs in Figure 4 represent the curve [latex]f(x)=\\frac{x^2}{2}[\/latex].<\/p>\n<figure style=\"width: 708px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203852\/CNX_Calc_Figure_05_01_003.jpg\" alt=\"Diagrams side by side, showing the differences in approximating the area under a parabolic curve with vertex at the origin between the left endpoints method (the first diagram) and the right endpoints method (the second diagram). In the first diagram, rectangles are drawn at even intervals (delta x) under the curve with heights determined by the value of the function at the left endpoints. In the second diagram, the rectangles are drawn in the same fashion, but with heights determined by the value of the function at the right endpoints. The endpoints in both are spaced equally from the origin to (3, 0), labeled x0 to x6.\" width=\"708\" height=\"301\" \/><figcaption class=\"wp-caption-text\">Figure 4. Methods of approximating the area under a curve by using (a) the left endpoints and (b) the right endpoints.<\/figcaption><\/figure>\n<p>In graph (a) we divide the region represented by the interval [latex][0,3][\/latex] into six subintervals, each of width [latex]0.5[\/latex]. Thus, [latex]\\Delta x=0.5[\/latex].<\/p>\n<p>We then form six rectangles by drawing vertical lines perpendicular to [latex]x_{i-1}[\/latex], the left endpoint of each subinterval.<\/p>\n<p>We determine the height of each rectangle by calculating [latex]f(x_{i-1})[\/latex] for [latex]i=1,2,3,4,5,6[\/latex].<\/p>\n<p>The intervals are [latex][0,0.5], \\, [0.5,1], \\, [1,1.5], \\, [1.5,2], \\, [2,2.5], \\, [2.5,3][\/latex].<\/p>\n<p>We find the area of each rectangle by multiplying the height by the width.<\/p>\n<p>Then, the sum of the rectangular areas approximates the area between [latex]f(x)[\/latex] and the [latex]x[\/latex]-axis.<\/p>\n<p>When the left endpoints are used to calculate height, we have a left-endpoint approximation. Thus,<\/p>\n<div id=\"fs-id1170571807226\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} A \\approx L_6 & =\\displaystyle\\sum_{i=1}^{6} f(x_{i-1})\\Delta x=f(x_0)\\Delta x+f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x+f(x_5)\\Delta x \\\\ & =f(0)0.5+f(0.5)0.5+f(1)0.5+f(1.5)0.5+f(2)0.5+f(2.5)0.5 \\\\ & =(0)0.5+(0.125)0.5+(0.5)0.5+(1.125)0.5+(2)0.5+(3.125)0.5 \\\\ & =0+0.0625+0.25+0.5625+1+1.5625 \\\\ & =3.4375 \\end{array}[\/latex]&nbsp;<\/div>\n<p id=\"fs-id1170572607946\">In Figure 4(b), we draw vertical lines perpendicular to [latex]x_i[\/latex] such that [latex]x_i[\/latex] is the right endpoint of each subinterval, and calculate [latex]f(x_i)[\/latex] for [latex]i=1,2,3,4,5,6[\/latex].<\/p>\n<p>We multiply each [latex]f(x_i)[\/latex] by [latex]\\Delta x[\/latex] to find the rectangular areas, and then add them. This is a right-endpoint approximation of the area under [latex]f(x)[\/latex]. Thus,<\/p>\n<div id=\"fs-id1170572223998\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} A \\approx R_6 & =\\displaystyle\\sum_{i=1}^{6} f(x_i)\\Delta x=f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x+f(x_5)\\Delta x+f(x_6)\\Delta x \\\\ & =f(0.5)0.5+f(1)0.5+f(1.5)0.5+f(2)0.5+f(2.5)0.5+f(3)0.5 \\\\ & =(0.125)0.5+(0.5)0.5+(1.125)0.5+(2)0.5+(3.125)0.5+(4.5)0.5 \\\\ & =0.0625+0.25+0.5625+1+1.5625+2.25 \\\\ & =5.6875 \\end{array}[\/latex]<\/div>\n<\/section>\n<section class=\"textbox example\">\n<p>Use both left-endpoint and right-endpoint approximations to approximate the area under the curve of [latex]f(x)=x^2[\/latex] on the interval [latex][0,2][\/latex]; use [latex]n=4[\/latex].<\/p>\n<div id=\"fs-id1170571758985\" class=\"exercise\">\n<div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"qfs-id1170572368402\">Show Solution<\/button><\/p>\n<div id=\"qfs-id1170572368402\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1170572368402\">First, divide the interval [latex][0,2][\/latex] into [latex]n[\/latex] equal subintervals.<\/p>\n<p>Using [latex]n=4, \\, \\Delta x=\\frac{(2-0)}{4}=0.5[\/latex]. This is the width of each rectangle.<\/p>\n<p>The intervals [latex][0,0.5], \\, [0.5,1], \\, [1,1.5], \\, [1.5,2][\/latex] are shown in Figure 5.<\/p>\n<div>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203855\/CNX_Calc_Figure_05_01_010.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the curve f(x) = x^2 from 0 to 2 with endpoints spaced .5 units apart. The heights of the rectangle are determined by the values of the function at their left endpoints.\" width=\"487\" height=\"240\" \/><figcaption class=\"wp-caption-text\">Figure 5. The graph shows the left-endpoint approximation of the area under [latex]f(x)=x^2[\/latex] from 0 to 2.<\/figcaption><\/figure>\n<\/div>\n<p>Using a left-endpoint approximation, the heights are [latex]f(0)=0, \\, f(0.5)=0.25, \\, f(1)=1, \\, f(1.5)=2.25[\/latex]. Then,<\/p>\n<div id=\"fs-id1170572233829\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_4 & =f(x_0)\\Delta x+f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x \\\\ & =0(0.5)+0.25(0.5)+1(0.5)+2.25(0.5) \\\\ & =1.75 \\end{array}[\/latex]<\/div>\n<p id=\"fs-id1170571657278\">The right-endpoint approximation is shown in Figure 6. The intervals are the same, [latex]\\Delta x=0.5[\/latex], but now use the right endpoint to calculate the height of the rectangles.<\/p>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203858\/CNX_Calc_Figure_05_01_011.jpg\" alt=\"A graph of the right-endpoint approximation method of the area under the curve f(x) = x^2 from 0 to 2 with endpoints spaced .5 units apart. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"239\" \/><figcaption class=\"wp-caption-text\">Figure 6. The graph shows the right-endpoint approximation of the area under [latex]f(x)=x^2[\/latex] from 0 to 2.<\/figcaption><\/figure>\n<p>We have<\/p>\n<div id=\"fs-id1170571604758\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_4 & =f(x_1)\\Delta x+f(x_2)\\Delta x+f(x_3)\\Delta x+f(x_4)\\Delta x \\\\ & =0.25(0.5)+1(0.5)+2.25(0.5)+4(0.5) \\\\ & =3.75 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170572448355\">The left-endpoint approximation is [latex]1.75[\/latex]; the right-endpoint approximation is [latex]3.75[\/latex].<\/p>\n<p>Watch the following video to see the worked solution to this example.<\/p>\n<div style=\"text-align: center;\"><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/qx-gvr8k8SY?controls=0&amp;start=570&amp;end=820&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/div>\n<p>For closed captioning, open the video on its original page by clicking the Youtube logo in the lower right-hand corner of the video display. In YouTube, the video will begin at the same starting point as this clip, but will continue playing until the very end.<\/p>\n<p>You can view the <a href=\"https:\/\/oerfiles.s3.us-west-2.amazonaws.com\/Calculus\/Calculus1+Videos\/5.1ApproximatingAreas570to820_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of &#8220;5.1 Approximating Areas&#8221; here (opens in new window)<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"textbox example\">\n<p>Sketch left-endpoint and right-endpoint approximations for [latex]f(x)=\\frac{1}{x}[\/latex] on [latex][1,2][\/latex]; use [latex]n=4[\/latex]. Approximate the area using both methods.<\/p>\n<div id=\"fs-id1170572448365\" class=\"exercise\">\n<div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"qfs-id1170572622439\">Show Solution<\/button><\/p>\n<div id=\"qfs-id1170572622439\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1170572622439\">The left-endpoint approximation is [latex]0.7595[\/latex]. The right-endpoint approximation is [latex]0.6345[\/latex]. See the graphs below.<\/p>\n<figure style=\"width: 933px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203901\/CNX_Calc_Figure_05_01_012.jpg\" alt=\"Two graphs side by side showing the left-endpoint approximation ad right-endpoint approximation of the area under the curve f(x) = 1\/x from 1 to 2 with endpoints spaced evenly at .25 units. The heights of the left-endpoint approximation one are determined by the values of the function at the left endpoints, and the height of the right-endpoint approximation one are determined by the values of the function at the right endpoints.\" width=\"933\" height=\"382\" \/><figcaption class=\"wp-caption-text\">Figure 7.<\/figcaption><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<p id=\"fs-id1170572216478\">Looking at Figure 4 and the graphs in the previous example, we can see that when we use a small number of intervals, neither the left-endpoint approximation nor the right-endpoint approximation is a particularly accurate estimate of the area under the curve.<\/p>\n<p>However, it seems logical that if we increase the number of points in our partition, our estimate of [latex]A[\/latex] will improve. We will have more rectangles, but each rectangle will be thinner, so we will be able to fit the rectangles to the curve more precisely.<\/p>\n<p>We can demonstrate the improved approximation obtained through smaller intervals with an example.<\/p>\n<section class=\"textbox example\">\n<p>Let\u2019s explore the idea of increasing [latex]n[\/latex], first in a left-endpoint approximation with four rectangles, then eight rectangles, and finally [latex]32[\/latex] rectangles. Then, let\u2019s do the same thing in a right-endpoint approximation, using the same sets of intervals, of the same curved region.<\/p>\n<p>Figure 8 shows the area of the region under the curve [latex]f(x)=(x-1)^3+4[\/latex] on the interval [latex][0,2][\/latex] using a left-endpoint approximation where [latex]n=4[\/latex].<\/p>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203904\/CNX_Calc_Figure_05_01_004.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the given curve from a = x0 to b=x4. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"238\" \/><figcaption class=\"wp-caption-text\">Figure 8. With a left-endpoint approximation and dividing the region from a to b into four equal intervals, the area under the curve is approximately equal to the sum of the areas of the rectangles.<\/figcaption><\/figure>\n<p>The width of each rectangle is<\/p>\n<div id=\"fs-id1170571697366\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\Delta x=\\frac{2-0}{4}=\\frac{1}{2}[\/latex]<\/div>\n<p id=\"fs-id1170572337010\">The area is approximated by the summed areas of the rectangles, or<\/p>\n<div id=\"fs-id1170572337013\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_4 & =f(0)(0.5)+f(0.5)(0.5)+f(1)(0.5)+f(1.5)0.5 \\\\ & =7.5 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170571637049\">Figure 9 shows the same curve divided into eight subintervals.<\/p>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203906\/CNX_Calc_Figure_05_01_005.jpg\" alt=\"A graph showing the left-endpoint approximation for the area under the given curve from a=x0 to b = x8. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"275\" \/><figcaption class=\"wp-caption-text\">Figure 9. The region under the curve is divided into [latex]n=8[\/latex] rectangular areas of equal width for a left-endpoint approximation.<\/figcaption><\/figure>\n<p>Comparing the graph with four rectangles in Figure 8 with this graph with eight rectangles, we can see there appears to be less white space under the curve when [latex]n=8[\/latex]. This white space is area under the curve we are unable to include using our approximation.<\/p>\n<p>The area of the rectangles is<\/p>\n<div id=\"fs-id1170572309881\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_8 & =f(0)(0.25)+f(0.25)(0.25)+f(0.5)(0.25)+f(0.75)(0.25) \\\\ & +f(1)(0.25)+f(1.25)(0.25)+f(1.5)(0.25)+f(1.75)(0.25) \\\\ & =7.75 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170571636300\">The graph in Figure 10 shows the same function with 32 rectangles inscribed under the curve.<\/p>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203909\/CNX_Calc_Figure_05_01_006.jpg\" alt=\"A graph of the left-endpoint approximation of the area under the given curve from a = x0 to b = x32. The heights of the rectangles are determined by the values of the function at the left endpoints.\" width=\"487\" height=\"275\" \/><figcaption class=\"wp-caption-text\">Figure 10. Here, 32 rectangles are inscribed under the curve for a left-endpoint approximation.<\/figcaption><\/figure>\n<p>There appears to be little white space left. The area occupied by the rectangles is<\/p>\n<div id=\"fs-id1170571636308\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} L_{32} & =f(0)(0.0625)+f(0.0625)(0.0625)+f(0.125)(0.0625)+\\cdots+f(1.9375)(0.0625) \\\\ & =7.9375 \\end{array}[\/latex]<\/div>\n<div>\n<div class=\"mceTemp\">&nbsp;<\/div>\n<\/div>\n<p id=\"fs-id1170572380031\">We can carry out a similar process for the right-endpoint approximation method. A right-endpoint approximation of the same curve, using four rectangles (Figure 11), yields an area<\/p>\n<div id=\"fs-id1170572380039\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_4 & =f(0.5)(0.5)+f(1)(0.5)+f(1.5)(0.5)+f(2)(0.5) \\\\ & =8.5 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203912\/CNX_Calc_Figure_05_01_007.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from x0 to x4. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"238\" \/><figcaption class=\"wp-caption-text\">Figure 11. Now we divide the area under the curve into four equal subintervals for a right-endpoint approximation.<\/figcaption><\/figure>\n<\/div>\n<p id=\"fs-id1170571699013\">Dividing the region over the interval [latex][0,2][\/latex] into eight rectangles results in [latex]\\Delta x=\\frac{2-0}{8}=0.25[\/latex]. The graph is shown in Figure 12. The area is<\/p>\n<div id=\"fs-id1170572420047\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_8 & =f(0.25)(0.25)+f(0.5)(0.25)+f(0.75)(0.25)+f(1)(0.25) \\\\ & +f(1.25)(0.25)+f(1.5)(0.25)+f(1.75)(0.25)+f(2)(0.25) \\\\ & =8.25 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203915\/CNX_Calc_Figure_05_01_008.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from a=x0 to b=x8.The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"275\" \/><figcaption class=\"wp-caption-text\">Figure 12. Here we use right-endpoint approximation for a region divided into eight equal subintervals.<\/figcaption><\/figure>\n<\/div>\n<p id=\"fs-id1170571609283\">Last, the right-endpoint approximation with [latex]n=32[\/latex] is close to the actual area (Figure 13). The area is approximately<\/p>\n<div id=\"fs-id1170571609299\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{ll} R_{32} & =f(0.0625)(0.0625)+f(0.125)(0.0625)+f(0.1875)(0.0625)+\\cdots+f(2)(0.0625) \\\\ & =8.0625 \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<div>\n<figure style=\"width: 487px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11203918\/CNX_Calc_Figure_05_01_009.jpg\" alt=\"A graph of the right-endpoint approximation for the area under the given curve from a=x0 to b=x32. The heights of the rectangles are determined by the values of the function at the right endpoints.\" width=\"487\" height=\"275\" \/><figcaption class=\"wp-caption-text\">Figure 13. The region is divided into 32 equal subintervals for a right-endpoint approximation.<\/figcaption><\/figure>\n<\/div>\n<p id=\"fs-id1170572305760\">Based on these figures and calculations, it appears we are on the right track; the rectangles appear to approximate the area under the curve better as [latex]n[\/latex] gets larger.<\/p>\n<p>Furthermore, as [latex]n[\/latex] increases, both the left-endpoint and right-endpoint approximations appear to approach an area of [latex]8[\/latex] square units.<\/p>\n<p>The table below shows a numerical comparison of the left- and right-endpoint methods.&nbsp;<\/p>\n<table class=\"center\">\n<caption><span style=\"font-size: 16px; font-weight: 400;\">Converging Values of Left- and Right-Endpoint Approximations as [latex]n[\/latex] Increases<\/span><\/caption>\n<thead>\n<tr valign=\"top\">\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Values of [latex]n[\/latex]<\/span><\/th>\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Approximate Area [latex]L_n[\/latex]<\/span><\/th>\n<th style=\"text-align: center;\"><span style=\"font-size: 16px; font-weight: 400;\">Approximate Area [latex]R_n[\/latex]<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=4[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.5[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.5[\/latex]<\/span><\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=8[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.75[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.25[\/latex]<\/span><\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]n=32[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]7.94[\/latex]<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-size: 16px;\">[latex]8.06[\/latex]<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section>\n<section class=\"textbox proTip\">\n<p>The idea that the approximations of the area under the curve get better and better as [latex]n[\/latex] gets larger and larger is very important, and we now explore this idea in more detail.<\/p>\n<\/section>\n<section class=\"textbox tryIt\">\n<p>\n<iframe loading=\"lazy\" id=\"ohm219940\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=219940&theme=lumen&iframe_resize_id=ohm219940&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<\/section>\n","protected":false},"author":6,"menu_order":6,"template":"","meta":{"_candela_citation":"[{\"type\":\"cc\",\"description\":\"Calculus Volume 1\",\"author\":\"Gilbert Strang, Edwin (Jed) Herman\",\"organization\":\"OpenStax\",\"url\":\"https:\/\/openstax.org\/details\/books\/calculus-volume-1\",\"project\":\"\",\"license\":\"cc-by-nc-sa\",\"license_terms\":\"Access for free at https:\/\/openstax.org\/books\/calculus-volume-1\/pages\/1-introduction\"},{\"type\":\"original\",\"description\":\"5.1 Approximating Areas\",\"author\":\"Ryan Melton\",\"organization\":\"\",\"url\":\"\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"\"}]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":371,"module-header":"","content_attributions":[{"type":"cc","description":"Calculus Volume 1","author":"Gilbert Strang, Edwin (Jed) Herman","organization":"OpenStax","url":"https:\/\/openstax.org\/details\/books\/calculus-volume-1","project":"","license":"cc-by-nc-sa","license_terms":"Access for free at https:\/\/openstax.org\/books\/calculus-volume-1\/pages\/1-introduction"},{"type":"original","description":"5.1 Approximating Areas","author":"Ryan Melton","organization":"","url":"","project":"","license":"cc-by","license_terms":""}],"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\/377"}],"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\/6"}],"version-history":[{"count":0,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/377\/revisions"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/parts\/371"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapters\/377\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/media?parent=377"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/pressbooks\/v2\/chapter-type?post=377"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/contributor?post=377"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus2\/wp-json\/wp\/v2\/license?post=377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}