{"id":298,"date":"2023-09-20T22:48:54","date_gmt":"2023-09-20T22:48:54","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/calculus1\/chapter\/linear-approximation-of-a-function-at-a-point\/"},"modified":"2024-08-05T12:47:11","modified_gmt":"2024-08-05T12:47:11","slug":"linear-approximations-and-differentials-learn-it-1","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/calculus1\/chapter\/linear-approximations-and-differentials-learn-it-1\/","title":{"raw":"Linear Approximations and Differentials: Learn It 1","rendered":"Linear Approximations and Differentials: Learn It 1"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Explain and use linearization to approximate a function\u2019s value near a specific point<\/li>\r\n\t<li>Calculate and interpret differentials to estimate small changes in function values<\/li>\r\n\t<li>Measure the accuracy of approximations made with differentials by calculating relative and percentage errors<\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Linear Approximation of a Function at a Point<\/h2>\r\n<p>We have just seen how derivatives allow us to compare related quantities that are changing over time. In this section, we examine another application of derivatives: the ability to approximate functions locally by linear functions. Linear functions are the easiest functions with which to work, so they provide a useful tool for approximating function values.<\/p>\r\n<section class=\"textbox recall\">\r\n<p>Recall that the tangent line to the graph of [latex]f[\/latex] at [latex]a[\/latex] is given by the equation<\/p>\r\n<div id=\"fs-id1165042965164\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=f(a)+f^{\\prime}(a)(x-a)[\/latex].<\/div>\r\n<div>\u00a0<\/div>\r\n<p>This is simply derived from the point-slope form of the equation of a line [latex]y-{y}_{1}=m\\left(x-{x}_{1}\\right)[\/latex] by adding\u00a0 [latex]{y}_{1}[\/latex] to both sides!<\/p>\r\n<\/section>\r\n<p>Consider the function [latex]f(x)=\\frac{1}{x}[\/latex] at [latex]a=2[\/latex]. Since [latex]f[\/latex] is differentiable at [latex]x=2[\/latex] and [latex]f^{\\prime}(x)=-\\frac{1}{x^2}[\/latex], we see that [latex]f^{\\prime}(2)=-\\frac{1}{4}[\/latex].<\/p>\r\n<p>Therefore, the tangent line to the graph of [latex]f[\/latex] at [latex]a=2[\/latex] is given by the equation<\/p>\r\n<div id=\"fs-id1165043259941\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\dfrac{1}{2}-\\dfrac{1}{4}(x-2)[\/latex]<\/div>\r\n\r\n[caption id=\"\" align=\"aligncenter\" width=\"851\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11210745\/CNX_Calc_Figure_04_02_006.jpg\" alt=\"This figure has two parts a and b. In figure a, the line f(x) = 1\/x is shown with its tangent line at x = 2. In figure b, the area near the tangent point is blown up to show how good of an approximation the tangent is near x = 2.\" width=\"851\" height=\"462\" \/> Figure 1. (a) The tangent line to [latex]f(x)=\\frac{1}{x}[\/latex] at [latex]x=2[\/latex] provides a good approximation to [latex]f[\/latex] for [latex]x[\/latex] near 2. (b) At [latex]x=2.1[\/latex], the value of [latex]y[\/latex] on the tangent line to [latex]f(x)=\\frac{1}{x}[\/latex] is 0.475. The actual value of [latex]f(2.1)[\/latex] is [latex]\\frac{1}{2.1}[\/latex], which is approximately 0.47619.[\/caption]\r\n\r\n<p id=\"fs-id1165042514596\">Figure 1a shows a graph of [latex]f(x)=\\frac{1}{x}[\/latex] along with the tangent line to [latex]f[\/latex] at [latex]x=2[\/latex]. Note that for [latex]x[\/latex] near [latex]2[\/latex], the graph of the tangent line is close to the graph of [latex]f[\/latex]. As a result, we can use the equation of the tangent line to approximate [latex]f(x)[\/latex] for [latex]x[\/latex] near [latex]2[\/latex].<\/p>\r\n<p>If [latex]x=2.1[\/latex], the [latex]y[\/latex] value of the corresponding point on the tangent line is<\/p>\r\n<div id=\"fs-id1165043429657\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\dfrac{1}{2}-\\dfrac{1}{4}(2.1-2)=0.475[\/latex]<\/div>\r\n<p id=\"fs-id1165042613079\">The actual value of [latex]f(2.1)[\/latex] is given by<\/p>\r\n<div id=\"fs-id1165043306568\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]f(2.1)=\\dfrac{1}{2.1}\\approx 0.47619[\/latex]<\/div>\r\n<p id=\"fs-id1165043157784\">Therefore, the tangent line gives us a fairly good approximation of [latex]f(2.1)[\/latex] (Figure 1b).<\/p>\r\n<p>However, note that for values of [latex]x[\/latex] far from [latex]2[\/latex], the equation of the tangent line does not give us a good approximation. If [latex]x=10[\/latex], the [latex]y[\/latex]-value of the corresponding point on the tangent line is<\/p>\r\n<div id=\"fs-id1165042634904\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\frac{1}{2}-\\dfrac{1}{4}(10-2)=\\dfrac{1}{2}-2=-1.5[\/latex],<\/div>\r\n<p id=\"fs-id1165043187581\">whereas the value of the function at [latex]x=10[\/latex] is [latex]f(10)=0.1[\/latex].<\/p>\r\n<p id=\"fs-id1165043067518\">In general, for a differentiable function [latex]f[\/latex], the equation of the tangent line to [latex]f[\/latex] at [latex]x=a[\/latex] can be used to approximate [latex]f(x)[\/latex] for [latex]x[\/latex] near [latex]a[\/latex]. Therefore, we can write<\/p>\r\n<div id=\"fs-id1165042333160\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]f(x)\\approx f(a)+f^{\\prime}(a)(x-a)[\/latex] for [latex]x[\/latex] near [latex]a[\/latex]<\/div>\r\n<p>We call the linear function<\/p>\r\n<div id=\"fs-id1165043306789\" class=\"equation\" style=\"text-align: center;\">[latex]L(x)=f(a)+f^{\\prime}(a)(x-a)[\/latex]<\/div>\r\n<p id=\"fs-id1165043001981\">the <strong>linear approximation<\/strong>, or <strong>tangent line approximation<\/strong>, of [latex]f[\/latex] at [latex]x=a[\/latex]. This function [latex]L[\/latex] is also known as the linearization of [latex]f[\/latex] at [latex]x=a[\/latex].<\/p>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>linear approximation<\/h3>\r\n<p>Linear approximation, or tangent line approximation, is a mathematical method that uses the tangent at a specific point to estimate the values of a function near that point.<\/p>\r\n<\/section>\r\n<section class=\"textbox example\">\r\n<p id=\"fs-id1165043257102\">Find the linear approximation of [latex]f(x)=\\sqrt{x}[\/latex] at [latex]x=9[\/latex] and use the approximation to estimate [latex]\\sqrt{9.1}[\/latex].<\/p>\r\n<p>[reveal-answer q=\"fs-id1165043351836\"]Show Solution[\/reveal-answer]<br \/>\r\n[hidden-answer a=\"fs-id1165043351836\"]<\/p>\r\n<p id=\"fs-id1165043351836\">Since we are looking for the linear approximation at [latex]x=9[\/latex], using the tangent line approximation, we know the linear approximation is given by<\/p>\r\n<div id=\"fs-id1165042880023\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(9)+f^{\\prime}(9)(x-9)[\/latex].<\/div>\r\n<p id=\"fs-id1165043429300\">We need to find [latex]f(9)[\/latex] and [latex]f^{\\prime}(9)[\/latex].<\/p>\r\n<div id=\"fs-id1165043001328\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll} f(x)=\\sqrt{x}&amp; \\Rightarrow &amp; f(9)=\\sqrt{9}=3 \\\\ f^{\\prime}(x)=\\frac{1}{2\\sqrt{x}}&amp; \\Rightarrow &amp; f^{\\prime}(9)=\\frac{1}{2\\sqrt{9}}=\\frac{1}{6} \\end{array}[\/latex]<\/div>\r\n<p id=\"fs-id1165043106851\">Therefore, the linear approximation is given by Figure 2.<\/p>\r\n<div id=\"fs-id1165042370716\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=3+\\frac{1}{6}(x-9)[\/latex]<\/div>\r\n<p id=\"fs-id1165042332089\">Using the linear approximation, we can estimate [latex]\\sqrt{9.1}[\/latex] by writing<\/p>\r\n<div id=\"fs-id1165042922906\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\sqrt{9.1}=f(9.1)\\approx L(9.1)=3+\\frac{1}{6}(9.1-9)\\approx 3.0167[\/latex].<\/div>\r\n\r\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\/11210748\/CNX_Calc_Figure_04_02_002.jpg\" alt=\"The function f(x) = the square root of x is shown with its tangent at (9, 3). The tangent appears to be a very good approximation from x = 6 to x = 12.\" width=\"487\" height=\"198\" \/> Figure 2. The local linear approximation to [latex]f(x)=\\sqrt{x}[\/latex] at [latex]x=9[\/latex] provides an approximation to [latex]f[\/latex] for [latex]x[\/latex] near 9.[\/caption]\r\n\r\n<p><strong>Analysis<\/strong><\/p>\r\n<p id=\"fs-id1165042711813\">Using a calculator, the value of [latex]\\sqrt{9.1}[\/latex] to four decimal places is 3.0166. The value given by the linear approximation, 3.0167, is very close to the value obtained with a calculator, so it appears that using this linear approximation is a good way to estimate [latex]\\sqrt{x}[\/latex], at least for [latex]x[\/latex] near 9. At the same time, it may seem odd to use a linear approximation when we can just push a few buttons on a calculator to evaluate [latex]\\sqrt{9.1}[\/latex]. However, how does the calculator evaluate [latex]\\sqrt{9.1}[\/latex]? The calculator uses an approximation! In fact, calculators and computers use approximations all the time to evaluate mathematical expressions; they just use higher-degree approximations.<\/p>\r\n<p>Watch the following video to see the worked solution to this example.<\/p>\r\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/R5C9K3oedGQ?controls=0&amp;start=128&amp;end=304&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\r\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>\r\n<p>You can view the <a href=\"https:\/\/oerfiles.s3.us-west-2.amazonaws.com\/Calculus\/Calculus1+Videos\/4.2LinearApproximationsAndDifferentials128to304_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of \"4.2 Linear Approximations and Differentials\" here (opens in new window)<\/a>.<\/p>\r\n<p>[\/hidden-answer]<\/p>\r\n<\/section>\r\n<section class=\"textbox example\">\r\n<p>Find the linear approximation of [latex]f(x)= \\sin x[\/latex] at [latex]x=\\dfrac{\\pi}{3}[\/latex] and use it to approximate [latex]\\sin (62^{\\circ})[\/latex].<\/p>\r\n<p>[reveal-answer q=\"fs-id1165043111804\"]Show Solution[\/reveal-answer]<br \/>\r\n[hidden-answer a=\"fs-id1165043111804\"]<\/p>\r\n<p id=\"fs-id1165043111804\">First we note that since [latex]\\frac{\\pi}{3}[\/latex] rad is equivalent to [latex]60^{\\circ}[\/latex], using the linear approximation at [latex]x=\\pi \/3[\/latex] seems reasonable. The linear approximation is given by<\/p>\r\n<div id=\"fs-id1165043090235\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(\\frac{\\pi}{3})+f^{\\prime}(\\frac{\\pi}{3})(x-\\frac{\\pi}{3})[\/latex].<\/div>\r\n<p id=\"fs-id1165042551936\">We see that<\/p>\r\n<div id=\"fs-id1165043285221\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll}f(x)= \\sin x &amp; \\Rightarrow &amp; f(\\frac{\\pi}{3})= \\sin (\\frac{\\pi}{3})=\\frac{\\sqrt{3}}{2} \\\\ f^{\\prime}(x)= \\cos x &amp; \\Rightarrow &amp; f^{\\prime}(\\frac{\\pi}{3})= \\cos (\\frac{\\pi}{3})=\\frac{1}{2} \\end{array}[\/latex]<\/div>\r\n<p id=\"fs-id1165043073754\">Therefore, the linear approximation of [latex]f[\/latex] at [latex]x=\\pi \/3[\/latex] is given by Figure 3.<\/p>\r\n<div id=\"fs-id1165042332414\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(x-\\frac{\\pi}{3})[\/latex]<\/div>\r\n<p id=\"fs-id1165043078487\">To estimate [latex] \\sin (62^{\\circ})[\/latex] using [latex]L[\/latex], we must first convert [latex]62^{\\circ}[\/latex] to radians. We have [latex]62^{\\circ}=\\frac{62\\pi}{180}[\/latex] radians, so the estimate for [latex] \\sin (62^{\\circ})[\/latex] is given by<\/p>\r\n<div id=\"fs-id1165043013778\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex] \\sin (62^{\\circ})=f(\\frac{62\\pi}{180})\\approx L(\\frac{62\\pi }{180})=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(\\frac{62\\pi }{180}-\\frac{\\pi }{3})=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(\\frac{2\\pi }{180})=\\frac{\\sqrt{3}}{2}+\\frac{\\pi }{180}\\approx 0.88348[\/latex].<\/div>\r\n\r\n[caption id=\"\" align=\"aligncenter\" width=\"731\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11210750\/CNX_Calc_Figure_04_02_003.jpg\" alt=\"The function f(x) = sin x is shown with its tangent at (\u03c0\/3, square root of 3 \/ 2). The tangent appears to be a very good approximation for x near \u03c0 \/ 3.\" width=\"731\" height=\"275\" \/> Figure 3. The linear approximation to [latex]f(x)= \\sin x[\/latex] at [latex]x=\\frac{\\pi}{3}[\/latex] provides an approximation to [latex] \\sin x[\/latex] for [latex]x[\/latex] near [latex]\\frac{\\pi}{3}.[\/latex][\/caption]\r\n\r\n<p>Watch the following video to see the worked solution to this example.<\/p>\r\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/R5C9K3oedGQ?controls=0&amp;start=305&amp;end=437&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\r\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>\r\n<p>You can view the <a href=\"https:\/\/oerfiles.s3.us-west-2.amazonaws.com\/Calculus\/Calculus1+Videos\/4.2LinearApproximationsAndDifferentials305to437_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of \"4.2 Linear Approximations and Differentials\" here (opens in new window)<\/a>.<\/p>\r\n<p>[\/hidden-answer]<\/p>\r\n<\/section>\r\n<p>Linear approximations may be used in estimating roots and powers. In the next example, we find the linear approximation for [latex]f(x)=(1+x)^n[\/latex] at [latex]x=0[\/latex], which can be used to estimate roots and powers for real numbers near [latex]1[\/latex]. The same idea can be extended to a function of the form [latex]f(x)=(m+x)^n[\/latex] to estimate roots and powers near a different number [latex]m[\/latex].<\/p>\r\n<section class=\"textbox example\">\r\n<p id=\"fs-id1165042604945\">Find the linear approximation of [latex]f(x)=(1+x)^n[\/latex] at [latex]x=0[\/latex]. Use this approximation to estimate [latex](1.01)^3[\/latex].<\/p>\r\n<p>[reveal-answer q=\"fs-id1165043396408\"]Show Solution[\/reveal-answer]<br \/>\r\n[hidden-answer a=\"fs-id1165043396408\"]<\/p>\r\n<p id=\"fs-id1165043396408\">The linear approximation at [latex]x=0[\/latex] is given by<\/p>\r\n<div id=\"fs-id1165042710456\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(0)+f^{\\prime}(0)(x-0)[\/latex].<\/div>\r\n<p>&nbsp;<\/p>\r\n<p id=\"fs-id1165042553978\">Because<\/p>\r\n<div id=\"fs-id1165042369140\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll} f(x)=(1+x)^n &amp; \\Rightarrow &amp; f(0)=1 \\\\ f^{\\prime}(x)=n(1+x)^{n-1} &amp; \\Rightarrow &amp; f^{\\prime}(0)=n, \\end{array}[\/latex]<\/div>\r\n<p>&nbsp;<\/p>\r\n<p id=\"fs-id1165043062849\">the linear approximation is given by Figure 4a.<\/p>\r\n<div id=\"fs-id1165042925702\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=1+n(x-0)=1+nx[\/latex]<\/div>\r\n<p>&nbsp;<\/p>\r\n<p id=\"fs-id1165043374164\">We can approximate [latex](1.01)^3[\/latex] by evaluating [latex]L(0.01)[\/latex] when [latex]n=3[\/latex]. We conclude that<\/p>\r\n<div id=\"fs-id1165042966729\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex](1.01)^3=f(1.01)\\approx L(1.01)=1+3(0.01)=1.03[\/latex].<\/div>\r\n\r\n[caption id=\"\" align=\"aligncenter\" width=\"814\"]<img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2332\/2018\/01\/11210754\/CNX_Calc_Figure_04_02_007.jpg\" alt=\"This figure has two parts a and b. In figure a, the line f(x) = (1 + x)3 is shown with its tangent line at (0, 1). In figure b, the area near the tangent point is blown up to show how good of an approximation the tangent is near (0, 1).\" width=\"814\" height=\"387\" \/> Figure 4. (a) The linear approximation of [latex]f(x)[\/latex] at [latex]x=0[\/latex] is [latex]L(x)[\/latex]. (b) The actual value of [latex]1.01^3[\/latex] is 1.030301. The linear approximation of [latex]f(x)[\/latex] at [latex]x=0[\/latex] estimates [latex]1.01^3[\/latex] to be 1.03.[\/caption]\r\n\r\n<p>[\/hidden-answer]<\/p>\r\n<\/section>\r\n<section class=\"textbox tryIt\">\r\n<p>[ohm_question hide_question_numbers=1]288391[\/ohm_question]<\/p>\r\n<\/section>\r\n<section class=\"textbox tryIt\">\r\n<p>[ohm_question hide_question_numbers=1]5186[\/ohm_question]<\/p>\r\n<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Explain and use linearization to approximate a function\u2019s value near a specific point<\/li>\n<li>Calculate and interpret differentials to estimate small changes in function values<\/li>\n<li>Measure the accuracy of approximations made with differentials by calculating relative and percentage errors<\/li>\n<\/ul>\n<\/section>\n<h2>Linear Approximation of a Function at a Point<\/h2>\n<p>We have just seen how derivatives allow us to compare related quantities that are changing over time. In this section, we examine another application of derivatives: the ability to approximate functions locally by linear functions. Linear functions are the easiest functions with which to work, so they provide a useful tool for approximating function values.<\/p>\n<section class=\"textbox recall\">\n<p>Recall that the tangent line to the graph of [latex]f[\/latex] at [latex]a[\/latex] is given by the equation<\/p>\n<div id=\"fs-id1165042965164\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=f(a)+f^{\\prime}(a)(x-a)[\/latex].<\/div>\n<div>\u00a0<\/div>\n<p>This is simply derived from the point-slope form of the equation of a line [latex]y-{y}_{1}=m\\left(x-{x}_{1}\\right)[\/latex] by adding\u00a0 [latex]{y}_{1}[\/latex] to both sides!<\/p>\n<\/section>\n<p>Consider the function [latex]f(x)=\\frac{1}{x}[\/latex] at [latex]a=2[\/latex]. Since [latex]f[\/latex] is differentiable at [latex]x=2[\/latex] and [latex]f^{\\prime}(x)=-\\frac{1}{x^2}[\/latex], we see that [latex]f^{\\prime}(2)=-\\frac{1}{4}[\/latex].<\/p>\n<p>Therefore, the tangent line to the graph of [latex]f[\/latex] at [latex]a=2[\/latex] is given by the equation<\/p>\n<div id=\"fs-id1165043259941\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\dfrac{1}{2}-\\dfrac{1}{4}(x-2)[\/latex]<\/div>\n<figure style=\"width: 851px\" 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\/11210745\/CNX_Calc_Figure_04_02_006.jpg\" alt=\"This figure has two parts a and b. In figure a, the line f(x) = 1\/x is shown with its tangent line at x = 2. In figure b, the area near the tangent point is blown up to show how good of an approximation the tangent is near x = 2.\" width=\"851\" height=\"462\" \/><figcaption class=\"wp-caption-text\">Figure 1. (a) The tangent line to [latex]f(x)=\\frac{1}{x}[\/latex] at [latex]x=2[\/latex] provides a good approximation to [latex]f[\/latex] for [latex]x[\/latex] near 2. (b) At [latex]x=2.1[\/latex], the value of [latex]y[\/latex] on the tangent line to [latex]f(x)=\\frac{1}{x}[\/latex] is 0.475. The actual value of [latex]f(2.1)[\/latex] is [latex]\\frac{1}{2.1}[\/latex], which is approximately 0.47619.<\/figcaption><\/figure>\n<p id=\"fs-id1165042514596\">Figure 1a shows a graph of [latex]f(x)=\\frac{1}{x}[\/latex] along with the tangent line to [latex]f[\/latex] at [latex]x=2[\/latex]. Note that for [latex]x[\/latex] near [latex]2[\/latex], the graph of the tangent line is close to the graph of [latex]f[\/latex]. As a result, we can use the equation of the tangent line to approximate [latex]f(x)[\/latex] for [latex]x[\/latex] near [latex]2[\/latex].<\/p>\n<p>If [latex]x=2.1[\/latex], the [latex]y[\/latex] value of the corresponding point on the tangent line is<\/p>\n<div id=\"fs-id1165043429657\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\dfrac{1}{2}-\\dfrac{1}{4}(2.1-2)=0.475[\/latex]<\/div>\n<p id=\"fs-id1165042613079\">The actual value of [latex]f(2.1)[\/latex] is given by<\/p>\n<div id=\"fs-id1165043306568\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]f(2.1)=\\dfrac{1}{2.1}\\approx 0.47619[\/latex]<\/div>\n<p id=\"fs-id1165043157784\">Therefore, the tangent line gives us a fairly good approximation of [latex]f(2.1)[\/latex] (Figure 1b).<\/p>\n<p>However, note that for values of [latex]x[\/latex] far from [latex]2[\/latex], the equation of the tangent line does not give us a good approximation. If [latex]x=10[\/latex], the [latex]y[\/latex]-value of the corresponding point on the tangent line is<\/p>\n<div id=\"fs-id1165042634904\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]y=\\frac{1}{2}-\\dfrac{1}{4}(10-2)=\\dfrac{1}{2}-2=-1.5[\/latex],<\/div>\n<p id=\"fs-id1165043187581\">whereas the value of the function at [latex]x=10[\/latex] is [latex]f(10)=0.1[\/latex].<\/p>\n<p id=\"fs-id1165043067518\">In general, for a differentiable function [latex]f[\/latex], the equation of the tangent line to [latex]f[\/latex] at [latex]x=a[\/latex] can be used to approximate [latex]f(x)[\/latex] for [latex]x[\/latex] near [latex]a[\/latex]. Therefore, we can write<\/p>\n<div id=\"fs-id1165042333160\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]f(x)\\approx f(a)+f^{\\prime}(a)(x-a)[\/latex] for [latex]x[\/latex] near [latex]a[\/latex]<\/div>\n<p>We call the linear function<\/p>\n<div id=\"fs-id1165043306789\" class=\"equation\" style=\"text-align: center;\">[latex]L(x)=f(a)+f^{\\prime}(a)(x-a)[\/latex]<\/div>\n<p id=\"fs-id1165043001981\">the <strong>linear approximation<\/strong>, or <strong>tangent line approximation<\/strong>, of [latex]f[\/latex] at [latex]x=a[\/latex]. This function [latex]L[\/latex] is also known as the linearization of [latex]f[\/latex] at [latex]x=a[\/latex].<\/p>\n<section class=\"textbox keyTakeaway\">\n<h3>linear approximation<\/h3>\n<p>Linear approximation, or tangent line approximation, is a mathematical method that uses the tangent at a specific point to estimate the values of a function near that point.<\/p>\n<\/section>\n<section class=\"textbox example\">\n<p id=\"fs-id1165043257102\">Find the linear approximation of [latex]f(x)=\\sqrt{x}[\/latex] at [latex]x=9[\/latex] and use the approximation to estimate [latex]\\sqrt{9.1}[\/latex].<\/p>\n<p><div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"qfs-id1165043351836\">Show Solution<\/button><\/p>\n<div id=\"qfs-id1165043351836\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1165043351836\">Since we are looking for the linear approximation at [latex]x=9[\/latex], using the tangent line approximation, we know the linear approximation is given by<\/p>\n<div id=\"fs-id1165042880023\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(9)+f^{\\prime}(9)(x-9)[\/latex].<\/div>\n<p id=\"fs-id1165043429300\">We need to find [latex]f(9)[\/latex] and [latex]f^{\\prime}(9)[\/latex].<\/p>\n<div id=\"fs-id1165043001328\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll} f(x)=\\sqrt{x}& \\Rightarrow & f(9)=\\sqrt{9}=3 \\\\ f^{\\prime}(x)=\\frac{1}{2\\sqrt{x}}& \\Rightarrow & f^{\\prime}(9)=\\frac{1}{2\\sqrt{9}}=\\frac{1}{6} \\end{array}[\/latex]<\/div>\n<p id=\"fs-id1165043106851\">Therefore, the linear approximation is given by Figure 2.<\/p>\n<div id=\"fs-id1165042370716\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=3+\\frac{1}{6}(x-9)[\/latex]<\/div>\n<p id=\"fs-id1165042332089\">Using the linear approximation, we can estimate [latex]\\sqrt{9.1}[\/latex] by writing<\/p>\n<div id=\"fs-id1165042922906\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\sqrt{9.1}=f(9.1)\\approx L(9.1)=3+\\frac{1}{6}(9.1-9)\\approx 3.0167[\/latex].<\/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\/11210748\/CNX_Calc_Figure_04_02_002.jpg\" alt=\"The function f(x) = the square root of x is shown with its tangent at (9, 3). The tangent appears to be a very good approximation from x = 6 to x = 12.\" width=\"487\" height=\"198\" \/><figcaption class=\"wp-caption-text\">Figure 2. The local linear approximation to [latex]f(x)=\\sqrt{x}[\/latex] at [latex]x=9[\/latex] provides an approximation to [latex]f[\/latex] for [latex]x[\/latex] near 9.<\/figcaption><\/figure>\n<p><strong>Analysis<\/strong><\/p>\n<p id=\"fs-id1165042711813\">Using a calculator, the value of [latex]\\sqrt{9.1}[\/latex] to four decimal places is 3.0166. The value given by the linear approximation, 3.0167, is very close to the value obtained with a calculator, so it appears that using this linear approximation is a good way to estimate [latex]\\sqrt{x}[\/latex], at least for [latex]x[\/latex] near 9. At the same time, it may seem odd to use a linear approximation when we can just push a few buttons on a calculator to evaluate [latex]\\sqrt{9.1}[\/latex]. However, how does the calculator evaluate [latex]\\sqrt{9.1}[\/latex]? The calculator uses an approximation! In fact, calculators and computers use approximations all the time to evaluate mathematical expressions; they just use higher-degree approximations.<\/p>\n<p>Watch the following video to see the worked solution to this example.<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/R5C9K3oedGQ?controls=0&amp;start=128&amp;end=304&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\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\/4.2LinearApproximationsAndDifferentials128to304_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of &#8220;4.2 Linear Approximations and Differentials&#8221; here (opens in new window)<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"textbox example\">\n<p>Find the linear approximation of [latex]f(x)= \\sin x[\/latex] at [latex]x=\\dfrac{\\pi}{3}[\/latex] and use it to approximate [latex]\\sin (62^{\\circ})[\/latex].<\/p>\n<p><div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"qfs-id1165043111804\">Show Solution<\/button><\/p>\n<div id=\"qfs-id1165043111804\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1165043111804\">First we note that since [latex]\\frac{\\pi}{3}[\/latex] rad is equivalent to [latex]60^{\\circ}[\/latex], using the linear approximation at [latex]x=\\pi \/3[\/latex] seems reasonable. The linear approximation is given by<\/p>\n<div id=\"fs-id1165043090235\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(\\frac{\\pi}{3})+f^{\\prime}(\\frac{\\pi}{3})(x-\\frac{\\pi}{3})[\/latex].<\/div>\n<p id=\"fs-id1165042551936\">We see that<\/p>\n<div id=\"fs-id1165043285221\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll}f(x)= \\sin x & \\Rightarrow & f(\\frac{\\pi}{3})= \\sin (\\frac{\\pi}{3})=\\frac{\\sqrt{3}}{2} \\\\ f^{\\prime}(x)= \\cos x & \\Rightarrow & f^{\\prime}(\\frac{\\pi}{3})= \\cos (\\frac{\\pi}{3})=\\frac{1}{2} \\end{array}[\/latex]<\/div>\n<p id=\"fs-id1165043073754\">Therefore, the linear approximation of [latex]f[\/latex] at [latex]x=\\pi \/3[\/latex] is given by Figure 3.<\/p>\n<div id=\"fs-id1165042332414\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(x-\\frac{\\pi}{3})[\/latex]<\/div>\n<p id=\"fs-id1165043078487\">To estimate [latex]\\sin (62^{\\circ})[\/latex] using [latex]L[\/latex], we must first convert [latex]62^{\\circ}[\/latex] to radians. We have [latex]62^{\\circ}=\\frac{62\\pi}{180}[\/latex] radians, so the estimate for [latex]\\sin (62^{\\circ})[\/latex] is given by<\/p>\n<div id=\"fs-id1165043013778\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\sin (62^{\\circ})=f(\\frac{62\\pi}{180})\\approx L(\\frac{62\\pi }{180})=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(\\frac{62\\pi }{180}-\\frac{\\pi }{3})=\\frac{\\sqrt{3}}{2}+\\frac{1}{2}(\\frac{2\\pi }{180})=\\frac{\\sqrt{3}}{2}+\\frac{\\pi }{180}\\approx 0.88348[\/latex].<\/div>\n<figure style=\"width: 731px\" 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\/11210750\/CNX_Calc_Figure_04_02_003.jpg\" alt=\"The function f(x) = sin x is shown with its tangent at (\u03c0\/3, square root of 3 \/ 2). The tangent appears to be a very good approximation for x near \u03c0 \/ 3.\" width=\"731\" height=\"275\" \/><figcaption class=\"wp-caption-text\">Figure 3. The linear approximation to [latex]f(x)= \\sin x[\/latex] at [latex]x=\\frac{\\pi}{3}[\/latex] provides an approximation to [latex] \\sin x[\/latex] for [latex]x[\/latex] near [latex]\\frac{\\pi}{3}.[\/latex]<\/figcaption><\/figure>\n<p>Watch the following video to see the worked solution to this example.<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/R5C9K3oedGQ?controls=0&amp;start=305&amp;end=437&amp;autoplay=0\" width=\"750\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\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\/4.2LinearApproximationsAndDifferentials305to437_transcript.txt\" target=\"_blank\" rel=\"noopener\">transcript for this segmented clip of &#8220;4.2 Linear Approximations and Differentials&#8221; here (opens in new window)<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<p>Linear approximations may be used in estimating roots and powers. In the next example, we find the linear approximation for [latex]f(x)=(1+x)^n[\/latex] at [latex]x=0[\/latex], which can be used to estimate roots and powers for real numbers near [latex]1[\/latex]. The same idea can be extended to a function of the form [latex]f(x)=(m+x)^n[\/latex] to estimate roots and powers near a different number [latex]m[\/latex].<\/p>\n<section class=\"textbox example\">\n<p id=\"fs-id1165042604945\">Find the linear approximation of [latex]f(x)=(1+x)^n[\/latex] at [latex]x=0[\/latex]. Use this approximation to estimate [latex](1.01)^3[\/latex].<\/p>\n<p><div class=\"qa-wrapper\" style=\"display: block\"><button class=\"show-answer show-answer-button collapsed\" data-target=\"qfs-id1165043396408\">Show Solution<\/button><\/p>\n<div id=\"qfs-id1165043396408\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1165043396408\">The linear approximation at [latex]x=0[\/latex] is given by<\/p>\n<div id=\"fs-id1165042710456\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=f(0)+f^{\\prime}(0)(x-0)[\/latex].<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1165042553978\">Because<\/p>\n<div id=\"fs-id1165042369140\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]\\begin{array}{lll} f(x)=(1+x)^n & \\Rightarrow & f(0)=1 \\\\ f^{\\prime}(x)=n(1+x)^{n-1} & \\Rightarrow & f^{\\prime}(0)=n, \\end{array}[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1165043062849\">the linear approximation is given by Figure 4a.<\/p>\n<div id=\"fs-id1165042925702\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex]L(x)=1+n(x-0)=1+nx[\/latex]<\/div>\n<p>&nbsp;<\/p>\n<p id=\"fs-id1165043374164\">We can approximate [latex](1.01)^3[\/latex] by evaluating [latex]L(0.01)[\/latex] when [latex]n=3[\/latex]. We conclude that<\/p>\n<div id=\"fs-id1165042966729\" class=\"equation unnumbered\" style=\"text-align: center;\">[latex](1.01)^3=f(1.01)\\approx L(1.01)=1+3(0.01)=1.03[\/latex].<\/div>\n<figure style=\"width: 814px\" 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\/11210754\/CNX_Calc_Figure_04_02_007.jpg\" alt=\"This figure has two parts a and b. In figure a, the line f(x) = (1 + x)3 is shown with its tangent line at (0, 1). In figure b, the area near the tangent point is blown up to show how good of an approximation the tangent is near (0, 1).\" width=\"814\" height=\"387\" \/><figcaption class=\"wp-caption-text\">Figure 4. (a) The linear approximation of [latex]f(x)[\/latex] at [latex]x=0[\/latex] is [latex]L(x)[\/latex]. (b) The actual value of [latex]1.01^3[\/latex] is 1.030301. The linear approximation of [latex]f(x)[\/latex] at [latex]x=0[\/latex] estimates [latex]1.01^3[\/latex] to be 1.03.<\/figcaption><\/figure>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"textbox tryIt\">\n<iframe loading=\"lazy\" id=\"ohm288391\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=288391&theme=lumen&iframe_resize_id=ohm288391&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><br \/>\n<\/section>\n<section class=\"textbox tryIt\">\n<iframe loading=\"lazy\" id=\"ohm5186\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=5186&theme=lumen&iframe_resize_id=ohm5186&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><br \/>\n<\/section>\n","protected":false},"author":6,"menu_order":10,"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\":\"4.2 Linear Approximations and Differentials\",\"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":652,"module-header":"learn_it","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":"4.2 Linear Approximations and Differentials","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\/calculus1\/wp-json\/pressbooks\/v2\/chapters\/298"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":14,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/chapters\/298\/revisions"}],"predecessor-version":[{"id":4522,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/chapters\/298\/revisions\/4522"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/parts\/652"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/chapters\/298\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/wp\/v2\/media?parent=298"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/pressbooks\/v2\/chapter-type?post=298"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/wp\/v2\/contributor?post=298"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/calculus1\/wp-json\/wp\/v2\/license?post=298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}