{"id":5510,"date":"2022-06-02T19:00:41","date_gmt":"2022-06-02T19:00:41","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/calculus3\/?post_type=chapter&#038;p=5510"},"modified":"2022-11-01T05:34:33","modified_gmt":"2022-11-01T05:34:33","slug":"applying-stokes-theorem","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/calculus3\/chapter\/applying-stokes-theorem\/","title":{"raw":"Applying Stokes\u2019 Theorem","rendered":"Applying Stokes\u2019 Theorem"},"content":{"raw":"<div data-type=\"note\">\r\n<div class=\"textbox learning-objectives\">\r\n<h3>Learning Objectives<\/h3>\r\n<div id=\"1\" class=\"ui-has-child-title\" data-type=\"abstract\"><section>\r\n<ul class=\"os-abstract\">\r\n \t<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to evaluate a line integral.<\/span><\/li>\r\n \t<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to calculate a surface integral.<\/span><\/li>\r\n \t<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to calculate a curl.<\/span><\/li>\r\n<\/ul>\r\n<\/section><\/div>\r\n<\/div>\r\n<h2 data-type=\"title\">Applying Stokes\u2019 Theorem<\/h2>\r\n<p id=\"fs-id1167793244009\">Stokes\u2019 theorem translates between the flux integral of surface [latex]S[\/latex] to a line integral around the boundary of [latex]S[\/latex]. Therefore, the theorem allows us to compute surface integrals or line integrals that would ordinarily be quite difficult by translating the line integral into a surface integral or vice versa. We now study some examples of each kind of translation.<\/p>\r\n\r\n<\/div>\r\n<div data-type=\"note\">\r\n<div class=\"textbox exercises\">\r\n<h3>Example: calculating a surface integral<\/h3>\r\nCalculate surface integral [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]S[\/latex] is the surface, oriented outward, in\u00a0Figure 1\u00a0and [latex]{\\bf{F}}=\\langle{z},2xy,x+y\\rangle[\/latex].\r\n\r\n[caption id=\"attachment_5419\" align=\"aligncenter\" width=\"616\"]<img class=\"size-full wp-image-5419\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165750\/6.84.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/b5898a433bf09022d4b1b020317329d10d307275&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A diagram of a complicated surface S in a three dimensional vector field. The surface is a cylindrical tube that twists about in the three-dimensional space arbitrarily. The upper end of the tube is an open circle leading to inside the tube. It is centered on the z-axis at a height of z=1 and has a radius of 1. The bottom end of the tube is closed with a hemispherical cap on the end. The vector arrows are best described by their components. The x component is positive everywhere and becomes larger as z increases. The y component is positive in the first and third octants and negative in the other two. The z component is zero when y=x and becomes more positive with more positive x and y values and more negative in the other direction.&quot; id=&quot;11&quot;&gt;\" width=\"616\" height=\"731\" \/> Figure 1. A complicated surface in a vector field.[\/caption]\r\n\r\n[reveal-answer q=\"485624851\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"485624851\"]\r\n<p id=\"fs-id1167794334748\">Note that to calculate [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] without using Stokes\u2019 theorem, we would need to use the equation to calculate scalar surface integrals. Use of this equation requires a parameterization of [latex]S[\/latex]. Surface [latex]S[\/latex] is complicated enough that it would be extremely difficult to find a parameterization. Therefore, the methods we have learned in previous sections are not useful for this problem. Instead, we use Stokes\u2019 theorem, noting that the boundary [latex]C[\/latex] of the surface is merely a single circle with radius 1.<\/p>\r\n<p id=\"fs-id1167794226833\">The curl of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is [latex]\\langle1,1,2y\\rangle[\/latex]. By Stokes\u2019 theorem,<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}}[\/latex],<\/p>\r\n<p id=\"fs-id1167794073157\">where [latex]C[\/latex] has parameterization [latex]{\\bf{r}}(t)=\\langle\\sin{t},0,1-\\cos{t}\\rangle[\/latex], [latex]0\\leq{t}\\leq2\\pi[\/latex]. By the equation to for computing vector line integrals,<\/p>\r\n<p style=\"text-align: center;\">[latex]\\begin{aligned}\r\n\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}&amp;=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}} \\\\\r\n&amp;=\\displaystyle\\int_0^{2\\pi}\\langle1-\\cos{t},0,-\\sin{t}\\rangle\\cdot\\langle-\\cos{t},0\\sin{t}\\rangle{d}t \\\\\r\n&amp;=\\displaystyle\\int_0^{2\\pi}(-\\cos{t}+\\cos^2t-\\sin^2t)dt \\\\\r\n&amp;=\\left[-\\sin{t}+\\frac12\\sin(2t)\\right]_0^{2\\pi} \\\\\r\n&amp;=\\left(-\\sin{(2\\pi)}+\\frac12\\sin{(4\\pi)}\\right)-\\left(-\\sin0+\\frac12\\sin0\\right) \\\\\r\n&amp;=0\r\n\\end{aligned}[\/latex].<\/p>\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n<p id=\"fs-id1167794058637\">An amazing consequence of Stokes\u2019 theorem is that if [latex]S'[\/latex] is any other smooth surface with boundary [latex]C[\/latex] and the same orientation as [latex]S[\/latex], then [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=0[\/latex] because Stokes\u2019 theorem says the surface integral depends on the line integral around the boundary only.<\/p>\r\n<p id=\"fs-id1167794027687\">In\u00a0Example \"Calculating a Surface Integral\", we calculated a surface integral simply by using information about the boundary of the surface. In general, let [latex]S_1[\/latex] and [latex]S_2[\/latex] be smooth surfaces with the same boundary [latex]C[\/latex] and the same orientation. By Stokes\u2019 theorem,<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167794050305\">Therefore, if [latex]\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] is difficult to calculate but [latex]\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] is easy to calculate, Stokes\u2019 theorem allows us to calculate the easier surface integral. In\u00a0Example \"Calculating a Surface Integral\", we could have calculated [latex]\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] by calculating [latex]\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]S'[\/latex] is the disk enclosed by boundary curve [latex]C[\/latex] (a much more simple surface with which to work).<\/p>\r\n<p id=\"fs-id1167793455562\">[latex]{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex] shows that flux integrals of curl vector fields are\u00a0<span id=\"7b59b26d-8ae5-465f-8851-746da2323b56_term284\" data-type=\"term\">surface independent<\/span>\u00a0in the same way that line integrals of gradient fields are path independent. Recall that if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is a two-dimensional conservative vector field defined on a simply connected domain, [latex]f[\/latex] is a potential function for\u00a0[latex]{\\bf{F}}[\/latex], and [latex]C[\/latex] is a curve in the domain of\u00a0[latex]{\\bf{F}}[\/latex], then [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex] depends only on the endpoints of [latex]C[\/latex]. Therefore if [latex]C'[\/latex] is any other curve with the same starting point and endpoint as [latex]C[\/latex] (that is, [latex]C'[\/latex] has the same orientation as [latex]C[\/latex]), then [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\int_{C^\\prime}{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex]. In other words, the value of the integral depends on the boundary of the path only; it does not really depend on the path itself.<\/p>\r\n<p id=\"fs-id1167793872359\">Analogously, suppose that [latex]S[\/latex] and [latex]S'[\/latex] are surfaces with the same boundary and same orientation, and suppose that\u00a0[latex]{\\bf{G}}[\/latex]\u00a0is a three-dimensional vector field that can be written as the curl of another vector field\u00a0[latex]{\\bf{F}}[\/latex]\u00a0(so that\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is like a \u201cpotential field\u201d of\u00a0[latex]{\\bf{G}}[\/latex]). By\u00a0[latex]{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex],<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_S{\\bf{G}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{G}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167793516206\">Therefore, the flux integral of\u00a0[latex]{\\bf{G}}[\/latex]\u00a0does not depend on the surface, only on the boundary of the surface. Flux integrals of vector fields that can be written as the curl of a vector field are surface independent in the same way that line integrals of vector fields that can be written as the gradient of a scalar function are path independent.<\/p>\r\n\r\n<div id=\"fs-id1167793959789\" class=\"checkpoint ui-has-child-title\" data-type=\"note\">\r\n<div class=\"textbox key-takeaways\">\r\n<h3>try it<\/h3>\r\nUse Stokes\u2019 theorem to calculate surface integral [latex]\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]{\\bf{F}}=\\langle{z},x,y\\rangle[\/latex] and [latex]S[\/latex] is the surface as shown in the following figure. The boundary curve, [latex]C[\/latex], is oriented clockwise when looking along the positive [latex]y[\/latex]-axis.\r\n\r\n<img class=\"aligncenter size-full wp-image-5420\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165844\/6.85.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/34560128e2a921465881e68ee5bed476fcde5ca3&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A three-dimensional diagram of a surface. One end is an open circle with radius 1 and centered at the origin. It is on the (x, z) plane. The rest of the surface stretches back symmetrically over the y axis. The surface narrows slightly, opens up into a sphere, narrows again, and then ends in another sphere. It looks like a vase lying on its side with an open circular end, a large, spherical body, and a medium sized spherical base.&quot; id=&quot;12&quot;&gt;\" width=\"610\" height=\"249\" \/>\r\n\r\n[reveal-answer q=\"653124473\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"653124473\"]\r\n\r\n[latex]-\\pi[\/latex].\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n<div class=\"textbox exercises\">\r\n<h3>Example: calculating a line integral<\/h3>\r\nCalculate the line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex], where [latex]{\\bf{F}}=\\langle{x}y,x^2+y^2+z^2,yz\\rangle[\/latex] and [latex]C[\/latex] is the boundary of the parallelogram with vertices [latex](0, 0, 1)[\/latex], [latex](0, 1, 0)[\/latex], [latex](2, 0, -1)[\/latex], and\u00a0[latex](2, 1, -2)[\/latex].\r\n\r\n[reveal-answer q=\"853672198\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"853672198\"]\r\n<p id=\"fs-id1167794117883\">To calculate the line integral directly, we need to parameterize each side of the parallelogram separately, calculate four separate line integrals, and add the result. This is not overly complicated, but it is time-consuming.<\/p>\r\n<p id=\"fs-id1167793568444\">By contrast, let\u2019s calculate the line integral using Stokes\u2019 theorem. Let [latex]S[\/latex] denote the surface of the parallelogram. Note that [latex]S[\/latex] is the portion of the graph of [latex]z=1-x-y[\/latex] for [latex](x, y)[\/latex] varying over the rectangular region with vertices [latex](0, 0)[\/latex], [latex](0, 1)[\/latex], [latex](2, 0)[\/latex], and [latex](2, 1)[\/latex] in the [latex]xy[\/latex]-plane. Therefore, a parameterization of [latex]S[\/latex] is [latex]\\langle{x},y,1-x-y\\rangle[\/latex], [latex]0\\leq{x}\\leq2, \\ 0\\leq{y}\\leq1[\/latex]. The curl of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is [latex]-\\langle{z},0,x\\rangle[\/latex], and Stokes\u2019 theorem and the equation to calculate scalar surface integrals\u00a0give<\/p>\r\n<p style=\"text-align: center;\">[latex]\\begin{aligned}\r\n\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}&amp;=\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}} \\\\\r\n&amp;=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\text{curl }{\\bf{F}}(x,y)\\cdot({\\bf{t}}_x\\times{\\bf{t}}_y)dydx \\\\\r\n&amp;=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\langle-(1-x-y),0,x\\rangle\\cdot(\\langle1,0,-1\\rangle\\times\\langle0,1,-1\\rangle)dydx \\\\\r\n&amp;=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\langle{x}+y-1,0,x\\rangle\\cdot\\langle1,1,1\\rangle{d}ydx \\\\\r\n&amp;=\\displaystyle\\int_0^2\\displaystyle\\int_0^12x+y-1dydx \\\\\r\n&amp;=3\r\n\\end{aligned}[\/latex].<\/p>\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>try it<\/h3>\r\nUse Stokes\u2019 theorem to calculate line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex], where [latex]{\\bf{F}}=\\langle{z},x,y\\rangle[\/latex] and [latex]C[\/latex] is oriented clockwise and is the boundary of a triangle with vertices [latex](0, 0, 1)[\/latex],\u00a0[latex](3, 0, -2)[\/latex], and\u00a0[latex](0, 1, 2)[\/latex].\r\n\r\n[reveal-answer q=\"736428721\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"736428721\"]\r\n\r\n[latex]\\frac32[\/latex].\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n\r\n[caption]Watch the following video to see the worked solution to the above Try It[\/caption]\r\n\r\n<center><iframe src=\"\/\/plugin.3playmedia.com\/show?mf=8250332&amp;p3sdk_version=1.10.1&amp;p=20361&amp;pt=375&amp;video_id=3ncBh5i-PPo&amp;video_target=tpm-plugin-tvfo8j8g-3ncBh5i-PPo\" width=\"800px\" height=\"450px\" frameborder=\"0\" marginwidth=\"0px\" marginheight=\"0px\"><\/iframe><\/center><center>You can view the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Calculus+3\/Calc+3+transcripts\/CP6.63_transcript.html\">transcript for \u201cCP 6.63\u201d here (opens in new window).<\/a><\/center>\r\n<h2 data-type=\"title\">Interpretation of Curl<\/h2>\r\n<p id=\"fs-id1167793876862\">In addition to translating between line integrals and flux integrals, Stokes\u2019 theorem can be used to justify the physical interpretation of curl that we have learned. Here we investigate the relationship between curl and circulation, and we use Stokes\u2019 theorem to state Faraday\u2019s law\u2014an important law in electricity and magnetism that relates the curl of an electric field to the rate of change of a magnetic field.<\/p>\r\n<p id=\"fs-id1167793876865\">Recall that if [latex]C[\/latex] is a closed curve and\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is a vector field defined on [latex]C[\/latex], then the circulation of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0around [latex]C[\/latex] is line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex]. If\u00a0[latex]{\\bf{F}}[\/latex]\u00a0represents the velocity field of a fluid in space, then the circulation measures the tendency of the fluid to move in the direction of [latex]C[\/latex].<\/p>\r\n<p id=\"fs-id1167794213147\">Let\u00a0[latex]{\\bf{F}}[\/latex]\u00a0be a continuous vector field and let [latex]D_r[\/latex] be a small disk of radius [latex]r[\/latex] with center [latex]P_0[\/latex] (Figure 2). If [latex]D_r[\/latex] is small enough, then [latex](\\text{curl }{\\bf{F}})(P)\\approx(\\text{curl }{\\bf{F}})(P_0)[\/latex] for all points [latex]P[\/latex] in [latex]D_r[\/latex] because the curl is continuous. Let [latex]C_r[\/latex] be the boundary circle of [latex]D_r[\/latex]. By Stokes\u2019 theorem,<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{D_r}\\text{curl }{\\bf{F}}\\cdot{\\bf{N}}{d}S\\approx\\displaystyle\\iint_{D_r}(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)dS}[\/latex].<\/p>\r\n\r\n[caption id=\"attachment_5421\" align=\"aligncenter\" width=\"451\"]<img class=\"size-full wp-image-5421\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165934\/6.85a.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/ecb4a2d0729e72f1ca190e658c4ce8453df4f4ea&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A Disk D_r is a small disk in a continuous vector field in three dimensions. The radius of the disk is labeled r, and the center is labeled P_0. The arrows appear to have negative x components, slightly positive y components, and positive z components that become larger as z becomes larger.&quot; id=&quot;16&quot;&gt;\" width=\"451\" height=\"468\" \/> Figure 2. Disk [latex]{D_r}[\/latex] is a small disk in a continuous vector field.[\/caption]<\/div>\r\n<\/div>\r\n<div data-type=\"note\">\r\n<p id=\"fs-id1167793705650\">The quantity [latex](\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)[\/latex] is constant, and therefore<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{D_r}(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)dS=\\pi{r}^2[(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)]}[\/latex].<\/p>\r\n<p id=\"fs-id1167793952601\">Thus<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}\\approx\\pi{r}^2[(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)]}[\/latex],<\/p>\r\n<p id=\"fs-id1167793926562\">and the approximation gets arbitrarily close as the radius shrinks to zero. Therefore Stokes\u2019 theorem implies that<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)=\\displaystyle\\lim_{r\\to0^+}\\frac{1}{\\pi{r^2}}\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167793959013\">This equation relates the curl of a vector field to the circulation. Since the area of the disk is [latex]\\pi{r}^2[\/latex], this equation says we can view the curl (in the limit) as the circulation per unit area. Recall that if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is the velocity field of a fluid, then circulation [latex]\\displaystyle\\oint_{c_r}{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\oint_{C_r}{\\bf{F}}\\cdot{\\bf{T}}ds[\/latex] is a measure of the tendency of the fluid to move around [latex]C_r[\/latex]. The reason for this is that [latex]{\\bf{F}}\\cdot{\\bf{T}}[\/latex] is a component of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0in the direction of\u00a0[latex]{\\bf{T}}[\/latex], and the closer the direction of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is to\u00a0[latex]{\\bf{T}}[\/latex], the larger the value of [latex]{\\bf{F}}\\cdot{\\bf{T}}[\/latex] (remember that if\u00a0[latex]{\\bf{a}}[\/latex]\u00a0and\u00a0[latex]{\\bf{b}}[\/latex]\u00a0are vectors and\u00a0[latex]{\\bf{b}}[\/latex]\u00a0is fixed, then the dot product [latex]{\\bf{a}}\\cdot{\\bf{b}}[\/latex] is maximal when\u00a0[latex]{\\bf{a}}[\/latex]\u00a0points in the same direction as\u00a0[latex]{\\bf{b}}[\/latex]). Therefore, if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is the velocity field of a fluid, then [latex]\\text{curl }{\\bf{F}}\\cdot{\\bf{N}}[\/latex] is a measure of how the fluid rotates about axis\u00a0[latex]{\\bf{N}}[\/latex]. The effect of the curl is largest about the axis that points in the direction of\u00a0[latex]{\\bf{N}}[\/latex], because in this case [latex]{\\bf{F}}\\cdot{\\bf{N}}[\/latex] is as large as possible.<\/p>\r\n<p id=\"fs-id1167794135665\">To see this effect in a more concrete fashion, imagine placing a tiny paddlewheel at point [latex]P_0[\/latex] (Figure 3). The paddlewheel achieves its maximum speed when the axis of the wheel points in the direction of [latex]\\text{curl }{\\bf{F}}[\/latex]. This justifies the interpretation of the curl we have learned: curl is a measure of the rotation in the vector field about the axis that points in the direction of the normal vector\u00a0[latex]{\\bf{N}}[\/latex], and Stokes\u2019 theorem justifies this interpretation.<\/p>\r\n\r\n<div id=\"CNX_Calc_Figure_16_07_010\" class=\"os-figure\">\r\n\r\n[caption id=\"attachment_5422\" align=\"aligncenter\" width=\"487\"]<img class=\"size-full wp-image-5422\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02170038\/6.86.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/afbebadfcb394f60f32527737154bc700186d92c&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A diagram of a tiny paddlewheel in water. A segment is stretching up out of its center, and that has an arrow labeled curl v. Red arrows are drawn to show the rotation of the wheel in a counterclockwise direction.&quot; id=&quot;17&quot;&gt;\" width=\"487\" height=\"399\" \/> Figure 3. To visualize curl at a point, imagine placing a tiny paddlewheel at that point in the vector field.[\/caption]\r\n\r\n<\/div>\r\n<div><\/div>\r\n<\/div>\r\n<div data-type=\"note\">\r\n<p id=\"fs-id1167794046342\">Now that we have learned about Stokes\u2019 theorem, we can discuss applications in the area of electromagnetism. In particular, we examine how we can use Stokes\u2019 theorem to translate between two equivalent forms of\u00a0<span id=\"7b59b26d-8ae5-465f-8851-746da2323b56_term285\" class=\"no-emphasis\" data-type=\"term\">Faraday\u2019s law<\/span>. Before stating the two forms of Faraday\u2019s law, we need some background terminology.<\/p>\r\n<p id=\"fs-id1167793949357\">Let [latex]C[\/latex] be a closed curve that models a thin wire. In the context of electric fields, the wire may be moving over time, so we write [latex]C(t)[\/latex] to represent the wire. At a given time [latex]t[\/latex], curve [latex]C(t)[\/latex] may be different from original curve [latex]C[\/latex] because of the movement of the wire, but we assume that [latex]C(t)[\/latex] is a closed curve for all times [latex]t[\/latex]. Let [latex]D(t)[\/latex] be a surface with [latex]C(t)[\/latex] as its boundary, and orient [latex]C(t)[\/latex] so that [latex]D(t)[\/latex] has positive orientation. Suppose that [latex]C(t)[\/latex] is in a magnetic field [latex]{\\bf{B}}(t)[\/latex] that can also change over time. In other words,\u00a0[latex]{\\bf{b}}[\/latex]\u00a0has the form<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{{\\bf{B}}(x,y,z)=\\langle{P}(x,y,z),Q(x,y,z),R(x,y,z)\\rangle}[\/latex],<\/p>\r\n<p id=\"fs-id1167794041119\">where [latex]P[\/latex], [latex]Q[\/latex], and [latex]R[\/latex] can all vary continuously over time. We can produce current along the wire by changing field [latex]{\\bf{B}}(t)[\/latex] (this is a consequence of Ampere\u2019s law). Flux [latex]\\phi(t)=\\displaystyle\\iint_{D(t)}{\\bf{B}}(t)\\cdot{d}{\\bf{S}}[\/latex] creates electric field [latex]{\\bf{E}}(t)[\/latex] that does work. The integral form of Faraday\u2019s law states that<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\text{Work }=\\displaystyle\\int_{C(t)}{\\bf{E}}(t)\\cdot{d}{\\bf{r}}=-\\frac{\\partial\\phi}{\\partial{t}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167793705376\">In other words, the work done by\u00a0[latex]{\\bf{E}}[\/latex]\u00a0is the line integral around the boundary, which is also equal to the rate of change of the flux with respect to time. The differential form of Faraday\u2019s law states that<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167793979625\">Using Stokes\u2019 theorem, we can show that the differential form of Faraday\u2019s law is a consequence of the integral form. By Stokes\u2019 theorem, we can convert the line integral in the integral form into surface integral<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{-\\frac{\\partial\\phi}{\\partial{t}}=\\displaystyle\\int_{C(t)}{\\bf{E}}(t)\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167794011756\">Since [latex]\\phi(t)=\\displaystyle\\iint_{D(t)}{\\bf{B}}(t)\\cdot{d}{\\bf{S}}[\/latex], then as long as the integration of the surface does not vary with time we also have<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{-\\frac{\\partial\\phi}{\\partial{t}}=\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167793292207\">Therefore,<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167794223037\">To derive the differential form of Faraday\u2019s law, we would like to conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex]. In general, the equation<\/p>\r\n<p style=\"text-align: center;\">[latex]large{\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex]<\/p>\r\n<p id=\"fs-id1167794070481\">is not enough to conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex]. The integral symbols do not simply \u201ccancel out,\u201d leaving equality of the integrands. To see why the integral symbol does not just cancel out in general, consider the two single-variable integrals [latex]\\displaystyle\\int_0^1xdx[\/latex] and [latex]\\displaystyle\\int_0^1f(x)dx[\/latex], where<\/p>\r\n<p style=\"text-align: center;\">[latex]f(x)=\\begin{array}{cc}\r\n\\{ &amp;\r\n\\begin{array}{cc}\r\n1, &amp; 0\\leq{x}\\leq1\/2 \\\\\r\n0,&amp; 1\/2\\leq{x}\\leq1\r\n\\end{array}\r\n\\end{array}[\/latex].<\/p>\r\n<p id=\"fs-id1167793413064\">Both of these integrals equal [latex]\\frac12[\/latex],\u00a0 so[latex]\\displaystyle\\int_0^1xdx=\\displaystyle\\int_0^1f(x)dx[\/latex]. However, [latex]x\\ne{f}(x)[\/latex]. Analogously, with our equation [latex]\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}[\/latex], we cannot simply conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex] just because their integrals are equal. However, in our context, equation [latex]\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}[\/latex] is true for\u00a0<em data-effect=\"italics\">any<\/em>\u00a0region, however small (this is in contrast to the single-variable integrals just discussed). If\u00a0[latex]{\\bf{F}}[\/latex]\u00a0and\u00a0[latex]{\\bf{G}}[\/latex]\u00a0are three-dimensional vector fields such that [latex]\\displaystyle\\iint_S{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_S{\\bf{G}}\\cdot{d}{\\bf{S}}[\/latex] for any surface [latex]S[\/latex], then it is possible to show that [latex]{\\bf{F}}={\\bf{G}}[\/latex] by shrinking the area of [latex]S[\/latex] to zero by taking a limit (the smaller the area of [latex]S[\/latex], the closer the value of [latex]\\displaystyle\\iint_S{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] to the value of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0at a point inside [latex]S[\/latex]). Therefore, we can let area [latex]D(t)[\/latex] shrink to zero by taking a limit and obtain the differential form of Faraday\u2019s law:<\/p>\r\n<p style=\"text-align: center;\">[latex]\\large{\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}}[\/latex].<\/p>\r\n<p id=\"fs-id1167794332114\">In the context of electric fields, the curl of the electric field can be interpreted as the negative of the rate of change of the corresponding magnetic field with respect to time.<\/p>\r\n\r\n<div id=\"fs-id1167794163639\" class=\"ui-has-child-title\" data-type=\"example\">\r\n<div class=\"textbox exercises\">\r\n<h3>Example: Using Faraday's law<\/h3>\r\nCalculate the curl of electric field\u00a0[latex]{\\bf{E}}[\/latex]\u00a0if the corresponding magnetic field is constant field [latex]{\\bf{B}}(t)=\\langle1,-4,2\\rangle[\/latex].\r\n\r\n[reveal-answer q=\"524283491\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"524283491\"]\r\n<div id=\"fs-id1167793271540\" class=\" ui-solution-visible\" data-type=\"solution\" aria-label=\"hide solution\" aria-expanded=\"true\"><section class=\"ui-body\" role=\"alert\">\r\n<h2 data-type=\"solution-title\"><span class=\"os-title-label\">Solution<\/span><\/h2>\r\n<div class=\"os-solution-container\">\r\n<p id=\"fs-id1167793271543\">Since the magnetic field does not change with respect to time, [latex]-\\frac{\\partial{\\bf{B}}}{\\partial{t}}=0[\/latex]. By Faraday\u2019s law, the curl of the electric field is therefore also zero.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-id1167793291680\" data-type=\"commentary\">\r\n<h2 id=\"19\" data-type=\"commentary-title\"><span class=\"os-title-label\">Analysis<\/span><\/h2>\r\n<p id=\"fs-id1167793245844\">A consequence of Faraday\u2019s law is that the curl of the electric field corresponding to a constant magnetic field is always zero.<\/p>\r\n\r\n<\/div>\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>try it<\/h3>\r\n<div id=\"fs-id1167793511934\" class=\"unnumbered os-hasSolution\" data-type=\"exercise\"><section>\r\n<div id=\"fs-id1167794180485\" data-type=\"problem\">\r\n<div class=\"os-problem-container\">\r\n<p id=\"fs-id1167794180488\">Calculate the curl of electric field\u00a0[latex]{\\bf{E}}[\/latex]\u00a0if the corresponding magnetic field is\u00a0[latex]{\\bf{B}}(t)=\\langle{t}x,ty,-2tz\\rangle[\/latex],\u00a0[latex]0\\leq{t}&lt;\\infty[\/latex].<\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/section><\/div>\r\n<p id=\"fs-id1167793277128\">Notice that the curl of the electric field does not change over time, although the magnetic field does change over time.<\/p>\r\n[reveal-answer q=\"637266519\"]Show Solution[\/reveal-answer]\r\n[hidden-answer a=\"637266519\"]\r\n\r\n[latex]\\text{curl }{\\bf{E}}=\\langle -x,-y,2z\\rangle[\/latex].\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n<\/div>\r\n\r\n[caption]Watch the following video to see the worked solution to the above Try It[\/caption]\r\n\r\n<center><iframe src=\"\/\/plugin.3playmedia.com\/show?mf=8250331&amp;p3sdk_version=1.10.1&amp;p=20361&amp;pt=375&amp;video_id=L-nOCRnqaqw&amp;video_target=tpm-plugin-v5xwm5zh-L-nOCRnqaqw\" width=\"800px\" height=\"450px\" frameborder=\"0\" marginwidth=\"0px\" marginheight=\"0px\"><\/iframe><\/center><center>You can view the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Calculus+3\/Calc+3+transcripts\/CP6.64_transcript.html\">transcript for \u201cCP 6.64\u201d here (opens in new window).<\/a><\/center><\/div>","rendered":"<div data-type=\"note\">\n<div class=\"textbox learning-objectives\">\n<h3>Learning Objectives<\/h3>\n<div id=\"1\" class=\"ui-has-child-title\" data-type=\"abstract\">\n<section>\n<ul class=\"os-abstract\">\n<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to evaluate a line integral.<\/span><\/li>\n<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to calculate a surface integral.<\/span><\/li>\n<li><span class=\"os-abstract-content\">Use Stokes\u2019 theorem to calculate a curl.<\/span><\/li>\n<\/ul>\n<\/section>\n<\/div>\n<\/div>\n<h2 data-type=\"title\">Applying Stokes\u2019 Theorem<\/h2>\n<p id=\"fs-id1167793244009\">Stokes\u2019 theorem translates between the flux integral of surface [latex]S[\/latex] to a line integral around the boundary of [latex]S[\/latex]. Therefore, the theorem allows us to compute surface integrals or line integrals that would ordinarily be quite difficult by translating the line integral into a surface integral or vice versa. We now study some examples of each kind of translation.<\/p>\n<\/div>\n<div data-type=\"note\">\n<div class=\"textbox exercises\">\n<h3>Example: calculating a surface integral<\/h3>\n<p>Calculate surface integral [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]S[\/latex] is the surface, oriented outward, in\u00a0Figure 1\u00a0and [latex]{\\bf{F}}=\\langle{z},2xy,x+y\\rangle[\/latex].<\/p>\n<div id=\"attachment_5419\" style=\"width: 626px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5419\" class=\"size-full wp-image-5419\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165750\/6.84.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/b5898a433bf09022d4b1b020317329d10d307275&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A diagram of a complicated surface S in a three dimensional vector field. The surface is a cylindrical tube that twists about in the three-dimensional space arbitrarily. The upper end of the tube is an open circle leading to inside the tube. It is centered on the z-axis at a height of z=1 and has a radius of 1. The bottom end of the tube is closed with a hemispherical cap on the end. The vector arrows are best described by their components. The x component is positive everywhere and becomes larger as z increases. The y component is positive in the first and third octants and negative in the other two. The z component is zero when y=x and becomes more positive with more positive x and y values and more negative in the other direction.&quot; id=&quot;11&quot;&gt;\" width=\"616\" height=\"731\" \/><\/p>\n<p id=\"caption-attachment-5419\" class=\"wp-caption-text\">Figure 1. A complicated surface in a vector field.<\/p>\n<\/div>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q485624851\">Show Solution<\/span><\/p>\n<div id=\"q485624851\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1167794334748\">Note that to calculate [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] without using Stokes\u2019 theorem, we would need to use the equation to calculate scalar surface integrals. Use of this equation requires a parameterization of [latex]S[\/latex]. Surface [latex]S[\/latex] is complicated enough that it would be extremely difficult to find a parameterization. Therefore, the methods we have learned in previous sections are not useful for this problem. Instead, we use Stokes\u2019 theorem, noting that the boundary [latex]C[\/latex] of the surface is merely a single circle with radius 1.<\/p>\n<p id=\"fs-id1167794226833\">The curl of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is [latex]\\langle1,1,2y\\rangle[\/latex]. By Stokes\u2019 theorem,<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}}[\/latex],<\/p>\n<p id=\"fs-id1167794073157\">where [latex]C[\/latex] has parameterization [latex]{\\bf{r}}(t)=\\langle\\sin{t},0,1-\\cos{t}\\rangle[\/latex], [latex]0\\leq{t}\\leq2\\pi[\/latex]. By the equation to for computing vector line integrals,<\/p>\n<p style=\"text-align: center;\">[latex]\\begin{aligned}  \\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}&=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}} \\\\  &=\\displaystyle\\int_0^{2\\pi}\\langle1-\\cos{t},0,-\\sin{t}\\rangle\\cdot\\langle-\\cos{t},0\\sin{t}\\rangle{d}t \\\\  &=\\displaystyle\\int_0^{2\\pi}(-\\cos{t}+\\cos^2t-\\sin^2t)dt \\\\  &=\\left[-\\sin{t}+\\frac12\\sin(2t)\\right]_0^{2\\pi} \\\\  &=\\left(-\\sin{(2\\pi)}+\\frac12\\sin{(4\\pi)}\\right)-\\left(-\\sin0+\\frac12\\sin0\\right) \\\\  &=0  \\end{aligned}[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p id=\"fs-id1167794058637\">An amazing consequence of Stokes\u2019 theorem is that if [latex]S'[\/latex] is any other smooth surface with boundary [latex]C[\/latex] and the same orientation as [latex]S[\/latex], then [latex]\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=0[\/latex] because Stokes\u2019 theorem says the surface integral depends on the line integral around the boundary only.<\/p>\n<p id=\"fs-id1167794027687\">In\u00a0Example &#8220;Calculating a Surface Integral&#8221;, we calculated a surface integral simply by using information about the boundary of the surface. In general, let [latex]S_1[\/latex] and [latex]S_2[\/latex] be smooth surfaces with the same boundary [latex]C[\/latex] and the same orientation. By Stokes\u2019 theorem,<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\n<p id=\"fs-id1167794050305\">Therefore, if [latex]\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] is difficult to calculate but [latex]\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] is easy to calculate, Stokes\u2019 theorem allows us to calculate the easier surface integral. In\u00a0Example &#8220;Calculating a Surface Integral&#8221;, we could have calculated [latex]\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] by calculating [latex]\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]S'[\/latex] is the disk enclosed by boundary curve [latex]C[\/latex] (a much more simple surface with which to work).<\/p>\n<p id=\"fs-id1167793455562\">[latex]{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex] shows that flux integrals of curl vector fields are\u00a0<span id=\"7b59b26d-8ae5-465f-8851-746da2323b56_term284\" data-type=\"term\">surface independent<\/span>\u00a0in the same way that line integrals of gradient fields are path independent. Recall that if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is a two-dimensional conservative vector field defined on a simply connected domain, [latex]f[\/latex] is a potential function for\u00a0[latex]{\\bf{F}}[\/latex], and [latex]C[\/latex] is a curve in the domain of\u00a0[latex]{\\bf{F}}[\/latex], then [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex] depends only on the endpoints of [latex]C[\/latex]. Therefore if [latex]C'[\/latex] is any other curve with the same starting point and endpoint as [latex]C[\/latex] (that is, [latex]C'[\/latex] has the same orientation as [latex]C[\/latex]), then [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\int_{C^\\prime}{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex]. In other words, the value of the integral depends on the boundary of the path only; it does not really depend on the path itself.<\/p>\n<p id=\"fs-id1167793872359\">Analogously, suppose that [latex]S[\/latex] and [latex]S'[\/latex] are surfaces with the same boundary and same orientation, and suppose that\u00a0[latex]{\\bf{G}}[\/latex]\u00a0is a three-dimensional vector field that can be written as the curl of another vector field\u00a0[latex]{\\bf{F}}[\/latex]\u00a0(so that\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is like a \u201cpotential field\u201d of\u00a0[latex]{\\bf{G}}[\/latex]). By\u00a0[latex]{\\displaystyle\\iint_{S_1}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S_2}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}}[\/latex],<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_S{\\bf{G}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{S^\\prime}\\text{curl }{\\bf{G}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\n<p id=\"fs-id1167793516206\">Therefore, the flux integral of\u00a0[latex]{\\bf{G}}[\/latex]\u00a0does not depend on the surface, only on the boundary of the surface. Flux integrals of vector fields that can be written as the curl of a vector field are surface independent in the same way that line integrals of vector fields that can be written as the gradient of a scalar function are path independent.<\/p>\n<div id=\"fs-id1167793959789\" class=\"checkpoint ui-has-child-title\" data-type=\"note\">\n<div class=\"textbox key-takeaways\">\n<h3>try it<\/h3>\n<p>Use Stokes\u2019 theorem to calculate surface integral [latex]\\displaystyle\\iint_{S}\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex], where [latex]{\\bf{F}}=\\langle{z},x,y\\rangle[\/latex] and [latex]S[\/latex] is the surface as shown in the following figure. The boundary curve, [latex]C[\/latex], is oriented clockwise when looking along the positive [latex]y[\/latex]-axis.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-5420\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165844\/6.85.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/34560128e2a921465881e68ee5bed476fcde5ca3&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A three-dimensional diagram of a surface. One end is an open circle with radius 1 and centered at the origin. It is on the (x, z) plane. The rest of the surface stretches back symmetrically over the y axis. The surface narrows slightly, opens up into a sphere, narrows again, and then ends in another sphere. It looks like a vase lying on its side with an open circular end, a large, spherical body, and a medium sized spherical base.&quot; id=&quot;12&quot;&gt;\" width=\"610\" height=\"249\" \/><\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q653124473\">Show Solution<\/span><\/p>\n<div id=\"q653124473\" class=\"hidden-answer\" style=\"display: none\">\n<p>[latex]-\\pi[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox exercises\">\n<h3>Example: calculating a line integral<\/h3>\n<p>Calculate the line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex], where [latex]{\\bf{F}}=\\langle{x}y,x^2+y^2+z^2,yz\\rangle[\/latex] and [latex]C[\/latex] is the boundary of the parallelogram with vertices [latex](0, 0, 1)[\/latex], [latex](0, 1, 0)[\/latex], [latex](2, 0, -1)[\/latex], and\u00a0[latex](2, 1, -2)[\/latex].<\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q853672198\">Show Solution<\/span><\/p>\n<div id=\"q853672198\" class=\"hidden-answer\" style=\"display: none\">\n<p id=\"fs-id1167794117883\">To calculate the line integral directly, we need to parameterize each side of the parallelogram separately, calculate four separate line integrals, and add the result. This is not overly complicated, but it is time-consuming.<\/p>\n<p id=\"fs-id1167793568444\">By contrast, let\u2019s calculate the line integral using Stokes\u2019 theorem. Let [latex]S[\/latex] denote the surface of the parallelogram. Note that [latex]S[\/latex] is the portion of the graph of [latex]z=1-x-y[\/latex] for [latex](x, y)[\/latex] varying over the rectangular region with vertices [latex](0, 0)[\/latex], [latex](0, 1)[\/latex], [latex](2, 0)[\/latex], and [latex](2, 1)[\/latex] in the [latex]xy[\/latex]-plane. Therefore, a parameterization of [latex]S[\/latex] is [latex]\\langle{x},y,1-x-y\\rangle[\/latex], [latex]0\\leq{x}\\leq2, \\ 0\\leq{y}\\leq1[\/latex]. The curl of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is [latex]-\\langle{z},0,x\\rangle[\/latex], and Stokes\u2019 theorem and the equation to calculate scalar surface integrals\u00a0give<\/p>\n<p style=\"text-align: center;\">[latex]\\begin{aligned}  \\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}&=\\displaystyle\\iint_S\\text{curl }{\\bf{F}}\\cdot{d}{\\bf{S}} \\\\  &=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\text{curl }{\\bf{F}}(x,y)\\cdot({\\bf{t}}_x\\times{\\bf{t}}_y)dydx \\\\  &=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\langle-(1-x-y),0,x\\rangle\\cdot(\\langle1,0,-1\\rangle\\times\\langle0,1,-1\\rangle)dydx \\\\  &=\\displaystyle\\int_0^2\\displaystyle\\int_0^1\\langle{x}+y-1,0,x\\rangle\\cdot\\langle1,1,1\\rangle{d}ydx \\\\  &=\\displaystyle\\int_0^2\\displaystyle\\int_0^12x+y-1dydx \\\\  &=3  \\end{aligned}[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>try it<\/h3>\n<p>Use Stokes\u2019 theorem to calculate line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex], where [latex]{\\bf{F}}=\\langle{z},x,y\\rangle[\/latex] and [latex]C[\/latex] is oriented clockwise and is the boundary of a triangle with vertices [latex](0, 0, 1)[\/latex],\u00a0[latex](3, 0, -2)[\/latex], and\u00a0[latex](0, 1, 2)[\/latex].<\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q736428721\">Show Solution<\/span><\/p>\n<div id=\"q736428721\" class=\"hidden-answer\" style=\"display: none\">\n<p>[latex]\\frac32[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>Watch the following video to see the worked solution to the above Try It<\/p>\n<div style=\"text-align: center;\"><iframe loading=\"lazy\" src=\"\/\/plugin.3playmedia.com\/show?mf=8250332&amp;p3sdk_version=1.10.1&amp;p=20361&amp;pt=375&amp;video_id=3ncBh5i-PPo&amp;video_target=tpm-plugin-tvfo8j8g-3ncBh5i-PPo\" width=\"800px\" height=\"450px\" frameborder=\"0\" marginwidth=\"0px\" marginheight=\"0px\"><\/iframe><\/div>\n<div style=\"text-align: center;\">You can view the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Calculus+3\/Calc+3+transcripts\/CP6.63_transcript.html\">transcript for \u201cCP 6.63\u201d here (opens in new window).<\/a><\/div>\n<h2 data-type=\"title\">Interpretation of Curl<\/h2>\n<p id=\"fs-id1167793876862\">In addition to translating between line integrals and flux integrals, Stokes\u2019 theorem can be used to justify the physical interpretation of curl that we have learned. Here we investigate the relationship between curl and circulation, and we use Stokes\u2019 theorem to state Faraday\u2019s law\u2014an important law in electricity and magnetism that relates the curl of an electric field to the rate of change of a magnetic field.<\/p>\n<p id=\"fs-id1167793876865\">Recall that if [latex]C[\/latex] is a closed curve and\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is a vector field defined on [latex]C[\/latex], then the circulation of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0around [latex]C[\/latex] is line integral [latex]\\displaystyle\\int_C{\\bf{F}}\\cdot{d}{\\bf{r}}[\/latex]. If\u00a0[latex]{\\bf{F}}[\/latex]\u00a0represents the velocity field of a fluid in space, then the circulation measures the tendency of the fluid to move in the direction of [latex]C[\/latex].<\/p>\n<p id=\"fs-id1167794213147\">Let\u00a0[latex]{\\bf{F}}[\/latex]\u00a0be a continuous vector field and let [latex]D_r[\/latex] be a small disk of radius [latex]r[\/latex] with center [latex]P_0[\/latex] (Figure 2). If [latex]D_r[\/latex] is small enough, then [latex](\\text{curl }{\\bf{F}})(P)\\approx(\\text{curl }{\\bf{F}})(P_0)[\/latex] for all points [latex]P[\/latex] in [latex]D_r[\/latex] because the curl is continuous. Let [latex]C_r[\/latex] be the boundary circle of [latex]D_r[\/latex]. By Stokes\u2019 theorem,<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{D_r}\\text{curl }{\\bf{F}}\\cdot{\\bf{N}}{d}S\\approx\\displaystyle\\iint_{D_r}(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)dS}[\/latex].<\/p>\n<div id=\"attachment_5421\" style=\"width: 461px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5421\" class=\"size-full wp-image-5421\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02165934\/6.85a.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/ecb4a2d0729e72f1ca190e658c4ce8453df4f4ea&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A Disk D_r is a small disk in a continuous vector field in three dimensions. The radius of the disk is labeled r, and the center is labeled P_0. The arrows appear to have negative x components, slightly positive y components, and positive z components that become larger as z becomes larger.&quot; id=&quot;16&quot;&gt;\" width=\"451\" height=\"468\" \/><\/p>\n<p id=\"caption-attachment-5421\" class=\"wp-caption-text\">Figure 2. Disk [latex]{D_r}[\/latex] is a small disk in a continuous vector field.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div data-type=\"note\">\n<p id=\"fs-id1167793705650\">The quantity [latex](\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)[\/latex] is constant, and therefore<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{D_r}(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)dS=\\pi{r}^2[(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)]}[\/latex].<\/p>\n<p id=\"fs-id1167793952601\">Thus<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}\\approx\\pi{r}^2[(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)]}[\/latex],<\/p>\n<p id=\"fs-id1167793926562\">and the approximation gets arbitrarily close as the radius shrinks to zero. Therefore Stokes\u2019 theorem implies that<\/p>\n<p style=\"text-align: center;\">[latex]\\large{(\\text{curl }{\\bf{F}})(P_0)\\cdot{\\bf{N}}(P_0)=\\displaystyle\\lim_{r\\to0^+}\\frac{1}{\\pi{r^2}}\\displaystyle\\int_{C_r}{\\bf{F}}\\cdot{d}{\\bf{r}}}[\/latex].<\/p>\n<p id=\"fs-id1167793959013\">This equation relates the curl of a vector field to the circulation. Since the area of the disk is [latex]\\pi{r}^2[\/latex], this equation says we can view the curl (in the limit) as the circulation per unit area. Recall that if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is the velocity field of a fluid, then circulation [latex]\\displaystyle\\oint_{c_r}{\\bf{F}}\\cdot{d}{\\bf{r}}=\\displaystyle\\oint_{C_r}{\\bf{F}}\\cdot{\\bf{T}}ds[\/latex] is a measure of the tendency of the fluid to move around [latex]C_r[\/latex]. The reason for this is that [latex]{\\bf{F}}\\cdot{\\bf{T}}[\/latex] is a component of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0in the direction of\u00a0[latex]{\\bf{T}}[\/latex], and the closer the direction of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is to\u00a0[latex]{\\bf{T}}[\/latex], the larger the value of [latex]{\\bf{F}}\\cdot{\\bf{T}}[\/latex] (remember that if\u00a0[latex]{\\bf{a}}[\/latex]\u00a0and\u00a0[latex]{\\bf{b}}[\/latex]\u00a0are vectors and\u00a0[latex]{\\bf{b}}[\/latex]\u00a0is fixed, then the dot product [latex]{\\bf{a}}\\cdot{\\bf{b}}[\/latex] is maximal when\u00a0[latex]{\\bf{a}}[\/latex]\u00a0points in the same direction as\u00a0[latex]{\\bf{b}}[\/latex]). Therefore, if\u00a0[latex]{\\bf{F}}[\/latex]\u00a0is the velocity field of a fluid, then [latex]\\text{curl }{\\bf{F}}\\cdot{\\bf{N}}[\/latex] is a measure of how the fluid rotates about axis\u00a0[latex]{\\bf{N}}[\/latex]. The effect of the curl is largest about the axis that points in the direction of\u00a0[latex]{\\bf{N}}[\/latex], because in this case [latex]{\\bf{F}}\\cdot{\\bf{N}}[\/latex] is as large as possible.<\/p>\n<p id=\"fs-id1167794135665\">To see this effect in a more concrete fashion, imagine placing a tiny paddlewheel at point [latex]P_0[\/latex] (Figure 3). The paddlewheel achieves its maximum speed when the axis of the wheel points in the direction of [latex]\\text{curl }{\\bf{F}}[\/latex]. This justifies the interpretation of the curl we have learned: curl is a measure of the rotation in the vector field about the axis that points in the direction of the normal vector\u00a0[latex]{\\bf{N}}[\/latex], and Stokes\u2019 theorem justifies this interpretation.<\/p>\n<div id=\"CNX_Calc_Figure_16_07_010\" class=\"os-figure\">\n<div id=\"attachment_5422\" style=\"width: 497px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5422\" class=\"size-full wp-image-5422\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5667\/2021\/11\/02170038\/6.86.jpg\" alt=\"&lt;img src=&quot;\/apps\/archive\/20220422.171947\/resources\/afbebadfcb394f60f32527737154bc700186d92c&quot; data-media-type=&quot;image\/jpeg&quot; alt=&quot;A diagram of a tiny paddlewheel in water. A segment is stretching up out of its center, and that has an arrow labeled curl v. Red arrows are drawn to show the rotation of the wheel in a counterclockwise direction.&quot; id=&quot;17&quot;&gt;\" width=\"487\" height=\"399\" \/><\/p>\n<p id=\"caption-attachment-5422\" class=\"wp-caption-text\">Figure 3. To visualize curl at a point, imagine placing a tiny paddlewheel at that point in the vector field.<\/p>\n<\/div>\n<\/div>\n<div><\/div>\n<\/div>\n<div data-type=\"note\">\n<p id=\"fs-id1167794046342\">Now that we have learned about Stokes\u2019 theorem, we can discuss applications in the area of electromagnetism. In particular, we examine how we can use Stokes\u2019 theorem to translate between two equivalent forms of\u00a0<span id=\"7b59b26d-8ae5-465f-8851-746da2323b56_term285\" class=\"no-emphasis\" data-type=\"term\">Faraday\u2019s law<\/span>. Before stating the two forms of Faraday\u2019s law, we need some background terminology.<\/p>\n<p id=\"fs-id1167793949357\">Let [latex]C[\/latex] be a closed curve that models a thin wire. In the context of electric fields, the wire may be moving over time, so we write [latex]C(t)[\/latex] to represent the wire. At a given time [latex]t[\/latex], curve [latex]C(t)[\/latex] may be different from original curve [latex]C[\/latex] because of the movement of the wire, but we assume that [latex]C(t)[\/latex] is a closed curve for all times [latex]t[\/latex]. Let [latex]D(t)[\/latex] be a surface with [latex]C(t)[\/latex] as its boundary, and orient [latex]C(t)[\/latex] so that [latex]D(t)[\/latex] has positive orientation. Suppose that [latex]C(t)[\/latex] is in a magnetic field [latex]{\\bf{B}}(t)[\/latex] that can also change over time. In other words,\u00a0[latex]{\\bf{b}}[\/latex]\u00a0has the form<\/p>\n<p style=\"text-align: center;\">[latex]\\large{{\\bf{B}}(x,y,z)=\\langle{P}(x,y,z),Q(x,y,z),R(x,y,z)\\rangle}[\/latex],<\/p>\n<p id=\"fs-id1167794041119\">where [latex]P[\/latex], [latex]Q[\/latex], and [latex]R[\/latex] can all vary continuously over time. We can produce current along the wire by changing field [latex]{\\bf{B}}(t)[\/latex] (this is a consequence of Ampere\u2019s law). Flux [latex]\\phi(t)=\\displaystyle\\iint_{D(t)}{\\bf{B}}(t)\\cdot{d}{\\bf{S}}[\/latex] creates electric field [latex]{\\bf{E}}(t)[\/latex] that does work. The integral form of Faraday\u2019s law states that<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\text{Work }=\\displaystyle\\int_{C(t)}{\\bf{E}}(t)\\cdot{d}{\\bf{r}}=-\\frac{\\partial\\phi}{\\partial{t}}}[\/latex].<\/p>\n<p id=\"fs-id1167793705376\">In other words, the work done by\u00a0[latex]{\\bf{E}}[\/latex]\u00a0is the line integral around the boundary, which is also equal to the rate of change of the flux with respect to time. The differential form of Faraday\u2019s law states that<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}}[\/latex].<\/p>\n<p id=\"fs-id1167793979625\">Using Stokes\u2019 theorem, we can show that the differential form of Faraday\u2019s law is a consequence of the integral form. By Stokes\u2019 theorem, we can convert the line integral in the integral form into surface integral<\/p>\n<p style=\"text-align: center;\">[latex]\\large{-\\frac{\\partial\\phi}{\\partial{t}}=\\displaystyle\\int_{C(t)}{\\bf{E}}(t)\\cdot{d}{\\bf{r}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\n<p id=\"fs-id1167794011756\">Since [latex]\\phi(t)=\\displaystyle\\iint_{D(t)}{\\bf{B}}(t)\\cdot{d}{\\bf{S}}[\/latex], then as long as the integration of the surface does not vary with time we also have<\/p>\n<p style=\"text-align: center;\">[latex]\\large{-\\frac{\\partial\\phi}{\\partial{t}}=\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\n<p id=\"fs-id1167793292207\">Therefore,<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex].<\/p>\n<p id=\"fs-id1167794223037\">To derive the differential form of Faraday\u2019s law, we would like to conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex]. In general, the equation<\/p>\n<p style=\"text-align: center;\">[latex]large{\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}}[\/latex]<\/p>\n<p id=\"fs-id1167794070481\">is not enough to conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex]. The integral symbols do not simply \u201ccancel out,\u201d leaving equality of the integrands. To see why the integral symbol does not just cancel out in general, consider the two single-variable integrals [latex]\\displaystyle\\int_0^1xdx[\/latex] and [latex]\\displaystyle\\int_0^1f(x)dx[\/latex], where<\/p>\n<p style=\"text-align: center;\">[latex]f(x)=\\begin{array}{cc}  \\{ &  \\begin{array}{cc}  1, & 0\\leq{x}\\leq1\/2 \\\\  0,& 1\/2\\leq{x}\\leq1  \\end{array}  \\end{array}[\/latex].<\/p>\n<p id=\"fs-id1167793413064\">Both of these integrals equal [latex]\\frac12[\/latex],\u00a0 so[latex]\\displaystyle\\int_0^1xdx=\\displaystyle\\int_0^1f(x)dx[\/latex]. However, [latex]x\\ne{f}(x)[\/latex]. Analogously, with our equation [latex]\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}[\/latex], we cannot simply conclude that [latex]\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}[\/latex] just because their integrals are equal. However, in our context, equation [latex]\\displaystyle\\iint_{D(t)}-\\frac{\\partial{\\bf{B}}}{\\partial{t}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_{D(t)}\\text{curl }{\\bf{E}}(t)\\cdot{d}{\\bf{S}}[\/latex] is true for\u00a0<em data-effect=\"italics\">any<\/em>\u00a0region, however small (this is in contrast to the single-variable integrals just discussed). If\u00a0[latex]{\\bf{F}}[\/latex]\u00a0and\u00a0[latex]{\\bf{G}}[\/latex]\u00a0are three-dimensional vector fields such that [latex]\\displaystyle\\iint_S{\\bf{F}}\\cdot{d}{\\bf{S}}=\\displaystyle\\iint_S{\\bf{G}}\\cdot{d}{\\bf{S}}[\/latex] for any surface [latex]S[\/latex], then it is possible to show that [latex]{\\bf{F}}={\\bf{G}}[\/latex] by shrinking the area of [latex]S[\/latex] to zero by taking a limit (the smaller the area of [latex]S[\/latex], the closer the value of [latex]\\displaystyle\\iint_S{\\bf{F}}\\cdot{d}{\\bf{S}}[\/latex] to the value of\u00a0[latex]{\\bf{F}}[\/latex]\u00a0at a point inside [latex]S[\/latex]). Therefore, we can let area [latex]D(t)[\/latex] shrink to zero by taking a limit and obtain the differential form of Faraday\u2019s law:<\/p>\n<p style=\"text-align: center;\">[latex]\\large{\\text{curl }{\\bf{E}}=-\\frac{\\partial{\\bf{B}}}{\\partial{t}}}[\/latex].<\/p>\n<p id=\"fs-id1167794332114\">In the context of electric fields, the curl of the electric field can be interpreted as the negative of the rate of change of the corresponding magnetic field with respect to time.<\/p>\n<div id=\"fs-id1167794163639\" class=\"ui-has-child-title\" data-type=\"example\">\n<div class=\"textbox exercises\">\n<h3>Example: Using Faraday&#8217;s law<\/h3>\n<p>Calculate the curl of electric field\u00a0[latex]{\\bf{E}}[\/latex]\u00a0if the corresponding magnetic field is constant field [latex]{\\bf{B}}(t)=\\langle1,-4,2\\rangle[\/latex].<\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q524283491\">Show Solution<\/span><\/p>\n<div id=\"q524283491\" class=\"hidden-answer\" style=\"display: none\">\n<div id=\"fs-id1167793271540\" class=\"ui-solution-visible\" data-type=\"solution\" aria-label=\"hide solution\" aria-expanded=\"true\">\n<section class=\"ui-body\" role=\"alert\">\n<h2 data-type=\"solution-title\"><span class=\"os-title-label\">Solution<\/span><\/h2>\n<div class=\"os-solution-container\">\n<p id=\"fs-id1167793271543\">Since the magnetic field does not change with respect to time, [latex]-\\frac{\\partial{\\bf{B}}}{\\partial{t}}=0[\/latex]. By Faraday\u2019s law, the curl of the electric field is therefore also zero.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-id1167793291680\" data-type=\"commentary\">\n<h2 id=\"19\" data-type=\"commentary-title\"><span class=\"os-title-label\">Analysis<\/span><\/h2>\n<p id=\"fs-id1167793245844\">A consequence of Faraday\u2019s law is that the curl of the electric field corresponding to a constant magnetic field is always zero.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>try it<\/h3>\n<div id=\"fs-id1167793511934\" class=\"unnumbered os-hasSolution\" data-type=\"exercise\">\n<section>\n<div id=\"fs-id1167794180485\" data-type=\"problem\">\n<div class=\"os-problem-container\">\n<p id=\"fs-id1167794180488\">Calculate the curl of electric field\u00a0[latex]{\\bf{E}}[\/latex]\u00a0if the corresponding magnetic field is\u00a0[latex]{\\bf{B}}(t)=\\langle{t}x,ty,-2tz\\rangle[\/latex],\u00a0[latex]0\\leq{t}<\\infty[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<p id=\"fs-id1167793277128\">Notice that the curl of the electric field does not change over time, although the magnetic field does change over time.<\/p>\n<div class=\"qa-wrapper\" style=\"display: block\"><span class=\"show-answer collapsed\" style=\"cursor: pointer\" data-target=\"q637266519\">Show Solution<\/span><\/p>\n<div id=\"q637266519\" class=\"hidden-answer\" style=\"display: none\">\n<p>[latex]\\text{curl }{\\bf{E}}=\\langle -x,-y,2z\\rangle[\/latex].<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>Watch the following video to see the worked solution to the above Try It<\/p>\n<div style=\"text-align: center;\"><iframe loading=\"lazy\" src=\"\/\/plugin.3playmedia.com\/show?mf=8250331&amp;p3sdk_version=1.10.1&amp;p=20361&amp;pt=375&amp;video_id=L-nOCRnqaqw&amp;video_target=tpm-plugin-v5xwm5zh-L-nOCRnqaqw\" width=\"800px\" height=\"450px\" frameborder=\"0\" marginwidth=\"0px\" marginheight=\"0px\"><\/iframe><\/div>\n<div style=\"text-align: center;\">You can view the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Calculus+3\/Calc+3+transcripts\/CP6.64_transcript.html\">transcript for \u201cCP 6.64\u201d here (opens in new window).<\/a><\/div>\n<\/div>\n\n\t\t\t <section class=\"citations-section\" role=\"contentinfo\">\n\t\t\t <h3>Candela Citations<\/h3>\n\t\t\t\t\t <div>\n\t\t\t\t\t\t <div id=\"citation-list-5510\">\n\t\t\t\t\t\t\t <div class=\"licensing\"><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Original<\/div><ul class=\"citation-list\"><li>CP 6.63. <strong>Authored by<\/strong>: Ryan Melton. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em><\/li><li>CP 6.64. <strong>Authored by<\/strong>: Ryan Melton. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em><\/li><\/ul><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Shared previously<\/div><ul class=\"citation-list\"><li>Calculus Volume 3. <strong>Authored by<\/strong>: Gilbert Strang, Edwin (Jed) Herman. <strong>Provided by<\/strong>: OpenStax. <strong>Located at<\/strong>: <a target=\"_blank\" href=\"https:\/\/openstax.org\/books\/calculus-volume-3\/pages\/1-introduction\">https:\/\/openstax.org\/books\/calculus-volume-3\/pages\/1-introduction<\/a>. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/\">CC BY-NC-SA: Attribution-NonCommercial-ShareAlike<\/a><\/em>. <strong>License Terms<\/strong>: Access for free at https:\/\/openstax.org\/books\/calculus-volume-3\/pages\/1-introduction<\/li><\/ul><\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t <\/div>\n\t\t\t <\/section>","protected":false},"author":349141,"menu_order":32,"template":"","meta":{"_candela_citation":"[{\"type\":\"cc\",\"description\":\"Calculus Volume 3\",\"author\":\"Gilbert Strang, Edwin (Jed) Herman\",\"organization\":\"OpenStax\",\"url\":\"https:\/\/openstax.org\/books\/calculus-volume-3\/pages\/1-introduction\",\"project\":\"\",\"license\":\"cc-by-nc-sa\",\"license_terms\":\"Access for free at https:\/\/openstax.org\/books\/calculus-volume-3\/pages\/1-introduction\"},{\"type\":\"original\",\"description\":\"CP 6.63\",\"author\":\"Ryan Melton\",\"organization\":\"\",\"url\":\"\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"\"},{\"type\":\"original\",\"description\":\"CP 6.64\",\"author\":\"Ryan Melton\",\"organization\":\"\",\"url\":\"\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"\"}]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-5510","chapter","type-chapter","status-publish","hentry"],"part":24,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapters\/5510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/wp\/v2\/users\/349141"}],"version-history":[{"count":21,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapters\/5510\/revisions"}],"predecessor-version":[{"id":6162,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapters\/5510\/revisions\/6162"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/parts\/24"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapters\/5510\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/wp\/v2\/media?parent=5510"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/pressbooks\/v2\/chapter-type?post=5510"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/wp\/v2\/contributor?post=5510"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/calculus3\/wp-json\/wp\/v2\/license?post=5510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}