Curvature and the Osculating Circle by Susan Wildstrom and Peggy Craft restart; In single variable calculus, students learn that the first and second derivatives of a function help them to see the behavior of the graph of the function (increasing, decreasing, concavity, local maximum and minimum points as well as points of inflection). In multivariable calculus, even for functions whose graphs are just planar curves, the notion of the curvature emerges as a way of measuring the rate at which a curve "bends".
<Text-field style="Heading 1" layout="Heading 1">A Review of Parametric notation for specifying lines</Text-field> Students learn to use 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 notation in their early mathematics classes. Students sometimes learn to write parametric equations in upper level courses. Here we will present some methods for writing parametric equations for lines. Suppose that we are given two points (-5,2) and (3,6). To write parametric equations for the line through these two points we need to make a couple of decisions. Which of the two points will we "start" at, and which direction (toward or away from the other point) will we consider to be the positive direction of the line. As a general policy, we will usually consider the direction from our starting point toward the second point to be the positive direction. We will also want to decide how we wish to "calibrate" movement along the line. It is often convenient (if not computationally simplest) to calibrate in such a way that the value of the parameter, d, will represent an explicit distance to be traveled along the line. To that end we need to determine how much of each unit travelled along the line represents motion in a horizontal direction and how much represents motion in a vertical direction. Knowing the actual distance between the two given points and computing the horizontal and vertical changes as we move from the starting point to the second point enables us to determine values (called the directional cosines) that represent the horizontal and vertical components of change per single unit of distance travelled. The following Maple code will produce the parametric equations for the line through (-5,2) and (3,6) using (-5,2) as the starting point and positively directing the line toward (3,6). x0 := -5; y0 := 2; x1 := 3; y1 := 6; c1 := x1-x0; c2 := y1-y0; lambda := sqrt(c1^2+c2^2); cos1 := c1/lambda; cos2 := c2/lambda; x := x0+cos1*d; y := y0+cos2*d; ISIm IiIj IiIk IiIn IiIp IiIl LCQqJCIiJiMiIiIiIiMiIiU= LCQqJCIiJiMiIiIiIiMjRidGJA== LCQqJCIiJiMiIiIiIiMjRiZGJA== LCYhIiYiIiIqJiIiJiNGJCIiI0kiZEc2IkYkI0YoRiY= LCYiIiMiIiIqJiIiJiNGJEYjSSJkRzYiRiQjRiRGJg== To see what the graph of this line looks like, we need to specify not only the function to be plotted but also the range of values we want the parameter to include. Starting our range of d values with 0 will cause the line to begin at (-5,2) and move toward (3,6). The length of the line we draw will be determined by the difference between the starting and ending values of d. Using negative values of d will draw a graph of the line that will include points "before" the starting point of (-5,2). Substituting explicit values of d into the parametric equations we have written will calculate coordinate pairs for points on the line at that particular distance from the starting point (-5,2). 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Graph your line as well. JSFH LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYjLUkjbWlHRiQ2I1EhRic=
<Text-field style="Heading 1" layout="Heading 1">Perpendicular lines and more</Text-field> We recall that lines that are perpendicular to one another have slopes that are negative reciprocals of one another. Looking at the parametric equations for a line, is there a way to know the slope of the line (without going back to the slope formula from rectangular form)? If you do not immediately see where the parametric equations contain the slope, compute the slope from the rectangular formula and investigate further. slope := (y1-y0)/(x1-x0); cos2/cos1; IyIiIiIiIw== IyIiIiIiIw== So a quick way to determine the slope of a line perpendicular to a given line is to write the negative reciprocal of the slope of the original line. Since the components of the slope are contained in the directional cosines of the parametric equations, a line perpendicular to the given line will need to have "new" directional cosines that represent the negative reciprocal. How can we write new parametric equations for the line through the same starting point but perpendicular to the original line? Do you need to find an actual point on the perpendicular line or is there a way to do this process without having another point? perpslope:=-cos1/cos2; ISIj xperp1:=x0+cos2*d; yperp1:=y0-cos1*d; LCYhIiYiIiIqJiIiJiNGJCIiI0kiZEc2IkYkI0YkRiY= LCYiIiMiIiIqJiIiJiNGJEYjSSJkRzYiRiQjISIjRiY= xperp2:=x0-cos2*d; yperp2:=y0+cos1*d; LCYhIiYiIiIqJiIiJiNGJCIiI0kiZEc2IkYkIyEiIkYm LCYiIiMiIiIqJiIiJiNGJEYjSSJkRzYiRiQjRiNGJg== What is the difference between the two sets of equations for the line perpendicular to the given line? plot({[x, y, d = -10 .. 10],[xperp1,yperp1,d=-10..10]}, color=[red,blue]); 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Suppose you wanted to write parametric equations for a line perpendicular to the given line but through a point not on the original line at all? Suppose you wanted to write parametric equations for a line parallel to the original line and through another given point? Experiment with the code above to discover techniques you could use for parallel and perpendicular lines. Exercise: 2) Write parametric equations for the line through (7, -2) and parallel to the first line we examined. JSFH 3) Write parametric equations for the line through (2, -5) and perpendicular to the first line. JSFH 4) Graph the two lines you just created. Make the first line show up in blue and the second one in red. JSFH JSFH JSFH
<Text-field style="Heading 1" layout="Heading 1">Developing Curvature</Text-field> Consider an angle \316\270 formed between LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2JVEiVEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JKG1mZW5jZWRHRiQ2JC1GIzYkLUYsNiVRInNGJ0YvRjIvRjNRJ25vcm1hbEYnRj1GPQ== and LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2I1EhRictSSNtbkdGJDYkUSJpRicvJSxtYXRodmFyaWFudEdRJ25vcm1hbEYnRjM= (the unit vector along the positive x-axis). Note then that LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYmLUkjbWlHRiQ2JVEnJiM5NTI7RicvJSdpdGFsaWNHUSZmYWxzZUYnLyUsbWF0aHZhcmlhbnRHUSdub3JtYWxGJy1JI21vR0YkNi1RIj1GJ0YyLyUmZmVuY2VHRjEvJSpzZXBhcmF0b3JHRjEvJSlzdHJldGNoeUdGMS8lKnN5bW1ldHJpY0dGMS8lKGxhcmdlb3BHRjEvJS5tb3ZhYmxlbGltaXRzR0YxLyUnYWNjZW50R0YxLyUnbHNwYWNlR1EsMC4yNzc3Nzc4ZW1GJy8lJ3JzcGFjZUdGSS1JJW1zdXBHRiQ2JS1GLDYlUSRjb3NGJ0YvRjItRiM2JS1GNjYtUSomdW1pbnVzMDtGJ0YyRjlGO0Y9Rj9GQUZDRkUvRkhRLDAuMjIyMjIyMmVtRicvRktGWC1JI21uR0YkNiRRIjFGJ0YyRjIvJTFzdXBlcnNjcmlwdHNoaWZ0R1EiMEYnRjI= (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 Realize that since the magnitudes of both LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2JVEiVEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JKG1mZW5jZWRHRiQ2JC1GIzYkLUYsNiVRInNGJ0YvRjIvRjNRJ25vcm1hbEYnRj1GPQ== and LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2I1EhRictSSNtbkdGJDYkUSJpRicvJSxtYXRodmFyaWFudEdRJ25vcm1hbEYnRjM= are 1, there are no denominators to worry about). And now \316\270 will be a function of s (arclength), ie \316\270 is a function of LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2JVEiVEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JKG1mZW5jZWRHRiQ2JC1GIzYkLUYsNiVRInNGJ0YvRjIvRjNRJ25vcm1hbEYnRj1GPQ== so this is a composite function but in s. So, LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYnLUkjbWlHRiQ2JVEnJiM5NTI7RicvJSdpdGFsaWNHUSZmYWxzZUYnLyUsbWF0aHZhcmlhbnRHUSdub3JtYWxGJy1JI21vR0YkNi1RIj1GJ0YyLyUmZmVuY2VHRjEvJSpzZXBhcmF0b3JHRjEvJSlzdHJldGNoeUdGMS8lKnN5bW1ldHJpY0dGMS8lKGxhcmdlb3BHRjEvJS5tb3ZhYmxlbGltaXRzR0YxLyUnYWNjZW50R0YxLyUnbHNwYWNlR1EsMC4yNzc3Nzc4ZW1GJy8lJ3JzcGFjZUdGSS1GLDYlUSJmRicvRjBRJXRydWVGJy9GM1EnaXRhbGljRictSShtZmVuY2VkR0YkNiQtRiM2JS1GLDYlUSJURidGT0ZRLUZUNiQtRiM2JC1GLDYlUSJzRidGT0ZRRjJGMkYyRjJGMg== Let LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYkLUkmbWZyYWNHRiQ2KC1JI21pR0YkNiVRKGQmIzk1MjtGJy8lJ2l0YWxpY0dRJXRydWVGJy8lLG1hdGh2YXJpYW50R1EnaXRhbGljRictRiM2JC1GLzYlUSNkc0YnRjJGNS9GNlEnbm9ybWFsRicvJS5saW5ldGhpY2tuZXNzR1EiMUYnLyUrZGVub21hbGlnbkdRJ2NlbnRlckYnLyUpbnVtYWxpZ25HRkQvJSliZXZlbGxlZEdRJmZhbHNlRidGPQ== be our measure of how much the curve, C, bends at points along it. We define the curvature, K, of C at LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2JVEiUEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JKG1mZW5jZWRHRiQ2JC1GIzYmLUYsNiVRInhGJ0YvRjItSSNtb0dGJDYtUSIsRicvRjNRJ25vcm1hbEYnLyUmZmVuY2VHUSZmYWxzZUYnLyUqc2VwYXJhdG9yR0YxLyUpc3RyZXRjaHlHRkUvJSpzeW1tZXRyaWNHRkUvJShsYXJnZW9wR0ZFLyUubW92YWJsZWxpbWl0c0dGRS8lJ2FjY2VudEdGRS8lJ2xzcGFjZUdRJjAuMGVtRicvJSdyc3BhY2VHUSwwLjMzMzMzMzNlbUYnLUYsNiVRInlGJ0YvRjJGQUZBRkE= as LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYoLUkjbWlHRiQ2JVEiS0YnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JI21vR0YkNi1RIj1GJy9GM1Enbm9ybWFsRicvJSZmZW5jZUdRJmZhbHNlRicvJSpzZXBhcmF0b3JHRj0vJSlzdHJldGNoeUdGPS8lKnN5bW1ldHJpY0dGPS8lKGxhcmdlb3BHRj0vJS5tb3ZhYmxlbGltaXRzR0Y9LyUnYWNjZW50R0Y9LyUnbHNwYWNlR1EsMC4yNzc3Nzc4ZW1GJy8lJ3JzcGFjZUdGTC1GNjYtUS4mVmVydGljYWxCYXI7RidGOUY7Rj5GQEZCRkRGRkZIRkpGTS1JJm1mcmFjR0YkNigtRiw2JVEoZCYjOTUyO0YnRi9GMi1GIzYkLUYsNiVRI2RzRidGL0YyRjkvJS5saW5ldGhpY2tuZXNzR1EiMUYnLyUrZGVub21hbGlnbkdRJ2NlbnRlckYnLyUpbnVtYWxpZ25HRlxvLyUpYmV2ZWxsZWRHRj0tRjY2LVEifGdyRidGOUY7Rj4vRkFGMUZCRkRGRkZIL0ZLUSwwLjExMTExMTFlbUYnL0ZORmZvRjk= We now can harness the power of Maple to derive the formulas for curvature. First let's assume we have a function in the form 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. Recall that the slope of the tangent line LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYnLUklbXN1cEdGJDYlLUkjbWlHRiQ2JVEieUYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1GIzYkLUkjbW9HRiQ2LVEiJ0YnL0Y2USdub3JtYWxGJy8lJmZlbmNlR1EmZmFsc2VGJy8lKnNlcGFyYXRvckdGQi8lKXN0cmV0Y2h5R0ZCLyUqc3ltbWV0cmljR0ZCLyUobGFyZ2VvcEdGQi8lLm1vdmFibGVsaW1pdHNHRkIvJSdhY2NlbnRHRkIvJSdsc3BhY2VHUSwwLjExMTExMTFlbUYnLyUncnNwYWNlR1EmMC4wZW1GJ0Y+LyUxc3VwZXJzY3JpcHRzaGlmdEdRIjBGJy1GOzYtUSI9RidGPkZARkNGRUZHRklGS0ZNL0ZQUSwwLjI3Nzc3NzhlbUYnL0ZTRmZuLUYjNictRi82I1EhRictRjs2LVEkdGFuRidGPi9GQVEmdW5zZXRGJy9GREZhby9GRkZhby9GSEZhby9GSkZhby9GTEZhby9GTkZhby9GUEZURlItRjs2LVEwJkFwcGx5RnVuY3Rpb247RidGPkZARkNGRUZHRklGS0ZNRmhvRlItSShtZmVuY2VkR0YkNiQtRiM2JC1GLzYmUScmIzk1MjtGJy9GM0ZCLyU2c2VsZWN0aW9uLXBsYWNlaG9sZGVyR0Y0Rj5GPkY+Rj5Gam5GPg==, so 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. As for the LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYkLUkjbWlHRiQ2JVEjZHNGJy8lJ2l0YWxpY0dRJXRydWVGJy8lLG1hdGh2YXJpYW50R1EnaXRhbGljRicvRjNRJ25vcm1hbEYn computation we recall that 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 It is important to realize that both LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYkLUkjbWlHRiQ2JVEnJiM5NTI7RicvJSdpdGFsaWNHUSZmYWxzZUYnLyUsbWF0aHZhcmlhbnRHUSdub3JtYWxGJ0Yy and LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYkLUkjbWlHRiQ2JVEic0YnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy9GM1Enbm9ybWFsRic= are functions of LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYkLUkjbWlHRiQ2JVEieEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy9GM1Enbm9ybWFsRic=, and so we will be using the chain rule to compute our formula for curvature 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 so computing those two parts separately and then combining and simplifying the results should get us a usable formula. #Differentiate theta: restart; y:=f(x); theta:=arctan(Diff(y,x)): diff(theta,x); LUkiZkc2IjYjSSJ4R0Yk KiYtSSVEaWZmRzYkJSpwcm90ZWN0ZWRHSShfc3lzbGliRzYiNiQtSSVkaWZmR0YmNiQtSSJmR0YoNiNJInhHRihGMEYwIiIiLCZGMUYxKiQtRiRGLCIiI0YxISIi #Differentiate s: s:=int(sqrt(1+(diff(y,x))^2),x=a..x); diff(s,x); LUkkaW50RzYkJSpwcm90ZWN0ZWRHSShfc3lzbGliRzYiNiQqJCwmIiIiRisqJC1JJWRpZmZHRiU2JC1JImZHRic2I0kieEdGJ0YzIiIjRisjRitGNC9GMztJImFHRidGMw== KiQsJiIiIkYkKiQtSSVkaWZmRyUqcHJvdGVjdGVkRzYkLUkiZkc2IjYjSSJ4R0YsRi4iIiNGJCNGJEYv #Put them together: K:=abs(diff(theta,x)/diff(s,x)); LUkkYWJzRyUqcHJvdGVjdGVkRzYjKigtSSVEaWZmRzYkRiRJKF9zeXNsaWJHNiI2JC1JJWRpZmZHRiQ2JC1JImZHRis2I0kieEdGK0YzRjMiIiIsJkY0RjQqJC1GKEYvIiIjRjQhIiIsJkY0RjQqJEYtRjhGNCNGOUY4 So in simpler terms we see that the curvature for a function expressed in standard function notation is LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYmLUkjbWlHRiQ2JVEiS0YnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JI21vR0YkNi1RIj1GJy9GM1Enbm9ybWFsRicvJSZmZW5jZUdRJmZhbHNlRicvJSpzZXBhcmF0b3JHRj0vJSlzdHJldGNoeUdGPS8lKnN5bW1ldHJpY0dGPS8lKGxhcmdlb3BHRj0vJS5tb3ZhYmxlbGltaXRzR0Y9LyUnYWNjZW50R0Y9LyUnbHNwYWNlR1EsMC4yNzc3Nzc4ZW1GJy8lJ3JzcGFjZUdGTC1JKG1mZW5jZWRHRiQ2Ji1GIzYkLUkmbWZyYWNHRiQ2KC1GLDYlUSN5IkYnRi9GMi1GIzYkLUklbXN1cEdGJDYlLUYjNiYtRiw2I1EhRictRiM2JC1GUDYkLUYjNiYtSSNtbkdGJDYkUSIxRidGOS1GNjYtUSIrRidGOUY7Rj5GQEZCRkRGRkZIL0ZLUSwwLjIyMjIyMjJlbUYnL0ZORlxwLUZnbjYlLUZQNiQtRiM2JC1GZ242JS1GLDYlUSJ5RidGL0YyLUYjNiQtRjY2LVEiJ0YnRjlGO0Y+RkBGQkZERkZGSC9GS1EsMC4xMTExMTExZW1GJy9GTlEmMC4wZW1GJ0Y5LyUxc3VwZXJzY3JpcHRzaGlmdEdRIjBGJ0Y5RjktRiM2JC1GZW82JFEiMkYnRjlGOUZicUY5RjlGOUZbb0Y5LUYjNiQtRlU2KC1GZW82JFEiM0YnRjlGZXEvJS5saW5ldGhpY2tuZXNzR1EiMUYnLyUrZGVub21hbGlnbkdRJ2NlbnRlckYnLyUpbnVtYWxpZ25HRmZyLyUpYmV2ZWxsZWRHRj1GOUZicUY5RmFyRmRyRmdyRmlyRjlGOS8lJW9wZW5HUSJ8Z3JGJy8lJmNsb3NlR0Zdc0Y5 So, we shall now tackle the case of a function defined parametrically. LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYnLUkjbWlHRiQ2JVEieEYnLyUnaXRhbGljR1EldHJ1ZUYnLyUsbWF0aHZhcmlhbnRHUSdpdGFsaWNGJy1JI21vR0YkNi1RIj1GJy9GM1Enbm9ybWFsRicvJSZmZW5jZUdRJmZhbHNlRicvJSpzZXBhcmF0b3JHRj0vJSlzdHJldGNoeUdGPS8lKnN5bW1ldHJpY0dGPS8lKGxhcmdlb3BHRj0vJS5tb3ZhYmxlbGltaXRzR0Y9LyUnYWNjZW50R0Y9LyUnbHNwYWNlR1EsMC4yNzc3Nzc4ZW1GJy8lJ3JzcGFjZUdGTC1GLDYlUSJmRidGL0YyLUkobWZlbmNlZEdGJDYkLUYjNiQtRiw2JVEidEYnRi9GMkY5RjlGOQ== and 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Again we will start with the fact that 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and 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and we will again use the chain rule as before 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 #Differentiate theta: x:=f(t); y:=g(t); c:=(diff(y,t)/diff(x,t)); theta:=arctan(c): diff(theta,t); LUkiZkc2IjYjSSJ0R0Yk LUkiZ0c2IjYjSSJ0R0Yk KiYtSSVkaWZmRyUqcHJvdGVjdGVkRzYkLUkiZ0c2IjYjSSJ0R0YpRisiIiItRiQ2JC1JImZHRilGKkYrISIi KiYsJiomLUklZGlmZkclKnByb3RlY3RlZEc2JC1GJjYkLUkiZ0c2IjYjSSJ0R0YtRi9GLyIiIi1GJjYkLUkiZkdGLUYuRi8hIiJGMCooRilGMEYxISIjLUYmNiRGMUYvRjBGNUYwLCZGMEYwKiZGKSIiI0YxRjdGMEY1 #Differentiate s: s:=int(sqrt((diff(x,t))^2+(diff(y,t))^2),t=a..t); diff(s,t); LUkkaW50RzYkJSpwcm90ZWN0ZWRHSShfc3lzbGliRzYiNiQqJCwmKiQtSSVkaWZmR0YlNiQtSSJmR0YnNiNJInRHRidGMiIiIyIiIiokLUYtNiQtSSJnR0YnRjFGMkYzRjQjRjRGMy9GMjtJImFHRidGMg== KiQsJiokLUklZGlmZkclKnByb3RlY3RlZEc2JC1JImZHNiI2I0kidEdGK0YtIiIjIiIiKiQtRiY2JC1JImdHRitGLEYtRi5GLyNGL0Yu #Put them together: K:=abs(diff(theta,t)/diff(s,t)); LUkkYWJzRyUqcHJvdGVjdGVkRzYjKigsJiomLUklZGlmZkdGJDYkLUYqNiQtSSJnRzYiNiNJInRHRjBGMkYyIiIiLUYqNiQtSSJmR0YwRjFGMiEiIkYzKihGLEYzRjQhIiMtRio2JEY0RjJGM0Y4RjMsJkYzRjMqJkYsIiIjRjRGOkYzRjgsJiokRjRGP0YzKiRGLEY/RjMjRjhGPw== simplify( ); LUkkYWJzRyUqcHJvdGVjdGVkRzYjKiYsJiomLUklZGlmZkdGJDYkLUYqNiQtSSJnRzYiNiNJInRHRjBGMkYyIiIiLUYqNiQtSSJmR0YwRjFGMkYzRjMqJkYsRjMtRio2JEY0RjJGMyEiIkYzLCYqJEY0IiIjRjMqJEYsRj5GMyMhIiRGPg== We see that the curvature for a function expressed parametrically can be significantly simplified, resolving the complex fraction by multiplying by 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 and getting a nicer formula 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 LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYjLUkjbWlHRiQ2I1EhRic=
=============================================== Here's a template Peggy developed for viewing curvature. Sorry for the rough seam between Susan and me, but Maple isn't feeling like home yet... Objective: Seeing curvature in 2D User enters explicit 2D equation (twice, once as "f", once as "y"), the range for x's, and the point of interest. Template shows graph with point highlighted (sort of) then computes and reports curvature at the point, and reports the radius of the "osculating circle", or "circle of curvature", and sketches curve along with that circle. Uglies Only works when center of circle is to the left of the graph and first der at point of interest being non-zero. (See newer code at bottom - I was afraid to start cut/pasting - had bad luck with that.) I didn't take time to find the plotting program that lets me set axes and contrain scales, so you might want to 1:1 the final graph. As the double-entry of the function shows clearly, I don't yet understand functions versus expressions, nor how to evaluate either one elegantly. Enter explicit function for a curve (twice [sorry]), the x-range and the point of interest: 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NigtJSdDVVJWRVNHNiQ3UzckJCEjUyEiIiQiJGciISIiNyQkITJubW1td0FjI1EhIzskIjFLUUdiKlFOWSIhIzk3JCQhMUxMTG8hKSpRbiQhIzokIjInUi5sLEZ2XDghIzo3JCQhMm5tbW14bktdJCEjOyQiMSxKXTYmKUdGNyEjOTckJCEybG1tbVYxOkwkISM7JCIySDliUF4kKik0NiEjOjckJCEyTkxMJFs5Y2dKISM7JCIxKSozcG8nWyIqKSoqISM6NyQkITJubW07Y3Q/KyQhIzskIjEnKXpscGNXNyEqISM6NyQkIStOJm96JEchIiokIjFZK2wwYTFhISkhIzo3JCQhMW5tbSIpM0RvRSEjOiQiMVhcXm5GYz5yISM6NyQkISs6djIqXCMhIiokIjF3JnlmVSlRWGkhIzo3JCQhMktMTEwiPjFEQiEjOyQiMEVMMyFIImZTJiEjOTckJCEybW1tbSgpKXlyQCEjOyQiMWlJIlsjcG07WiEjOjckJCEyLSsrK3VSIyoqPiEjOyQiMiRvXyp6YGZwKlIhIzs3JCQhKUApZiM9ISIoJCIwVD8mSDFATUwhIzk3JCQhKkU7IWY7ISIpJCIydlFXNCZcTF9GISM7NyQkITJubW07RyZSMjohIzskIjIlSDQ+TjBDc0EhIzs3JCQhMk1MTExGLnJLIiEjOyQiMiRbPzQpNC43dyIhIzs3JCQhMk9MTExIc1Y8IiEjOyQiMkwqKltMR10iejghIzs3JCQhMS0rK10mKTRuKiohIzskIjE5N2FdYElNKiohIzs3JCQhMVBMTExcWyVSKSEjOyQiMC8nZkh4dFlxISM6NyQkITEpKioqKipcJnkhcG0hIzskIjEzcWdxM21aVyEjOzckJCEqbCQzRV0hIiokIjI8dHpjb15oXyMhIzw3JCQhMkNMTEwkM3o2TCEjPCQiMipvXVBfZXonNCIhIzw3JCQhMlBMTEwpW2BQPCEjPCQiMjs9KzNaRiE+SSEjPTckJCExVG5tbW1yW1IhIz0kIjIlcDZPSmpCZjohI0A3JCQiMm9LTEw9MlZzIiEjPCQiMTZcXGlfQnRIISM8NyQkIjEnKioqKipcYHBmSyEjOyQiMidmNlt4OGNpNSEjPDckJCIxSExMTG0meiJcISM7JCIyJUhadFcoSCc9QyEjPDckJCIxKCoqKioqKnotNmonISM7JCIweTtXVl9yUiUhIzo3JCQiMSMqKioqKio0IzMyJCkhIzskIjFGU2gsOHcrcCEjOzckJCIxJSoqKioqXCN5J0cqKiEjOyQiMSVILSN6Xid5JikqISM7NyQkIjIkKioqKioqSCU9SDwiISM7JCIyS21MTWtQZFAiISM7NyQkIjFtbW0xPnFNOCEjOiQiMU0nZid6Ikg5eSIhIzo3JCQiMikqKioqKioqSFN1XSIhIzskIjInKjNrIWVpUHNBISM7NyQkIjFMTExlcCdSbSIhIzokIjElM0QlUWd5b0YhIzo3JCQiMioqKioqKipSPjROPSEjOyQiMkwnSERHQ2NuTCEjOzckJCIyZW1tO0AyaCo+ISM7JCIyO25uLytXVylSISM7NyQkIjImKioqKipcYzlXOyMhIzskIjFQVD00L3AlbyUhIzo3JCQiMmptbW13bCpHQiEjOyQiMWBfSVU6M0NhISM6NyQkIjInKioqKipcaU43XSMhIzskIjFSInA8bHpoRCchIzo3JCQiMk5MTEwoPjpuRSEjOyQiMSYqZSYpWycqcDhyISM6NyQkIjFMTEwuYSNvJEchIzokIjFHdCoqbyR5di8pISM6NyQkIjJsbW07JlE0MEkhIzskIjEtW0tkISplSSEqISM6NyQkIiozOihmSiEiKSQiMS8lem5RKnokKSoqISM6NyQkIjJtbW1tWEdwTCQhIzskIjF5NlxfIjRONiIhIzk3JCQiMUxMTDgtViZcJCEjOiQiMV4kR3dCLj1BIiEjOTckJCIrWGhVa08hIiokIjJqJmZAKCo9IUdNIiEjOjckJCIrOm88RVEhIiokIjJYTms+IUgnUlkiISM6NyQkIiNTISIiJCIkZyIhIiItJSZDT0xPUkc2JiUkUkdCRyQiIzUhIiIkIiIhISIiJCIiISEiIi0lJ0NVUlZFU0c2JDdTNyQkISM1ISIiJCIjNSEiIjckJCEyS0xMM1ZmVisiISM7JCIyS0xMM1ZmVisiISM7NyQkITJubSJIW0Q6MzUhIzskIjJubSJIW0Q6MzUhIzs3JCQhMkxMJGUwJD1DLCIhIzskIjJMTCRlMCQ9QywiISM7NyQkITJLTCQzUkJyOzUhIzskIjJLTCQzUkJyOzUhIzs3JCQhMm5tInpqZik0LSIhIzskIjJubSJ6amYpNC0iISM7NyQkITJMTGU0O1tcLSIhIzskIjJMTGU0O1tcLSIhIzs3JCQhLkRteV0hSDUhIzckIi5EbXldIUg1ISM3NyQkITJNTGV6cyRITDUhIzskIjJNTGV6cyRITDUhIzs3JCQhLkRAMUJ2LiIhIzckIi5EQDFCdi4iISM3NyQkITJtbW1AWHQ9LyIhIzskIjJtbW1AWHQ9LyIhIzs3JCQhMk1MJDN5X3FYNSEjOyQiMk1MJDN5X3FYNSEjOzckJCEsbCs+KzAiISM1JCIsbCs+KzAiISM1NyQkISx2V11WMCIhIzUkIix2V11WMCIhIzU3JCQhLE5mQyZlNSEjNSQiLE5mQyZlNSEjNTckJCEyS0xlejY6QjEiISM7JCIyS0xlejY6QjEiISM7NyQkITJtbW0iPUMjbzEiISM7JCIybW1tIj1DI28xIiEjOzckJCEybm1tRXBTMTIiISM7JCIybm1tRXBTMTIiISM7NyQkIS5ET0QjM3Y1ISM3JCIuRE9EIzN2NSEjNzckJCEybW1td3k4IXo1ISM7JCIybW1td3k4IXo1ISM7NyQkIS5ET0lGTDMiISM3JCIuRE9JRkwzIiEjNzckJCEudjN6TXUzIiEjNyQiLnYzek11MyIhIzc3JCQhMm5tO0hfPzw0IiEjOyQiMm5tO0hfPzw0IiEjOzckJCEybW0iemlobCY0IiEjOyQiMm1tInppaGwmNCIhIzs3JCQhMk1MJDMjRywqKjQiISM7JCIyTUwkMyNHLCoqNCIhIzs3JCQhMkxMZXp3NVY1IiEjOyQiMkxMZXp3NVY1IiEjOzckJCEudiRRI1wiMzYhIzckIi52JFEjXCIzNiEjNzckJCEyTEwkZSIqW0g3NiEjOyQiMkxMJGUiKltINzYhIzs3JCQhK2R4ZDs2ISIqJCIrZHhkOzYhIio3JCQhLUQweHc/NiEjNiQiLUQweHc/NiEjNjckJCEuRGNwQFs3IiEjNyQiLkRjcEBbNyIhIzc3JCQhLXZnSEtINiEjNiQiLXZnSEtINiEjNjckJCEybm1td2FuTDgiISM7JCIybm1td2FuTDgiISM7NyQkISx2KydvUDYhIzUkIix2KydvUDYhIzU3JCQhMkxMZVI8KmZUNiEjOyQiMkxMZVI8KmZUNiEjOzckJCEyKioqKipcKUh4ZTkiISM7JCIyKioqKipcKUh4ZTkiISM7NyQkITJsbSJIIW8tKlw2ISM7JCIybG0iSCFvLSpcNiEjOzckJCEuRFRPNVQ6IiEjNyQiLkRUTzVUOiIhIzc3JCQhMm5tbVQ5QyNlNiEjOyQiMm5tbVQ5QyNlNiEjOzckJCEuRDEqM2BpNiEjNyQiLkQxKjNgaTYhIzc3JCQhMk1MTCQqenltOyIhIzskIjJNTEwkKnp5bTsiISM7NyQkITJLTCQzTjEjNDwiISM7JCIyS0wkM04xIzQ8IiEjOzckJCEybm0iSFl0N3Y2ISM7JCIybm0iSFl0N3Y2ISM7NyQkISt4RyoqeTYhIiokIit4RyoqeTYhIio3JCQhMm5tOzlAQk09IiEjOyQiMm5tOzlAQk09IiEjOzckJCEyTExMYHYmUSg9IiEjOyQiMkxMTGB2JlEoPSIhIzs3JCQhLkRPbDU7PiIhIzckIi5ET2w1Oz4iISM3NyQkIS52LlVhYz4iISM3JCIudi5VYWM+IiEjNzckJCEjNyEiIiQiIzchIiItJSZDT0xPUkc2JiUkUkdCRyQiMidcXydlTSV5Zz4hIzwkIjFpajkuZUBSISkhIzskIjInXF8nZU0leWc+ISM8LSUqVEhJQ0tORVNTRzYjIiIjLSUqQVhFU1NUWUxFRzYjJSdOT1JNQUxHLSUoU0NBTElOR0c2IyUuVU5DT05TVFJBSU5FREctJSVST09URzYnLSUpQk9VTkRTX1hHNiMkIiRTIiEiIi0lKUJPVU5EU19ZRzYjJCIkPyIhIiItJS1CT1VORFNfV0lEVEhHNiMkIiVxUCEiIi0lLkJPVU5EU19IRUlHSFRHNiMkIiUrTyEiIi0lKUNISUxEUkVORzYi 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 UTFjdXJ2YXR1cmV+KGspfj1+NiI= JCIkeiIhIiQ= UUhSYWRpdXN+b2Z+b3NjdWxsYXRpbmd+Y2lyY2xlfj1+MS9rfi4uLj02Ig== JCIkZyYhIiM= Brand new code to deal with the center being other than "left and up". Still need to deal with der at point of interest being zero... 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