#$&* course Mth 174 Question: Section 7.5 Problem 3
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Given Solution:
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23:04:39 &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Self-critique (if necessary): ------------------------------------------------ Self-critique Rating: ok problem 4th edition 7.5.13 was 7.5.10 graph concave DOWN and decreasing (note changes indicated by CAPS) **** list the approximations and their rules in order, from least to greatest
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11:18:42 YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY Your solution: Because the function is decreasing and concave down, RIGHT(n)
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Given Solution: Right: if f is decreasing Right < `intf(x) < Left Trapeziod: if f is concave down Trap < intf(x) < Mid Exact: if f is concave down Trap < intf(x) < Mid and if f is decreasing Right < `intf(x) < Left, Trap and Mid are closer approximations than right and left Mid: if f is concave down Trap < intf(x) < Mid Left: if f is decreasing Right < `intf(x) < Left
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11:18:43
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**** between which approximations does the actual integral lie?
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11:18:54 Trapeziod and midpoint
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11:18:54
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**** Explain your reasoning
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11:20:11 Because those two approximations are closer approximations than right and left, because they have some areas on both sides of the function so the spots that are over and under balance out, whereas right and left approximations do not
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11:20:12
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**** if you have not done so explain why when a function is concave down the trapezoidal rule UNDERestimates the integral
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11:26:14 Because the corners touch the points a and b, and since the curve is pushed upward, there is a gap between the curve and the trapezoid
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11:26:14
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**** if you have not done so explain why when a function is concave down the midpoint rule OVERrestimates the integral
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11:30:21 The midpoint error is less clear, but to see that one, you have to draw a line tangent to the curve at the midpoint of the interval, then by shifting the area of the rectangle that is outside this tangent to make a rectangle to form a trapezoid along this tangent, you'll see that on a concave down curve, the tangent is on top of the curve therefore having area outside the curve, producing an overestimate.
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&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Self-critique (if necessary): ------------------------------------------------ Self-critique Rating: ok **** Query temporarily dumbed out problem 7.5.18 graph positive, decreasing, concave upward over interval 0 < x < h. The trapezoidal approximation to this graph consists of 'left altitude' L1, 'right altitude' L2 and 'width' h. The 'left altitude' L1 corresponds to f(0), the value of the function at x = 0. The 'right altitude' L2 corresponds to f(h), the value of the function at x = h. The graph is decreasing so L1 > L2. The graph is concave up so it 'dips below' the trapezoidal approximation. **** why is the area of the trapezoid h (L1 + L2) / 2? (L1 + L2) / 2 is the 'average altitude', or 'midpoint altitude' of the trapezoidal approximation, and so is an approximation to the average value and midpoint value of the fucttion. Note that this is only an approximation. Since the graph is curved the 'average altitude' or 'midpoint altitude' of the trapezoid does not correspond to either the average value or the midpoint value of the function on this interval. The area of a trapezoid is the average altitude multiplied by the width of the corresponding interval. We have used trapezoidal approximation graphs since the early part of MTH 173. **** Describe how you sketched the area E = h * f(0) h * f(0) is the area of a rectangle of width h and altitude f(0), which is the 'left altitude' of the graph. Since the graph is decreasing this is an upper bound for the area beneath the curve. **** Describe how you sketched the area F = h * f(h) h * f(h) is the area of a rectangle of width h and altitude f(h), which is the 'right altitude' of the graph. Since the graph is decreasing this is a lower bound for the area beneath the curve.
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23:09:09
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**** Describe how you sketched the area R = h*f(h/2) x = 0 is the left end of the interval of the x axis, x = h the right end. h / 2 is the midpoint of the interval. f(h/2) is the 'midpoint altitude' of the actual graph. Since the graph is concave up, this 'midpoint altitude' of the actual graph is less than the 'midpoint altitude' of the trapezoidal approximation.
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**** Describe how you sketched the area C = h * [ f(0) + f(h) ] / 2 C is merely the area of the trapezoidal approximation, [ f(0) + f(h) ] / 2 being the average of the altitudes over the interval h and h being the width of the interval. **** Describe how you sketched the area N = h/2 * [ f(0) + f(h/2) ] / 2 + h/2 * [ f(h/2) } f(h) ] / 2 STUDENT SOLUTION: This is merely the sum of two areas, which makes it look like the previous graph, only it is cut in half at h/2, making it more accurate than the trap approx. INSTRUCTOR COMMENT: Right. If you take the original graph and approximate it by two trapezoids, one running from x = 0 to x = h/2 and the other from x = h/2 to x = h, the three 'graph altitudes' are f(0), f(h/2) and f(h). You get trapezoids with areas h/2 * [ f(0) + f(h/2) ] / 2 and h/2 * [ f(h/2) } f(h) ] / 2, with total area h/2 * [ f(0) + f(h/2) ] / 2 + h/2 * [ f(h/2) + f(h) ] / 2. The line segments from (0, f(0)) to (h/2, f(h/2)) to (h, f(h)) lie closer to the curve than the line segment from (0, f(0)) to (h, f(h)), so the area approximation h/2 * [ f(0) + f(h/2) ] / 2 + h/2 * [ f(h/2) } f(h) ] / 2 is closer to the actual area beneath the curve than the original area approximation h * [ f(0) + f(h) ] / 2. **** why is C = ( E + F ) / 2? Geometrically, E is the area of the 'left rectangle' and F the area of the 'right rectangle'. The trapezoid 'splits the difference' between these areas, so its area lies halfway between those of the two rectangles. (E + F) / 2 is halfway between E and F. Symbolically, E = h * f(0) and F = h * f(h) so (E + F) / 2 = (h * f(0) + h ( f(h) ) / 2 = h * ( f(0) + f(h) ) / 2, which is identical to C. **** Why is N = ( R + C ) / 2? N is an avg of the graphs of R and C. This can be observed by looking at the corresponding graphs **** Is E or F the better approximation to the area? ** F is closer. The area 'wrongly included' under the graph of E is greater than the area 'wrongly excluded' by the graph of F because the average thickness of the former region is greater than that of the latter. The upward concavity of f means that it's closer to the right-hand approximation than to the left-hand approximation for most of the interval. ** **** Is R or C the better approximation to the area? ** This is the midpoint vs. trapezoidal approximation situation again. Sketch a picture similar to that described on the preceding problem and identify the regions corresponding to 'wrongly included' and 'wrongly excluded' areas under each of the approximations. Compare the two and see if you can figure out whether the underestimate of the midpoint graph is greater or less than the overestimate of the trapezoidal graph. **
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&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Self-critique (if necessary): ------------------------------------------------ Self-critique Rating: **** query problem 7.5.22 show trap(n) = left(n) + 1/2 ( f(b) - f(a) ) ] `dx **** Explain why the equation must hold.
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YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY Your solution: LEFT(n) = (b-a)/n f(a) + f(x1) + ... + f(xn) + f(b)] TRAP(n) = (b-a)/n (f(a) + f(x1))/2 + (b-a)/n (f(x1) + f(x2))/2 + .... + (b-a)/n (f(xn) + f(b))/2 = (b-a)/n [f(a)/2 + f(b)/2 + f(x1) + ... + f(xn)] LEFT(n)- TRAP(n) = (b-a)/n (f(a)/2 + f(b)/2) TRAP(n) = LEFT(n) - (b-a)/n (f(a)/2 + f(b)/2) confidence rating #$&*: 3 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Given Solution: I understand and see that the equation does indeed work, but I am having trouble explaining why. I can picture on a graph the fact that by taking f(b) - f(a) we are taking the difference in the value of the function at points a and b. We then multiply this value by 'dx, which is determined by the number of subdivisions chosen. After doing this, we multiply by 1/2 and arrive at the value representing the area of the trapezoid. This is the best I can come up with, but I'm almost sure there is a more rigorous explanation.
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23:17:22
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&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Self-critique (if necessary): ------------------------------------------------ Self-critique Rating: ok **** Query Add comments on any surprises or insights you experienced as a result of this assignment.
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23:19:34 This was a very informative exercise, and it shows how important learning about that trapezoidal approximation graph was in early Calculus I. I am interested in seeing how f'' affects the accuracy of these techniques, or how it shows something more about them. I think I am supposed to find that out in the next assingment, according to class notes. I find this part of the course to be very interesting. I don’t know why a couple of the question came with the answer right after it, including this one. " Self-critique (if necessary): ------------------------------------------------ Self-critique rating: **** Query Add comments on any surprises or insights you experienced as a result of this assignment.
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23:19:34 This was a very informative exercise, and it shows how important learning about that trapezoidal approximation graph was in early Calculus I. I am interested in seeing how f'' affects the accuracy of these techniques, or how it shows something more about them. I think I am supposed to find that out in the next assingment, according to class notes. I find this part of the course to be very interesting. I don’t know why a couple of the question came with the answer right after it, including this one. "