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| 1. It turns out that for many functions, the limit of the Riemann sums is independent of the choice of evaluation points. Discuss why this is a somewhat surprising result. To make the result more believable, consider a
continuous function f (x). As the number of partition points gets larger, the
distance between the endpoints gets smaller. For the continuous function f (x) , explain why the difference between the
function values at any two points in a given subinterval will have to get smaller. |
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| 2. Rectangles are not the only basic geometric shapes for which we have an area formula. Discuss how you might
approximate the area under a parabola using circles or triangles. Which geometric shape do you think is the easiest to use? |
| In exercises 3-10, list the evaluation points corresponding to the midpoint of each subinterval, sketch the
function and approximating rectangles and evaluate the Riemann sum.
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| 3. f (x) = x2+1, [0, 1], n = 4
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| 4. f (x) = x2+1, [0, 2], n = 4
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| 5. f (x) = x3-1, [1, 2], n = 4
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| 6. f (x) = x3-1, [1, 3], n = 4
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| 7. f (x) = sin x, [0, ], n = 4
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| 8. f (x) = sin x, [0, ], n = 8
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| 9. f (x) = 4-x2, [-1, 1], n = 4
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| 10. f (x) = 4-x2, [-3, -1], n = 4
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| In exercises 11-26, approximate the area under the curve on the given interval using
n rectangles and the indicated evaluation rule.
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| 11. y = x2 on [0, 1], n = 8 , midpoint evaluation |
| 12. y = x2 on [0, 1], n = 8 , right-endpoint evaluation |
| 13. y = x2 on [-1, 1], n = 8 , left-endpoint evaluation |
| 14. y = x2 on [-1, 1], n = 8 , midpoint evaluation |
| 15. , midpoint evaluation |
| 16. , right-endpoint evaluation |
| 17. y = e-2x on [-1, 1], n = 16 , left-endpoint evaluation |
| 18. y = e-2x on [-1, 1], n = 16 , midpoint evaluation |
| 19. y = cos x on [0, /2], n = 50 , midpoint evaluation |
| 20. y = cos x on [0, /2], n = 100 , right-endpoint evaluation |
| 21. y = 3x-2 on [1, 4], n = 4 , midpoint evaluation |
| 22. y = 3x-2 on [1, 4], n = 40 , midpoint evaluation |
| 23. y = x3-1 on [1, 3], n = 100 , midpoint evaluation |
| 24. y = x3-1 on [1, 3], n = 100 , right-endpoint evaluation |
| 25. y = x3-1 on [-1, 1], n = 100 , left-endpoint evaluation |
| 26. y = x3-1 on [-1, 1], n = 100 , right-endpoint evaluation |
| In exercises 27-30, construct a table of Riemann sums as in
Example 3.5 to show that sums with right-endpoint, midpoint and left-endpoint evaluation all converge to the same value as n .
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| 27. f (x) = 4-x2, [-2, 2] | 28. f (x) = sin x, [0, /2] |
| 29. f (x) = x3-1, [1, 3] | 30. f (x) = x3-1, [-1, 1]
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| In exercises 31-34, use Riemann sums and a limit to compute the exact area under the curve.
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| 31. y = x2 + 2 on [0, 1] | 32. y = x2 + 3x on [0, 1] |
| 33. y = 2x2 + 1 on [1, 3] | 34. y = 4x + 2 on [1, 3]
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| In exercises 35-40, use the given
function values to estimate the area under the curve using left-endpoint and right-endpoint evaluation.
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| 35. |
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| x | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 |
| f(x) | 2.0 | 2.4 | 2.6 | 2.7 | 2.6 | 2.4 | 2.0 | 1.4 | 0.6 |
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| 36. |
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| x | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 |
| f(x) | 3.0 | 2.2 | 1.6 | 0.7 | 0.6 | 0.4 | -0.2 | 0.4 | 0.6 |
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| 37. |
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| x | 0.0 | 0.2 | 0.4 | 0.6 | 0.8 | 1.0 | 1.2 | 1.4 | 1.6 |
| f(x) | 1.0 | 1.4 | 2.1 | 2.7 | 2.6 | 2.8 | 3.0 | 3.4 | 3.6 |
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| 38. |
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| x | 0.0 | 0.2 | 0.4 | 0.6 | 0.8 | 1.0 | 1.2 | 1.4 | 1.6 |
| f(x) | 2.0 | 2.2 | 1.6 | 1.4 | 1.6 | 2.0 | 2.2 | 2.4 | 2.0 |
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| 39. |
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| x | 1.0 | 1.1 | 1.2 | 1.3 | 1.4 | 1.5 | 1.6 | 1.7 | 1.8 |
| f(x) | 1.8 | 1.4 | 1.1 | 0.7 | 1.2 | 1.4 | 1.8 | 2.4 | 2.6 |
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| 40. |
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| x | 1.0 | 1.2 | 1.4 | 1.6 | 1.8 | 2.0 | 2.2 | 2.4 | 2.6 |
| f(x) | 0.0 | 0.4 | 0.8 | 1.2 | 1.4 | 1.2 | 1.4 | 1.4 | 1.0 |
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| In exercises 41-45, graphically determine whether a Rieman sum with (a)
left-endpoint, (b) midpoint and (c) right-endpoint evaluation points will be
greater than or less than the area under the curve y = f (x) on [a, b].
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| 41. f (x) is increasing and
concave up on [a, b]. |
| 42. f (x) is increasing and
concave down on [a, b]. |
| 43. f (x) is decreasing and
concave up on [a, b]. |
| 44. f (x) is decreasing and
concave down on [a, b]. |
| 45. For the
function f (x) = x2 on the interval [0, 1] , by trial and error find evaluation points for n = 2 such that the Riemann sum equals the exact area of 2/3. |
| 46. For the
function f (x) = on the interval [0, 1] , by trial and error find evaluation points for n = 2 such that the Riemann sum equals the exact area of 2. |
| 47. Show that for right-endpoint evaluation on the interval [a, b] with each subinterval of length x = (b-a)/n , the evaluation points are ci = a+i x , for i = 1, 2, , n.
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| 48. Show that for left-endpoint evaluation on the interval [a, b] with each subinterval of length x = (b-a)/n , the evaluation points are ci = a+(i-1) x , for i = 1, 2, , n.
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| 49. As in exercises 47 and 48, find a formula for the evaluation points for midpoint evaluation. |
| 50. As in exercises 47 and 48, find a formula for evaluation points which are one-third of the way from the left-endpoint to the right-endpoint. |
| 51. Riemann sums can also be defined on irregular partitions for which subintervals are not of equal size. An example of an irregular partition of the interval [0, 1] is x0 = 0 , x1 = 0.2, x2 = 0.6, x3 = 0.9, x4 = 1. Explain why the corresponding Riemann sum would be| f (c1)(0.2)+f (c2)(0.4)+f (c3)(0.3)+f (c4)(0.1), |
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| for evaluation points c1 , c2 , c3 and c4. Identify the interval from which each ci must be chosen and give examples of evaluation points. To see why
irregular partitions might be useful, |
| consider the function
on the interval [0, 2]. One way to approximate the area under the graph of this
function is to compute Riemann sums using midpoint evaluation for n = 10 , n = 50 , n = 100 and so on. Show graphically and numerically that with midpoint evaluation, the Riemann sum with n = 2 gives the correct area on the subinterval [0, 1]. Then explain why it would be wasteful to compute Riemann sums on this subinterval for larger and larger values of n. A more efficient strategy would be to compute the areas on [0, 1] and [ 1, 2 ] separately and add them together. The area on [0, 1] can be computed exactly using a small value of n, while the area on [1, 2] must be approximated using larger and larger values of n. Use this technique to estimate the area for f (x) on the interval [0, 2]. Try to determine the area to within an error of 0.01 (discuss why you believe your answer is this accurate). |
| 52. Graph the
function f (x) = e-x2. You may recognize this curve as the so-called bell curve, which is of fundamental importance in statistics. We define the area function g(t ) to be the area between this graph and the x - axis between x = 0 and x = t (for now, assume that t > 0 ). Sketch the area that defines g(1) and g(2) and argue that g(2) > g(1). Explain why the
function g(x) is increasing and hence g' (x) > 0 for x > 0. Further, argue that g'(2) < g'(1). Explain why g' (x) is a
decreasing function. Thus, g' (x) has the same general properties (positive, decreasing) that f (x) does. In fact, we will discover in
Section 4.5 that g' (x) = f (x). To collect some evidence for this result, use Riemann sums to estimate g(2) , g(1.1) , g(1.01) and g(1). Use these values to estimate g' (1) and compare to f (1). |