Riemann Sums & Notation - Calculus 2

  1. Which of the following summation expressions, when the limit is taken as n→∞ n \to \infty , represents ∫01e−2xdx \int_0^1 e^{-2x} dx ?
    Answer: ∑i=1ne−2i/n1n \sum_{i=1}^n e^{-2i/n} \frac{1}{n} For ∫01e−2xdx \int_0^1 e^{-2x} dx , we have a=0,b=1,f(x)=e−2x a=0, b=1, f(x)=e^{-2x} . The width of subintervals is Δx=(1−0)/n=1/n \Delta x = (1-0)/n = 1/n . Using right endpoints, xi=a+iΔx=0+i/n=i/n x_i = a + i\Delta x = 0 + i/n = i/n . The right Riemann sum is ∑i=1nf(xi)Δx=∑i=1ne−2(i/n)1n \sum_{i=1}^n f(x_i) \Delta x = \sum_{i=1}^n e^{-2(i/n)} \frac{1}{n} . This matches choice C. Choice A uses Δx=2/n \Delta x = 2/n , which would correspond to an interval of length 2. Choice B uses the function e−x e^{-x} . Choice D uses right endpoints xi+1x_{i+1} but sums from i=0i=0 which is the same as a standard right-hand sum, but has Δx=2/n\Delta x = 2/n.
  2. The expression ∑j=1412⋅h(1+j2)\sum_{j=1}^{4} \frac{1}{2} \cdot h\left(1 + \frac{j}{2}\right) represents a Riemann sum approximation. What interval and which endpoints (left, right, or midpoint) are being used?
    Answer: Interval [1,3][1, 3] using right endpoints with 4 equal subintervals When analyzing Riemann sums, you need to identify three key components: the interval being approximated, the width of each subinterval (Δx\Delta x), and which point within each subinterval is being used for the function evaluation. Let's decode this expression step by step. The factor 12\frac{1}{2} represents Δx\Delta x, so each subinterval has width 12\frac{1}{2}. With 4 subintervals (since jj runs from 1 to 4), the total interval length is 4×12=24 \times \frac{1}{2} = 2. The function evaluations occur at points 1+j21 + \frac{j}{2} where j=1,2,3,4j = 1, 2, 3, 4. This gives us evaluation points at 1.5,2,2.5,1.5, 2, 2.5, and 33. These are the endpoints of our subintervals. Since we're using 4 subintervals of width 12\frac{1}{2} starting from some point, our subintervals are: [1,1.5],[1.5,2],[2,2.5],[2.5,3][1, 1.5], [1.5, 2], [2, 2.5], [2.5, 3]. The evaluation points 1.5,2,2.5,31.5, 2, 2.5, 3 are the right endpoints of these intervals, confirming we're using right endpoints on interval [1,3][1, 3]. Choice A incorrectly identifies left endpoints. If we used left endpoints, we'd evaluate at 1,1.5,2,2.51, 1.5, 2, 2.5, not 1.5,2,2.5,31.5, 2, 2.5, 3. Choice C misidentifies the interval entirely. Choice D suggests midpoints, but midpoints of [1,1.5],[1.5,2],[2,2.5],[2.5,3][1, 1.5], [1.5, 2], [2, 2.5], [2.5, 3] would be 1.25,1.75,2.25,2.751.25, 1.75, 2.25, 2.75. Study tip: Always work backwards from the evaluation points to determine the subintervals, then check whether your points fall at the left endpoints, right endpoints, or midpoints of those intervals.
  3. For a continuous function f(x) f(x) on [a,b] [a, b] , the finite sum S=∑i=1nf(xi−1)Δx S = \sum_{i=1}^{n} f(x_{i-1}) \Delta x is known as the left-hand Riemann sum. Which change to this expression would convert it to the corresponding right-hand Riemann sum, Rn R_n ?
    Answer: Change the index of the sample point from xi−1 x_{i-1} to xi x_i . When you encounter Riemann sum questions, focus on understanding how the sample points are chosen within each subinterval. The key difference between left-hand and right-hand Riemann sums lies in where you evaluate the function within each rectangle. In a left-hand Riemann sum S=∑i=1nf(xi−1)ΔxS = \sum_{i=1}^{n} f(x_{i-1}) \Delta x, you're using the left endpoint of each subinterval as your sample point. The notation xi−1x_{i-1} indicates you're taking the function value at the beginning of the ii-th subinterval. To convert this to a right-hand Riemann sum, you simply need to evaluate the function at the right endpoint of each subinterval instead, which is represented by xix_i. This gives you Rn=∑i=1nf(xi)ΔxR_n = \sum_{i=1}^{n} f(x_i) \Delta x. Answer choice A is incorrect because xi+1x_{i+1} would represent a point outside your partition—this doesn't correspond to any standard Riemann sum. Choice B changes the summation limits, which would alter the number of rectangles and create indexing problems since x−1x_{-1} isn't defined in your partition. Choice C halves the width of each rectangle by changing Δx\Delta x, which would fundamentally change the approximation method rather than just shifting from left to right endpoints. Remember this pattern: left-hand sums use xi−1x_{i-1} (previous endpoint), right-hand sums use xix_i (current endpoint), and midpoint sums use the average of these. The summation limits and Δx=b−an\Delta x = \frac{b-a}{n} stay the same—only the sample point location changes.
  4. Let f(x) f(x) be a strictly decreasing and concave up function on the interval [a,b] [a, b] . Let Rn,Ln,Mn,Tn R_n, L_n, M_n, T_n be the right-hand, left-hand, midpoint, and trapezoidal Riemann sum approximations with n n subintervals of equal width. Which of the following inequalities must be true?
    Answer: Rn<Mn<∫abf(x)dx<Tn<Ln R_n < M_n < \int_a^b f(x) dx < T_n < L_n For a strictly decreasing function, the left-hand sum LnL_n is an overestimate and the right-hand sum RnR_n is an underestimate. Thus, Rn<∫abf(x)dx<Ln R_n < \int_a^b f(x) dx < L_n . For a concave up function, the midpoint sum MnM_n is an underestimate and the trapezoidal sum TnT_n is an overestimate. Thus, Mn<∫abf(x)dx<Tn M_n < \int_a^b f(x) dx < T_n . Combining these, we know that RnR_n and MnM_n are underestimates, while TnT_n and LnL_n are overestimates. A more detailed theorem states that for a function that is both decreasing and concave up, the approximations are ordered as follows: Rn<Mn<∫abf(x)dx<Tn<Ln R_n < M_n < \int_a^b f(x) dx < T_n < L_n .
  5. Let Sn=∑i=1n(ci+d) S_n = \sum_{i=1}^{n} (ci + d) , where c c and d d are non-zero constants. Which of the following expressions is equivalent to Sn S_n ?
    Answer: n(cn+c+2d)2 \frac{n(cn+c+2d)}{2} We use the properties of summation to split the expression: Sn=∑i=1nci+∑i=1nd S_n = \sum_{i=1}^{n} ci + \sum_{i=1}^{n} d . Then we pull out the constants: Sn=c∑i=1ni+d∑i=1n1 S_n = c\sum_{i=1}^{n} i + d\sum_{i=1}^{n} 1 . Using the standard formulas for sums, ∑i=1ni=n(n+1)2 \sum_{i=1}^{n} i = \frac{n(n+1)}{2} and ∑i=1n1=n \sum_{i=1}^{n} 1 = n . Substituting these in gives Sn=cn(n+1)2+dn S_n = c\frac{n(n+1)}{2} + dn . To combine these into a single fraction, we find a common denominator: Sn=cn(n+1)2+2dn2=cn2+cn+2dn2 S_n = \frac{cn(n+1)}{2} + \frac{2dn}{2} = \frac{cn^2 + cn + 2dn}{2} . Factoring out n n from the numerator gives Sn=n(cn+c+2d)2 S_n = \frac{n(cn+c+2d)}{2} .
  6. The velocity of a particle is given by v(t)=1/(1+t) v(t) = 1/(1+t) for t≥0 t \ge 0 . Using a left Riemann sum with three equal subintervals on [0,3] [0, 3] , what is the approximate displacement of the particle?
    Answer: 11/6 When you encounter a problem asking for displacement given velocity, you're working with the fundamental theorem of calculus: displacement equals the integral of velocity over time. Since we can't easily integrate v(t)=11+tv(t) = \frac{1}{1+t} by hand on an exam, we approximate using Riemann sums. For a left Riemann sum on [0,3][0,3] with three equal subintervals, each subinterval has width Δt=3−03=1\Delta t = \frac{3-0}{3} = 1. The subintervals are [0,1][0,1], [1,2][1,2], and [2,3][2,3]. For left Riemann sums, we evaluate the function at the left endpoint of each subinterval. The left endpoints are t=0,1,2t = 0, 1, 2, giving us: - v(0)=11+0=1v(0) = \frac{1}{1+0} = 1 - v(1)=11+1=12v(1) = \frac{1}{1+1} = \frac{1}{2} - v(2)=11+2=13v(2) = \frac{1}{1+2} = \frac{1}{3} The left Riemann sum is: Δt⋅[v(0)+v(1)+v(2)]=1⋅[1+12+13]\Delta t \cdot [v(0) + v(1) + v(2)] = 1 \cdot \left[1 + \frac{1}{2} + \frac{1}{3}\right] Converting to a common denominator: 1+12+13=66+36+26=1161 + \frac{1}{2} + \frac{1}{3} = \frac{6}{6} + \frac{3}{6} + \frac{2}{6} = \frac{11}{6} Therefore, the approximate displacement is 116\frac{11}{6}, which is answer choice D. Choice A (76\frac{7}{6}) likely comes from incorrectly adding 1+121 + \frac{1}{2} and forgetting the third term. Choice B (1312\frac{13}{12}) suggests computational errors in finding common denominators. Choice C (112\frac{11}{2}) appears to be 116\frac{11}{6} with the denominator incorrectly simplified. Remember: for left Riemann sums, always use the left endpoint of each subinterval, and double-check your fraction arithmetic—it's a common source of errors.
  7. Let Sn=∑i=1n(2in2−3n) S_n = \sum_{i=1}^n (\frac{2i}{n^2} - \frac{3}{n}) . What is the value of lim⁡n→∞Sn \lim_{n\to\infty} S_n ?
    Answer: -2 We can evaluate this limit by splitting the sum and using summation formulas, or by converting to integrals. Using summation formulas: Sn=2n2∑i=1ni−1n∑i=1n3 S_n = \frac{2}{n^2} \sum_{i=1}^n i - \frac{1}{n} \sum_{i=1}^n 3 . This becomes Sn=2n2n(n+1)2−1n(3n)=n+1n−3=1+1n−3=−2+1n S_n = \frac{2}{n^2} \frac{n(n+1)}{2} - \frac{1}{n}(3n) = \frac{n+1}{n} - 3 = 1 + \frac{1}{n} - 3 = -2 + \frac{1}{n} . Taking the limit, lim⁡n→∞(−2+1n)=−2 \lim_{n\to\infty} (-2 + \frac{1}{n}) = -2 . Alternatively, lim⁡∑2in2=lim⁡∑2(in)1n=∫012xdx=[x2]01=1 \lim \sum \frac{2i}{n^2} = \lim \sum 2(\frac{i}{n})\frac{1}{n} = \int_0^1 2x dx = [x^2]_0^1 = 1 . And lim⁡∑−3n=∫01−3dx=[−3x]01=−3 \lim \sum \frac{-3}{n} = \int_0^1 -3 dx = [-3x]_0^1 = -3 . The sum of the integrals is 1+(−3)=−2 1 + (-3) = -2 .
  8. Evaluate the geometric sum ∑k=0n−1ark \sum_{k=0}^{n-1} a r^k . This formula is used in the derivation of some Riemann sums. What is the correct closed-form expression?
    Answer: a1−rn1−r a \frac{1-r^{n}}{1-r} This is the standard formula for the sum of the first n n terms of a geometric series with first term a a and common ratio r r . The sum S=a+ar+ar2+...+arn−1 S = a + ar + ar^2 + ... + ar^{n-1} . Multiplying by r r gives rS=ar+ar2+...+arn rS = ar + ar^2 + ... + ar^n . Subtracting the two equations gives S−rS=a−arn S - rS = a - ar^n , so S(1−r)=a(1−rn) S(1-r) = a(1-r^n) . Dividing by (1−r) (1-r) yields S=a1−rn1−r S = a \frac{1-r^n}{1-r} . Distractor A uses n−1 n-1 in the exponent, which would be correct if the sum went to n−2 n-2 . Distractor B uses n+1 n+1 , which applies if the sum goes to n n .
  9. If ∫15g(x) dx=12\int_1^5 g(x) \, dx = 12 and we approximate this integral using a right Riemann sum with n=4n = 4 equal subintervals, what is the relationship between the exact value and our approximation if g(x)g(x) is strictly decreasing on [1,5][1, 5]?
    Answer: The right Riemann sum underestimates the integral by some unknown amount For a strictly decreasing function, the right endpoint of each subinterval gives the minimum value of the function on that subinterval. Therefore, the right Riemann sum will underestimate the true area under the curve. We cannot determine the exact amount of underestimation without knowing the specific function g(x). Choice A incorrectly assumes we can calculate the exact error. Choice B has the wrong direction (overestimate vs underestimate). Choice D ignores that Riemann sums are approximations.
  10. If f(x)=x3f(x) = x^3 and we want lim⁡n→∞∑i=1nf(xi∗)Δx=∫02x3 dx\lim_{n \to \infty} \sum_{i=1}^{n} f\left(x_i^*\right) \Delta x = \int_0^2 x^3 \, dx, which of the following correctly expresses this limit using right endpoints?
    Answer: lim⁡n→∞∑i=1n(2in)3⋅2n\lim_{n \to \infty} \sum_{i=1}^{n} \left(\frac{2i}{n}\right)^3 \cdot \frac{2}{n} This question tests your understanding of Riemann sums and how they connect to definite integrals. When you see a limit of a sum that equals a definite integral, you need to identify the correct partition width and sample points for the given interval. To set up a Riemann sum for ∫02x3 dx\int_0^2 x^3 \, dx using right endpoints, you need two key components. First, the partition width: since you're dividing the interval [0,2][0,2] into nn equal subintervals, Δx=2−0n=2n\Delta x = \frac{2-0}{n} = \frac{2}{n}. Second, the right endpoints: for subinterval ii, the right endpoint is xi∗=0+i⋅2n=2inx_i^* = 0 + i \cdot \frac{2}{n} = \frac{2i}{n} where ii runs from 1 to nn. The correct expression is therefore lim⁡n→∞∑i=1n(2in)3⋅2n\lim_{n \to \infty} \sum_{i=1}^{n} \left(\frac{2i}{n}\right)^3 \cdot \frac{2}{n}, which is answer D. Looking at the wrong answers: A uses the correct structure but assumes the interval is [0,1][0,1] instead of [0,2][0,2] — notice both the sample points and Δx\Delta x are missing the factor of 2. B uses the correct interval setup but runs the index from 0 to n−1n-1, which gives left endpoints instead of right endpoints. C attempts right endpoints but incorrectly uses 2(i−1)n\frac{2(i-1)}{n}, which actually gives left endpoints when ii runs from 1 to nn. Study tip: Always check both the interval length (affects Δx\Delta x) and endpoint type (affects the sample point formula). Right endpoints with index i=1i = 1 to nn use xi∗=a+i⋅Δxx_i^* = a + i \cdot \Delta x.
  11. If lim⁡n→∞∑i=1nbn(bin)2=9 \lim_{n\to\infty} \sum_{i=1}^n \frac{b}{n} \left(\frac{bi}{n}\right)^2 = 9 , where b>0 b > 0 , what is the value of b b ?
    Answer: 3 The given limit is a right Riemann sum. Let's identify the components. Let Δx=b/n \Delta x = b/n . Let the sample points be xi=bi/n x_i = bi/n . This corresponds to an integral over the interval [0,b] [0, b] . The function being summed is f(xi)=(xi)2 f(x_i) = (x_i)^2 , so f(x)=x2 f(x) = x^2 . The limit is therefore equal to the definite integral ∫0bx2dx \int_0^b x^2 dx . We are given that this integral equals 9. We evaluate the integral: ∫0bx2dx=[x33]0b=b33−0=b33 \int_0^b x^2 dx = [\frac{x^3}{3}]_0^b = \frac{b^3}{3} - 0 = \frac{b^3}{3} . Setting this equal to 9, we have b33=9 \frac{b^3}{3} = 9 , which means b3=27 b^3 = 27 . Since b b is positive, we take the real cube root to find b=3 b = 3 .
  12. The midpoint Riemann sum Mn M_n is used to approximate ∫0πsin⁡(x)dx \int_0^\pi \sin(x) dx . Which expression represents M4 M_4 ?
    Answer: π4(sin⁡(π8)+sin⁡(3π8)+sin⁡(5π8)+sin⁡(7π8)) \frac{\pi}{4} \left( \sin(\frac{\pi}{8}) + \sin(\frac{3\pi}{8}) + \sin(\frac{5\pi}{8}) + \sin(\frac{7\pi}{8}) \right) To find the midpoint sum M4 M_4 for ∫0πsin⁡(x)dx \int_0^\pi \sin(x) dx , we first find Δx=b−an=π−04=π4 \Delta x = \frac{b-a}{n} = \frac{\pi - 0}{4} = \frac{\pi}{4} . The four subintervals are [0,π/4],[π/4,π/2],[π/2,3π/4],[3π/4,π] [0, \pi/4], [\pi/4, \pi/2], [\pi/2, 3\pi/4], [3\pi/4, \pi] . The midpoints of these subintervals are x1∗=π/8,x2∗=3π/8,x3∗=5π/8,x4∗=7π/8 x_1^* = \pi/8, x_2^* = 3\pi/8, x_3^* = 5\pi/8, x_4^* = 7\pi/8 . The midpoint sum is M4=∑i=14f(xi∗)Δx=π4(sin⁡(π8)+sin⁡(3π8)+sin⁡(5π8)+sin⁡(7π8)) M_4 = \sum_{i=1}^4 f(x_i^*) \Delta x = \frac{\pi}{4} (\sin(\frac{\pi}{8}) + \sin(\frac{3\pi}{8}) + \sin(\frac{5\pi}{8}) + \sin(\frac{7\pi}{8})) . Choice B represents the left sum, Choice C represents the right sum, and Choice D is the midpoint sum for n=2n=2.
  13. If ∫abf(x)dx=L>0 \int_a^b f(x) dx = L > 0 , which of the following statements about the Riemann sum Sn=∑i=1nf(xi∗)Δx S_n = \sum_{i=1}^n f(x_i^*) \Delta x must be true?
    Answer: There exists an integer N N such that for all n>N n > N , Sn>0 S_n > 0 . The definite integral is defined as the limit of the Riemann sum: lim⁡n→∞Sn=L \lim_{n \to \infty} S_n = L . The definition of a limit states that for any ϵ>0 \epsilon > 0 , there exists an integer N N such that for all n>N n > N , ∣Sn−L∣<ϵ |S_n - L| < \epsilon . Since we are given L>0 L > 0 , we can choose ϵ=L/2 \epsilon = L/2 . Then, for n>N n > N , we have −L/2<Sn−L<L/2 -L/2 < S_n - L < L/2 , which implies L/2<Sn<3L/2 L/2 < S_n < 3L/2 . Since L>0 L > 0 , L/2>0 L/2 > 0 , so Sn>0 S_n > 0 for all sufficiently large n n . Choice A is incorrect because for small n n , the approximation Sn S_n could be negative. Choice B is incorrect because the net area can be positive even if the function is negative on some parts of the interval. Choice D is unrelated to the value of the integral.
  14. The expression 1n∑k=1n1−(k/n)2 \frac{1}{n} \sum_{k=1}^n \sqrt{1 - (k/n)^2} is a Riemann sum for a certain function on the interval [0,1] [0, 1] . The exact value of the limit of this sum as n→∞ n \to \infty corresponds to the area of which geometric shape?
    Answer: A quarter-circle with radius 1 The expression is a right Riemann sum for the integral ∫011−x2dx \int_0^1 \sqrt{1-x^2} dx . The function y=1−x2 y = \sqrt{1-x^2} is the equation of the top half of a circle centered at the origin with radius 1 (since y2=1−x2⇒x2+y2=1 y^2 = 1-x^2 \Rightarrow x^2+y^2=1 ). The interval of integration is from x=0 x=0 to x=1 x=1 . This describes the area under the curve in the first quadrant, which is a quarter of the full circle's area. Therefore, the integral represents the area of a quarter-circle with radius 1.
  15. A right Riemann sum is used to approximate ∫−22x3dx \int_{-2}^{2} x^3 dx with n=4 n=4 subintervals. What is the value of this approximation?
    Answer: 8 For the integral ∫−22x3dx \int_{-2}^{2} x^3 dx with n=4 n=4 , the width of each subinterval is Δx=2−(−2)4=1 \Delta x = \frac{2 - (-2)}{4} = 1 . The subintervals are [−2,−1],[−1,0],[0,1],[1,2][-2, -1], [-1, 0], [0, 1], [1, 2]. For a right Riemann sum, we use the right endpoints of these intervals: x1=−1,x2=0,x3=1,x4=2x_1=-1, x_2=0, x_3=1, x_4=2. The approximation is R4=∑i=14f(xi)Δx=[f(−1)+f(0)+f(1)+f(2)]⋅1 R_4 = \sum_{i=1}^4 f(x_i) \Delta x = [f(-1) + f(0) + f(1) + f(2)] \cdot 1 . With f(x)=x3 f(x) = x^3 , this is ((−1)3+03+13+23)⋅1=(−1+0+1+8)⋅1=8 ((-1)^3 + 0^3 + 1^3 + 2^3) \cdot 1 = (-1 + 0 + 1 + 8) \cdot 1 = 8 . Distractor B (0) is the exact value of the integral, a common trap. Distractor C (-8) is the value of the left Riemann sum.
  16. Let f(x)=x2+1 f(x) = x^2+1 . The interval [0,4] [0, 4] is partitioned into n=4 n=4 subintervals of equal width. What is the difference between the upper sum (circumscribed rectangles) and the lower sum (inscribed rectangles) for this partition?
    Answer: 16 When you encounter Riemann sums with upper and lower approximations, you're exploring how rectangles can bound the area under a curve. The key insight is that for increasing functions, the upper sum uses right endpoints (overestimating area) while the lower sum uses left endpoints (underestimating area). Given f(x)=x2+1f(x) = x^2 + 1 on [0,4][0,4] with n=4n=4 subintervals, each subinterval has width Δx=4−04=1\Delta x = \frac{4-0}{4} = 1. The partition points are x0=0,x1=1,x2=2,x3=3,x4=4x_0 = 0, x_1 = 1, x_2 = 2, x_3 = 3, x_4 = 4. Since f(x)=x2+1f(x) = x^2 + 1 is increasing on [0,4][0,4], the maximum value on each subinterval occurs at the right endpoint, and the minimum at the left endpoint. Upper sum: U=1⋅[f(1)+f(2)+f(3)+f(4)]=1⋅[2+5+10+17]=34U = 1 \cdot [f(1) + f(2) + f(3) + f(4)] = 1 \cdot [2 + 5 + 10 + 17] = 34 Lower sum: L=1⋅[f(0)+f(1)+f(2)+f(3)]=1⋅[1+2+5+10]=18L = 1 \cdot [f(0) + f(1) + f(2) + f(3)] = 1 \cdot [1 + 2 + 5 + 10] = 18 The difference is U−L=34−18=16U - L = 34 - 18 = 16, confirming answer D. Looking at the wrong answers: A) 32 likely comes from doubling the correct difference. B) 8 might result from using the wrong width or miscounting terms. C) 4 could arise from confusing the number of subintervals with the actual difference. Remember: for increasing functions, the upper-lower difference always equals Δx⋅[f(b)−f(a)]\Delta x \cdot [f(b) - f(a)], where [a,b][a,b] is your interval. This gives you a quick check: 1⋅[17−1]=161 \cdot [17 - 1] = 16.
  17. Consider the limit lim⁡n→∞∑i=1n2n1+(2in)2\lim_{n \to \infty} \sum_{i=1}^{n} \frac{2}{n} \sqrt{1 + \left(\frac{2i}{n}\right)^2}. This limit represents a definite integral. What are the correct limits of integration and integrand?
    Answer: ∫021+x2 dx\int_0^2 \sqrt{1 + x^2} \, dx In this Riemann sum, Δx = 2/n, so the interval length is 2. The expression 2i/n represents the right endpoint formula a + iΔx. Since the smallest value (when i=1) is 2/n ≈ 0 and the largest (when i=n) is 2, we have the interval [0,2]. The integrand is √(1 + x²) where x = 2i/n. Choice B has wrong limits. Choice C incorrectly expands (2i/n)² as 4x² instead of x². Choice D has wrong lower limit.
  18. A student writes the Riemann sum ∑k=0n−1f(−1+3kn)⋅3n\sum_{k=0}^{n-1} f\left(-1 + \frac{3k}{n}\right) \cdot \frac{3}{n} and claims it approximates ∫−12f(x) dx\int_{-1}^{2} f(x) \, dx using left endpoints. Which part of the student's work contains an error?
    Answer: The sum correctly represents a left Riemann sum for ∫−12f(x) dx\int_{-1}^{2} f(x) \, dx Let's verify: Δx = 3/n, so interval length = 3. The expression -1 + 3k/n gives left endpoints starting at -1 (when k=0) and ending at -1 + 3(n-1)/n = -1 + 3 - 3/n = 2 - 3/n. As n→∞, this approaches 2, confirming the interval is [-1,2]. The sum uses k from 0 to n-1, giving n terms total, which is correct for n subintervals. This is indeed a proper left Riemann sum for ∫₋₁² f(x)dx. The other choices identify non-existent errors.
  19. What is the exact value of lim⁡n→∞∑i=1n2n(1+in) \lim_{n\to\infty} \sum_{i=1}^n \frac{2}{n}\left(1 + \frac{i}{n}\right) ?
    Answer: 3 This limit can be evaluated in two ways. Method 1: Using summation formulas. ∑i=1n2n(1+in)=2n∑i=1n1+2n2∑i=1ni=2n(n)+2n2(n(n+1)2)=2+n+1n=2+1+1n=3+1n \sum_{i=1}^n \frac{2}{n}(1 + \frac{i}{n}) = \frac{2}{n}\sum_{i=1}^n 1 + \frac{2}{n^2}\sum_{i=1}^n i = \frac{2}{n}(n) + \frac{2}{n^2}(\frac{n(n+1)}{2}) = 2 + \frac{n+1}{n} = 2 + 1 + \frac{1}{n} = 3 + \frac{1}{n} . The limit as n→∞ n \to \infty is 3. Method 2: Converting to a definite integral. The sum can be written as 2lim⁡n→∞∑i=1n(1+in)1n 2 \lim_{n\to\infty} \sum_{i=1}^n (1 + \frac{i}{n})\frac{1}{n} . This is 2 2 times the right Riemann sum for f(x)=1+x f(x) = 1+x on [0,1] [0,1] . So the value is 2∫01(1+x)dx=2[x+x22]01=2(1+12)=3 2 \int_0^1 (1+x) dx = 2[x + \frac{x^2}{2}]_0^1 = 2(1 + \frac{1}{2}) = 3 .
  20. Let ∫abf(x)dx=L \int_a^b f(x) dx = L . Which of the following is equivalent to ∫ab(2f(x)+3)dx \int_a^b (2f(x)+3) dx in terms of L, a, and b?
    Answer: 2L+3b−3a 2L + 3b - 3a Using the properties of definite integrals, we can split the integral: ∫ab(2f(x)+3)dx=∫ab2f(x)dx+∫ab3dx \int_a^b (2f(x)+3) dx = \int_a^b 2f(x) dx + \int_a^b 3 dx . The constant can be pulled out of the first integral: 2∫abf(x)dx+∫ab3dx 2\int_a^b f(x) dx + \int_a^b 3 dx . We are given that ∫abf(x)dx=L \int_a^b f(x) dx = L . The second integral evaluates to [3x]ab=3b−3a=3(b−a) [3x]_a^b = 3b - 3a = 3(b-a) . Substituting these back gives 2L+3(b−a) 2L + 3(b-a) .

Start this quiz