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Chapter 7 Solutions

Worked solutions to all thirty problems, with the reason for each step. These explanations were added for this edition; the chapter answer key and original worked examples follow below.

Chapter problems → · Chapter answer key → · Original worked examples →

Problem 1

Original problem · added worked solution

Estimate the area under f(x)=x2 from x = 0 to x = 2 using the left corner point method of approximation and n = 2 rectangles.

Authored worked explanation for the original source problem.

  1. The width is (2−0)/2=1 and the left sample inputs are 0 and 1.

    Why: A left sum omits the rightmost endpoint.

  2. L2=1(02+12)=1.

    Why: Add width times height for each rectangle.

Reviewed answer: 1 square unit.

Takeaway: Choose the samples before evaluating heights.

Final answer

1 square unit.

Problem 2

Original problem · added worked solution

Estimate the area under f(x)=x from x = 1 to x = 4 using the right corner point method and 3 rectangles.

Authored worked explanation for the original source problem.

  1. Width is 1; right sample inputs are 2, 3, and 4.

    Why: Three equal subintervals cover [1,4].

  2. R3=1(2+3+4).

    Why: Multiply the sum of right-endpoint heights by the common width.

Reviewed answer: 2+3+2≈5.1463 square units.

Takeaway: The source's 5.15 is the result rounded to two decimals.

Final answer

2+3+2≈5.1463 square units.

Problem 3

Original problem · added worked solution

Estimate the area under the curve of y=cos(x)+2 using the midpoint method from x = 0 to x = 2π, and 4 rectangles.

Authored worked explanation for the original source problem.

  1. Width is π/2, and midpoints are π/4, 3π/4, 5π/4, and 7π/4.

    Why: Sample halfway inside each quarter of the interval.

  2. The four cosine values cancel in opposite pairs, leaving four heights' constant parts totaling 8.

    Why: The symmetry avoids separate decimal evaluations.

  3. M4=(π/2)·8=4π.

    Why: Use the interval width after summing heights.

Reviewed answer: 4π square units.

Takeaway: Periodic symmetry can simplify a numerical rule exactly.

Final answer

4π square units.

Problem 4

Original problem · added worked solution

Estimate the area under the curve of y=x4 from x = -2 to x = 2 using the method of trapezoids and 2 trapezoids for estimation.

Authored worked explanation for the original source problem.

  1. Width is 2; sampled heights at −2, 0, 2 are 16, 0, 16.

    Why: Two trapezoids need three boundary heights.

  2. T2=2(16/2+0+16/2)=32.

    Why: The two endpoint heights receive half weight.

Reviewed answer: 32 square units.

Takeaway: Interior boundaries are counted by both neighboring trapezoids.

Final answer

32 square units.

Problem 5

Original problem · added worked solution

Estimate the area between the curves y=x and y=x2 on the interval from x = 0 to x = 1 using the left corner point approximation method and 4 rectangles.

Authored worked explanation for the original source problem.

  1. On [0,1], √x is above x²; use their difference as the rectangle height.

    Why: An area between curves uses upper minus lower.

  2. With width 1/4, left inputs 0, 1/4, 1/2, 3/4 give L4=(1/4)[0+(1/2-1/16)+(2/2-1/4)+(3/2-9/16)].

    Why: Each rectangle samples the gap, not just the upper curve.

  3. This is about 0.299533, which rounds to the source's 0.3.

    Why: Keep precision until the completed sum.

Reviewed answer: 0.299533… square units.

Takeaway: Build the gap function before applying the numerical rule.

Final answer

0.299533… square units.

Problem 6

Original problem · added worked solution

Estimate the area between the curves y=ex-1-1 and y=ln(x) from x = 1 to x = 3 using the method of trapezoids and 4 polygons for approximation.

Authored worked explanation for the original source problem.

Source review note: The source gives 3.25; the four-trapezoid calculation for the printed curves gives 3.2395055…, rounding to 3.24.

  1. Let g(x)=ex-1-1-lnx; g≥0 on [1,3].

    Why: The exponential curve lies above the logarithmic curve on this interval.

  2. With width 1/2, use heights at 1, 1.5, 2, 2.5, 3 and compute T4=(1/2)[g(1)/2+g(1.5)+g(2)+g(2.5)+g(3)/2].

    Why: Half-weight the endpoints and fully weight the three interior heights.

  3. The numerical result is about 3.2395055, or 3.24 to two decimal places.

    Why: Use the printed functions and interval without changing the source record.

Reviewed answer: 3.2395055… square units.

Takeaway: Accurate table heights matter as much as choosing the right rule.

Final answer

3.2395055… square units.

Problem 7

Original problem · clarified · added worked solution

Estimate the area underneath y=-x2+2 from x = 0 to x = 2 using right corner point approximation and 8 rectangles.

Clarification: Estimate geometric area between the curve and the x-axis, using the absolute value of each right-endpoint height.

Authored worked explanation for the original source problem.

Source review note: The source gives 2.656. Neither the printed eight-rectangle right signed sum (0.8125) nor its absolute-height geometric sum (2.46875) equals that value.

  1. Width is 1/4, with right sample inputs k/4 for k=1,…,8.

    Why: The curve crosses the axis at √2, so some sampled heights are negative.

  2. The signed sum is (1/4)Σk=18[2-(k/4)2]=(1/4)(16-204/16)=13/16.

    Why: Adding negative heights estimates net signed area.

  3. For geometric area, use the absolute heights; the last three heights are −1/4, −17/16, and −2. Flipping them adds 2(1/4)(1/4+17/16+2), giving 79/32.

    Why: Geometric area cannot subtract below-axis regions.

Reviewed answer: Right signed sum 13/16=0.8125; right geometric-area sum 79/32=2.46875.

Takeaway: State whether the requested area is signed or geometric when the curve crosses the axis.

Final answer

7932=2.46875 square units.

Problem 8

Original problem · added worked solution

Estimate the area between y=-x+2 and y=x2 from x = 0 to x = 1 using the midpoint method of approximation and 4 rectangles.

Authored worked explanation for the original source problem.

Source review note: The source gives 1.27. The specified four midpoint rectangles yield exactly 75/64=1.171875.

  1. The gap is g(x)=2-x-x2 on [0,1], with width 1/4.

    Why: The line is above the parabola throughout the interval.

  2. Midpoints 1/8, 3/8, 5/8, 7/8 have gap heights 119/64, 95/64, 63/64, 23/64.

    Why: Evaluate both curves at the same midpoint.

  3. Multiply their sum by 1/4 to obtain 300/256=75/64.

    Why: Every rectangle has the common width.

Reviewed answer: 75/64=1.171875 square units.

Takeaway: Gap estimates need a midpoint in both functions.

Final answer

75/64=1.171875 square units.

Problem 9

Original problem · added worked solution

Estimate the area under the curve y=2-x from x = 0 to x = ∞ using the right corner point method and with the base of each rectangle being equal to 1.

Authored worked explanation for the original source problem.

  1. Unit widths and right inputs 1,2,… produce 1/2+1/4+1/8+….

    Why: The interval starts at zero, so the first right sample is 1.

  2. The sum through N rectangles is 1-2-N.

    Why: Multiply the finite geometric sum by 1/2 and subtract to verify the formula.

  3. As N grows, the leftover 2^(−N) tends to 0, giving 1.

    Why: This is the limit of these fixed-width rectangles, not the exact area under the curve.

Reviewed answer: 1 square unit as a rectangle-sum estimate.

Takeaway: An infinite count of fixed-width rectangles can still underestimate the exact area.

Final answer

1 square unit as a rectangle-sum estimate.

Problem 10

Original problem · clarified · added worked solution

Estimate the area under the curve y=1x2 from x = 0 to x = ∞ using the right corner point method and with the base of each rectangle being equal to 1.

Clarification: Estimate the unit-width right-rectangle sum, whose sample points are 1,2,3,… . This is a sampled estimate; the exact improper area starting at x=0 diverges.

Authored worked explanation for the original source problem.

Source review note: The source gives 1.6, a coarse right-sum estimate. The fixed-width infinite sum is about 1.6449; the improper integral from 0 is divergent, so the sum must not be presented as that exact area.

  1. Right samples give SN=Σk=1N1/k2.

    Why: The infinite height at x=0 is not a right sample, so the rectangle sum itself can be finite.

  2. For k>N, 1/[k(k+1)]<1/k2<1/[k(k-1)]; the two comparison tails telescope to 1/(N+1) and 1/N.

    Why: A telescoping comparison bounds the unknown tail without using integration from the next chapter.

  3. For N=100, S_N≈1.6349839, so 1.6448849<S∞<1.6449839.

    Why: Adding the tail bounds gives a controlled numerical estimate near 1.6449.

  4. The actual curve is unbounded at zero, so this sampled estimate alone cannot establish a finite geometric area there.

    Why: A numerical sampling scheme can miss a singular endpoint.

Reviewed answer: The unit-width right sum is about 1.6449; it does not represent a finite exact area from zero.

Takeaway: A finite sampled sum does not settle the behavior of the original area at a singular endpoint.

Final answer

The unit-width right sum is about 1.6449; it does not represent a finite exact area from zero.

Problem 11

Added problem and worked solution

Estimate the area under f(x)=x on [1,4] using three left rectangles.

Authored solution to an added practice problem.

  1. Width is 1; left samples for [1,4] with n=3 are 1,2,3.

    Why: Left sampling starts at the interval's initial endpoint.

  2. L3=1(1+2+3)=6.

    Why: The function height equals its input.

Reviewed answer: 6 square units.

Takeaway: Indexing distinguishes a left sum from a right sum.

Final answer

6 square units.

Problem 12

Added problem and worked solution

For f(x)=2-x on [0,3], use three right rectangles, compute the matching left sum, and give area bounds.

Authored solution to an added practice problem.

  1. For f=2^(−x) on [0,3], width is 1 and the right heights are 1/2,1/4,1/8.

    Why: The right sum uses inputs 1,2,3.

  2. R₃=7/8; the left heights 1,1/2,1/4 give L₃=7/4.

    Why: The same partition selects the opposite endpoints.

  3. Since the function is nonnegative and decreasing, the right sum underestimates and the left sum overestimates.

    Why: Every slice's heights lie between its endpoint heights.

Reviewed answer: R3=7/8, L3=7/4; the area lies between them.

Takeaway: Use monotonicity to turn endpoint sums into bounds.

Final answer

R3=7/8, L3=7/4; the area lies between them.

Problem 13

Added problem and worked solution

Use two midpoint rectangles to estimate the area under f(x)=x2+1 on [−1,1].

Authored solution to an added practice problem.

  1. On [−1,1] with n=2, width is 1 and the midpoints are −1/2 and 1/2.

    Why: Midpoints are centered within the two intervals.

  2. Each height is 1+(1/2)2=5/4, so M₂=5/2.

    Why: The even quadratic has matching heights at opposite samples.

Reviewed answer: 5/2=2.5 square units.

Takeaway: Symmetry can simplify a midpoint sum.

Final answer

5/2=2.5 square units.

Problem 14

Added problem and worked solution

Use three trapezoids for f(x)=2x+3 on [−1,2]. Explain why the result is exact.

Authored solution to an added practice problem.

  1. For f=2x+3 on [−1,2], three trapezoids have width 1 and boundary heights 1,3,5,7.

    Why: The vertical shift keeps all heights positive.

  2. T₃=1(1/2+3+5+7/2)=12.

    Why: Endpoints have half weight.

  3. A line's graph is the exact sloping top of each trapezoid.

    Why: No curved gap remains above or below those tops.

Reviewed answer: 12 square units, exactly.

Takeaway: Trapezoids exactly fill a region under a linear function.

Final answer

12 square units, exactly.

Problem 15

Added problem and worked solution

For a decreasing nonnegative function, explain which equal-width rectangle estimate is larger than the true area: left or right?

Authored solution to an added practice problem.

  1. On each subinterval of a decreasing nonnegative graph, the left height is the largest and the right height the smallest.

    Why: Every other height lies between those boundary values.

  2. Each left rectangle contains that slice's region, while each right rectangle fits inside it.

    Why: Adding the slice comparisons preserves the inequality.

Reviewed answer: Left is an overestimate and right an underestimate.

Takeaway: Monotonicity determines the direction of endpoint-sampling error.

Final answer

Left is an overestimate and right an underestimate.

Problem 16

Added problem and worked solution

At x=0,1,2,3 a table gives f=2,4,8,10. Assume f is nonnegative and increasing. Find left/right sums and area bounds on [0,3].

Authored solution to an added practice problem.

  1. The width is 1. Left heights are 2,4,8; right heights are 4,8,10.

    Why: Use the table's ordered boundary values.

  2. The sums are 14 and 22, and monotonic increase makes them lower and upper bounds.

    Why: The added monotonicity assumption bounds unsampled heights.

Reviewed answer: L3=14, R3=22, and geometric area lies between 14 and 22.

Takeaway: A table needs a shape assumption to turn samples into guaranteed bounds.

Final answer

L3=14, R3=22, and geometric area lies between 14 and 22.

Problem 17

Added problem and worked solution

A table gives (x,f(x))=(0,2),(1,4),(3,8). Estimate its area with a trapezoid on each interval.

Authored solution to an added practice problem.

  1. On [0,1], the trapezoid contributes 1(2+4)/2=3.

    Why: Its width is 1.

  2. On [1,3], it contributes 2(4+8)/2=12, so the total is 15.

    Why: Use each interval's own width rather than a single uniform Δx.

Reviewed answer: 15 square units.

Takeaway: Nonuniform data require local widths.

Final answer

15 square units.

Problem 18

Added problem and worked solution

Use two midpoint rectangles for the area between y=3 and y=x2 on [0,1].

Authored solution to an added practice problem.

  1. The upper curve is y=3 and the lower is y=x², so the gap is 3−x² on [0,1].

    Why: Use a common input for both boundary curves.

  2. With two rectangles, width 1/2 and midpoints 1/4,3/4, the gap heights are 47/16 and 39/16.

    Why: The samples stay halfway inside each interval.

  3. The estimate is (1/2)(47/16+39/16)=43/16.

    Why: Multiply by width only after adding both gap heights.

Reviewed answer: 43/16=2.6875 square units.

Takeaway: Build the gap before sampling it.

Final answer

43/16=2.6875 square units.

Problem 19

Added problem and worked solution

A function is nonnegative and concave up on an interval. Explain whether its trapezoidal estimate lies above or below the exact area.

Authored solution to an added practice problem.

  1. For a concave-up graph, each chord lies above or on the graph.

    Why: The slope increases, so the graph bends below its joining secant line.

  2. Each trapezoid fills up to the chord and therefore contains the curve's slice.

    Why: Sum the slice inequalities across the interval.

Reviewed answer: The trapezoidal estimate is an overestimate.

Takeaway: Concavity predicts a trapezoid error's sign.

Final answer

The trapezoidal estimate is an overestimate.

Problem 20

Added problem and worked solution

Use two midpoint rectangles for f(x)=4-x2 on [0,2]. Explain the error direction using concavity.

Authored solution to an added practice problem.

  1. For f(x)=4-x2 on [0,2], the graph is concave down.

    Why: Its second derivative is −2.

  2. With two rectangles, width 1 and midpoints 1/2,3/2 give M2=15/4+7/4=11/2.

    Why: The midpoint samples sit high relative to each interval's average height.

  3. The tangent-line symmetry around each midpoint bounds the curve below those midpoint rectangles in total.

    Why: A concave-down curve lies below its midpoint tangent, whose odd linear change cancels over a symmetric interval.

Reviewed answer: M2=11/2 square units; an overestimate for this concave-down graph.

Takeaway: Concavity can determine the error direction without evaluating an integral.

Final answer

M2=11/2 square units; an overestimate for this concave-down graph.

Problem 21

Added problem and worked solution

At x=0,1,2,3 a table gives f=0,−2,1,1. On [0,3], find the signed right sum and the right estimate of geometric area.

Authored solution to an added practice problem.

  1. Width is 1 and the right heights are −2,1,1, giving −2+1+1=0.

    Why: Negative height contributes negatively to net signed area.

  2. For a geometric-area estimate use 2,1,1, yielding 4.

    Why: Replace sampled negative heights by their absolute values.

Reviewed answer: Signed right sum 0; absolute-height right sum 4.

Takeaway: Cancellation can hide a nonzero geometric region.

Final answer

Signed right sum 0; absolute-height right sum 4.

Problem 22

Added problem and worked solution

Compare left sums with n=2 and n=4 for f(x)=x3 on [0,2]. Why does the second estimate increase?

Authored solution to an added practice problem.

  1. For f=x³ on [0,2], n=2 gives width 1 and heights 0,1, so L₂=1.

    Why: The function is increasing and nonnegative.

  2. With n=4, width 1/2 and left heights 0,1/8,1,27/8 give L₄=9/4.

    Why: Narrower left rectangles fill more of each increasing slice.

Reviewed answer: L2=1, L4=9/4; both underestimate.

Takeaway: Refining this increasing function raises its lower estimate.

Final answer

L2=1, L4=9/4; both underestimate.

Problem 23

Added problem and worked solution

For f(x)=x on [0,1], write Rₙ using Σk=1nk=n(n+1)/2 and find its limit.

Authored solution to an added practice problem.

  1. Width is 1/n, and the kth right height is k/n, giving Rn=(1/n2)Σk=1nk.

    Why: Separate the sample height from the rectangle width.

  2. Use Σk=n(n+1)/2 to get the formula, which tends to 1/2.

    Why: The limiting rectangle sum gives the area as widths approach zero.

Reviewed answer: Rn=(n+1)/(2n); limiting area 1/2.

Takeaway: A finite arithmetic sum can describe every resolution at once.

Final answer

Rn=(n+1)/(2n); limiting area 1/2.

Problem 24

Added problem and worked solution

Compute left, right, midpoint, and trapezoidal estimates with n=2 for f(x)=1/(1+x) on [0,2].

Authored solution to an added practice problem.

  1. For f=1/(1+x) on [0,2], width is 1. Boundary heights are 1,1/2,1/3, so L₂=3/2 and R₂=5/6.

    Why: The decreasing shape makes the left sum larger.

  2. Midpoint heights at 1/2 and 3/2 are 2/3 and 2/5, giving M₂=16/15.

    Why: Midpoints differ from the boundary samples.

  3. T₂=1/2+1/2+1/6=7/6.

    Why: Half-weight endpoints and fully weight the interior boundary.

Reviewed answer: L2=3/2, R2=5/6, M2=16/15, T2=7/6.

Takeaway: The same partition compares sampling rules across a curved function.

Final answer

L2=3/2, R2=5/6, M2=16/15, T2=7/6.

Problem 25

Added problem and worked solution

Find all antiderivatives of 6x2-4.

Authored solution to an added practice problem.

  1. Increase the exponent in 6x² to 3 and divide its coefficient by 3, giving 2x³.

    Why: Differentiating reverses the inverse power step.

  2. The constant −4 has primitive −4x, and an arbitrary C contributes zero derivative.

    Why: Every constant shift has the same derivative.

Reviewed answer: F(x)=2x3-4x+C.

Takeaway: An antiderivative is a family until extra data fix its constant.

Final answer

F(x)=2x3-4x+C.

Problem 26

Added problem and worked solution

Find an antiderivative of sin(3x) and check it.

Authored solution to an added practice problem.

  1. Differentiating cos(3x) gives −3sin(3x).

    Why: The inside derivative supplies a factor 3.

  2. Multiply by −1/3 so the derivative becomes exactly sin(3x).

    Why: Undo the chain multiplier rather than multiplying by it again.

Reviewed answer: -(1/3)cos(3x)+C.

Takeaway: Check a proposed primitive by differentiation.

Final answer

-(1/3)cos(3x)+C.

Problem 27

Added problem and worked solution

Find F if F′(x)=2x and F(1)=6.

Authored solution to an added practice problem.

  1. All primitives of 2x are x²+C.

    Why: The derivative of any constant is zero.

  2. F(1)=6 gives 1+C=6, so C=5.

    Why: The extra point selects one member of the family.

Reviewed answer: F(x)=x2+5.

Takeaway: One initial value determines the additive constant.

Final answer

F(x)=x2+5.

Problem 28

Added problem and worked solution

A student proposes (1/2)sin(2x) as an antiderivative of 2cos(2x). Check and correct it.

Authored solution to an added practice problem.

  1. Differentiate (1/2)sin(2x): the chain factor 2 cancels the 1/2, leaving cos(2x).

    Why: The derivative check exposes the missing coefficient.

  2. For the stated integrand, sin(2x)+C differentiates to 2cos(2x).

    Why: Match the entire integrand, not just its function type.

Reviewed answer: The proposed function differentiates to cos(2x); a primitive of 2cos(2x) is sin(2x)+C.

Takeaway: Differentiation is the quickest primitive check.

Final answer

The proposed function differentiates to cos(2x); a primitive of 2cos(2x) is sin(2x)+C.

Problem 29

Added problem and worked solution

A velocity table gives 2,6,14 m/s at t=0,1,2 s. Use trapezoids to estimate the displacement over the two seconds.

Authored solution to an added practice problem.

  1. For times 0,1,2 seconds and velocities 2,6,14 m/s, each interval has width 1 s.

    Why: Multiplying time by velocity gives displacement units.

  2. T2=1[(2+6)/2+(6+14)/2]=4+10=14 m.

    Why: Average neighboring velocities on each interval.

Reviewed answer: Estimated displacement 14 m.

Takeaway: Area estimates can estimate accumulated change, with units explaining why.

Final answer

Estimated displacement 14 m.

Problem 30

Added problem and worked solution

For the infinite unit-width right rectangle sum of 2-x from zero, how many rectangles make its remaining tail less than 0.01?

Authored solution to an added practice problem.

  1. For f=2^(−x) with unit-width right rectangles from zero, the sum through N is 1−2^(−N), so the remaining tail is 2^(−N).

    Why: The same geometric ratio controls every leftover block.

  2. Require 2-N<0.01; N=6 gives 1/64>0.01, while N=7 gives 1/128<0.01.

    Why: Check neighboring integers to find the first sufficient rectangle count.

Reviewed answer: After 7 right rectangles; the remaining tail is 1/128<0.01.

Takeaway: A known tail formula makes an approximation tolerance concrete.

Final answer

After 7 right rectangles; the remaining tail is 1/128<0.01.

Chapter answer key and worked steps

Answers and worked steps for the original problems, including verified corrections where needed.

  1. Original short answer

    1
    Problem 1 →
  2. Original short answer

    5.15
    Problem 2 →
  3. Original short answer

    4π
    Problem 3 →
  4. Original short answer

    32
    Problem 4 →
  5. Original short answer

    0.3
    Problem 5 →
  6. Corrected answer

    3.2395055… square units.
    Problem 6 →
  7. Corrected answer

    7932=2.46875 square units.
    Problem 7 →
  8. Corrected answer

    75/64=1.171875 square units.
    Problem 8 →
  9. Original short answer

    1
    Problem 9 →
  10. Checked answer

    The unit-width right sum is about 1.6449; it does not represent a finite exact area from zero.
    Problem 10 →

Read the chapter answer key in the book →

Source worked examples

These are the book’s example problems and worked steps, with the original explanations.

Example Problem 7.1.1

Rectangular Methods →

Find the area under the function f(x)=x2 from x = 0 to x = 1 using 4 rectangles and the left corner point approximation method.

We have 4 rectangles and the interval of interest is from x = 0 to x = 1. That means that each rectangle has a base of 1-04 , or 0.25. Since we are using left corner point approximation, the y-values where the rectangles touch the curve will be f(0), f(0.25), f(0.5), and f(0.75). These are our heights, so let’s add them up!

dddArea=(0.25)f(0)+(0.25)f(0.25)+(0.25)f(0.50)+(0.25)f(0.75)

Area=0+(0.25)(0.0625)dd+(0.25)(0.25)+(0.25)(0.5625)=0.21875

The real answer is 13 , so we are a little ways off. Since y=x2 is an increasing function, we underestimated it with the left-point method.

Interactive 7.1.1 Example Problem 7.1.1

Interactive 7.1.1 Example Problem 7.1.1
Read all original figure notes

Left corner points

Our first rectangle had a height of 0, so it is not shown here, but notice that our rectangles all have the same base, and their heights are calculated such that their left corner point touches the graph.

Large amount of white space

The large amount of white space indicates the area under the graph that was not taken into account by our approximation method. Since the area is really large, our final value’s accuracy ended up being really low.

Return to the original example →

Example Problem 7.1.2

Rectangular Methods →

Find the area under the function f(x)=x2 from x = 0 to x = 1 using 8 rectangles and the right corner point approximation method.

Here, we have the same function, but using a different method of approximation, and a higher number of rectangles. We undershot the approximation the first time, so you can imagine that with the right corner point method, we will get an overestimated figure.

The interval is still 0 to 1, but this time we are working with 8 rectangles, so each rectangle’s base is 18 of a unit wide, or 0.125.

Since we are using the right corner point method this time, each rectangle’s height will start at the first value of dx, and end at 1. The sum of the areas of each of our rectangles would look like the following:

Area=(0.125)⋅[f(0.125)+f(0.25)dd+f(0.375)+f(0.5)+f(0.625)+f(0.75)+f(0.875)+f(1)]

What we did here is factor out 0.125 using the distributive property because it was a common multiplier among all the terms. Now we can just substitute the function values inside the parentheses.

Area=(0.125)⋅[(0.125)2+(0.25)2dddd+(0.375)2+(0.5)2+(0.625)2dd+(0.75)2+(0.875)2+(1)2]

=0.125⋅(3.1875)

=0.3984

Interactive 7.1.2 Example Problem 7.1.2

Interactive 7.1.2 Example Problem 7.1.2
Read all original figure notes

More Rectangles

For x² on [0,1], the exact integral is 1/3. Four right-endpoint rectangles give 15/32, with relative error 13/32 = 40.625%. Eight give 51/128, with relative error 25/128 = 19.53125%. Refining this same interval improves this example; the claim of more than 50% error with four rectangles was incorrect.

Same Base

Since the rectangles have the same base (width), we can factor out the 0.125 out of the calculation like we did, using the distributive property.

Right corner points

Although the graph seems invisible, the right corner points of each rectangle coincide with points on the graph.

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Example Problem 7.2.1

Midpoint Method →

With the midpoint method, estimate the area under the curve of y=x2 from x = 0 to x = 1 using 3 rectangles.

Our x-values range from 0 to 1, and we have 3 rectangles, giving us a base of (1-0)3=13.

Our first point this time is not f(0) or f(13), but in between those two, f(16).

Using the midpoint approximation method of rectangles, this gives us an area of the following:

Area=13⋅[f(16)+f(36)+f(56)]

A=13(136+936+2536)

A=35108≈0.324074 square units.

Interactive 7.2.1 Example Problem 7.2.1

Interactive 7.2.1 Example Problem 7.2.1
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The Midpoint

Each rectangle’s height is the curve value at the midpoint of its subinterval. For x² on [0,1] with three equal rectangles, the sum is 35/108 ≈ 0.324074. It is closer to the exact 1/3 than the corresponding three-rectangle left or right sum. That comparison is for this example, not a rule that midpoint always wins.

What if we just used one rectangle?

One midpoint rectangle on [0,1] has height f(1/2) = 1/4 and width 1, so M₁ = 0.25. Its relative error from 1/3 is 25%. Keeping the same interval and using three midpoint rectangles gives M₃ = 35/108 ≈ 0.324074, with relative error 1/36 ≈ 2.78%. The earlier 0.407 value was an arithmetic error.

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Example Problem 7.2.2

Midpoint Method →

Find the area under the curve y=x3 from x = 1 to x = 2 using the midpoint method and just one rectangle.

This one is too easy, but it is meant to illustrate a point. Our rectangle’s base is just 1, starting from x = 1. Its midpoint lies on x = 1.5. The value of the function at that point is f(1.5)=1.53=3.375. This is our height, and remember our base is just 1, so

Area=3.375 units2

Interactive 7.2.2 Example 7.2.2

Interactive 7.2.2 Example 7.2.2
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Overestimated Area

We can see that part of the rectangle overestimates the area by going beyond the curve. The graph is made translucent here so that we can see the difference more clearly.

Underestimated area

The excess area on one side partly offsets the missing area on the other, but they do not cancel exactly. For x³ on [1,2], this one midpoint rectangle gives (3/2)³ · 1 = 27/8 = 3.375. The exact integral is 15/4 = 3.75, so the estimate is low by 3/8, or 10%.

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Example Problem 7.3.1

Trapezoidal Method →

Using the trapezoidal method and n = 3, find the area under the curve y=x2 from x = 0 to x = 1

The unique thing about this method is that it uses every iteration starting from f(xinitial) to f(xfinal) , so we are going to be using f(0) as well as f(1) , unlike the corner point methods. Unlike the midpoint method, we do not have to worry about starting in the middle. We start at the beginning of our interval, end at the end, and go up by dx each time.

Similar to an example problem we have done before, this time our interval is 13 because we have three trapezoids over 1 unit of x-values. We start with our first trapezoid which has one base of f(0) and another base of f(0.33). Its “height,” or dx , is 13.

Since all trapezoids will have the same “height,” we can factor out the 13, similar to other approximation methods, and then just worry about the bases. Following this method, our area looks something like this

Area=h⋅(b1+b22+b2+b32+b3+b42)​
Area=13⋅(f(0)+f(0.33)2+f(0.33)+f(0.66)2

+f(0.66)+f(1)2)

Area=13⋅(0+192+19+492+49+12)

You will find that it is actually easier to keep track of things in terms of fractions rather than decimals, but it is up to personal preference.

Area=13⋅(118+118+418+418+918)

Area=1954

Feel free to convert that answer into decimal form on your calculator and prepare to be amazed! That answer is within 6% of the real value!!! Not only that, if we were to increase the number of trapezoids, its accuracy will just get sharper and sharper. On the next page is an interactive image explaining the concept visually.

Interactive 7.3.1 Example Problem 7.3.1

Interactive 7.3.1 Example Problem 7.3.1
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Compare the actual errors

For x² on [0,1] with three equal subintervals, the trapezoidal sum is T₃ = 19/54, an overestimate of 1/3 by 1/54. The midpoint sum is M₃ = 35/108, an underestimate by 1/108, so midpoint is closer in this example. A concave-down function gives a trapezoidal underestimate; concave up gives an overestimate.

The height

Remember that since we have rotated our trapezoid by 90 degrees, the height is now measured in the x-direction, as you can see here.

The base

Each vertical line represents a base of some trapezoid. Notice that b1 of one trapezoid is equal to b2 of another trapezoid since they are adjacent to each other.

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Example Problem 7.4.1

FFR - Anti-derivatives →

What is the anti-derivative of y=sin(x) at x=π2, provided there is no constant in the original function?

Remember, sin(x) and cos(x) are the trigonometric derivatives that go around in a circle. Now we are just going the opposite way in the circle. Our function’s anti-derivative is y=-cos(x). Using this information, we know that -cos(π2)=0

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Example Problem 7.4.2

FFR - Anti-derivatives →

What is the anti-derivative of y=4x3+1x+secxtanx ? Assume the constant term is equal to c.

Many of these should seem familiar to you. Using the anti-Power Rule, we get that the anti-derivative of 4x3 is x4. The anti-derivative of the second term is the famous natural log function, ln(x). The anti-derivative of the third term is a famous trigonometric function, sec(x). Our final answer is

y=x4+ln(x)+sec(x)+c

Why do you think there is a “c” at the end? The answer is because the derivative of a constant is 0. The constant term can equal anything, but it must be present in order for the anti-derivative to be complete. This is the most common mistake among almost all students. They forget the c-term.

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Example Problem 7.4.3

FFR - Anti-derivatives →

What is the anti-derivative of sin(4x)? Do not forget the constant term!

Whenever our inside function is not just plain x, we have to take into account its derivative because of the chain rule. Remember that? The derivative of the outside function times the derivative of the inside function.

​
With anti-derivatives, it is a little different. We do not multiply by the derivative of the inside function, but divide by it. Our anti-derivative ends up being:

 

-cos(4x)4+c​

 

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