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Subsection 3.4.11 Exercises

Subsubsection Exercises for § 3.4.1

Exercises — Stage 1

1

The graph below shows three curves. The black curve is \(y=f(x)\text{,}\) the red curve is \(y=g(x)=1+2\sin(1+x)\text{,}\) and the blue curve is \(y=h(x)=0.7\text{.}\) If you want to estimate \(f(0)\text{,}\) what might cause you to use \(g(0)\text{?}\) What might cause you to use \(h(0)\text{?}\)

Exercises — Stage 2

In this and following sections, we will ask you to approximate the value of several constants, such as \(\log(0.93)\text{.}\) A valid question to consider is why we would ask for approximations of these constants that take lots of time, and are less accurate than what you get from a calculator.

One answer to this question is historical: people were approximating logarithms before they had calculators, and these are some of the ways they did that. Pretend you're on a desert island without any of your usual devices and that you want to make a number of quick and dirty approximate evaluations.

Another reason to make these approximations is technical: how does the calculator get such a good approximation of \(\log(0.93)\text{?}\) The techniques you will learn later on in this chapter give very accurate formulas for approximating functions like \(\log x\) and \(\sin x\text{,}\) which are sometimes used in calculators.

A third reason to make simple approximations of expressions that a calculator could evaluate is to provide a reality check. If you have a ballpark guess for your answer, and your calculator gives you something wildly different, you know to double-check that you typed everything in correctly.

For now, questions like Question 3.4.11.2 through Question 3.4.11.4 are simply for you to practice the fundamental ideas we're learning.

2

Use a constant approximation to estimate the value of \(\log(x)\) when \(x=0.93\text{.}\) Sketch the curve \(y=f(x)\) and your constant approximation.

(Remember that in CLP-1 we use \(\log x\) to mean the natural logarithm of \(x\text{,}\) \(\log_e x\text{.}\))

3

Use a constant approximation to estimate \(\arcsin(0.1)\text{.}\)

4

Use a constant approximation to estimate \(\sqrt{3}\tan(1)\text{.}\)

Exercises — Stage 3

5

Use a constant approximation to estimate the value of \(10.1^3\text{.}\) Your estimation should be something you can calculate in your head.

Subsubsection Exercises for § 3.4.2

Exercises — Stage 1

1

Suppose \(f(x)\) is a function, and we calculated its linear approximation near \(x=5\) to be \(f(x) \approx 3x-9\text{.}\)

  1. What is \(f(5)\text{?}\)
  2. What is \(f'(5)\text{?}\)
  3. What is \(f(0)\text{?}\)
2

The curve \(y=f(x)\) is shown below. Sketch the linear approximation of \(f(x)\) about \(x=2\text{.}\)

3

What is the linear approximation of the function \(f(x)=2x+5\) about \(x=a\text{?}\)

Exercises — Stage 2

4

Use a linear approximation to estimate \(\log(x)\) when \(x=0.93\text{.}\) Sketch the curve \(y=f(x)\) and your linear approximation.

(Remember that in CLP-1 we use \(\log x\) to mean the natural logarithm of \(x\text{,}\) \(\log_e x\text{.}\))

5

Use a linear approximation to estimate \(\sqrt{5}\text{.}\)

6

Use a linear approximation to estimate \(\sqrt[5]{30}\)

Exercises — Stage 3

7

Use a linear approximation to estimate \(10.1^3\text{,}\) then compare your estimation with the actual value.

8

Imagine \(f(x)\) is some function, and you want to estimate \(f(b)\text{.}\) To do this, you choose a value \(a\) and take an approximation (linear or constant) of \(f(x)\) about \(a\text{.}\) Give an example of a function \(f(x)\text{,}\) and values \(a\) and \(b\text{,}\) where the constant approximation gives a more accurate estimation of \(f(b)\) than the linear approximation.

9

The function

\begin{equation*} L(x)=\frac{1}{4}x+\frac{4\pi-\sqrt{27}}{12} \end{equation*}

is the linear approximation of \(f(x)=\arctan x\) about what point \(x=a\text{?}\)

Subsubsection Exercises for § 3.4.3

Exercises — Stage 1

1

The quadratic approximation of a function \(f(x)\) about \(x=3\) is

\begin{equation*} f(x) \approx -x^2+6x \end{equation*}

What are the values of \(f(3)\text{,}\) \(f'(3)\text{,}\) \(f''(3)\text{,}\) and \(f'''(3)\text{?}\)

2

Give a quadratic approximation of \(f(x)=2x+5\) about \(x=a\text{.}\)

Exercises — Stage 2

3

Use a quadratic approximation to estimate \(\log(0.93)\text{.}\)

(Remember that in CLP-1 we use \(\log x\) to mean the natural logarithm of \(x\text{,}\) \(\log_e x\text{.}\))

4

Use a quadratic approximation to estimate \(\cos\left(\dfrac{1}{15}\right)\text{.}\)

5

Calculate the quadratic approximation of \(f(x)=e^{2x}\) about \(x=0\text{.}\)

6

Use a quadratic approximation to estimate \(5^{\tfrac{4}{3}}\text{.}\)

7

Evaluate the expressions below.

  1. \(\ds\sum_{n=5}^{30} 1\)
  2. \(\ds\sum_{n=1}^{3} \left[ 2(n+3)-n^2 \right]\)
  3. \(\ds\sum_{n=1}^{10} \left[\frac{1}{n}-\frac{1}{n+1}\right]\)
  4. \(\ds\sum_{n=1}^{4}\frac{5\cdot 2^n}{4^{n+1}} \)
8

Write the following in sigma notation:

  1. \(1+2+3+4+5\)
  2. \(2+4+6+8\)
  3. \(3+5+7+9+11\)
  4. \(9+16+25+36+49\)
  5. \(9+4+16+5+25+6+36+7+49+8\)
  6. \(8+15+24+35+48\)
  7. \(3-6+9-12+15-18\)

Exercises — Stage 3

9

Use a quadratic approximation of \(f(x)=2\arcsin x\) about \(x=0\) to approximate \(f(1)\text{.}\) What number are you approximating?

10

Use a quadratic approximation of \(e^x\) to estimate \(e\) as a decimal.

11

Group the expressions below into collections of equivalent expressions.

  1. \(\ds\sum_{n=1}^{10} 2n\)
  2. \(\ds\sum_{n=1}^{10} 2^n\)
  3. \(\ds\sum_{n=1}^{10} n^2\)
  4. \(2\ds\sum_{n=1}^{10} n\)
  5. \(2\ds\sum_{n=2}^{11} (n-1)\)
  6. \(\ds\sum_{n=5}^{14} (n-4)^2\)
  7. \(\dfrac{1}{4}\ds\sum_{n=1}^{10}\left( \frac{4^{n+1}}{2^n}\right)\)

Subsubsection Exercises for § 3.4.4

Exercises — Stage 1

1

The 3rd degree Taylor polynomial for a function \(f(x)\) about \(x=1\) is

\begin{equation*} T_3(x)=x^3-5x^2+9x \end{equation*}

What is \(f''(1)\text{?}\)

2

The \(n\)th degree Taylor polynomial for \(f(x)\) about \(x=5\) is

\begin{equation*} T_n(x)=\sum_{k=0}^{n} \frac{2k+1}{3k-9}(x-5)^k \end{equation*}

What is \(f^{(10)}(5)\text{?}\)

Exercises — Stage 3

3

The 4th-degree Maclaurin polynomial for \(f(x)\) is

\begin{equation*} T_4(x)=x^4-x^3+x^2-x+1 \end{equation*}

What is the third-degree Maclaurin polynomial for \(f(x)\text{?}\)

4

The 4th degree Taylor polynomial for \(f(x)\) about \(x=1\) is

\begin{equation*} T_4(x)=x^4+x^3-9 \end{equation*}

What is the third degree Taylor polynomial for \(f(x)\) about \(x=1\text{?}\)

5

For any even number \(n\text{,}\) suppose the \(n\)th degree Taylor polynomial for \(f(x)\) about \(x=5\) is

\begin{equation*} \sum_{k=0}^{n/2} \frac{2k+1}{3k-9}(x-5)^{2k} \end{equation*}

What is \(f^{(10)}(5)\text{?}\)

6

The third-degree Taylor polynomial for \(f(x)=x^3\left[2\log x - \dfrac{11}{3}\right]\) about \(x=a\) is

\begin{equation*} T_3(x)=-\frac{2}{3}\sqrt{e^3}+3ex-6\sqrt{e}x^2+x^3 \end{equation*}

What is \(a\text{?}\)

Subsubsection Exercises for § 3.4.5

Exercises — Stage 1

1

Give the 16th degree Maclaurin polynomial for \(f(x)=\sin x+ \cos x\text{.}\)

2

Give the 100th degree Taylor polynomial for \(s(t)=4.9t^2-t+10\) about \(t=5\text{.}\)

3

Write the \(n\)th-degree Taylor polynomial for \(f(x)=2^x\) about \(x=1\) in sigma notation.

4

Find the 6th degree Taylor polynomial of \(f(x)=x^2\log x+2x^2+5\) about \(x=1\text{,}\) remembering that \(\log x\) is the natural logarithm of \(x\text{,}\) \(\log_ex\text{.}\)

5

Give the \(n\)th degree Maclaurin polynomial for \(\dfrac{1}{1-x}\) in sigma notation.

Exercises — Stage 3

6

Calculate the \(3\)rd-degree Taylor Polynomial for \(f(x)=x^x\) about \(x=1\text{.}\)

7

Use a 5th-degree Maclaurin polynomial for \(6\arctan x\) to approximate \(\pi\text{.}\)

8

Write the \(100\)th-degree Taylor polynomial for \(f(x)=x(\log x -1)\) about \(x=1\) in sigma notation.

9

Write the \((2n)\)th-degree Taylor polynomial for \(f(x)=\sin x\) about \(x=\dfrac{\pi}{4}\) in sigma notation.

10

Estimate the sum below

\begin{equation*} 1+\frac{1}{2}+\frac{1}{3!}+\frac{1}{4!}+\cdots +\frac{1}{157!} \end{equation*}

by interpreting it as a Maclaurin polynomial.

11

Estimate the sum below

\begin{equation*} \sum_{k=0}^{100}\frac{(-1)^k}{2k!}\left(\frac{5\pi}{4}\right)^{2k} \end{equation*}

by interpreting it as a Maclaurin polynomial.

Subsubsection Exercises for § 3.4.6

Exercises — Stage 1

1

In the picture below, label the following:

\begin{equation*} f(x) \qquad f\left(x+\Delta x\right) \qquad \Delta x \qquad \Delta y \end{equation*}
2

At this point in the book, every homework problem takes you about 5 minutes. Use the terms you learned in this section to answer the question: if you spend 15 minutes more, how many more homework problems will you finish?

Exercises — Stage 2

3

Let \(f(x)=\arctan x\text{.}\)

  1. Use a linear approximation to estimate \(f(5.1)-f(5)\text{.}\)
  2. Use a quadratic approximation to estimate \(f(5.1)-f(5)\text{.}\)
4

When diving off a cliff from \(x\) metres above the water, your speed as you hit the water is given by

\begin{equation*} s(x)=\sqrt{19.6x}\;\frac{\mathrm{m}}{\mathrm{sec}} \end{equation*}

Your last dive was from a height of 4 metres.

  1. Use a linear approximation of \(\Delta y\) to estimate how much faster you will be falling when you hit the water if you jump from a height of 5 metres.
  2. A diver makes three jumps: the first is from \(x\) metres, the second from \(x+\Delta x\) metres, and the third from \(x+2\Delta x\) metres, for some fixed positive values of \(x\) and \(\Delta x\text{.}\) Which is bigger: the increase in terminal speed from the first to the second jump, or the increase in terminal speed from the second to the third jump?

Subsubsection Exercises for § 3.4.7

Exercises — Stage 1

1

Let \(f(x)=7x^2-3x+4\text{.}\) Suppose we measure \(x\) to be \(x_0 = 2\) but that the real value of \(x\) is \(x_0+\Delta x\text{.}\) Suppose further that the error in our measurement is \(\Delta x = 1\text{.}\) Let \(\Delta y\) be the change in \(f(x)\) corresponding to a change of \(\Delta x \) in \(x_0\text{.}\) That is, \(\Delta y = f\left(x_0+\Delta x\right)-f(x_0)\text{.}\)

True or false: \(\Delta y = f'(2)(1)=25\)

2

Suppose the exact amount you are supposed to tip is $5.83, but you approximate and tip $6. What is the absolute error in your tip? What is the percent error in your tip?

3

Suppose \(f(x)=3x^2-5\text{.}\) If you measure \(x\) to be \(10\text{,}\) but its actual value is \(11\text{,}\) estimate the resulting error in \(f(x)\) using the linear approximation, and then the quadratic approximation.

Exercises — Stage 2

4

A circular pen is being built on a farm. The pen must contain \(A_0\) square metres, with an error of no more than 2%. Estimate the largest percentage error allowable on the radius.

5

A circle with radius 3 has a sector cut out of it. It's a smallish sector, no more than a quarter of the circle. You want to find out the area of the sector.

  1. Suppose the angle of the sector is \(\theta\text{.}\) What is the area of the sector?
  2. Unfortunately, you don't have a protractor, only a ruler. So, you measure the chord made by the sector (marked \(d\) in the diagram above). What is \(\theta\) in terms of \(d\text{?}\)
  3. Suppose you measured \(d=0.7\text{,}\) but actually \(d=0.68\text{.}\) Estimate the absolute error in your calculation of the area removed.
6

A conical tank, standing on its pointy end, has height 2 metres and radius 0.5 metres. Estimate change in volume of the water in the tank associated to a change in the height of the water from 50 cm to 45 cm.

Exercises — Stage 3

7

A sample begins with precisely 1 \(\mu\)g of a radioactive isotope, and after 3 years is measured to have 0.9 \(\mu\)g remaining. If this measurement is correct to within 0.05 \(\mu\)g, estimate the corresponding accuracy of the half-life calculated using it.

Subsubsection Exercises for § 3.4.8

Exercises — Stage 1

1

Suppose \(f(x)\) is a function that we approximated by \(F(x)\text{.}\) Further, suppose \(f(10)=-3\text{,}\) while our approximation was \(F(10)=5\text{.}\) Let \(R(x)=f(x)-F(x)\text{.}\)

  1. True or false: \(|R(10)| \leq 7\)
  2. True or false: \(|R(10)| \leq 8\)
  3. True or false: \(|R(10)| \leq 9\)
  4. True or false: \(|R(10)| \leq 100\)
2

Let \(f(x)=e^x\text{,}\) and let \(T_3(x)\) be the third-degree Maclaurin polynomial for \(f(x)\text{,}\)

\begin{equation*} T_3(x)=1+x+\frac{1}{2}x^2+\frac{1}{3!}x^3 \end{equation*}

Use Equation 3.4.33 to give a reasonable bound on the error \(|f(2)-T_3(2)|\text{.}\) Then, find the error \(|f(2)-T_3(2)|\) using a calculator.

3

Let \(f(x)= 5x^3-24x^2+ex-\pi^4\text{,}\) and let \(T_5(x)\) be the fifth-degree Taylor polynomial for \(f(x)\) about \(x=1\text{.}\) Give the best bound you can on the error \(|f(37)-T(37)|\text{.}\)

4

You and your friend both want to approximate \(\sin(33)\text{.}\) Your friend uses the first-degree Maclaurin polynomial for \(f(x)=\sin x\text{,}\) while you use the zeroth-degree (constant) Maclaurin polynomial for \(f(x)=\sin x\text{.}\) Who has a better approximation, you or your friend?

Exercises — Stage 2

5

Suppose a function \(f(x)\) has sixth derivative

\begin{equation*} f^{(6)}(x)=\dfrac{6!(2x-5)}{x+3}. \end{equation*}

Let \(T_5(x)\) be the 5th-degree Taylor polynomial for \(f(x)\) about \(x=11\text{.}\)

Give a bound for the error \(|f(11.5)-T_5(11.5)|\text{.}\)

6

Let \(f(x)= \tan x\text{,}\) and let \(T_2(x)\) be the second-degree Taylor polynomial for \(f(x)\) about \(x=0\text{.}\) Give a reasonable bound on the error \(|f(0.1)-T(0.1)|\) using Equation 3.4.33.

7

Let \(f(x)=\log (1-x)\text{,}\) and let \(T_5(x)\) be the fifth-degree Maclaurin polynomial for \(f(x)\text{.}\) Use Equation 3.4.33 to give a bound on the error \(|f\left(-\frac{1}{4}\right)-T_5\left(-\frac{1}{4}\right)|\text{.}\)

(Remember \(\log x=\log_ex\text{,}\) the natural logarithm of \(x\text{.}\))

8

Let \(f(x)=\sqrt[5]{x}\text{,}\) and let \(T_3(x)\) be the third-degree Taylor polynomial for \(f(x)\) about \(x=32\text{.}\) Give a bound on the error \(|f(30)-T_3(30)|\text{.}\)

9

Let

\begin{equation*} f(x)= \sin\left(\dfrac{1}{x}\right), \end{equation*}

and let \(T_1(x)\) be the first-degree Taylor polynomial for \(f(x)\) about \(x=\dfrac{1}{\pi}\text{.}\) Give a bound on the error \(|f(0.01)-T_1(0.01)|\text{,}\) using Equation 3.4.33. You may leave your answer in terms of \(\pi\text{.}\)

Then, give a reasonable bound on the error \(|f(0.01)-T_1(0.01)|\text{.}\)

10

Let \(f(x)=\arcsin x\text{,}\) and let \(T_2(x)\) be the second-degree Maclaurin polynomial for \(f(x)\text{.}\) Give a reasonable bound on the error \(\left|f\left(\frac{1}{2}\right)-T_2\left(\frac{1}{2}\right)\right|\) using Equation 3.4.33. What is the exact value of the error \(\left|f\left(\frac{1}{2}\right)-T_2\left(\frac{1}{2}\right)\right|\text{?}\)

Exercises — Stage 3

11

Let \(f(x)=\log(x)\text{,}\) and let \(T_n(x)\) be the \(n\)th-degree Taylor polynomial for \(f(x)\) about \(x=1\text{.}\) You use \(T_n(1.1)\) to estimate \(\log (1.1)\text{.}\) If your estimation needs to have an error of no more than \(10^{-4}\text{,}\) what is an acceptable value of \(n\) to use?

12

Give an estimation of \(\sqrt[7]{2200}\) using a Taylor polynomial. Your estimation should have an error of less than 0.001.

13

Use Equation 3.4.33 to show that

\begin{equation*} \frac{4241}{5040}\leq\sin(1) \leq\frac{4243}{5040} \end{equation*}
14

In this question, we use the remainder of a Maclaurin polynomial to approximate \(e\text{.}\)

  1. Write out the 4th degree Maclaurin polynomial \(T_4(x)\) of the function \(e^x\text{.}\)
  2. Compute \(T_4(1)\text{.}\)
  3. Use your answer from 3.4.11.14.b to conclude \(\dfrac{326}{120} \lt e \lt \dfrac{325}{119}\text{.}\)

Subsubsection Further problems for § 3.4

Exercises — Stage 1

1 (✳)

Consider a function \(f(x)\) whose third-degree Maclaurin polynomial is \(4 + 3x^2 + \frac{1}{2}x^3\text{.}\) What is \(f'(0)\text{?}\) What is \(f''(0)\text{?}\)

2 (✳)

Consider a function \(h(x)\) whose third-degree Maclaurin polynomial is \(1+4x-\dfrac{1}{3}x^2 + \dfrac{2}{3}x^3\text{.}\) What is \(h^{(3)}(0)\text{?}\)

3 (✳)

The third-degree Taylor polynomial of \(h(x)\) about \(x=2\) is \(3 + \dfrac{1}{2}(x-2) + 2(x-2)^3\text{.}\)

What is \(h'(2)\text{?}\) What is \(h''(2)\text{?}\)

Exercises — Stage 2

4 (✳)

The function \(f(x)\) has the property that \(f(3)=2,\ f'(3)=4\) and \(f''(3)=-10\text{.}\)

  1. Use the linear approximation to \(f(x)\) centred at \(x=3\) to approximate \(f(2.98)\text{.}\)
  2. Use the quadratic approximation to \(f(x)\) centred at \(x=3\) to approximate \(f(2.98)\text{.}\)
5 (✳)

Use the tangent line to the graph of \(y = x^{1/3}\) at \(x = 8\) to find an approximate value for \(10^{1/3}\text{.}\) Is the approximation too large or too small?

6 (✳)

Estimate \(\sqrt{2}\) using a linear approximation.

7 (✳)

Estimate \(\sqrt[3]{26}\) using a linear approximation.

8 (✳)

Estimate \((10.1)^5\) using a linear approximation.

9 (✳)

Estimate \(\sin\left(\dfrac{101\pi}{100}\right)\) using a linear approximation. (Leave your answer in terms of \(\pi\text{.}\))

10 (✳)

Use a linear approximation to estimate \(\arctan(1.1)\text{,}\) using \(\arctan 1 = \dfrac{\pi}{4}\text{.}\)

11 (✳)

Use a linear approximation to estimate \((2.001)^3\text{.}\) Write your answer in the form \(n/1000\) where \(n\) is an integer.

12 (✳)

Using a suitable linear approximation, estimate \((8.06)^{2/3}\text{.}\) Give your answer as a fraction in which both the numerator and denominator are integers.

13 (✳)

Find the third--order Taylor polynomial for \(f(x)=(1 - 3x)^{-1/3}\) around \(x = 0\text{.}\)

14 (✳)

Consider a function \(f(x)\) which has \(f^{(3)}(x)=\dfrac{x}{22-x^2}\text{.}\) Show that when we approximate \(f(2)\) using its second degree Taylor polynomial at \(a=1\text{,}\) the absolute value of the error is less than \(\frac{1}{50}=0.02\text{.}\)

15 (✳)

Consider a function \(f(x)\) which has \(f^{(4)}(x)=\dfrac{\cos(x^2)}{3-x}\text{.}\) Show that when we approximate \(f(0.5)\) using its third-degree Maclaurin polynomial, the absolute value of the error is less than \(\frac{1}{500}=0.002\text{.}\)

16 (✳)

Consider a function \(f(x)\) which has \(f^{(3)}(x)=\dfrac{e^{-x}}{8+x^2}\text{.}\) Show that when we approximate \(f(1)\) using its second degree Maclaurin polynomial, the absolute value of the error is less than \(1/40\text{.}\)

17 (✳)
  1. By using an appropriate linear approximation for \(f(x)=x^{1/3}\text{,}\) estimate \(5^{2/3}\text{.}\)
  2. Improve your answer in 3.4.11.17.a by making a quadratic approximation.
  3. Obtain an error estimate for your answer in 3.4.11.17.a (not just by comparing with your calculator's answer for \(5^{2/3}\)).

Exercises — Stage 3

18

The 4th degree Maclaurin polynomial for \(f(x)\) is

\begin{equation*} T_4(x)=5x^2-9 \end{equation*}

What is the third degree Maclaurin polynomial for \(f(x)\text{?}\)

19 (✳)

The equation \(y^4+xy=x^2-1\) defines \(y\) implicitly as a function of \(x\) near the point \(x=2,\ y=1\text{.}\)

  1. Use the tangent line approximation at the given point to estimate the value of \(y\) when \(x=2.1\text{.}\)
  2. Use the quadratic approximation at the given point to estimate the value of \(y\) when \(x=2.1\text{.}\)
  3. Make a sketch showing how the curve relates to the tangent line at the given point.
20 (✳)

The equation \(x^4+y+xy^4=1\) defines \(y\) implicitly as a function of \(x\) near the point \(x=-1, y=1\text{.}\)

  1. Use the tangent line approximation at the given point to estimate the value of \(y\) when \(x=-0.9\text{.}\)
  2. Use the quadratic approximation at the given point to get another estimate of \(y\) when \(x=-0.9\text{.}\)
  3. Make a sketch showing how the curve relates to the tangent line at the given point.
21 (✳)

Given that \(\log 10\approx 2.30259\text{,}\) estimate \(\log 10.3\) using a suitable tangent line approximation. Give an upper and lower bound for the error in your approximation by using a suitable error estimate.

22 (✳)

Consider \(f(x)=e^{e^x}\text{.}\)

  1. Give the linear approximation for \(f\) near \(x=0\) (call this \(L(x)\)).
  2. Give the quadratic approximation for \(f\) near \(x=0\) (call this \(Q(x)\)).
  3. Prove that \(L(x) \lt Q(x) \lt f(x)\) for all \(x \gt 0\text{.}\)
  4. Find an interval of length at most \(0.01\) that is guaranteed to contain the number \(e^{0.1}\text{.}\)