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Solutions A Answers to Odd Exercises

1 Limits

1.1 An Introduction To Limits

1.1.3 Exercises

Terms and Concepts

1.1.3.3.
Answer.
Solution.

False: the limit considers values of \(x\) near to \(5\text{,}\) but not equal to \(5\text{.}\)

Problems

1.1.3.7.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({x^{2}+2x+2}\)
\(0.9\) \({4.61}\)
\(0.99\) \({4.9601}\)
\(0.999\) \({4.996}\)
\(1.001\) \({5.004}\)
\(1.01\) \({5.0401}\)
\(1.1\) \({5.41}\)

For a graphical approximation:

It appears that when \(x\) is close to \(1\text{,}\) that \({x^{2}+2x+2}\) is close to \({5}\text{.}\) So \(\lim_{x\to 1}\left({x^{2}+2x+2}\right)={5}\text{.}\)

1.1.3.9.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({\frac{x-5}{x^{2}-4x}}\)
\(-0.1\) \({-12.439}\)
\(-0.01\) \({-124.938}\)
\(-0.001\) \({-1249.94}\)
\(0.001\) \({1250.06}\)
\(0.01\) \({125.063}\)
\(0.1\) \({12.5641}\)

For a graphical approximation:

It appears that when \(x\) is close to \(0\text{,}\) that \({\frac{x-5}{x^{2}-4x}}\) grows without bound. So \(\lim_{x\to 0}\left({\frac{x-5}{x^{2}-4x}}\right)\) does not exist (DNE).

1.1.3.11.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\)
\(-3.1\) \({-3.54545}\)
\(-3.01\) \({-3.9505}\)
\(-3.001\) \({-3.995}\)
\(-2.999\) \({-4.00501}\)
\(-2.99\) \({-4.05051}\)
\(-2.9\) \({-4.55556}\)

For a graphical approximation:

It appears that when \(x\) is close to \(-3\text{,}\) that \({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\) is close to \({-4}\text{.}\) So \(\lim_{x\to -3}\left({\frac{x^{2}+10x+21}{x^{2}+5x+6}}\right)={-4}\text{.}\)

1.1.3.13.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({\begin{cases}\displaystyle{x+1}\amp \text{if}\ x \le -1\cr \displaystyle{-\left(3x+4\right)}\amp \text{if}\ x > -1\end{cases}}\)
\(-1.1\) \({-0.1}\)
\(-1.01\) \({-0.01}\)
\(-1.001\) \({-0.001}\)
\(-0.999\) \({-1.003}\)
\(-0.99\) \({-1.03}\)
\(-0.9\) \({-1.3}\)

For a graphical approximation:

It appears that when \(x\) is close to \(-1\text{,}\) that \(f(x)\) approaches different values from the left and right. So \(\lim_{x\to -1}f(x)\) does not exist.

1.1.3.15.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({\begin{cases}\displaystyle{\cos\!\left(x\right)}\amp \text{if}\ x \le 0\cr \displaystyle{x^{2}+2x+1}\amp \text{if}\ x > 0\end{cases}}\)
\(-0.1\) \({0.995004}\)
\(-0.01\) \({0.99995}\)
\(-0.001\) \({1}\)
\(0.001\) \({1.002}\)
\(0.01\) \({1.0201}\)
\(0.1\) \({1.21}\)

For a graphical approximation:

It appears that when \(x\) is close to \(0\text{,}\) that \(f(x)\) approaches 1. So \(\lim_{x\to 0}f(x)={1}\text{.}\)

1.1.3.17.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \({\left|x\right|^{x}}\)
\(-0.1\) \({1.25893}\)
\(-0.01\) \({1.04713}\)
\(-0.001\) \({1.00693}\)
\(0.001\) \({0.993116}\)
\(0.01\) \({0.954993}\)
\(0.1\) \({0.794328}\)

For a graphical approximation:

It appears that when \(x\) is close to \(0\text{,}\) that \(\lvert x \rvert^x\) is close to \(1\text{.}\) So \(\lim_{x\to 0}\lvert x\rvert^x=1\text{.}\)

1.1.3.19.
Answer.
Solution.

For a numerical approximation, make a table:

\(x\) \(\big\lfloor\lvert x\rvert\big\rfloor !\)
\(-5.1\) \(120\)
\(-5.01\) \(120\)
\(-5.001\) \(120\)
\(-4.999\) \(24\)
\(-4.99\) \(24\)
\(-4.9\) \(24\)

For a graphical approximation:

It appears that when \(x\) is close to \(-5\text{,}\) that \(\big\lfloor\lvert x\rvert\big\rfloor !\) approaches different values from the left and right. So

\begin{equation*} \lim_{x\to-5}\big\lfloor\lvert x\rvert\big\rfloor !\text{ does not exist (DNE).} \end{equation*}
1.1.3.21.
Answer.
Solution.
\(h\) \(\frac{f(a+h)-f(a)}{h}\)
\(-0.1\) \({-7}\)
\(-0.01\) \({-7}\)
\(0.01\) \({-7}\)
\(0.1\) \({-7}\)

\(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}=\)-7.

1.1.3.23.
Answer.
Solution.
\(h\) \(\frac{f(a+h)-f(a)}{h}\)
\(-0.1\) \({4.9}\)
\(-0.01\) \({4.99}\)
\(0.01\) \({5.01}\)
\(0.1\) \({5.1}\)

It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={5}\text{.}\)

1.1.3.25.
Answer.
Solution.
\(h\) \(\frac{f(a+h)-f(a)}{h}\)
\(-0.1\) \({29.4}\)
\(-0.01\) \({29.04}\)
\(0.01\) \({28.96}\)
\(0.1\) \({28.6}\)

It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={29}\text{.}\)

1.1.3.27.
Answer.
Solution.
\(h\) \(\frac{f(a+h)-f(a)}{h}\)
\(-0.1\) \({-0.998334}\)
\(-0.01\) \({-0.999983}\)
\(0.01\) \({-0.999983}\)
\(0.1\) \({-0.998334}\)

It appears that \(\lim\limits_{h\to0}\frac{f(a+h)-f(a)}{h}={-1}\text{.}\)

1.2 Epsilon-Delta Definition of a Limit

Exercises

Terms and Concepts
1.2.1.
Solution.

\(\varepsilon\) should be given first, and the restriction \(\abs{x-a}\lt \delta\) implies \(\abs{f(x)-K}\lt\varepsilon\text{,}\) not the other way around.

Problems
1.2.5.
Solution.

Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(|x-4|\lt \delta\text{,}\) \(\abs{f(x)-13}\lt \epsilon\text{.}\)

Consider \(\abs{f(x)-13}\lt \varepsilon\text{:}\)

\begin{equation*} \begin{gathered} \abs{f(x) -13} \lt \varepsilon\\ \abs{(2x+5)-13}\lt \varepsilon\\ \abs{2x-8} \lt \varepsilon\\ 2\abs{x-4} \lt \varepsilon\\ -\varepsilon/2 \lt x-4 \lt \varepsilon/2\text{.} \end{gathered} \end{equation*}

This implies we can let \(\delta =\varepsilon/2\text{.}\) Then:

\begin{equation*} \begin{gathered} \abs{x-4}\lt \delta\\ -\delta \lt x-4 \lt \delta\\ -\varepsilon/2 \lt x-4 \lt \varepsilon/2\\ -\varepsilon \lt 2x-8 \lt \varepsilon\\ -\varepsilon \lt (2x+5)-13 \lt \varepsilon\\ \abs{(2x+5) - 13} \lt \epsilon\text{,} \end{gathered} \end{equation*}

which is what we wanted to prove.

1.2.7.
Solution.

Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-3}\lt\delta\text{,}\) \(\abs{f(x)-6}\lt\varepsilon\text{.}\)

First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-6}\lt\varepsilon\text{:}\)

\begin{equation*} \begin{aligned} \abs{\left(x^2-3\right)-6}\amp\lt\varepsilon\\ \abs{x^2-9}\amp\lt\varepsilon\\ \abs{x-3}\cdot\abs{x+3}\amp\lt\varepsilon\\ \abs{x-3}\amp\lt\frac{\varepsilon}{\abs{x+3}} \end{aligned} \end{equation*}

Since \(x\) is near \(3\text{,}\) we can safely assume that, for instance, \(2\lt x\lt 4\text{.}\) Thus

\begin{equation*} \begin{gathered} 2+3\lt x+3\lt4+3\\ 5\lt x+3\lt 7\\ \frac{1}{7}\lt\frac{1}{x+3}\lt\frac{1}{5}\\ \frac{\varepsilon}{7}\lt\frac{\varepsilon}{x+3}\lt\frac{\varepsilon}{5} \end{gathered} \end{equation*}

Since we need to begin the actual proof with \(\abs{x-3}\lt\delta\text{,}\) this suggests that we take \(\delta=\frac{\varepsilon}{7}\text{.}\)

Now we can apply the definition.

\begin{equation*} \begin{aligned} \abs{x-3}\amp\lt\delta\\ \abs{x-3}\amp\lt\frac{\varepsilon}{7}\\ \abs{x-3}\amp\lt\frac{\varepsilon}{\abs{x+3}}\\ \abs{x-3}\cdot\abs{x+3}\amp\lt\varepsilon\\ \abs{x^2-9}\amp\lt\varepsilon\\ \abs{\left(x^2-3\right)-6}\amp\lt\varepsilon \end{aligned} \end{equation*}

In other words, \(\abs{x-3}\lt\delta\) implies \(\abs{\left(x^2-3\right)-6}\lt\varepsilon\text{.}\) This is what we needed to prove.

1.2.9.
Solution.

Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-1}\lt \delta\text{,}\) \(\abs{f(x)-6}\lt \varepsilon\text{.}\)

First, some prelimary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-6}\lt \varepsilon\text{,}\) keeping in mind we want to make a statement about \(\abs{x-1}\text{:}\)

\begin{equation*} \begin{gathered} \abs{f(x) -6} \lt \varepsilon\\ \abs{(2x^2+3x+1)-6}\lt \varepsilon\\ \abs{2x^2+3x-5} \lt \varepsilon\\ \abs{2x+5}\cdot\abs{x-1} \lt \varepsilon\\ \abs{x-1} \lt \varepsilon/\abs{2x+5} \end{gathered} \end{equation*}

Since \(x\) is near \(1\text{,}\) we can safely assume that, for instance, \(0\lt x\lt 2\text{.}\) Thus

\begin{equation*} \begin{gathered} 0+5\lt 2x+5\lt 4+5\\ 5 \lt 2x+5 \lt 9\\ \frac{1}{9} \lt \frac{1}{2x+5} \lt \frac{1}{5}\\ \frac{\varepsilon}{9} \lt \frac{\varepsilon}{2x+5} \lt \frac{\varepsilon}{5} \end{gathered} \end{equation*}

Let \(\delta =\frac{\varepsilon}{9}\text{.}\) Then:

\begin{equation*} \begin{gathered} \abs{x-1}\lt \delta\\ \abs{x-1} \lt \frac{\varepsilon}{9}\\ \abs{x-1} \lt \frac{\varepsilon}{2x+5}\\ \abs{x-1}\cdot\abs{2x+5} \lt \frac{\epsilon}{2x+5}\cdot\abs{2x+5} \end{gathered} \end{equation*}

Assuming \(x\) is near \(1\text{,}\) \(2x+5\) is positive and we can drop the absolute value signs on the right.

\begin{equation*} \begin{gathered} \abs{x-1}\cdot\abs{2x+5} \lt \frac{\varepsilon}{2x+5}\cdot(2x+5)\\ \abs{2x^2+3x-5} \lt \varepsilon\\ \abs{(2x^2+3x+1) -6} \lt \varepsilon\text{,} \end{gathered} \end{equation*}

which is what we wanted to prove.

1.2.11.
Solution.

Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(\abs{x-2}\lt\delta\text{,}\) \(\abs{f(x)-5}\lt\varepsilon\text{.}\)

First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-5}\lt\varepsilon\text{:}\)

\begin{equation*} \begin{aligned} \abs{5-5}\amp\lt\varepsilon\\ \abs{0}\amp\lt\varepsilon \end{aligned} \end{equation*}

Well, this is just plain true no matter what \(\varepsilon\) is (as long as its positive). So it really doesn’t matter what \(\delta\) is.

Now we can apply the definition.

\begin{equation*} \begin{aligned} \abs{x-2}\amp\lt\delta\\ \abs{0}\amp\lt\varepsilon\\ \abs{5-5}\amp\lt\varepsilon \end{aligned} \end{equation*}

In other words, \(\abs{x-2}\lt\delta\) (vacuously) implies \(\abs{5-5}\lt\varepsilon\text{.}\) This is what we needed to prove.

1.2.13.
Solution.

Let \(\epsilon \gt 0\) be given. We wish to find \(\delta \gt 0\) such that when \(|x-1|\lt \delta\text{,}\) \(|f(x)-1|\lt \epsilon\text{.}\)

Consider \(|f(x)-1|\lt \epsilon\text{,}\) keeping in mind we want to make a statement about \(|x-1|\text{:}\)

\begin{equation*} \begin{gathered} |f(x) -1 | \lt \epsilon\\ |1/x-1 |\lt \epsilon\\ | (1-x)/x | \lt \epsilon\\ | x-1 |/|x| \lt \epsilon\\ | x-1 | \lt \epsilon\cdot|x| \end{gathered} \end{equation*}

Since \(x\) is near 1, we can safely assume that, for instance, \(1/2\lt x\lt 3/2\text{.}\) Thus \(\epsilon/2 \lt \epsilon\cdot x\text{.}\)

Let \(\delta =\frac{\epsilon}{2}\text{.}\) Then:

\begin{equation*} \begin{gathered} \abs{x-1}\lt \delta\\ \abs{x-1} \lt \frac{\epsilon}{2}\\ \abs{x-1} \lt \epsilon\cdot x\\ \abs{x-1}/x \lt \epsilon \end{gathered} \end{equation*}

Assuming \(x\) is near 1, \(x\) is positive and we can bring it into the absolute value signs on the left.

\begin{equation*} \begin{gathered} \abs{(x-1)/x} \lt \epsilon\\ \abs{1-1/x} \lt \epsilon\\ \abs{(1/x) -1} \lt \epsilon\text{,} \end{gathered} \end{equation*}

which is what we wanted to prove.

1.3 Finding Limits Analytically

Exercises

Terms and Concepts
1.3.5.
Solution.

As \(x\) is near \(1\text{,}\) both \(f\) and \(g\) are near \(0\text{,}\) but \(f\) is approximately twice the size of \(g\text{.}\) (That is, \(f(x)\approx2g(x)\text{.}\))

Problems
1.3.19.
Answer.
Solution.
\begin{equation*} \begin{aligned} \lim\limits_{x\to 6}\left({x^{2}-3x+5}\right)\amp=\lim\limits_{x\to 6}x^2+\lim\limits_{x\to 6}-3x+\lim\limits_{x\to 6}5\\ \amp=\left(\lim\limits_{x\to 6}x\right)^2+\lim\limits_{x\to 6}-3x+\lim\limits_{x\to 6}6\\ \amp=\left(6\right)^2 - 3\left(6\right)+ 5\\ \amp={23} \end{aligned} \end{equation*}
1.3.21.
Answer.
Solution.
\begin{equation*} \begin{aligned} \lim_{x\to {\frac{\pi }{6}}}\cos(x)\sin(x)\amp=\lim_{x\to {\frac{\pi }{6}}}\cos(x)\cdot\lim_{x\to {\frac{\pi }{6}}}\sin(x)\\ \amp=\cos\mathopen{}\left({\frac{\pi }{6}}\right)\mathclose{}\cdot\sin\mathopen{}\left({\frac{\pi }{6}}\right)\mathclose{}\\ \amp={\frac{\sqrt{3}}{2}}\cdot {\frac{1}{2}}\\ \amp={\frac{\sqrt{3}}{4}} \end{aligned} \end{equation*}
1.3.23.
Answer.
Solution.

This limit does not exist for at least two reasons. For one reason, \(\ln(x)\) can be arbitrarily large negative if you allow \(x\) to be positive and close enough to \(0\text{.}\) Also, since \(\ln(x)\) is undefined for negative \(x\) and \(\lim\limits_{x\to0}\ln(x)\) is an expression that depends on outputs of \(\ln\) using inputs both slightly smaller and slightly larger than \(0\text{,}\) we cannot hope to give meaning to \(\lim\limits_{x\to0}\ln(x)\text{.}\)

1.3.25.
Answer.
Solution.
\begin{equation*} \begin{aligned} \lim_{x\to {\frac{\pi }{3}}}\csc(x)\amp=\csc\mathopen{}\left({\frac{\pi }{3}}\right)\mathclose{}\\ \amp={\frac{2\sqrt{3}}{3}} \end{aligned} \end{equation*}
1.3.27.
Answer.
Solution.
\begin{equation*} \begin{aligned} \lim\limits_{x\to\pi}{\frac{x^{2}-4x-2}{2x^{2}-2x+1}}\amp=\frac{\lim\limits_{x\to\pi}\left({x^{2}-4x-2}\right)}{\lim\limits_{x\to\pi}\left({2x^{2}-2x+1}\right)}\\ \amp=\frac{\lim\limits_{x\to\pi}x^2+\lim\limits_{x\to\pi}(-4x)+\lim\limits_{x\to\pi}(-2)}{\lim\limits_{x\to\pi}(2x^2)+\lim\limits_{x\to\pi}(- 2x)+\lim\limits_{x\to\pi} + 1}\\ \amp=\frac{\lim\limits_{x\to\pi}x^2 - 4\lim\limits_{x\to\pi}x+\lim\limits_{x\to\pi}(-2)}{2\lim\limits_{x\to\pi}x^2- 2\lim\limits_{x\to\pi}x-\lim\limits_{x\to\pi}-1}\\ \amp={\frac{\pi ^{2}-4\pi -2}{2\pi ^{2}-2\pi +1}} \end{aligned} \end{equation*}
1.3.43.
Solution.
  1. Apply Part 1 of Theorem 1.3.1.

  2. Apply Theorem 1.3.21; \(g(x)=\frac{x}{x}\) is the same as \(g(x)=1\) everywhere except at \(x=0\text{.}\) Thus \(\lim\limits_{x\to0}g(x)=\lim_{x\to0}1=1\text{.}\)

  3. The function \(f\) always gives output \(0\text{,}\) so \(g(f(x))\) is never defined as \(g\) is not defined for an input of \(0\text{.}\) Therefore the limit does not exist.

  4. The Composition Rule requires that \(\lim\limits_{x\to0}g(x)\) be equal to \(g(0)\text{.}\) They are not equal, so the conditions of the Composition Rule are not satisfied, and hence the rule is not violated.

1.4 One-Sided Limits

Exercises

Terms and Concepts
1.4.1.
Solution.

The function approaches different values from the left and right; the function grows without bound; the function oscillates.

1.4.3.
Answer.
Solution.

False: just because the left-hand limit equals some number, that doesn’t mean the right-hand limit exists or equals the same number.

Problems

1.5 Continuity

Exercises

Terms and Concepts
1.5.3.
Solution.

A root of a function \(f\) is a value \(c\) such that \(f(c)=0\text{.}\)

Problems
1.5.23.
Answer.
Solution.

Since \(f\) is a polynomial function, it is continuous on \((-\infty,\infty)\text{.}\)

1.5.25.
Answer.
Solution.

The domain of \(f\) is \({\left[-5,5\right]}\text{,}\) and since \(f\) is a composition of continuous functions on that domain, it is continuous on \({\left[-5,5\right]}\text{.}\)

1.5.35.
Solution.

Yes, by the Intermediate Value Theorem.

1.5.37.
Solution.

We cannot say; the Intermediate Value Theorem only applies to function values between \(-10\) and 10; as 11 is outside this range, we do not know.

1.6 Limits Involving Infinity

1.6.4 Exercises

Problems

1.6.4.15.
Answer 1.Answer 2.Answer 3.
Solution.

Tables will vary.

  1. \(x\) \(f(x)\)
    \(5.9\) \({-45.0465}\)
    \(5.99\) \({-460.432}\)
    \(5.999\) \({-4614.28}\)

It seems \(\lim\limits_{x\to6^{-}}f(x)={-\infty }\text{.}\)

  1. \(x\) \(f(x)\)
    \(6.1\) \({47.2595}\)
    \(6.01\) \({462.645}\)
    \(6.001\) \({4616.49}\)

It seems \(\lim\limits_{x\to6^{+}}f(x)={\infty }\text{.}\)

  1. It seems \(\lim\limits_{x\to3}f(x)\) does not exist.

1.6.4.17.
Answer 1.Answer 2.Answer 3.
Solution.

Tables will vary.

  1. \(x\) \(f(x)\)
    \(-9.1\) \({-500.09}\)
    \(-9.01\) \({-49182.7}\)
    \(-9.001\) \({-4.91001\times 10^{6}}\)

It seems \(\lim\limits_{x\to-9^{-}}f(x)={-\infty }\text{.}\)

  1. \(x\) \(f(x)\)
    \(-8.9\) \({-481.743}\)
    \(-8.99\) \({-48999.2}\)
    \(-8.999\) \({-4.90817\times 10^{6}}\)

It seems \(\lim\limits_{x\to-9^{+}}f(x)={-\infty }\text{.}\)

  1. It seems \(\lim\limits_{x\to3}f(x)\) is `-\infty `.

1.6.4.19.
Answer.
Solution.

There are horizontal/vertical asymptotes at \({y = 5, x = 3, x = -4}\text{.}\)

1.6.4.21.
Answer.
Solution.

There are horizontal/vertical asymptotes at \({y = 0, x = 0, x = 8}\text{.}\)

1.6.4.23.
Answer.
Solution.

There are horizontal/vertical asymptotes at \({\text{NONE}}\text{.}\)

Review

1.6.4.29.
Solution.

Let \(\varepsilon \gt 0\) be given. We wish to find \(\delta>0\) such that when \(\abs{x-1}\lt\delta\text{,}\) \(\abs{f(x)-3}\lt\varepsilon\text{.}\)

First, some preliminary investigation to find a suitable \(\delta\text{.}\) Consider \(\abs{f(x)-3}\lt\varepsilon\text{:}\)

\begin{equation*} \begin{aligned} \abs{f(x)-3}\amp\lt\varepsilon\\ \abs{(5x-2)-3}\amp\lt\varepsilon\\ \abs{5x-5}\amp\lt\varepsilon\\ \abs{x-1}\amp\lt\varepsilon/5 \end{aligned} \end{equation*}

Since we want to start with \(\abs{x-1}\lt\delta\text{,}\) this suggests we let \(\delta=\varepsilon/5\text{.}\)

Now we can apply the definition.

\begin{equation*} \begin{aligned} \abs{x-1}\amp\lt\delta\\ \abs{x-1}\amp\lt\varepsilon/5\\ -\varepsilon/5\lt x-1\amp\lt\varepsilon/5\\ -\varepsilon\lt 5(x-1)\amp\lt\varepsilon\\ -\varepsilon\lt 5x-5\amp\lt\varepsilon\\ -\varepsilon\lt (5x-2)-3\amp\lt\varepsilon\\ \abs{(5x-2)-3}\amp\lt\varepsilon\text{.} \end{aligned} \end{equation*}

In other words, \(\abs{x-1}\lt\delta\) implies \(\abs{(5x-2)-3}\lt\varepsilon\text{.}\) This is what we needed to prove.

2 Derivatives

2.1 Instantaneous Rates of Change: The Derivative

2.1.3 Exercises

Terms and Concepts

Problems

2.1.3.35.
Answer.
Solution.

\(\lim_{h\to0^+}\frac{f(0+h)-f(0)}h =0\text{;}\) note also that \(\lim_{x\to0^+}\fp(x) = 0\text{.}\) So \(f\) is differentiable at \(x=0\text{.}\)

\(\lim_{h\to0^-}\frac{f(1+h)-f(1)}h =-\infty\text{;}\) note also that \(\lim_{x\to1^-}\fp(x) = -\infty\text{.}\) So \(f\) is not differentiable at \(x=1\text{.}\)

\(f\) is differentiable on \([0,1)\text{,}\) not its entire domain.

2.2 Interpretations of the Derivative

2.2.5 Exercises

Problems

2.2.5.7.
Answer.
Solution.

\(f(10.1)\) is likely most accurate, as accuracy is lost the farther from \(x=10\) we go.

2.2.5.13.
Solution.
  1. thousands of dollars per car

  2. It is likely that \(P(0)\lt 0\text{.}\) That is, negative profit for not producing any cars.

2.3 Basic Differentiation Rules

2.3.3 Exercises

Terms and Concepts

2.3.3.3.
Answer.
Solution.

One answer is \(f(x) = 10e^x\text{.}\) Any constant multiple of \(e^x\) will do.

2.3.3.7.
Answer.
Solution.

One answer is \(f(x) = 17x-205\text{.}\) Any linear function with nonzero slope will do.

2.3.3.9.
Answer 1.Answer 2.
Solution.

\(\fp(x)\) is a velocity function, and \(\fpp(x)\) is acceleration.

Review

2.3.3.39.
Answer.
Solution.

The tangent line to \(f(x) = e^x\) at \(x=0\) is \(y=x+1\text{;}\) thus \(e^{0.1} \approx y(0.1) = 1.1\text{.}\)

2.4 The Product and Quotient Rules

Exercises

2.5 The Chain Rule

Exercises

Review
2.5.43.
Answer.
Solution.
  1. \(^\circ\)F/mph

  2. The sign would be negative; when the wind is blowing at 10 mph, any increase in wind speed will make it feel colder, i.e., a lower number on the Fahrenheit scale.

2.6 Implicit Differentiation

2.6.4 Exercises

Terms and Concepts

Problems

2.6.4.23.
Answer.
Solution.

If one takes the derivative of the equation, as shown, using the Quotient Rule, one finds \(\frac{dy}{dx} = \frac{-\cos (x) (x+\cos (y))+\sin (x)+y}{\sin (y) (\sin (x)+y)+x+\cos (y)}\text{.}\)

If one first clears the denominator and writes \(\sin(x)+y = \cos(y)+x\) then takes the derivative of both sides, one finds \(\frac{dy}{dx} = \frac{1-\cos(x)}{1+\sin(y)}\text{.}\)

These expressions, by themselves, are not equal. However, for values of \(x\) and \(y\) that satisfy the original equation (i.e, for \(x\) and \(y\) such that \(\frac{\sin(x)+y)}{\cos(y)+x)}=1\)), these expressions are equal.

2.7 Derivatives of Inverse Functions

Exercises

Terms and Concepts
2.7.3.
Solution.

The point \((10,1)\) lies on the graph of \(y=f^{-1}(x)\) (assuming \(f\) is invertible).

Problems
2.7.5.
Solution.

Compose \(f(g(x))\) and \(g(f(x))\) to confirm that each equals \(x\text{.}\)

2.7.7.
Solution.

Compose \(f(g(x))\) and \(g(f(x))\) to confirm that each equals \(x\text{.}\)

2.7.25.
Solution.
  1. \(f(x) = x\text{,}\) so \(\fp(x) = 1\text{.}\)

  2. \(\displaystyle \fp(x) = \cos(\sin^{-1}(x) )\frac{1}{\sqrt{1-x^2}} = 1\text{.}\)

2.7.27.
Solution.
  1. \(f(x) = \sqrt{1-x^2}\text{,}\) so \(\fp(x) = \frac{-x}{\sqrt{1-x^2}}\text{.}\)

  2. \(\displaystyle \fp(x) = \cos(\cos^{-1}(x) ) \frac{1}{\sqrt{1-x^2}} =\frac{-x}{\sqrt{1-x^2}}\text{.}\)

3 The Graphical Behavior of Functions

3.1 Extreme Values

Exercises

Terms and Concepts
3.1.1.
Solution.

Answers will vary.

3.1.3.
Solution.

Answers will vary.

3.2 The Mean Value Theorem

Exercises

Terms and Concepts
3.2.1.
Solution.

Answers will vary.

Review
3.2.23.
Solution.

There aren’t any critical points. Wherever \(\tan(x)\) is defined, its derivative is also defined and strictly positive.

3.3 Increasing and Decreasing Functions

Exercises

Terms and Concepts
3.3.5.
Answer.
Solution.

False; for instance, \(y=x^3\) is always increasing though it has a critical point at \(x=0\text{.}\)

3.4 Concavity and the Second Derivative

3.4.3 Exercises

Problems

3.5 Curve Sketching

Exercises

3.5.1.
Solution.

Answers will vary.

3.5.7.
Solution.

A good sketch will include the \(x\) and \(y\) intercepts..

3.5.9.
Solution.

Use technology to verify sketch.

3.5.11.
Solution.

Use technology to verify sketch.

3.5.13.
Solution.

Use technology to verify sketch.

3.5.15.
Solution.

Use technology to verify sketch.

3.5.17.
Solution.

Use technology to verify sketch.

3.5.19.
Solution.

Use technology to verify sketch.

3.5.21.
Solution.

Use technology to verify sketch.

3.5.23.
Solution.

Use technology to verify sketch.

3.5.25.
Solution.

Use technology to verify sketch.

3.5.27.
Solution.

Critical points: \(x=\frac{n\pi/2-b}{a}\text{,}\) where \(n\) is an odd integer Points of inflection: \((n\pi-b)/a\text{,}\) where \(n\) is an integer.

3.5.29.
Solution.

\(\frac{dy}{dx} = -x/y\text{,}\) so the function is increasing in second and fourth quadrants, decreasing in the first and third quadrants.

\(\frac{d^2y}{dx^2} = -1/y - x^2/y^3\text{,}\) which is positive when \(y\lt 0\) and is negative when \(y\gt0\text{.}\) Hence the function is concave down in the first and second quadrants and concave up in the third and fourth quadrants.

4 Applications of the Derivative

4.1 Newton's Method

Exercises

4.2 Related Rates

Exercises

4.3 Optimization

Exercises

4.4 L'Hospital's Rule

4.4.4 Exercises

Terms and Concepts

4.4.4.1.
Solution.

\(0/0, \infty/\infty, 0\cdot\infty,\infty-\infty,0^0,1^\infty,\infty^0\)

4.5 Taylor Polynomials

Exercises

Terms and Concepts
4.5.1.
Solution.

The Maclaurin polynomial is a special case of Taylor polynomials. Taylor polynomials are centered at a specific \(x\)-value; when that \(x\)-value is 0, it is a Maclauring polynomial.

4.5.3.
Answer.
Solution.

A higher-degree Maclaurin polynomial begins with the same terms as any lower-degree Maclaurin polynomial of the same function. Therefore,

\begin{equation*} p_2(x) = 6+3x-4x^2\text{.} \end{equation*}
Problems
4.5.21.
Solution.

\(p_3(x) =x-\frac{x^3}{6}\text{;}\) \(p_3(0.1) = 0.09983\text{.}\) Error is bounded by \(\pm \frac{1}{4!}\cdot0.1^4 \approx \pm 0.000004167\text{.}\)

4.5.23.
Solution.

\(p_2(x) =3+\frac{1}{6} (-9+x)-\frac{1}{216} (-9+x)^2\text{;}\) \(p_2(10) = 3.16204\text{.}\) The third derivative of \(f(x) =\sqrt x\) is bounded on \((8,11)\) by \(0.003\text{.}\) Error is bounded by \(\pm \frac{0.003}{3!}\cdot1^3 = \pm 0.0005\text{.}\)

4.5.25.
Solution.

The \(n\)th derivative of \(f(x)=e^x\) is bounded by \(3\) on intervals containing \(0\) and 1. Thus \(\abs{R_n(1)}\leq \frac{3}{(n+1)!}1^{(n+1)}\text{.}\) When \(n=7\text{,}\) this is less than \(0.0001\text{.}\)

4.5.27.
Solution.

The \(n\)th derivative of \(f(x)=\cos(x)\) is bounded by \(1\) on intervals containing \(0\) and \(\pi/3\text{.}\) Thus \(\abs{R_n(\pi/3)}\leq \frac{1}{(n+1)!}(\pi/3)^{(n+1)}\text{.}\) When \(n=7\text{,}\) this is less than \(0.0001\text{.}\) Since the Maclaurin polynomial of \(\cos(x)\) only uses even powers, we can actually just use \(n=6\text{.}\)

4.5.29.
Solution.

The \(n\)th term is \(\frac{1}{n!}x^n\text{.}\)

4.5.33.
Solution.

The \(n\)th term is \((-1)^nx^n\text{.}\)

4.6 Differentials

Exercises

Problems
4.6.7.
Answer.
Solution.

Use \(y = {x^{2}}\text{;}\) \(dy = {2x}\cdot dx\) with \(x=6\) and \(dx = 0.07\text{.}\) Thus \(dy = {0.84}\text{;}\) knowing \({6.07^{2}}={36}\text{,}\) we have \({6.07^{2}} \approx {36.84}\text{.}\)

4.6.9.
Answer.
Solution.

Use \(y = {x^{3}}\text{;}\) \(dy = {3x^{2}}\cdot dx\) with \(x=7\) and \(dx = 0.4\text{.}\) Thus \(dy = {58.8}\text{;}\) knowing \({7.4^{3}}={343}\text{,}\) we have \({7.4^{3}} \approx {401.8}\text{.}\)

4.6.11.
Answer.
Solution.

Use \(y = {\sqrt{x}}\text{;}\) \(dy = {\frac{1}{2\sqrt{x}}}\cdot dx\) with \(x=49\) and \(dx = 0.4\text{.}\) Thus \(dy = {0.0285714}\text{;}\) knowing \({\sqrt{49.4}}={7}\text{,}\) we have \({\sqrt{49.4}} \approx {7.02857}\text{.}\)

4.6.13.
Answer.
Solution.

Use \(y = {\sqrt[3]{x}}\text{;}\) \(dy = {0.333333\frac{1}{\left(\sqrt[3]{x}\right)^{2}}}\cdot dx\) with \(x=8\) and \(dx = -0.9\text{.}\) Thus \(dy = {-0.075}\text{;}\) knowing \({\sqrt[3]{7.1}}={2}\text{,}\) we have \({\sqrt[3]{7.1}} \approx {1.925}\text{.}\)

4.6.15.
Answer.
Solution.

Use \(y = {\sin\!\left(x\right)}\text{;}\) \(dy = {\cos\!\left(x\right)}\cdot dx\) with \(x={3.14159}\) and \(dx = {-0.141593}\text{.}\) Thus \(dy = {0.141593}\text{;}\) knowing \({\sin\!\left(3\right)}={0}\text{,}\) we have \({\sin\!\left(3\right)} \approx {0.141593}\text{.}\)

5 Integration

5.1 Antiderivatives and Indefinite Integration

5.1.2 Exercises

Terms and Concepts

5.2 The Definite Integral

Exercises

5.3 Riemann Sums

5.3.4 Exercises

5.4 The Fundamental Theorem of Calculus

5.4.6 Exercises

Terms and Concepts

5.5 Numerical Integration

5.5.6 Exercises

Terms and Concepts

5.5.6.3.
Solution.

They are superseded by the Trapezoidal Rule; it takes an equal amount of work and is generally more accurate.

6 Techniques of Antidifferentiation

6.1 Substitution

6.1.5 Exercises

Terms and Concepts

Problems

6.2 Integration by Parts

Exercises

Terms and Concepts
6.2.3.
Solution.

Determining which functions in the integrand to set equal to “\(u\)” and which to set equal to “\(dv\)”.

6.3 Trigonometric Integrals

6.3.4 Exercises

6.4 Trigonometric Substitution

Exercises

6.5 Partial Fraction Decomposition

Exercises

6.6 Hyperbolic Functions

6.6.3 Exercises

Terms and Concepts

6.6.3.1.
Solution.

Because \(\cosh(x)\) is always positive.

Problems

6.6.3.3.
Solution.

\(\begin{aligned}\coth^2(x) -\csch^2(x) \amp = \left(\frac{e^x+e^{-x}}{e^x-e^{-x}}\right)^2 - \left(\frac{2}{e^x-e^{-x}}\right)^2 \\ \amp = \frac{(e^{2x} + 2 + e^{-2x}) - (4)}{e^{2x} - 2 + e^{-2x}}\\ \amp = \frac{e^{2x} - 2 + e^{-2x}}{e^{2x} - 2 + e^{-2x}}\\ \amp = 1 \end{aligned}\)

6.6.3.5.
Solution.

\(\begin{aligned}\cosh^2(x) \amp = \left(\frac{e^x+e^{-x}}{2}\right)^2 \\ \amp = \frac{e^{2x} + 2 + e^{-2x}}{4} \\ \amp = \frac12\frac{(e^{2x} + e^{-2x})+2}{2}\\ \amp = \frac12\left(\frac{e^{2x} + e^{-2x}}{2}+1\right)\\ \amp = \frac{\cosh(2x) +1}{2}. \end{aligned}\)

6.6.3.7.
Solution.

\(\begin{aligned}\frac{d}{dx}\left[\sech(x) \right] \amp = \frac{d}{dx}\left[\frac{2}{e^x+e^{-x}}\right] \\ \amp = \frac{-2(e^x-e^{-x})}{(e^x+e^{-x})^2} \\ \amp = -\frac{2(e^x-e^{-x})}{(e^x+e^{-x})(e^x+e^{-x})} \\ \amp = -\frac{2}{e^x+e^{-x}}\cdot \frac{e^x-e^{-x}}{e^x+e^{-x}}\\ \amp = -\sech(x) \tanh(x) \end{aligned}\)

6.6.3.9.
Solution.

\(\ds \int \tanh(x) \, dx = \int \frac{\sinh(x) }{\cosh(x) }\, dx\)

Let \(u = \cosh(x)\text{;}\) \(du = (\sinh(x) ) dx\)

\(\begin{aligned}\amp = \int \frac{1}{u}\,du \\ \amp = \ln\abs{u} + C \\ \amp = \ln(\cosh(x) ) + C. \end{aligned}\)

6.6.3.23.
Answer.
Solution.

\(y=x\)

6.6.3.25.
Answer.
Solution.

\(y=\frac9{25}(x+\ln(3))-\frac45\)

6.6.3.27.
Answer.
Solution.

\(y=x\)

6.7 Improper Integration

6.7.4 Exercises

Terms and Concepts

6.7.4.1.
Solution.

The interval of integration is finite, and the integrand is continuous on that interval.

6.7.4.3.
Solution.

converges; could also state \(\lt 10\text{.}\)

7 Applications of Integration

7.1 Area Between Curves

Exercises

7.2 Volume by Cross-Sectional Area; Disk and Washer Methods

Exercises

Terms and Concepts
7.2.3.
Solution.

Recall that “\(dx\)” does not just “sit there;” it is multiplied by \(A(x)\) and represents the thickness of a small slice of the solid. Therefore \(dx\) has units of in, giving \(A(x)\,dx\) the units of in\(^3\text{.}\)

Problems
7.2.13.
Solution.
  1. \(\displaystyle 512\pi/15\)

  2. \(\displaystyle 256\pi/5\)

  3. \(\displaystyle 832\pi/15\)

  4. \(\displaystyle 128\pi/3\)

7.2.15.
Solution.
  1. \(\displaystyle 104\pi/15\)

  2. \(\displaystyle 64\pi/15\)

  3. \(\displaystyle 32\pi/5\)

7.2.17.
Solution.
  1. \(\displaystyle 8\pi\)

  2. \(\displaystyle 8\pi\)

  3. \(\displaystyle 16\pi/3\)

  4. \(\displaystyle 8\pi/3\)

7.2.19.
Answer.
Solution.

The cross-sections of this cone are the same as the cone in Exercise 7.2.18. Thus they have the same volume of \(250\pi/3\) units\(^3\text{.}\)

7.2.21.
Answer.
Solution.

Orient the solid so that the \(x\)-axis is parallel to long side of the base. All cross-sections are trapezoids (at the far left, the trapezoid is a square; at the far right, the trapezoid has a top length of 0, making it a triangle). The area of the trapezoid at \(x\) is \(A(x) = 1/2(-1/2x+5+5)(5) = -5/4x+25\text{.}\) The volume is \(187.5\) units\(^3\text{.}\)

7.3 The Shell Method

Exercises

Problems
7.3.13.
Solution.
  1. \(\displaystyle 4\pi/5\)

  2. \(\displaystyle 8\pi/15\)

  3. \(\displaystyle \pi/2\)

  4. \(\displaystyle 5\pi/6\)

7.3.15.
Solution.
  1. \(\displaystyle 4\pi/3\)

  2. \(\displaystyle \pi/3\)

  3. \(\displaystyle 4\pi/3\)

  4. \(\displaystyle 2\pi/3\)

7.3.17.
Solution.
  1. \(\displaystyle 2\pi(\sqrt{2}-1)\)

  2. \(\displaystyle 2\pi(1-\sqrt{2}+\sinh^{-1}(1))\)

7.4 Arc Length and Surface Area

7.4.3 Exercises

Terms and Concepts

7.4.3.1.
Solution.

T

Problems

7.4.3.3.
Solution.

\(\sqrt{2}\)

7.4.3.5.
Solution.

\(4/3\)

7.4.3.7.
Solution.

\(109/2\)

7.4.3.9.
Solution.

\(12/5\)

7.4.3.11.
Solution.

\(-\ln(2-\sqrt{3}) \approx 1.31696\)

7.4.3.13.
Solution.

\(\int_0^1 \sqrt{1+4x^2}\, dx\)

7.4.3.15.
Solution.

\(\int_0^1 \sqrt{1+\frac{1}{4x}}\, dx\)

7.4.3.17.
Solution.

\(\int_{-1}^1 \sqrt{1+\frac{x^2}{1-x^2}}\, dx\)

7.4.3.19.
Solution.

\(\int_{1}^2 \sqrt{1+\frac1{x^4}}\, dx\)

7.4.3.21.
Solution.

\(1.4790\)

7.4.3.23.
Solution.

Simpson’s Rule fails, as it requires one to divide by 0. However, recognize the answer should be the same as for \(y=x^2\text{;}\) why?

7.4.3.25.
Solution.

Simpson’s Rule fails.

7.4.3.27.
Solution.

\(1.4058\)

7.4.3.29.
Solution.

\(2\pi\int_0^1 2x\sqrt{5}\, dx = 2\pi\sqrt{5}\)

7.4.3.31.
Solution.

\(2\pi\int_0^1 x^3\sqrt{1+9x^4}\, dx = \pi/27(10\sqrt{10}-1)\)

7.4.3.33.
Solution.

\(2\pi\int_0^1 \sqrt{1-x^2}\sqrt{1+x/(1-x^2)}\, dx = 4\pi\)

7.5 Work

7.5.4 Exercises

7.6 Fluid Forces

Exercises

8 Differential Equations

8.1 Graphical and Numerical Solutions to Differential Equations

8.1.4 Exercises

8.2 Separable Differential Equations

8.2.2 Exercises

8.3 First Order Linear Differential Equations

8.3.2 Exercises

8.4 Modeling with Differential Equations

8.4.3 Exercises

9 Sequences and Series

9.1 Sequences

Exercises

Problems
9.1.39.
Solution.

Let \(\{a_n\}\) be given such that \(\lim\limits_{n\to\infty} \abs{a_n} = 0\text{.}\) By the definition of the limit of a sequence, given any \(\varepsilon \gt 0\text{,}\) there is a \(m\) such that for all \(n \gt m, \abs{\abs{a_n} - 0} \lt \varepsilon\text{.}\) Since \(\abs{\abs{a_n}-0} = \abs{a_n - 0}\text{,}\) this directly implies that for all \(n \gt m\text{,}\) \(\abs{a_n - 0} \lt \varepsilon\text{,}\) meaning that \(\lim\limits_{n\to\infty} a_n = 0\text{.}\)

9.1.41.
Solution.

A sketch of one proof method:

Let any \(\epsilon>0\) be given. Since \(\{a_n\}\) and \(\{b_n\}\) converge, there exists an \(N>0\) such that for all \(n\geq N\text{,}\) both \(a_n\) and \(b_n\) are within \(\epsilon/2\) of \(L\text{;}\) we can conclude that they are at most \(\epsilon\) apart from each other. Since \(a_n\leq c_n \leq b_n\text{,}\) one can show that \(c_n\) is within \(\epsilon\) of \(L\text{,}\) showing that \(\{c_n\}\) also converges to \(L\text{.}\)

9.2 Infinite Series

9.2.4 Exercises

Terms and Concepts

9.2.4.3.
Solution.

One sequence is the sequence of terms \(\{a_\}\text{.}\) The other is the sequence of \(n\)th partial sums, \(\{S_n\} = \{\sum_{i=1}^n a_i\}\text{.}\)

Problems

9.2.4.7.
Solution.
  1. \(\displaystyle -1,-\frac{1}{2},-\frac{5}{6},-\frac{7}{12},-\frac{47}{60}\)

  2. Plot omitted

9.2.4.9.
Solution.
  1. \(\displaystyle -1,0,-1,0,-1\)

  2. Plot omitted

9.2.4.11.
Solution.
  1. \(\displaystyle 1,\frac{3}{2},\frac{5}{3},\frac{41}{24},\frac{103}{60}\)

  2. Plot omitted

9.2.4.13.
Solution.
  1. \(\displaystyle -0.9,-0.09,-0.819,-0.1629,-0.75339\)

  2. Plot omitted

9.2.4.15.
Solution.

\(\lim\limits_{n\to\infty}a_n = 3\text{;}\) by Theorem 9.2.23 the series diverges.

9.2.4.17.
Solution.

\(\lim\limits_{n\to\infty}a_n = \infty\text{;}\) by Theorem 9.2.23 the series diverges.

9.2.4.19.
Solution.

\(\lim\limits_{n\to\infty}a_n = 1/2\text{;}\) by Theorem 9.2.23 the series diverges.

9.2.4.21.
Solution.

Converges; \(p\)-series with \(p=5\text{.}\)

9.2.4.23.
Solution.

Diverges; geometric series with \(r=6/5\text{.}\)

9.2.4.25.
Solution.

Diverges; fails \(n\)th term test.

9.2.4.27.
Solution.

Diverges; although the series \(\ds\infser \frac{1}{n!}\) converges, \(\ds \infser \frac1n\) is the (divergent) harmonic series. We can only use the sum rule for series if both parts converge separately.

9.2.4.29.
Solution.

Diverges; by Theorem 9.2.19 this is half the Harmonic Series, which diverges by growing without bound. “Half of growing without bound” is still growing without bound.

9.2.4.31.
Solution.
  1. \(\displaystyle S_n = \frac{1-(1/4)^n}{3/4}\)

  2. Converges to \(4/3\text{.}\)

9.2.4.33.
Solution.
  1. \(\displaystyle S_n = \left(\frac{n(n+1)}{2}\right)^2\)

  2. Diverges

9.2.4.35.
Solution.
  1. \(\displaystyle S_n = 5\frac{1-1/2^n}{1/2}\)

  2. Converges to 10.

9.2.4.37.
Solution.
  1. \(\displaystyle S_n = \frac{1-(-1/3)^n}{4/3}\)

  2. Converges to \(3/4\text{.}\)

9.2.4.39.
Solution.
  1. With partial fractions, \(a_n = \frac32\left(\frac1n-\frac1{n+2}\right)\text{.}\) Thus \(S_n = \frac32\left(\frac32-\frac1{n+1}-\frac1{n+2}\right)\text{.}\)

  2. Converges to 9/4

9.2.4.41.
Solution.
  1. \(\displaystyle S_n = \ln\big(1/(n+1)\big)\)

  2. Diverges (to \(-\infty\)).

9.2.4.43.
Solution.
  1. \(a_n = \frac1{n(n+3)}\text{;}\) using partial fractions, the resulting telescoping sum reduces to \(S_n = \frac13\left(1+\frac12+\frac13-\frac1{n+1}-\frac1{n+2}-\frac1{n+3}\right)\)

  2. Converges to \(11/18\text{.}\)

9.2.4.45.
Solution.
  1. With partial fractions, \(a_n = \frac12\left(\frac1{n-1}-\frac1{n+1}\right)\text{.}\) Thus \(S_n = \frac12\left(3/2-\frac1n-\frac{1}{n+1}\right)\text{.}\)

  2. Converges to 3/4.

9.2.4.47.
Solution.
  1. The \(n\)th partial sum of the odd series is \(1+\frac13+\frac15+\cdots+\frac{1}{2n-1}\text{.}\) The \(n\)th partial sum of the even series is \(\frac12+\frac14 + \frac16 + \cdots +\frac1{2n}\text{.}\) Each term of the even series is less than the corresponding term of the odd series, giving us our result.

  2. The \(n\)th partial sum of the odd series is \(1+\frac13+\frac15+\cdots+\frac1{2n-1}\text{.}\) The \(n\)th partial sum of 1 plus the even series is \(1+\frac12+\frac14+\cdots + \frac{1}{2(n-1)}\text{.}\) Each term of the even series is now greater than or equal to the corresponding term of the odd series, with equality only on the first term. This gives us the result.

  3. If the odd series converges, the work done in (a) shows the even series converges also. (The sequence of the \(n\)th partial sum of the even series is bounded and monotonically increasing.) Likewise, (b) shows that if the even series converges, the odd series will, too. Thus if either series converges, the other does. Similarly, (a) and (b) can be used to show that if either series diverges, the other does, too.

  4. If both the even and odd series converge, then their sum would be a convergent series. This would imply that the Harmonic Series, their sum, is convergent. It is not. Hence each series diverges.

9.3 Integral and Comparison Tests

9.3.4 Exercises

Terms and Concepts

9.3.4.3.
Solution.

The Integral Test (we do not have a continuous definition of \(n!\) yet) and the Limit Comparison Test (same as above, hence we cannot take its derivative).

Problems

9.3.4.13.
Solution.

Converges; compare to \(\ds \infser \frac{1}{n^2}\text{,}\) as \(1/(n^2+3n-5) \leq 1/n^2\) for all \(n \gt 1\text{.}\)

9.3.4.15.
Solution.

Diverges; compare to \(\ds \infser \frac{1}{n}\text{,}\) as \(1/n \leq \ln(n) /n\) for all \(n\geq 3\text{.}\)

9.3.4.17.
Solution.

Diverges; compare to \(\ds \infser \frac{1}{n}\text{.}\) Since \(n=\sqrt{n^2} \gt \sqrt{n^2-1}\text{,}\) \(1/n \leq 1/\sqrt{n^2-1}\) for all \(n\geq 2\text{.}\)

9.3.4.19.
Solution.

Diverges; compare to \(\ds \infser \frac{1}{n}\text{:}\)

\begin{equation*} \frac 1n = \frac{n^2}{n^3} \lt \frac{n^2+n+1}{n^3} \lt \frac{n^2+n+1}{n^3-5}\text{,} \end{equation*}

for all \(n\geq 1\text{.}\)

9.3.4.21.
Solution.

Diverges; compare to \(\ds \infser \frac 1n\text{.}\) Note that

\begin{equation*} \frac{n}{n^2-1} = \frac{n^2}{n^2-1}\cdot\frac1n \gt \frac 1n\text{,} \end{equation*}

as \(\frac{n^2}{n^2-1} \gt 1\text{,}\) for all \(n\geq 2\text{.}\)

9.3.4.23.
Solution.

Converges; compare to \(\ds \infser \frac 1{n^2}\text{.}\)

9.3.4.25.
Solution.

Diverges; compare to \(\ds \infser \frac {\ln(n) }{n}\text{.}\)

9.3.4.27.
Solution.

Diverges; compare to \(\ds \infser \frac {1}{n}\text{.}\)

9.3.4.29.
Solution.

Diverges; compare to \(\ds \infser \frac {1}{n}\text{.}\) Just as \(\lim\limits_{n\to0}\frac{\sin(n) }{n} = 1\text{,}\) \(\lim\limits_{n\to\infty}\frac{\sin(1/n)}{1/n} = 1\text{.}\)

9.3.4.31.
Solution.

Converges; compare to \(\ds \infser \frac {1}{n^{3/2}}\text{.}\)

9.3.4.33.
Solution.

Converges; Integral Test

9.3.4.35.
Solution.

Diverges; the \(n\)th Term Test and Direct Comparison Test can be used.

9.3.4.37.
Solution.

Converges; the Direct Comparison Test can be used with sequence \(1/3^n\text{.}\)

9.3.4.39.
Solution.

Diverges; the \(n\)th Term Test can be used, along with the Integral Test.

9.3.4.41.

9.3.4.41.a

Solution.

Converges; use Direct Comparison Test as \(\frac{a_n}{n}\lt n\text{.}\)

9.3.4.41.b

Solution.

Converges; since original series converges, we know \(\lim_{n\to\infty}a_n = 0\text{.}\) Thus for large \(n\text{,}\) \(a_na_{n+1} \lt a_n\text{.}\)

9.3.4.41.c

Solution.

Converges; similar logic to so \((a_n)^2\lt a_n\text{.}\)

9.3.4.41.d

Solution.

May converge; certainly \(na_n \gt a_n\) but that does not mean it does not converge.

9.3.4.41.e

Solution.

Does not converge, using logic from part and \(n^{th}\) Term Test.

9.4 Ratio and Root Tests

9.4.3 Exercises

Problems

9.4.3.25.
Solution.

Diverges; Limit Comparison Test with the harmonic series \(1/n\text{.}\)

9.4.3.27.
Solution.

Converges; Ratio Test or Limit Comparison Test with \(1/3^n\text{.}\)

9.4.3.29.
Solution.

Diverges; \(n\)th-Term Test or Limit Comparison Test with 1.

9.4.3.31.
Solution.

Diverges; Direct Comparison Test with \(1/n\)

9.4.3.33.
Solution.

Converges; Root Test

9.5 Alternating Series and Absolute Convergence

Exercises

Terms and Concepts
9.5.1.
Solution.

The signs of the terms do not alternate; in the given series, some terms are negative and the others positive, but they do not necessarily alternate.

Problems
9.5.5.
Solution.
  1. converges

  2. converges (\(p\)-Series)

  3. absolute

9.5.7.
Solution.
  1. diverges (limit of terms is not 0)

  2. diverges

  3. n/a; diverges

9.5.9.
Solution.
  1. converges

  2. diverges (Limit Comparison Test with \(1/n\))

  3. conditional

9.5.11.
Solution.
  1. diverges (limit of terms is not 0)

  2. diverges

  3. n/a; diverges

9.5.13.
Solution.
  1. diverges (terms oscillate between \(\pm 1\))

  2. diverges

  3. n/a; diverges

9.5.15.
Solution.
  1. converges

  2. converges (Geometric Series with \(r=2/3\))

  3. absolute

9.5.17.
Solution.
  1. converges

  2. converges (Ratio Test)

  3. absolute

9.5.19.
Solution.
  1. converges

  2. diverges (\(p\)-Series Test with \(p=1/2\))

  3. conditional

9.5.21.
Solution.

\(S_5 = -1.1906\text{;}\) \(S_{6} = -0.6767\text{;}\)

\(\ds -1.1906 \leq \infser \frac{(-1)^n}{\ln(n+1)} \leq -0.6767\)

9.5.23.
Solution.

\(S_6 = 0.3681\text{;}\) \(S_7 = 0.3679\text{;}\)

\(\ds 0.3681 \leq \infser[0] \frac{(-1)^{n}}{n!} \leq 0.3679\)

9.5.25.
Solution.

\(n=5\)

9.5.27.
Solution.

Using the theorem, we find \(n=499\) guarantees the sum is within \(0.001\) of \(\pi/4\text{.}\) (Convergence is actually faster, as the sum is within \(\varepsilon\) of \(\pi/24\) when \(n\geq 249\text{.}\))

9.6 Power Series

Exercises

Terms and Concepts
9.6.1.
Solution.

We define \(x^0=1\) (even when \(x=0\)).

9.6.3.
Solution.

It is still 5: the derivative of a power series has the same radius of convergence as the original power series.

Problems
9.6.5.
Solution.

\(1+2x+4x^2+8x^3+16x^4\)

9.6.7.
Solution.

\(1+x+\frac{x^2}{2}+\frac{x^3}{6}+\frac{x^4}{24}\)

9.6.9.
Solution.
  1. \(\displaystyle R=\infty\)

  2. \(\displaystyle (-\infty,\infty)\)

9.6.11.
Solution.
  1. \(\displaystyle R=1\)

  2. \(\displaystyle (2,4]\)

9.6.13.
Solution.
  1. \(\displaystyle R=2\)

  2. \(\displaystyle (-2,2)\)

9.6.15.
Solution.
  1. \(\displaystyle R=1/5\)

  2. \(\displaystyle (4/5,6/5)\)

9.6.17.
Solution.
  1. \(\displaystyle R=1\)

  2. \(\displaystyle (-1,1)\)

9.6.19.
Solution.
  1. \(\displaystyle R=\infty\)

  2. \(\displaystyle (-\infty,\infty)\)

9.6.21.
Solution.
  1. \(\displaystyle R=1\)

  2. \(\displaystyle [-1,1]\)

9.6.23.
Solution.
  1. \(\displaystyle R=0\)

  2. \(\displaystyle x=0\)

9.6.25.
Solution.
  1. \(\ds \fp(x) = \infser n^2x^{n-1}\text{;}\) \((-1,1)\)

  2. \(\ds \int f(x)\, dx = C+\infser[0] \frac{n}{n+1}x^{n+1}\text{;}\) \((-1,1)\)

9.6.27.
Solution.
  1. \(\ds \fp(x) = \infser \frac{n}{2^n}x^{n-1}\text{;}\) \((-2,2)\)

  2. \(\ds \int f(x)\, dx = C+\infser[0] \frac{1}{(n+1)2^n}x^{n+1}\text{;}\) \([-2,2)\)

9.6.29.
Solution.
  1. \(\ds \fp(x) = \infser \frac{(-1)^nx^{2n-1}}{(2n-1)!} =\infser[0] \frac{(-1)^{n+1}x^{2n+1}}{(2n+1)!}\text{;}\) \((-\infty,\infty)\)

  2. \(\ds \int f(x)\, dx = C+\infser[0] \frac{(-1)^nx^{2n+1}}{(2n+1)!}\text{;}\) \((-\infty,\infty)\)

9.6.31.
Solution.

\(1+3x+\frac92x^2+\frac92x^3+\frac{27}{8}x^4\)

9.6.33.
Solution.

\(1+x+x^2+x^3+x^4\)

9.6.35.
Solution.

\(0+x+0x^2-\frac16x^3+0x^4\)

9.7 Taylor Series

Exercises

Terms and Concepts
9.7.1.
Solution.

A Taylor polynomial is a polynomial, containing a finite number of terms. A Taylor series is a series, the summation of an infinite number of terms.

Problems
9.7.3.
Solution.

All derivatives of \(e^x\) are \(e^x\) which evaluate to 1 at \(x=0\text{.}\)

The Taylor series starts \(1+x+\frac12x^2+\frac{1}{3!}x^3+\frac{1}{4!}x^4+\cdots\text{;}\)

the Taylor series is \(\ds \infser[0] \frac{x^n}{n!}\)

9.7.5.
Solution.

The \(n\)th derivative of \(1/(1-x)\) is \(f^{(n)}(x) = (n)!/(1-x)^{n+1}\text{,}\) which evaluates to \(n!\) at \(x=0\text{.}\)

The Taylor series starts \(1+x+x^2+x^3+\cdots\text{;}\)

the Taylor series is \(\ds \infser[0] x^n\)

9.7.7.
Solution.

The Taylor series starts \(0-(x-\pi/2)+0x^2+\frac16(x-\pi/2)^3+0x^4-\frac1{120}(x-\pi/2)^5\text{;}\)

the Taylor series is \(\ds \infser[0] (-1)^{n+1}\frac{(x-\pi/2)^{2n+1}}{(2n+1)!}\)

9.7.9.
Solution.

\(f^{(n)}(x) = (-1)^ne^{-x}\text{;}\) at \(x=0\text{,}\) \(f^{(n)}(0)=-1\) when \(n\) is odd and \(f^{(n)}(0)=1\) when \(n\) is even.

The Taylor series starts \(1-x+\frac12x^2-\frac1{3!}x^3+\cdots\text{;}\)

the Taylor series is \(\ds \infser[0] (-1)^n\frac{x^n}{n!}\text{.}\)

9.7.11.
Solution.

\(f^{(n)}(x) = (-1)^{n+1}\frac{n!}{(x+1)^{n+1}}\text{;}\) at \(x=1\text{,}\) \(f^{(n)}(1)=(-1)^{n+1}\frac{n!}{2^{n+1}}\)

The Taylor series starts \(\frac12+\frac14(x-1)-\frac18(x-1)^2+\frac1{16}(x-1)^3\cdots\text{;}\)

the Taylor series is \(\ds \frac12+\infser (-1)^{n+1}\frac{(x-1)^n}{2^{n+1}}\text{.}\)

9.7.13.
Solution.

Given a value \(x\text{,}\) the magnitude of the error term \(R_n(x)\) is bounded by

\begin{equation*} \abs{R_n(x)} \leq \frac{\max\abs{\,f^{(n+1)}(z)}}{(n+1)!}\abs{x^{(n+1)}}\text{,} \end{equation*}

where \(z\) is between \(0\) and \(x\text{.}\)

If \(x \gt 0\text{,}\) then \(z\lt x\) and \(f^{(n+1)}(z) =e^z\lt e^x\text{.}\) If \(x\lt 0\text{,}\) then \(x\lt z\lt 0\) and \(f^{(n+1)}(z) =e^z\lt 1\text{.}\) So given a fixed \(x\) value, let \(M = \max\{e^x,1\}\text{;}\) \(f^{(n)}(z)\lt M\text{.}\) This allows us to state

\begin{equation*} \abs{R_n(x)} \leq \frac{M}{(n+1)!}\abs{x^{(n+1)}}\text{.} \end{equation*}

For any \(x\text{,}\) \(\lim\limits_{n\to\infty} \frac{M}{(n+1)!}\abs{x^{(n+1)}}= 0\text{.}\) Thus by the Squeeze Theorem, we conclude that \(\lim\limits_{n\to\infty} R_n(x) = 0\) for all \(x\text{,}\) and hence

\begin{equation*} e^x = \infser[0] \frac{x^{n}}{n!} \text{ for all \(x\) }\text{.} \end{equation*}
9.7.15.
Solution.

Per the statement of the problem, we only consider the case \(1\lt x\lt 2\text{.}\)

If \(1\lt x\lt 2\text{,}\) then \(1\lt z\lt x\) and \(f^{(n+1)}(z) =\frac{n!}{z^{n+1}}\lt n!\text{.}\) Thus

\begin{equation*} \abs{R_n(x)} \leq \frac{n!}{(n+1)!}\abs{(x-1)^{(n+1)}}= \frac{(x-1)^{n+1}}{n+1}\lt \frac1{n+1}\text{.} \end{equation*}

Thus

\begin{equation*} \lim_{n\to\infty} \abs{R_n(x)} \lt \lim_{n\to\infty} \frac1{n+1}=0\text{,} \end{equation*}

hence

\begin{equation*} \ln(x) = \sum_{n=1}^\infty (-1)^{n+1}\frac{(x-1)^n}n\,\text{ on } \,(1,2)\text{.} \end{equation*}
9.7.17.
Solution.

Given \(\ds \cos(x) = \infser[0] (-1)^n\frac{x^{2n}}{(2n)!}\text{,}\)

\(\ds\cos(-x) = \infser[0] (-1)^n\frac{(-x)^{2n}}{(2n)!}=\infser[0] (-1)^n\frac{x^{2n}}{(2n)!}=\cos(x)\text{,}\) as all powers in the series are even.

9.7.19.
Solution.

Given \(\ds \sin(x) = \infser[0] (-1)^n\frac{x^{2n+1}}{(2n+1)!}\text{,}\)

\(\ds\frac{d}{dx}\big(\sin(x) \big) = \frac{d}{dx}\left(\infser[0] (-1)^n\frac{x^{2n+1}}{(2n+1)!}\right)=\infser[0] (-1)^n\frac{(2n+1)x^{2n}}{(2n+1)!}=\infser[0] (-1)^n\frac{x^{2n}}{(2n)!}=\cos(x)\text{.}\) (The summation still starts at \(n=0\) as there was no constant term in the expansion of \(\sin(x)\)).

9.7.21.
Solution.

\(\ds 1+\frac x2-\frac{x^2}{8}+\frac{x^3}{16}-\frac{5x^4}{128}\)

9.7.23.
Solution.

\(\ds 1+\frac x3-\frac{x^2}{9}+\frac{5x^3}{81}-\frac{10x^4}{243}\)

9.7.25.
Solution.

\(\ds \infser[0] (-1)^n\frac{(x^2)^{2n}}{(2n)!} = \infser[0] (-1)^n\frac{x^{4n}}{(2n)!}\text{.}\)

9.7.27.
Solution.

\(\ds \infser[0] (-1)^n\frac{(2x+3)^{2n+1}}{(2n+1)!}\text{.}\)

9.7.29.
Solution.

\(\ds x+x^2+\frac{x^3}{3}-\frac{x^5}{30}\)

9.7.31.
Solution.

\(\ds \int_0^{\sqrt{\pi}} \sin\big(x^2\big)\, dx \approx \int_0^{\sqrt{\pi}} \left(x^2-\frac{x^6}6+\frac{x^{10}}{120}-\frac{x^{14}}{5040}\right) dx = 0.8877\)