8.2 Infinite Series

OBJECTIVES

When you finish this section, you should be able to:

  1. Determine whether a series has a sum (p. 554)
  2. Analyze a geometric series (p. 557)
  3. Analyze the harmonic series (p. 561)
    Using a geometric series in a biology application (p. 562)
Figure 17

Is it possible for the sum of an infinite collection of nonzero numbers to be finite? Look at Figure 17. The square in the figure has sides of length 1 unit, making its area \(1\) square unit. If we divide the square into two rectangles of equal area, each rectangle has an area of \(\dfrac{1}{2}\) square unit. If one of these rectangles is divided in half, the result is one rectangle of area \(\dfrac{1}{2}\) square unit and two squares, the area of each equaling \(\dfrac{1}{4}\) square unit. If we were to continue the process of dividing one of the smallest regions in half, we would obtain a decomposition of the original area of 1 square unit into rectangles of area \(\dfrac{1}{2}\), \(\dfrac{1}{4},\) \(\dfrac{1}{8},\) \(\dfrac{1}{16},\) and so forth. Therefore, \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{ 1=\dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8}+\dfrac{1}{16}+\cdots }} \]

554

Surprised?

Now look at this result from a different point of view by starting with the infinite sum \[ \begin{equation*} \dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8}+\dfrac{1}{16}+\cdots \tag{1} \end{equation*} \]

One way we might add the fractions is by using partial sums to see whether a trend develops. The first five partial sums are \[ \begin{eqnarray*} \dfrac{1}{2} &=& 0.5 \\ \dfrac{1}{2}+\dfrac{1}{4} &=& \dfrac{3}{4}=0.75 \\ \dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8} &=& \dfrac{3}{4}+\dfrac{1}{8}=\dfrac{7}{8}=0.875 \\ \dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8}+\dfrac{1}{16} &=& \dfrac{7}{8}+\dfrac{1}{16}=\dfrac{15}{16}=0.9375 \\ \dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8}+\dfrac{1}{16}+\dfrac{1}{32} &=& \dfrac{15}{16}+\dfrac{1}{32}=\dfrac{31}{32}=0.96875 \end{eqnarray*} \]

Each of these sums uses more terms from (1), and each sum seems to be getting closer to 1. The infinite sum in (1) is an example of an infinite series.

spanDEFINITIONspan Infinite Series

If \(a_{1}\), \(a_{2}\), \(\ldots ,\) \(a_{n},\) \(\ldots\) is an infinite collection of numbers, the expression \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{\sum\limits_{k\,=\,1}^{\infty}a_{k}=a_{1}+~a_{2}+ \cdots +~a_{n}+ \cdots }} \]

is called an infinite series or, simply, a series.

The numbers \(a_{1}, a_{2},\ldots , a_{n}, \ldots\) are called the terms of the series, and the number \(a_{n}\) is called the \(n\) th term or general term of the series. The symbol \(\sum\) stands for summation; \(k\) is the index of summation. Although the index of summation can begin at any integer, in most of our work with series, it will begin at \(1\).

NEED TO REVIEW?

Sums and summation notation are discussed in Appendix A.5, pp. A-40 to A-42.

1 Determine Whether a Series Has a Sum

To define a sum of an infinite series \(\sum\limits_{k\,=\,1}^{\infty }a_{k}\), we make use of the sequence \(\{S_{n}\}\) defined by \[ \begin{array}{cl} S_{1} & =a_{1} \\ S_{2} & =a_{1}+~a_{2}= \sum\limits_{k\,=\,1}^{2}a_{k} \\ \vdots & \\ S_{n} & =a_{1}+~a_{2}+ \cdots +a_{n}=~\sum\limits_{k\,=\,1}^{n}a_{k} \\ \vdots & \end{array} \]

This sequence \(\{S_{n}\}\) is called the sequence of partial sums of the series \(\sum\limits_{k\,=\,1}^{\infty }a_{k}\).

For example, consider again the series \[ \sum_{k\,=\,1}^{\infty }\frac{1}{2^{k}}=\frac{1}{2} +\frac{1}{2^{2}}+\frac{1 }{2^{3}}+\frac{1}{2^{4}}+\cdots =\frac{1}{2}+\frac{1}{4}+\frac{1}{8}+\frac{1 }{16}+\cdots \]

555

As it turns out, the partial sums \(S_{n}\) can each be written as \(1\) minus a power of \(\dfrac{1}{2}\), as follows: \[ \begin{array}{cll} S_{1} &=& a_{1}=\dfrac{1}{2}=1-\dfrac{1}{2} \\[8pt] S_{2} &=& S_{1}+a_{2}=\left( 1-\dfrac{1}{2}\right) +\dfrac{1}{4}=1-\dfrac{1}{4}=1-\dfrac{1}{2^{2}} \\[10pt] S_{3} &=& S_{2}+a_{3}=\left( 1-\dfrac{1}{4}\right) +\dfrac{1}{8}=1-\dfrac{1}{8}=1-\dfrac{1}{2^{3}} \\[10pt] S_{4} &=& S_{3}+a_{4}=\left( 1-\dfrac{1}{8}\right) +\dfrac{1}{16}=1-\dfrac{1}{16}=1-\dfrac{1}{2^{4}} \\[3pt] & &\vdots \\[4pt] S_{n} &=& 1-\dfrac{1}{2^{n}} \\[3pt] & & \vdots \end{array} \]

The \(n\)th partial sum is \(S_{n}=1-\dfrac{1}{2^{n}}\), and as \(n\) increases, the sequence \(\{S_{n}\}\) of partial sums approaches a limit. That is, \[ \lim\limits_{n\rightarrow \infty }S_{n}=\lim\limits_{n\rightarrow \infty }\left( {1-\frac{1}{2^{n}}}\right) =\lim_{n\,\rightarrow \,\infty}1-\lim\limits_{n\rightarrow \infty }\,\frac{1}{2^{n}}=1-0=1 \]

We agree to call this limit the sum of the series, and we write \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{ \sum\limits_{k\,=\,1}^{\infty}\dfrac{1}{2^{k}}=\dfrac{1}{2}+\dfrac{1}{4}+\dfrac{1}{8}+\dfrac{1}{16}+\cdots =1}} \]

spanDEFINITIONspan Convergence, Divergence of an Infinite Series

If the sequence \(\{S_{n}\}\) of partial sums of an infinite series \(\sum\limits_{k\,=\,1}^{\infty }a_{k}\) has a limit \(S\), then the series converges and is said to have the sum \(S\). That is, if \(\lim\limits_{n\,\rightarrow \,\infty }S_{n}=S\), then \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{\sum\limits_{k\,=\,1}^{\infty}a_{k}=a_{1}+ a_{2}+\cdots + a_{n}+\cdots =S }} \]

An infinite series diverges if the sequence of partial sums diverges.

Finding the Sum of a Series

Show that \[ \sum_{k\,=\,1}^{\infty }\frac{1}{k(k+1)}=\frac{1}{1\cdot 2}+\frac{1}{2\cdot 3 }+\frac{1}{3\cdot 4}+\cdots =\frac{1}{2}+\frac{1}{6}+\frac{1}{12}+\cdots =1 \]

Solution We begin with the sequence \(\{S_{n}\}\) of partial sums, \[ \begin{array}{cl} S_{1} &= \dfrac{1}{1\cdot 2} \\[10pt] S_{2} &= \dfrac{1}{1\cdot 2}+\dfrac{1}{2\cdot 3} \\[10pt] S_{3} &= \dfrac{1}{1\cdot 2}+\dfrac{1}{2\cdot 3}+\dfrac{1}{3\cdot 4} \\ \vdots & \\ S_{n} &= \dfrac{1}{1\cdot 2}+\dfrac{1}{2\cdot 3}+\dfrac{1}{3\cdot 4}+\cdots +\dfrac{1}{n(n+1)} \\ \vdots & \end{array} \]

556

Since \[ \begin{array}{l@{\hspace{14.5pt}}l} \dfrac{1}{n(n+1)}=\dfrac{1}{n}-\dfrac{1}{n+1} & {\color{#0066A7}{{\hbox{Use partial fractions.}}}} \end{array} \]

\(S_{n}\) can be written as \[ S_{n}=\left( {\frac{1}{1}-\frac{1}{2}}\right) +\left( {\frac{1}{2}-\frac{1}{3 }}\right) +\cdots +\left( {\frac{1}{n-1}-\frac{1}{n}}\right) +\left( {\frac{1 }{n}-\frac{1}{n+1}}\right) \]

After removing parentheses notice that all the terms except the first and last cancel, so that \[ S_{n}=1-\frac{1}{n+1} \]

Then \[ \lim_{n\rightarrow \infty }S_{n}=\lim_{n\rightarrow \infty }\left( {1-\frac{1 }{n+1}}\right) =1 \]

The series \(\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{k(k+1)}\) converges, and its sum is \(1\).

NOTE

Sums for which the middle terms cancel, as in Example 1, are called telescopingsums.

NOW WORK

Problem 11.

Showing a Series Diverges

Show that the series \(\sum\limits_{k\,=\,1}^{\infty }(-1)^{k}=-1+1-1+\cdots\) diverges.

Solution The sequence \(\{S_{n}\}\) of partial sums for this series is \[ \begin{array}{c@{}l} S_{1} &= -1 \\ S_{2} &= -1+1=0 \\ S_{3} &= -1+1-1=-1 \\ S_{4} &= -1+1-1+1=0 \\ \vdots & \\ S_{n} &= \left\{ \begin{array}{r@{\qquad}l@{\quad}l} -1 & \hbox{if} & n \hbox{ is odd} \\ 0  & \hbox{if} & n \hbox{ is even} \end{array} \right.\end{array} \]

Since \(\lim\limits_{n\rightarrow \infty }S_{n}\) does not exist, the sequence \(\{S_{n}\}\) of partial sums diverges. Therefore, the series diverges.

NOW WORK

Problem 49.

Determining Whether a Series Converges or Diverges

Determine whether the series \(\sum\limits_{k\,=\,1}^{\infty }k=1+2+3+\cdots\) converges or diverges.

Solution The sequence \(\{S_{n}\}\) of partial sums is \[ \begin{array}{c@{}l} S_{1} & =1 \\ S_{2} & =1+2 \\ S_{3} & =1+2+3 \\ \vdots & \\ S_{n} & =1+2+3+\cdots +n \end{array} \]

557

To express \(S_{n}\) in a way that will make it easy to find \(\lim\limits_{n\,\rightarrow \,\infty }S_{n},\) we use the formula for the sum of the first \(n\) integers: \[ S_{n}=\sum\limits_{k=1}^{n}k=1+2+3+ \cdots +n=\dfrac{n(n+1) }{2} \]

Since \(\lim\limits_{n\,\rightarrow \,\infty }S_{n}=\lim\limits_{n\,\rightarrow \,\infty }\dfrac{n(n+1) }{2} =\infty ,\) the sequence \(\{S_{n}\}\) of partial sums diverges. So, the series \(\sum\limits_{k\,=\,1}^{\infty }k\) diverges.

RECALL

\[ \sum\limits_{k=1}^{n}{ k=1+2+\cdots +n} =\dfrac{n(n+1)}{2}. \]

(See Appendix A.5, p. A-41.)

NOW WORK

Problem 43.

2 Analyze a Geometric Series

Geometric series occur in a large variety of applications including biology, finance, and probability. They are also useful in analyzing other infinite series.

spanDEFINITIONspan Geometric Series

A series of the form \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{ \sum\limits_{k\,=\,0}^{\infty}ar^{k}=\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}=a+ar+ar^{2}+\cdots +ar^{n-1}+\cdots }} \]

where \(a\neq 0\) is called a geometric series.

In a geometric series, the ratio \(r\) of any two consecutive terms is a fixed real number.

To investigate the conditions for convergence of a geometric series, we examine the \(n\)th partial sum: \[ \begin{equation*} S_{n}=a+ar+ar^{2}+\cdots +ar^{n-1} \tag{1} \end{equation*} \]

If \(r=0,\) the \(n\)th partial sum is \(S_{n}=a\) and \(\lim\limits_{n\rightarrow \infty }S_{n}=a.\) The sequence of partial sums converges when \(r=0.\)

If \(r=1\), the series becomes \(\sum\limits_{k\,=\,1}^{\infty }a=a+a+\cdots +a+\cdots \), and the \(n\)th partial sum is \[ S_{n}=a+a+\cdots +a=na \]

Since \(a\neq 0,\) \(\lim\limits_{n\rightarrow \infty }S_{n}=\infty \) or \(-\infty ,\) so the sequence \(\{S_{n}\}\) of partial sums diverges when \(r=1.\)

If \(r=-1\), the series is \(\sum\limits_{k\,=\,1}^{\infty }a(-1)^{k-1}=a-a+a-a+\cdots\) and the \(n\)th partial sum is \[ S_{n}=\left\{ \begin{array}{l@{\qquad}ll} 0 & \hbox{ if } & n \hbox{ is even} \\ a & \hbox{ if} & n \hbox{ is odd} \end{array} \right. \]

Since \(a\neq 0,\) \(\lim\limits_{n\rightarrow \infty }S_{n}\) does not exist. The sequence \(\{S_{n}\}\) of partial sums diverges when \(r=-1.\)

Suppose \(r\neq 0,\) \(r\neq 1,\) and \(r\neq -1\). Since \(r\neq 0,\) we multiply both sides of (1) by \(r\) to obtain \[ rS_{n}=ar+ar^{2}+\cdots +ar^{n} \]

Now subtract \(rS_{n}\) from \(S_{n}.\) \[ \begin{eqnarray*} S_{n}-rS_{n} &=& (a+ar+ar^{2}+\cdots +ar^{n-1})-(ar+ar^{2}+\cdots +ar^{n-1}+ar^{n})\\ &=& a-ar^{n} \\ S_{n}(1-r) &=& a(1-r^{n}) \end{eqnarray*} \]

558

Since \(r\neq 1\), the \(n\)th partial sum of the geometric series can be expressed as \[ S_{n}=\dfrac{a(1-r^{n})}{1-r}=\dfrac{a-ar^{n}}{1-r}=\dfrac{a}{1-r}-\dfrac{ ar^{n}}{1-r}\ \]

Now, \[ \lim\limits_{n\rightarrow \infty }S_{n}=\lim\limits_{n\rightarrow \infty }\left[ \frac{a}{1-r}-\frac{ar^{n}}{1-r}\right] =\lim\limits_{n\rightarrow \infty } \frac{a}{1-r}-\lim\limits_{n\rightarrow \infty }\frac{ar^{n}}{1-r}=\frac{a}{1-r} -\frac{a}{1-r}\lim\limits_{n\rightarrow \infty }r^{n} \]

We now use the fact that if \(\vert r\vert <1\), then \(\lim\limits_{n\,\rightarrow \,\infty }\,r^{n}=0\) (refer to page 546 in Section 8.1). We conclude that if \(\vert r\vert <1,\) then \(\lim\limits_{n\,\rightarrow \,\infty }S_{n}=\dfrac{a}{1-r}.\) So, a geometric series converges to \(S=\dfrac{a}{1-r}\) if \(-1<r<1.\)

If \(\vert r\vert >1,\) use the fact that \(\lim\limits_{x\, \rightarrow \,\infty }r^{n}\) does not exist to conclude that a geometric series diverges if \(r<-1\) or \(r>1.\)

This proves the following theorem:

THEOREM Convergence of a Geometric Series

  • If \(\vert r\vert <1\), the geometric series \(\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}\) converges, and its sum is \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}=\dfrac{a}{1-r}}} \]
  • If \(\vert r\vert \geq 1\), the geometric series \(\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}\) diverges.

Determining Whether a Geometric Series Converges

Determine whether each geometric series converges or diverges. If it converges, find its sum.

  1. \(\sum\limits_{k\,=\,1}^{\infty }8 \left( \frac{2}{5}\right)^{k-1}\)
  2. \(\sum\limits_{k\,=\,1}^{\infty }\left(-\frac{5}{9}\right) ^{k-1}\)
  3. \(\sum\limits_{k\,=\,1}^{\infty }3 \left( \frac{3}{2}\right) ^{k-1}\)
  4. \(\sum\limits_{k\,=\,1}^{\infty }\frac{1}{2^{k}}\)
  5. \(\sum\limits_{k\,=\,0}^{\infty }\left( \frac{1}{3}\right) ^{k-1}\)

Solution We compare each series to \(\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}\).

(a) In this series \(a=8\) and \(r=\dfrac{2}{5}\). Since \(\vert r\vert=\dfrac{2}{5}<1\), the series converges and \[ \sum\limits_{k\,=\,1}^{\infty }8 \left( \frac{2}{5}\right) ^{k-1}=\frac{8}{1-\dfrac{2}{5}}=8 \left( \frac{5}{3}\right) =\frac{40}{3} \]

(b) Here, \(a=1\) and \(r=-\dfrac{5}{9}\). Since \(\vert r\vert =\dfrac{5}{9}<1\), the series converges and \[ \sum\limits_{k\,=\,1}^{\infty }\left( -\frac{5}{9}\right) ^{k-1}=\frac{1}{ 1-\left( -\dfrac{5}{9}\right) }=\frac{9}{14} \]

559

(c) Here, \(a=3\) and \(r=\dfrac{3}{2}\). Since \( \vert r\vert =\dfrac{3}{2}>1\), the series \(\sum\limits_{k\,=\,1}^{\infty}3 \left( \dfrac{3}{2}\right) ^{k-1}\) diverges.

(d) \(\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{2^{k}}\) is not in the form \(\sum\limits_{k\,=\,1}^{\infty }ar^{k-1}\). To place it in this form, we proceed as follows: \[ \begin{eqnarray*} &\sum\limits_{k\,=\,1}^{\infty }~\frac{1}{2^{k}}=\sum\limits_{k\,=\,1}^{ \infty }\left( \frac{1}{2}\right) ^{k} = \sum\limits_{k\,=\,1}^{\infty }\left[ \dfrac{1}{2}\cdot \left( \dfrac{1}{2} \right) ^{k-1}\right] \\[-13pt] &\hspace{2pc} \underset{\color{#0066A7}{{{\hbox{Write in the form}}}} {\color{#0066A7}{\hbox{\(\sum\limits_{k=1}^{\infty}ar^{k-1}\)}}}}{\color{#0066A7}{{{\kern1pt\left\uparrow{\vphantom{\vrule width0pc height8pt depth0pt}}\right.}}}} \end{eqnarray*} \]

So, \(\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{2^{k}}\) is a geometric series with \(a=\dfrac{1}{2}\) and \(r=\dfrac{1}{2}\). Since \(\vert r\vert <1,\) the series converges, and its sum is \[ \sum\limits_{k\,=\,1}^{\infty }\frac{1}{2^{k}}=\frac{\dfrac{1}{2}}{1-\dfrac{ 1}{2}}=1 \]

which agrees with the sum we found earlier.

(e) \(\sum\limits_{k\,=\,0}^{\infty }\left( \dfrac{1}{3}\right) ^{k-1}\) starts at \(0,\) so it is not in the form, \(\sum\limits_{k\,=1}^{ \infty }ar^{k-1}\). To place it in this form, change the index to \(l\), where \(l=k+1.\) Then when \(k=0,\) \(l=1\) and \[ \sum\limits_{k\,=\,0}^{\infty }\left( \dfrac{1}{3}\right) ^{k-1} = \sum\limits_{l=1}^{\infty }\left(\dfrac{1}{3}\right) ^{l-2}=\sum\limits_{l=1}^{\infty }\left(\dfrac{1}{3}\right) ^{-1}\left( \dfrac{1}{3}\right) ^{l-1}=\sum\limits_{l=1}^{\infty }3 \left( \dfrac{1}{3} \right)^{l-1} \]

That is, \(\sum\limits_{k\,=\,0}^{\infty }\left( \dfrac{1}{3}\right) ^{k-1}=\sum\limits_{l=1}^{\infty }3 \left( \dfrac{1}{3}\right) ^{l-1}\) is a geometric series with \(a=3\) and \(r=\dfrac{1}{3}.\) Since \(\vert r\vert <1,\) the series converges, and its sum is \[ \sum\limits_{k\,=\,0}^{\infty }\left( \dfrac{1}{3}\right) ^{k-1}=\dfrac{3}{1-\dfrac{1}{3}}=\dfrac{9}{2} \]

NOW WORK

Problems 21 and 29.

Writing a Repeating Decimal as a Fraction

Express the repeating decimal \(0.090909\ldots\) as a quotient of two integers.

Solution We write the infinite decimal \(0.090909\ldots\) as an infinite series: \[ \begin{eqnarray*} 0.090909\ldots &=& 0.09 + 0.0009+0.000009+0.00000009+\cdots \\ &=& \dfrac{9}{100}+\dfrac{9}{10000} +\dfrac{9}{1000000}+\cdots \\ &=& \dfrac{9}{100}\left( 1+\dfrac{1}{100}+\dfrac{1}{10000}+\dfrac{1}{1000000} +\cdots\right) \\ &=& \sum\limits_{k\,=\,1}^{\infty }\dfrac{9}{100}\left( \frac{1}{ 100}\right) ^{k-1} \end{eqnarray*} \]

560

This is a geometric series with \(a=\dfrac{9}{100}\) and \(r=\dfrac{1}{100}\). Since \(\left\vert  r\right\vert <1\), the series converges and its sum is \[ \sum\limits_{k\,=\,1}^{\infty }\dfrac{9}{100}\left( \frac{1}{100}\right) ^{k-1}=\frac{\dfrac{9}{100}}{1-\dfrac{1}{100}}=\frac{9}{99}=\frac{1}{11} \]

So, \(0.090909\ldots \,=\dfrac{1}{11}\).

NOW WORK

Problem 59.

Figure 18

Using a Geometric Series with a Bouncing Ball

A ball is dropped from a height of 12m. Each time it strikes the ground, it bounces back to a height three-fourths the distance from which it fell. Find the total distance traveled by the ball. See Figure 18.

Solution Let \(h_{n}\) denote the height of the ball on the \(n\)th bounce. Then \[ \begin{array}{cl} h_{0} & =12 \\ h_{1} & =\dfrac{3}{4}(12) \\ h_{2} & =\dfrac{3}{4}\left[ \dfrac{3}{4}(12)\right] =\left( \dfrac{3}{4}\right) ^{2}(12) \\ \vdots & \\ h_{n} & =\left( \dfrac{3}{4}\right) ^{n}(12) \end{array} \]

After the first bounce, the ball travels up a distance \(h_{1}=\dfrac{3}{4}(12)\) and then the same distance back down. Between the first and the second bounce, the total distance traveled is therefore \(h_{1}+h_{1}=2h_{1}\). The total distance \(H\) traveled by the ball is \[ \begin{eqnarray*} H=h_{0}+2h_{1}+2h_{2}+2h_{3}+\cdots &=& h_{0}+\sum\limits_{k\,=\,1}^{\infty }\left( 2h_{k}\right) =12+\sum\limits_{k\,=\,1}^{\infty }2 \left[ 12 \left( { \frac{3}{4}}\right) ^{k}\right]\\[8pt] &=& 12+\sum\limits_{k\,=\,1}^{\infty }24\left[ \frac{3}{4}\left( {\frac{3}{4}}\right) ^{k-1}\right] \\ &=& 12+\sum\limits_{k\,=\,1}^{\infty }18\left( {\frac{3}{4}}\right) ^{k-1} \end{eqnarray*} \]

The sum is a geometric series with \(a=18\) and \(r=\dfrac{3}{4}\). The series converges and \[ H=12+\sum\limits_{k\,=\,1}^{\infty }18\left( \frac{3}{4}\right) ^{k-1}=12 + \frac{18}{1-\dfrac{3}{4}}=84 \]

The ball travels a total distance of \(84\) m.

NOW WORK

Problem 63.

3 Analyze the Harmonic Series

561

Another useful series, even though it diverges, is the harmonic series.

spanDEFINITIONspan Harmonic Series

The infinite series \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{k}=1+ \dfrac{1}{2}+\dfrac{1}{3}+\cdots }} \]

is called the harmonic series.

THEOREM

The harmonic series \(\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{k}\) diverges.

RECALL

An unbounded sequence diverges (p. 547).

Proof

To show that the harmonic series diverges, we look at the partial sums whose indexes of summation are powers of \(2\). That is, we investigate the sequence \(S_{1}\), \(S_{2}\), \(S_{4}\), \(S_{8}\), and so on. We can show that this sequence is not bounded as follows: \[ \begin{array}{l} S_{1}=1>\dfrac{1}{2}=1\left( \dfrac{1}{2}\right)\\[10pt] S_{2}=1+\dfrac{1}{2}>\dfrac{1}{2}+\dfrac{1}{2}=2\left( \dfrac{1}{2}\right)\\[10pt] S_{4}=1+\dfrac{1}{2}+\left( \dfrac{1}{3}+\dfrac{1}{4}\right) >2\left( \dfrac{ 1}{2}\right) +\left( \dfrac{1}{4}+\dfrac{1}{4}\right) =3\left( \dfrac{1}{2}\right)\\ S_{8}=1+\dfrac{1}{2}+\left( \dfrac{1}{3}+\dfrac{1}{4}\right) +\left( \dfrac{1}{5}+\dfrac{1}{6}+\dfrac{1}{7}+\dfrac{1}{8}\right)\\ \quad \, >3\left( \dfrac{1}{2}\right) +\left( \dfrac{1}{8}+\dfrac{1}{8}+\dfrac{1}{8}+\dfrac{1}{8}\right) =4\left( \dfrac{1}{2}\right)\\ \vdots \\ \hspace{-10pt} S_{2^{n-1}}>n\left( \dfrac{1}{2}\right) \end{array} \]

We conclude that the sequence \(\left\{ S_{2^{n-1}}\right\}\) is not bounded, so the sequence \(\{S_{n}\}\) of partial sums is not bounded. It follows that the sequence \(\{S_{n}\}\) of partial sums diverges. Therefore, the harmonic series \(\sum\limits_{k\,=\,1}^{\infty }\dfrac{1}{k}\) diverges.

Summary

562

Using a Geometric Series in a Biology Application*

Children’s Hospital of Philadelphia (2009), Retinoblastoma, http://www.CHOP.edu. J. V. Neel & W. J. Schull (1958), Human heredity, 3rd ed. (pp. 333–334), Chicago: University of Chicago Press. Reprinted by permission.

This application deals with the rate of occurrence of retinoblastoma, a rare type of eye cancer in children. An allele (allelomorph) is a gene that gives rise to one of a pair of contrasting characteristics, such as smooth or rough, tall or short. Each person normally has two such genes for each characteristic. An individual may have two “tall” genes, two “short” genes, or one of each. In reproduction, each parent gives one of the two types to the child.

The tendency to develop retinoblastoma apparently depends on the mutation of both copies of a gene, called RB1. The mutation rate from a normal RB1 allele to the mutant RB1 in each generation is approximately \(m=0.00002=2\times 10^{-5}\). In this example, we ignore the very unlikely possibility of mutation from an abnormal RB1 to a normal RB1 gene. At the beginning of the twentieth century, retinoblastoma was nearly always fatal, but by the early 1950s, approximately 70% of children affected with the disease survived, although they usually became blind in one or both eyes. The current (2009) survival rate is about 95% and the goals of treatment are to prevent the tumor cells from growing and spreading and to preserve vision.

Assume that survivors reproduce at about half the normal rate. (The assumption is based on scientific guesswork.) Then the productive proportion of persons affected with the retinoblastoma in 2009 was \(r=\left( 0.5\right) \left( 0.95\right) =0.475\). This rate is remarkable, considering that in 1900, \(r\approx 0\), and in 1950 \(r\approx 0.35.\)

Starting with zero inherited cases in an early generation, for the \(n\)th consecutive generation, we obtain a rate of \[ \begin{array}[t]{l} m & {\hbox{due to mutation in the nth generation}} \\ mr & {\hbox{due to mutation in the (n-1)st generation}} \\ mr^{2} & {\hbox{due to mutation in the (n-2)nd generation}}\\ \hspace{-8pt}\vdots\hspace{8pt}\\ mr^{n} & {\hbox{due to mutation in the zero (original) generation}} \end{array} \]

Then, the total rate of occurrence of the disease in the \(n\)th generation is \[ p_{n}=m+mr+\cdots +mr^{n}=\frac{m(1-r^{n+1})}{1-r} \]

from which \[ p=\lim_{n\rightarrow \infty }p_{n}=\frac{m}{1-r}=\dfrac{2\times 10^{-5}}{1-0.475}=3.810\times 10^{-5} \]

indicating that the total rate of persons affected with the disease will be almost twice the mutation rate.

Notice that if \(r=0\), as in 1900, then \(p=m=2\times 10^{-5}\), and that if \(r=0.35,\) as in 1950, then \(p=3.08\times 10^{-5}.\) We see that with better medical care, retinoblastoma has become more frequent. As medical care improves, the rate of occurrence of the disease can be expected to become even greater. As Neel and Schull pointed out, with improved medical care, the frequency of an abnormal gene RB1 increases rapidly at first, then more slowly, until an equilibrium point is reached.

*Adapted from J. L. Young & M. A. Smith (1999), Retinoblastoma. In L. A. G. Ries, M. A. Smith, J. G. Gurney, M. Linet, T. Tamra, J. L. Young, & G. R. Bunin (Eds.), Cancer incidence and survival among children and adolescents: United States SEER Program, 1975–1995, NIH Pub. No. 99-4649, Bethesda, MD: National Cancer Institute.