6 Sequences and Series

A sequence is a list of numbers in a definite order:

    \[a_1,\,a_2,\,a_3,\,\cdots,\,a_n,\,\cdots\]

Usually sequences are written inside curly brackets:
\{a_n\} or \{a_1,\,a_2,\,a_3,\,\cdots,\,a_n,\,\cdots\}

The limit of a sequence \{a_n\}, \lim_{n\to\infty}a_n, may or may not exist. We say a sequence converges or is convergent when the limit exists, and diverges or is divergent when the limit does not exist. For example, the sequence a_n=n diverges, since \lim_{n\to\infty}a_n=\infty, and the sequence b_n=\frac{1}{n} diverges, since \lim_{n\to\infty}b_n=0.

Some important traits of sequences are defined as follows:

Definition. (Monotonic Sequence)
If a_n < a_{n+1} for all n\in \mathbb{N}, then the sequence \{a_n\} is increasing, and likewise, if a_n > a_{n+1} for all n\in \mathbb{N}, then the sequence a_n is decreasing. Either increasing or decreasing, the sequence is called monotonic.

Definition. (Bounded Sequence)
If a_n \leq M for all n\in \mathbb{N}, then the sequence \{a_n\} is bounded above, and likewise, if a_n \geq m for all n\in \mathbb{N}, then the sequence \{a_n\} is bounded below. Either bounded above or below, \{a_n\} is a bounded sequence.

Consequently, we arrive at a theorem.

Theorem. (Monotonic Sequence Theorem).
If a sequence is bounded and monotonic, then the sequence is convergent.

Proof.
Suppose a sequence is divergent. Then, the sequence has no bound or is alternating – as in a repetition of a certain loop or as in the decimals of an irrational number. Alternating sequence is not monotonic. Therefore, a divergent sequence has no bound or not monotonic. Then, taking the contrapositive, if a sequence is bounded and monotonic, then the sequence is convergent.

It is interesting to see each partial sum up to the n-th term of a sequence \{a_n\} generates another sequence \{s_n\}. We call this \{s_n\}, a series, where s_n=\sum_{i=1}^{n}a_i. For convergent series, we write

    \[ \sum_{n=1}^{\infty}a_n=s\]

There are in fact numerous kind of series. Let us begin our exploration with a geometric series.

Geometric series takes the form

    \[ \sum_{n=1}^{\infty}ar^{n-1}\]

where a \neq 0.

Let us find a condition for convergence of a geometric series.

    \begin{align*} s_n &= a+ar+ar^2+\cdots +ar^{n-1}\\ rs_n &= \quad\;\;\: ar+ar^2+\cdots +ar^{n-1}+ar^n \end{align*}

Then, (1-r)s_n = a\left(1-r^n \right). Note that \lim_{n\to\infty}r^n=0 for r\in(-1,1). Therefore, for |r|<1,

    \[ s=\frac{a}{1-r}\]

Let us utilize the geometric series formula with an example.

Example. Evaluate \sum_{n=1}^{\infty} \frac{3\cdot 2^{2n}}{9^n}.

    \begin{align*} \sum_{n=1}^{\infty} \frac{3\cdot 2^{2n}}{9^n} &= \sum_{n=1}^{\infty} 3\left(\frac{4}{9}\right)^n\\ &= \frac{3\cdot \frac{4}{9}}{1-\frac{4}{9}}\\ &= \frac{12}{5} \end{align*}

Another type of interesting series is a telescoping series. Its name originates from the cancellation involved in the solution path and only a handful of terms remain as a result, as a telescope is collapsed. Again, let us illustrate with an example.

Example. Find the sum \sum_{n=1}^{\infty} \frac{1}{n(n+1)} if convergent.

    \begin{align*} &\sum_{n=1}^{\infty} \frac{1}{n(n+1)}\\ = &\sum_{n=1}^{\infty} \left( \frac{1}{n} - \frac{1}{n+1}\right)\\ = &\lim_{n \to \infty} \left[ \left( 1-\frac{1}{2}\right) + \left( \frac{1}{2} - \frac{1}{3}\right) + \left( \frac{1}{3} - \frac{1}{4} \right) + \cdots + \left( \frac{1}{n}-\frac{1}{n+1}\right)\right]\\ = &\lim_{n \to \infty} \left( 1-\frac{1}{n+1}\right)\\ = &1 \end{align*}

Seemingly a similar one, called a harmonic series, in fact diverges to \infty. Let us examine.

Example. Find the sum \sum_{n=1}^{\infty} \frac{1}{n}= 1+\frac{1}{2}+\frac{1}{3}+\cdots + \frac{1}{n}+\cdots if convergent.

Note that 1+\frac{1}{2}+\frac{1}{3}+\cdots + \frac{1}{n}+\cdots is in fact the right-hand Riemann sum of y=\frac{1}{x} to estimate \int_{1}^{\infty} \frac{1}{x}\,dx.

Therefore,

    \begin{align*} \sum_{n=1}^{\infty} \frac{1}{n} &= 1+\frac{1}{2}+\frac{1}{3}+\cdots + \frac{1}{n}+\cdots\\ &> \int_{1}^{\infty} \frac{1}{x}\,dx\\ &= \lim_{t \to \infty} \int_{1}^{t} \frac{1}{x}\,dx\\ &= \lim_{t \to \infty} \left[ \ln|x|\right]_1^t\\ &= \lim_{t \to \infty} \ln|t|\\ &= \infty \end{align*}

Therefore, \sum_{n=1}^{\infty} \frac{1}{n} diverges to \infty.

The technique we just used in determining the convergence of the harmonic series is called an integral test (for the convergence of a series), when a given series can be interpreted as a Riemann sum of a function f(x) and thus compared with \int_{1}^{\infty} f(x)\,dx.

Let us further examine the series in the form of \sum_{n=1}^{\infty}\frac{1}{n^p} by conducting an integral test. What would be the condition for this series to converge?

Let p\neq 1. Then,

    \begin{align*} \sum_{n=1}^{\infty}\frac{1}{n^p} &= 1+\frac{1}{2^p}+\frac{1}{3^p}+\cdots + \frac{1}{n^p}+\cdots\\ &> \int_{1}^{\infty} \frac{1}{x^p}\,dx\\ &= \lim_{t \to \infty} \int_{1}^{t} x^{-p}\,dx\\ &= \lim_{t \to \infty} \left[ \frac{x^{-p+1}}{-p+1}\right]_{1}^{t}\\ &= \lim_{t \to \infty} \frac{1}{1-p}\left[ \frac{1}{t^{p-1}}-1\right] \end{align*}

1.  p<1
Then, \lim_{t \to \infty} \frac{1}{1-p}\left[ \frac{1}{t^{p-1}}-1\right] = \infty

2. p>1
Then, \lim_{t \to \infty} \frac{1}{1-p}\left[ \frac{1}{t^{p-1}}-1\right] = \frac{1}{p-1}

Therefore, the condition for the convergence of the p-series \sum_{n=1}^{\infty}\frac{1}{n^p} can be summarized as:

The p-series is convergent if and only if p>1; otherwise divergent.

Now we come to think what is a condition for any series to converge. Let us suppose a series converges, i.e. there exists s such that \lim_{n \to \infty}s_n=s. Also, by definition, we can write the n-th term of the sequence \{a_n\} as a_n=s_n-s_{n-1}. Then,

    \begin{align*} \lim_{n \to \infty}a_n &= \lim_{n \to \infty}\left(s_n-s_{n-1}\right)\\ &= s-s\\ &= 0 \end{align*}

Above can be succinctly summarized as follows:

Theorem. If the series \sum_{n=1}^{\infty}a_n is convergent, then \lim_{n \to \infty}a_n=0.

In other words, taking the contrapositive of the theorem,

Corollary. (Test for Divergence)
If \lim_{n \to \infty} does not exist or \lim_{n \to \infty} \neq 0, then the series \sum_{n=1}^{\infty}a_n is divergent.

To examine the convergence of a given series, so far we have conducted integral tests. The comparison test is essentially the same in that we compare a given series with a known series that converges or diverges. For example,

Example. Determine the convergence of \sum_{n=1}^{\infty}\frac{1}{3^n+1}.

In fact, we know \sum_{n=1}^{\infty}\frac{1}{3^n} converges and \sum_{n=1}^{\infty}\frac{1}{3^n+1}<\sum_{n=1}^{\infty}\frac{1}{3^n+1}. Therefore,

    \begin{align*} \sum_{n=1}^{\infty}\frac{1}{3^n+1} &< \sum_{n=1}^{\infty}\frac{1}{3^n+1}\\ &= \frac{\frac{1}{3}}{1-\frac{1}{3}}\\ &= \frac{1}{2} \end{align*}

Therefore, the series \sum_{n=1}^{\infty}\frac{1}{3^n+1} converges (to a value smaller than \frac{1}{2}).

The technique we used in fact is called a comparison test. To formally write,

Theorem. (Comparison Test)
For converging series \sum a_n and \sum b_n with positive terms,

  • If \sum a_n diverges, then \sum b_n diverges.
  • If \sum b_n converges, then \sum a_n converges.

Now, suppose we are interested in determining the convergence of \sum_{n=1}^{\infty}\frac{1}{3^n-1}. In this case, the comparison test \sum_{n=1}^{\infty}\frac{1}{3^n-1} > \sum_{n=1}^{\infty}\frac{1}{3^n+1} does not help. Instead, we can utilize another technique called the limit comparison test.

Theorem. (Limit Comparison Test)
For converging series \sum a_n and \sum b_n with positive terms, if
    \[ \lim_{n \to \infty} \frac{a_n}{b_n}=c\in \mathbb{R}^+\]
then the convergence of both series is the same, i.e. either both diverge or both converge.

Therefore, we conclude \sum_{n=1}^{\infty}\frac{1}{3^n-1} is convergent, since

    \[ \lim_{n \to \infty} \frac{\frac{1}{3^n}}{\frac{1}{3^n-1}} =\lim_{n \to \infty}\left( 1-{\frac{1}{3^n}}\right) =1\]

Let us consider a different kind of series, an alternating series, having (-1)^n within its term. A series \sum_{n=1}^{\infty}\frac{(-1)^n}{3^n-1} is an e example of alternating series. In fact, there is a test for convergence for certain types of alternating series.

Theorem. (Alternating Series Test)
For decreasing sequence b_n with \lim_{n \to \infty}b_n=0, its alternating series
    \[ \sum_{n=1}^{\infty}(-1)^{n-1}b_n\]
is convergent.

Let us illustrate with an example.

Example. Determine the convergence of \sum_{n=1}^{\infty}\frac{(-1)^{n-1}}{n}.

Let b_n=\frac{1}{n}. Then,

1. b_n is a decreasing sequence, since \frac{1}{n+1}<\frac{1}{n} for all n\in\mathbb{N}
2. \lim_{n \to \infty}b_n=\lim_{n \to \infty}\frac{1}{n}=0

Therefore, by alternating series test, the series \sum_{n=1}^{\infty}\frac{(-1)^{n-1}}{n} is convergent.

Now, let us introduce the concept of absolute convergence.

Definition. (Absolute Convergence)
A series \sum a_n is absolutely convergent if \sum |a_n| is convergent.

The notion of absolute convergence was needed for the ratio test. The ratio test is highly useful a test in determining the convergence of a series. The ratio is defined as follows:

Theorem. (Ratio Test)
Given
    \[ \lim_{n \to \infty}\left\vert \frac{a_{n+1}}{a_n} \right\vert=L\]

  1. If L<1, then the series \sum_{n=1}^{\infty} a_n is absolutely convergent.
  2. If L>1, then the series \sum_{n=1}^{\infty} a_n is divergent.
  3. If L=1, then the test is inconclusive.

Let us illustrate with an example.

Example. Determine the convergence of \sum_{n=1}^{\infty}\frac{n^n}{n!}.

Let us conduct the ratio test. Then,

    \begin{align*} \lim_{n \to \infty}\left\vert \frac{\frac{(n+1)^{n+1}}{(n+1)!}}{\frac{n^n}{n!}} \right\vert &= \lim_{n \to \infty} \left( \frac{n+1}{n}\right)^n\\ &= \lim_{n \to \infty} \left( 1+\frac{1}{n}\right)^n\\ &= e\\ &>1 \end{align*}

Therefore, by the ratio test, the series \sum_{n=1}^{\infty}\frac{n^n}{n!} is divergent.

We conclude this section introducing a similar, but another useful test, the root test.

Theorem. (Root Test)
Given
    \[ \lim_{n \to \infty} \sqrt[n]{|a_n|}=L\]

  1. If L<1, then the series \sum_{n=1}^{\infty} a_n is absolutely convergent.
  2. If L>1, then the series \sum_{n=1}^{\infty} a_n is divergent.
  3. If L=1, then the test is inconclusive.

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