6 Sequences and Series
A sequence is a list of numbers in a definite order:
Usually sequences are written inside curly brackets:
or
The limit of a sequence , , 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 diverges, since , and the sequence diverges, since .
Some important traits of sequences are defined as follows:
Definition. (Monotonic Sequence)
If for all , then the sequence is increasing, and likewise, if for all , then the sequence is decreasing. Either increasing or decreasing, the sequence is called monotonic.
Definition. (Bounded Sequence)
If for all , then the sequence is bounded above, and likewise, if for all , then the sequence is bounded below. Either bounded above or below, 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 -th term of a sequence generates another sequence . We call this , a series, where . For convergent series, we write
There are in fact numerous kind of series. Let us begin our exploration with a geometric series.
Geometric series takes the form
where .
Let us find a condition for convergence of a geometric series.
Then, . Note that for . Therefore, for ,
Let us utilize the geometric series formula with an example.
Example. Evaluate .
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 if convergent.
Seemingly a similar one, called a harmonic series, in fact diverges to . Let us examine.
Example. Find the sum if convergent.
Note that is in fact the right-hand Riemann sum of to estimate .
Therefore,
Therefore, diverges to .
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 and thus compared with .
Let us further examine the series in the form of by conducting an integral test. What would be the condition for this series to converge?
Let . Then,
1.
Then,
2.
Then,
Therefore, the condition for the convergence of the -series can be summarized as:
The -series is convergent if and only if ; 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 such that . Also, by definition, we can write the -th term of the sequence as . Then,
Above can be succinctly summarized as follows:
Theorem. If the series is convergent, then .
In other words, taking the contrapositive of the theorem,
Corollary. (Test for Divergence)
If does not exist or , then the series 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 .
In fact, we know converges and . Therefore,
Therefore, the series converges (to a value smaller than ).
The technique we used in fact is called a comparison test. To formally write,
Theorem. (Comparison Test)
For converging series and with positive terms,
- If diverges, then diverges.
- If converges, then converges.
Now, suppose we are interested in determining the convergence of . In this case, the comparison test does not help. Instead, we can utilize another technique called the limit comparison test.
Theorem. (Limit Comparison Test)
For converging series and with positive terms, if
then the convergence of both series is the same, i.e. either both diverge or both converge.
Therefore, we conclude is convergent, since
Let us consider a different kind of series, an alternating series, having within its term. A series 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 with , its alternating series
is convergent.
Let us illustrate with an example.
Example. Determine the convergence of .
Let . Then,
1. is a decreasing sequence, since for all
2.
Therefore, by alternating series test, the series is convergent.
Now, let us introduce the concept of absolute convergence.
Definition. (Absolute Convergence)
A series is absolutely convergent if 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
- If , then the series is absolutely convergent.
- If , then the series is divergent.
- If , then the test is inconclusive.
Let us illustrate with an example.
Example. Determine the convergence of .
Let us conduct the ratio test. Then,
Therefore, by the ratio test, the series is divergent.
We conclude this section introducing a similar, but another useful test, the root test.
Theorem. (Root Test)
Given
- If , then the series is absolutely convergent.
- If , then the series is divergent.
- If , then the test is inconclusive.