While much more can be said about sequences, we now turn to our principal interest, series. Recall that a series, roughly speaking, is the sum of a sequence: if is a sequence then the associated series is
Associated with a series is a second sequence, called the sequence of partial sums:
with
So A series converges if the sequence of partial sums converges, and otherwise the series diverges.
Example 11.2.1: Geometric Series
If , then
is called a geometric series. A typical partial sum is
We note that
so
If , so
Thus, when the geometric series converges to . When, for example, and :
We began the chapter with the series namely, the geometric series without the first term . Each partial sum of this series is 1 less than the corresponding partial sum for the geometric series, so of course the limit is also one less than the value of the geometric series, that is,
It is not hard to see that the following theorem follows from theorem 11.1.2.
Theorem 11.2.2
Suppose that and are convergent series, and is a constant. Then
- is convergent and
- is convergent and .
The two parts of this theorem are subtly different. Suppose that diverges; does also diverge if is non-zero? Yes: suppose instead that converges; then by the theorem, converges, but this is the same as , which by assumption diverges. Hence also diverges. Note that we are applying the theorem with replaced by and replaced by .
Now suppose that and diverge; does also diverge? Now the answer is no: Let and , so certainly and diverge. But
Of course, sometimes will also diverge, for example, if , then diverges.
In general, the sequence of partial sums is harder to understand and analyze than the sequence of terms , and it is difficult to determine whether series converge and if so to what. Sometimes things are relatively simple, starting with the following.
Theorem 11.2.3
If
converges then
Proof.
Since converges, and , because this really says the same thing but "renumbers'' the terms. By theorem 11.1.2,
But
so as desired .
This theorem presents an easy divergence test: if given a series the limit does not exist or has a value other than zero, the series diverges. Note well that the converse is not true: If then the series does not necessarily converge.
Example 11.2.4
Show that
diverges.
Solution
We compute the limit: Looking at the first few terms perhaps makes it clear that the series has no chance of converging:
will just get larger and larger; indeed, after a bit longer the series starts to look very much like , and of course if we add up enough 1's we can make the sum as large as we desire.
Example 11.2.5: Harmonic Series
Show that
diverges.
Solution
Here the theorem does not apply: , so it looks like perhaps the series converges. Indeed, if you have the fortitude (or the software) to add up the first 1000 terms you will find that so it might be reasonable to speculate that the series converges to something in the neighborhood of 10. But in fact the partial sums do go to infinity; they just get big very, very slowly. Consider the following:
and so on. By swallowing up more and more terms we can always manage to add at least another to the sum, and by adding enough of these we can make the partial sums as big as we like. In fact, it's not hard to see from this pattern that
so to make sure the sum is over 100, for example, we'd add up terms until we get to around , that is, about terms. This series, , is called the harmonic series.