1.4 Series
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We have already discussed what it means for a sequence of complex numbers to converge. Recall that if is a sequence in then we say converges to if for all there exists such that for all .
Definition (Series)
Fix a sequence in . We can form a new sequence
by adding together terms. We can write
using summation notation. Any sequence defined in this way is caled a series.
We usually write a series as
without explicitly writing down the summands .
Definition (Convergence of a Series)
Let be a sequence in . We say that the series
converges if the sequence of partial sums
converges. The limit of this sequence of partial sums is called the sum of the series and we say that the series converges to the limit. A series which does not converge is called
divergent.
Example
The series
diverges, because the sequence
of partial sums diverges.
It is often difficult to determine whether a series converges, and even harder to determine the limit of a convergin series. A lot of what we will be able to calculate about series comes from the geometric series.
Example
(The geometric series)
Fix with . The series
is called the geometric series. From
we get .
Since we have as and
so
whenever .
Theorem (Properties of Converging Series)
Suppose that
and
converge to and respectively. Then the following are all true.
- as
- converges to
- converges to
Definition
The series is said to converges absolutely if the series converges.
Lemma
If a series converges absolutely then it converges.
Proof:
We prove that the sequence
is Cauchy. Fix . Since the sequence
converges by assumption, it is Cauchy and there is such that
for all . From the triangle inequality
so the sequence is also Cauchy.
Convergence is much more delicate than absolute convergence. It is easy to give an example of a series that is convergent but not absolutely convergent: the alternating series
is such an example.
In this course we will usually be working with absolutely convergent series. This will turn out to be because - very much unlike the situation in real analysis - holomorphic functions will have Taylor expansions on open balls that converge absolutely.
We conclude this section with some techniques for proving that a series converges absolutely. We will apply these tools to power series in the next section.
Theorem (Comparison Test)
If for all large enough, and converges then so does .
As is the case with real series, we have ratio and root tests that can sometimes tell us whether a series converges or diverges. Since they boil down to comparisons with geometric series, they can only tell us if a series converges absolutely: they are therefor unsuitable for series with complicated oscillations.
Theorem (Ratio Test)
Fix a sequence of non-zero complex numbers.
- If the series converges absolutely.
- If the series diverges.
Proof:
- There is and such that, for all , one has
giving for all by induction. Since the series converges by comparison with the geometric series.
- There is and such that, for all , one has
giving for all by induction. It follows that does not converge to 0 as . Thus the series diverges.
Example
Verify that
converges.
Solution:
We have
so
and the series converges absolutely by the ratio test.
Theorem (Root test)
Fix a sequence of complex numbers.
- If the series converges absolutely.
- If the series diverges.
Proof:
The proof is similar to that of the ratio test, except that one instead has for all large enough in the first case, and for all large enough in the second.
Both tests are inconclusive when their respective limits equal 1.
The root test does not require all the terms in the series to be non-zero. Often the ratio test is easier to apply, but the root test is more powerful: there are series for which the ratio test is inconcluse and for which the root test is not.