The result demonstrated here, which we may refer to as the monotonicity
convergence criterion, can be readily extended to some other cases, which
are easily related to the one we examined in detail above. First of all,
the condition that the coefficients decrease monotonically to zero
need not apply to the whole sequence. It is enough if it holds for all
above a certain minimum value
, because the sum up to this value
is a finite sum and hence there are no convergence issues for this
initial part of the complete sum. Also, it is obvious that we may exchange
the overall sign of the series and still have the result hold true, so
that the coefficients may as well be monotonically increasing to zero from
negative values.
Some other extensions are a bit less obvious. A particularly interesting
one is that in which all coefficients with a certain parity of are
zero, while the others approach zero monotonically. For example, if the
coefficients are only non-zero for
, then the partial sums are given
by
If we consider the angle
and rename the coefficients as
, we may write this as
which has exactly the same structure as the case examined before, with
only trivial differences in the names of the symbols. If we adopt
, we may write
Therefore, so long as the coefficients approach zero
monotonically when
, the result holds for this type of series
as well. The only significant difference is that, since
has as
its domain the periodic interval
, there are now two special
points, where the exceptional case
applies,
and
, corresponding to
and
. At these
points the sine series will converge to a discontinuous function, while
the cosine series will diverge, when the complex series is not absolutely
convergent. On can easily see this because at
and
we have
for all
, and therefore the sine series
converges to zero, while at at
we have
for
all
, and at
we have
for all terms of
the series because
is even, so that the cosine series diverges to
infinity when the complex series is not absolutely convergent.
The complementary case can be treated as well. If the coefficients are
only non-zero for , then the partial sums are given by
Using once again the variable
and the coefficients
, we may write this as
so that once more the problem can be reduced to the previous one, and so
the result holds in this case as well. Just as in the previous case, there
are two special points in this one, and
,
corresponding to
and
. At these points the sine
series converges to zero for the same reason as before, while at
we have
for all
, and at
we
have
for all terms of the series because
is odd, so
that the cosine series diverges to positive or negative infinity when the
complex series is not absolutely convergent. This case includes the
paradigmatic example of the square wave, that has a series of sines with
this type of structure, and two points of discontinuity.
It is immediately apparent that we may further extend the results to
series with coefficients having alternating signs, given for example by
, so long as both the positive and negative coefficients
approach zero monotonically. This type of series can be separated as the
sum of two sub-series, either one of which is convergent by our theorem,
and therefore they converge as well, possibly with the exception of a
couple of special points in the case of the cosine series. In fact, this
can be generalized to cases where the original series can be decomposed
into a finite number of disjoint sub-series, each of which has
coefficients that approach zero monotonically, but in order to do this we
must first discuss series with non-zero terms only every so many terms,
instead of every other term.
This type of extension can be generalized without difficulty to sparser
series, with non-zero coefficients only every so many terms, so long as
they come with a regular step. The extensions just discussed correspond to
the case of step , and in general the result holds as well for series
with step
, which have then
special points. Also, in this case
there are
alternatives for the position of the first element of the
sequence of non-zero terms, which may lead to varying scenarios with
regard to the convergence of the sine and cosine series at the special
points. When there is no absolute convergence at least one of the two
series, the sine series or the cosine series, will diverge at the special
points. Any series which does converge will do so to a function which is
discontinuous at these points. Except for these special points, any sparse
series with a constant step and coefficients that approach zero
monotonically for large values of
is convergent in almost all the
periodic interval.
The identification of the special points of a given series can always be
accomplished, by the use of the algorithm that follows. The divergence of
the complex series at these points is always caused by the alignment of
all the vectors in the complex plane. This happens whenever the
argument of the periodic functions returns to the same value from one
element of the sequence of terms to the next, that is, when
varies by
the length one step of the series,
. Therefore the special
points are determined by the condition
for some integer . The values of
at the special points are
determined by the values of
such that this angle falls within the
periodic interval
. One can verify that there are always
such values of
. One can then determine whether the sine and cosine
series converge or diverge by substituting these values in these periodic
functions. The series can converge when there is no absolute convergence
only if the periodic function is zero for all values of
. Otherwise the
series diverges to infinity. By using this simple algorithm one can always
determine the state of convergence of each series in each special point.
We may further extend our result to what we may call step-
monotonic series. These are series in which all the coefficients may be
non-zero, but that can be separated into
sub-series, each one
with a uniform step of size
. These step-
monotonic series
are those with coefficients which satisfy the condition
and the condition that there exist an integer such that
above a certain minimum value of . Since the number of component
sub-series is finite, so long as all
sub-series are convergent by
the monotonicity criterion, it follows that their sum will necessarily
converge as well. This establishes the convergence of the original series
in all the domain except for a finite set of
special points,
which are common to all the component sub-series, and for which we cannot
conclude anything by this method.
Observe that we may have both positive and negative coefficients
coexisting in such a series, so long as and
always
have the same sign. The alternating-sign series discussed before, with
coefficients with one sign for the even indices and the other sign for the
odd indices, are simple examples of step-
monotonic series.
A more general extension is simple to state, but is such that the series belonging to it are not so easy to identify. One may consider the set of all finite linear combinations of component series which have coefficients that approach zero monotonically. The component series may all have steps different from each other, and their coefficients may approach zero at different and arbitrary rates. So long as the number of series in the linear combination is finite, the resulting series is convergent, possibly with the exception of a finite set of special points. Note that in this case the resulting series may not have coefficients that approach zero monotonically at all.
At last, since the series and
converge to the same
point, so long as the coefficients
tend to zero for
,
and since the series
converges typically much faster than
, in any case in which the series
converges at all,
even if does not do so absolutely, the series
must converge as
well. Next we elaborate on the algorithmic significance of the relation
between these two series.