Extension to Kummer's test
[edit]
Assuming:
- an > 0 for all n
- Dn > 0 for all n
Kummer's test defines:

and states that:
- If there exists a c such that
for all n, then
converges
- If
for all n, and
diverges, then
diverges.
The proposed extension is written:

where εn is a sequence of real numbers such that
.
I think it can be shown that:
- If there exists a c such that
for all n, then there exists a c such that
for all n and so
converges.
- If
for all n, and
diverges, then
for all n and so
diverges.
The problem remains to either show that when
and
diverges,
diverges, or to find further restrictions on εn such that it does diverge, so that the convergence properties specified by
are the same as specified by
.
The above equation for
can be solved for an:

where Qn is the product:

and Q1=1. We may take an and Dn to be unity, without loss of generality. So now we wish to find when

diverges. (Note that when εn = 0, the product Qn = 1, and we recover the simple Kummer's test, and so
diverges since
diverges).
Abel's test applied to the above sequences states that if:
converges
is monotone and bounded
then

coverges. In the present case,
is NOT bounded since εnDn -> 0, but I think Abel's theorem can be modified to prove that if
converges
is unbounded
then

diverges.
So now we just need to deal with the first assumption (
converges). It can be easily seen that

so we want to look at the convergence of
which equals Q-1 where Q is defined as:
SO THE CONDITION THAT Q EXISTS is the restriction the εn must obey in order that
diverge for the case when
.
According to Knopp[1] (page 224, Theorem 9), if
converges, Qn will converge to Q. Also according to Knopp (page 225 supplementary theorem), if
converges, Qn will converge to Q.
So these are two restrictions on εn that will assure divergence of
: εnDn must converge to zero, and one or both of the above two conditions on εn apply. (Note these two conditions are sufficient, but not necessary: if they don't apply, that doesn't mean Q does not exist)
Using the extensions to prove extensions to Raabe's and Bertrand's tests and Gauss's test
[edit]
- For Raabe's test, use Dn = n and
where Bn is a bounded sequence. All of the above requirement on εn are met.
- For Gauss's test, use Dn = n and
where Bn is a bounded sequence and r > 1. All of the above requirement on εn are met.
- For Bertrand's test, use Dn = n ln(n) and
where Bn is a bounded sequence. All of the above requirement on εn are met.
Since the ratio test is Kummer's test for Dn = 1, similar extensions could be made to the ratio test.