Cauchy’s Condition
We defined the real numbers to be a complete uniform space, meaning that limits of sequences are convergent if and only if they are Cauchy. Let’s write these two out in full:
- A sequence
is convergent if there is some
so that for every
there is an
such that
implies
.
- A sequence
is Cauchy if for every
there is an
such that
and
implies
.
See how similar the two definitions are. Convergent means that the points of the sequence are getting closer and closer to some fixed . Cauchy means that the points of the sequence are getting closer to each other.
Now there’s no reason we can’t try the same thing when we’re taking the limit of a function at . In fact, the definition of convergence of such a limit is already pretty close to the above definition. How can we translate the Cauchy condition? Simple. We just require that for every
there exist some
so that for any two points
we have
.
So let’s consider a function defined in the ray
. If the limit
exists, with value
, then for every
there is an
so that
implies
. Then taking
as well, we see that
and so the Cauchy condition holds.
Now let’s assume that the Cauchy condition holds. Define the sequence . This is now a Cauchy sequence, and so it converges to a limit
, which I assert is also the limit of
. Given an
, choose an
so that
for any two points
and
above
whenever
Just take a for each condition, and go with the larger one. In fact, we may as well round
up so that
for some natural number
. Then for any
we have
and so the limit at infinity exists.
In the particular case of an improper integral, we have . Then
. Our condition then reads:
For every there is a
so that
implies
.
[...] read in Cauchy’s condition as follows: the series converges if and only if for every there is an so that for all the sum [...]