Cauchy’s Condition for Uniform Convergence
As I said at the end of the last post, uniform convergence has some things in common with convergence of numbers. And, in particular, Cauchy’s condition comes over.
Specifically, a sequence converges uniformly to a function
if and only if for every
there exists an
so that
and
imply that
.
One direction is straightforward. Assume that converges uniformly to
. Given
we can pick
so that
implies that
for all
. Then if
and
we have
In the other direction, if the Cauchy condition holds for the sequence of functions, then the Cauchy condition holds for the sequence of numbers we get by evaluating at each point . So at least we know that the sequence of functions must converge pointwise. We set
to be this limit, and we’re left to show that the convergence is uniform.
Given an the Cauchy condition tells us that we have an
so that
implies that
for every natural number
. Then taking the limit over
we find
Thus the convergence is uniform.

[...] we’ve got Cauchy’s condition: a series converges uniformly if for every there is an so that and both greater than zero [...]
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In the Cauchy –> Uniform convergence direction, could you clarify the step “taking the limit over k”? until this point you have only established pointwise convergence. But in this step it feels like you’ve presupposed uniform convergence in saying f_n+k –> f(x).
I know you’re not doing anything wrong, because Rudin has the same proof. I’m just confused and would appreciate the help
I believe they forgot to mention that the conditions for the Cauchy criterion here also include that for each epsilon the N chosen must hold for all x in the domain of the sequence of functions; from there you can see that is indeed true.