In my search for this statement I wrote this question (a few years ago) When $\delta$ decreases should $\epsilon$ decrease? (In the definition of a limit when x approaches $a$ should $f(x)$ approach its limit $L$? ) however, it had the deltas and epsilons all backwards and wrong. Then I thought I had finally solved what I was looking for when I wrote this answer. Since then I've been trying to fix my proof in that answer with no success. My list of questions about my proof just pile up. The proof is as follows:
Theorem: if $\epsilon_2 < \epsilon_1 \implies \delta^*_{\epsilon_2} \leq \delta^*_{\epsilon_1}$ for any limit in consideration $\lim_{x \rightarrow p} f(x) = q$.
Formal proof:
Let $\epsilon_2 < \epsilon_1$. Let the set of all deltas that work for a given $\epsilon_i$ to be defined as follows:
$$ D_{\epsilon_i} = \{ \delta \in R \mid \forall x \in E, 0< d(x,p) < \delta \implies d(f(x),q) < \epsilon_i \} $$
now define the largest radiuses that are within their corresponding tolerance $\epsilon_i$ as follows:
$$ \delta^*_{\epsilon_1} = \sup D_{\epsilon_1} $$ $$ \delta^*_{\epsilon_2} = \sup D_{\epsilon_2} $$
notice that for $ \delta^*_{\epsilon_2} $ (corresponding to the tighter tolerance level) we have the following condition (notice the last inequality):
$$ D_{\epsilon_1} = \sup \{ \delta \in R \mid \forall x \in E, 0< d(x,p) < \delta \implies d(f(x),q) < \epsilon_2 < \epsilon_1 \} $$
the tighter inequality implies that the set of points that satisfy that must be smaller and thus also the $\delta$ must be smaller since, if $\delta_{\epsilon_2} \in D_{\epsilon_2}$ then it must mean that $\forall x \in E, 0 < |x - p| < \delta_{\epsilon_2} \implies |f(x) - > L| < \epsilon_2$ but since this same delta $\delta_{\epsilon_2}$ satisfies $\forall x \in E, 0 < |x - p| < \delta_{\epsilon_2} \implies |f(x) - L| < \epsilon_2 < \epsilon_1$ then it must mean that $\delta_{\epsilon_1} \in D_{\epsilon_1}$.
So we have:
$$ D_{\epsilon_2} \subseteq D_{\epsilon_1} $$
since $ D_{\epsilon_1} $ contains all points of $ D_{\epsilon_2} $ or less, it cannot introduce a larger number by accident. Therefore we have the following holds for their supremums then:
$$ \sup D_{\epsilon_2} \leq \sup D_{\epsilon_1} $$
which is equivalent to:
$$ \delta^*_{\epsilon_2} \leq \delta^*_{\epsilon_1} $$
as required.
In essence my question is, why does my proof not work?
But to answer my question I think I've collected a few question to guide what is specifically bothering me and where I think the mistake is:
- does the constant function provide a counter example to the type of proof I am after?
- what class of functions satisfy the property that I want and why? Why is monotonicity so important? what step would monotonicity would make my proof work?
- what class of functions does my proof not work in?
- I know that there are example where one can have a decreasing epsilon but an increasing delta (which is counter to my intuition of how limits should work). If that is true how does that not invalidate my statement that $ D_{\epsilon_2} \subseteq D_{\epsilon_1}$? How does that not invalidate $\delta^*_{\epsilon_1} \leq \delta_{\epsilon_2}$? I just don't understand why that counter example works becuase my intuition is that if epsilon decreases then it becomes tighter and so there should be less deltas that should work. But there seems to be that not only works but that is larger...what is going on?
- My proof as its written is for general function so what I am really interested is working out what exact step of my proof requires monotonicity or what step would break the proof if I am not careful and what type of function or arguments would break that step. That is really what I care about more than more examples in general.
any help appreciated!