User:IssaRice/Extreme value theorem

From Machinelearning

Working through the proof in Pugh's book by filling in the parts he doesn't talk about.

For , define to be the image of up to and including .

Let and .

Our goal now is to find some such that . If this is easy.

So now suppose . Then . We already know that is bounded above, for instance by the number . We can thus take the least upper bound of , say . We already know , so if we can just eliminate the possibility that , we will be done.

So suppose . We want to find such that for all . That would mean that . To do this, we split the interval into two parts. Choose with .[note 1] By continuity at , there exists a such that implies . So now pick a point like , and split the interval into and .

  • Since , there exists such that (otherwise would be a smaller upper bound for ). So . This means that for all .
  • But now if , then , so . This means .

Now we can choose . Then whatever happens to be, we can say .

If then by continuity we can find points to the right of where , which contradicts the fact that is an upper bound of such points.

Therefore, , which implies that , a contradiction. So the assumption that was false, and we conclude .

Notes

  1. It is important here that does not equal ; choosing this would be too weak and we would not be able to conclude , rather only that .