Let be an open set and be a function. We say that is real analytic on if for every , there exists such that
One thing important to keep in mind is that the coefficients can be different depending on the center . For example, if on and on , then is real analytic, but
is real analytic on . (It's actually real analytic on , but of course, the power series expansion will be different from the above when .)
Let be a real analytic function on an interval . Assume that the set is non-empty and that there exists and a sequence such that ( is called an accumulation point of ). Then on .
Claim: in an open interval around .
Since is real analytic at , there exists such that
Suppose on . Then at least one of the coefficients must be non-zero or else the series expansion is just . Let be the first number such that . Then
Notice that
(the second limit exists since it's the reciprocal of the radius of convergence of at , which is at least ). Thus, is also real analytic at , and in particular, is continuous.
Since ,
Moreover, because for any , we can divide to get
by continuity of . But
a contradiction. Thus, for all , so is on .
Claim: The set is non-empty, open, and closed.
From the first claim, we already have , so is non-empty.
To see that is open, let , so by definition, there exists such that on . Since open balls are open, for any , there exists such that . But this means that on . Since was arbitrary, this shows , so is open.
Finally, to see that is closed, assume there exists . By definition, there exists a sequence such that . But notice that by definition, so by the first claim, this means that , a contradiction. Thus, , so is closed.
Claim: , i.e., on all of .
is open, and because is closed, is also open. Moreover, . Thus, because is connected and is non-empty, it follows that . (Otherwise, if , then is the union of two disjoint, non-empty, and open sets, which would imply that is disconnected.)
Let be a real or complex vector space. Then an inner product is a function which is:
The dot product on , i.e.,
is an inner product on . Recall that
so intuitively, inner products allow us to talk about angles in more general vector spaces.
The function
defines an inner product on . Thus,
defines a norm on called the -norm.
is not complete with respect to the -norm.
Use Gram-Schmidt to find an orthonormal basis for , where the span is taken over .
We can take since is already normalized. Then
Here,
so . Now we just need to normalize it:
Thus,
is an orthonormal basis for .
Find the function in that minimizes the -distance to .
Recall that the minimizer is the orthogonal projection of to . This is
where is the orthonormal basis from the previous problem. Thus,
so the minimizer is