I'm reading J.L Vazquez "Porous Medium Equation" book. In it, he says the following:
We are given a function $a:\Omega \times (0,T) \to \mathbb{R}$ such that $a \geq 0$. We find a smooth approximation $a_\epsilon$ of $a$ such that $\epsilon \leq a_\epsilon \leq K$.
...
We now have to examine the way we construct the approximation. We do it like this: given $\epsilon > 0$, we select a height $K > \epsilon > 0$, and define $a_{K, \epsilon} = \min\{K, \max\{\epsilon, a\}\}$ (we will be taking $K$ very large and $\epsilon$ small), and then we take smooth approximations $a_n \to a_{K, \epsilon}$ in $L^p$.
Later on, the author chooses $n=n(\epsilon, K)$ large enough to achieve something.
Question: I'm a bit confused about what he uses for the approximation $a_\epsilon$. It seems when he explains how the approximation is done, he eventually ends up $a_n$ -- is this supposed to be relabelled $a_\epsilon$? And the height K depends on $\epsilon$.. can someone write this better? Mainly I am interested in: how does $K$ depend upon $\epsilon$?
No, $K$ does not depend on $\epsilon$. Rather, both $K$ and $\epsilon$ depend on the quality of approximation we want. A precise statement would be:
We can't really control $\epsilon, K$; if the given $\delta$ is small, then $\epsilon$ will have to be very small, and $K$ very large.
How to prove the above: define $a_{K, \epsilon} = \min\{K, \max\{\epsilon, a\}\}$ as the author does. Observe that $$\|a_{K, \epsilon} -a \|_p^p = \int_{a<\epsilon} a^p + \int_{a>K } a^p$$
This function $b$ is what we wanted.
The author probably had a good reason to call the approximating function $a_\epsilon$, although I don't see this reason from the quoted passage.