Posted 2022-04-17
There are a few important questions that popped up while writing many of the bounds present in this paper. One of the main questions that popped up repeatedly was: when are the solutions to the physics equation bounded over all possible designs?
One specific case in which this question is useful is in the field bounds paragraph in pages 18 and 19 of the paper, though more generally this question can also help answer a number of other important results (which we do not mention here).
Unfortunately, this post will end in a bit of a disappointing note: the result given here depends on some condition which is likely not easy to check in practice. On the other hand, it does lead to a suggestive definition I have never seen before of an "elementwise nonexpansive operator." I would be quite curious to see if anyone had any references!
In this case, we will again focus on the diagonal physics equation. Here, the physics equation is:
where are the design parameters (usually the permittivities in many problems) while are the fields. In general, we are only allowed to choose parameters within a certain range, so we will write this as
without loss of generality. (In particular, if is constrained to lie within any range, we can always rescale the physics equation to make lie between and . For more details on how to do this, see section 1.2 of the paper.)
Taking this formulation, we can "eliminate" the design parameter. In other words, we will write a number of equations, depending only on the variable , such that, when satisfies all the equations, there exists some design which makes the physics equation true.
To do this, note that, we can take the initial physics equation and rearrange it as follows:
Taking the elementwise absolute value of both sides gives
(Here, we interpret to be elementwise.) Because , we can see that
so
In fact, is true if, and only if, . Meaning the inequality we just derived, depending only on , is true if, and only if, there exists some design satisfying that makes the original physics equation true.
The nice part about this equation is that it encapsulates all of the important parts of the problem in a simple-to-reason-about format. (It also suggests some interesting heuristics, but that's for another time!)
Now, finally, to answer the question! At least partially.
The proof technique here is relatively simple: we will