The symmetric difference between two set $A$ and $B$ denoted $A \triangle B$ is defined as the set $(A - B) \cup (B - A)$ or equivalently $(A \cup B) - (A \cap B)$. Some years ago I was quite excited to find that the set $\mathcal{P}(N)$ of all $2^n$ subsets of an $n$-element set $N$ forms a abelian group under the $\triangle$-operation.
Being older and wiser it is easy to see where this group comes from: replacing every subset $A$ of $N$ with its indicator function, that is: by a vector of $n$ zeroes and ones indicating whether or not the first element of $N$ is in $A$, whether or not the second element is etc, we see that taking the symmetric difference of sets corresponds to adding the indicator vectors mod 2. In other words: the group we find is the underlying abelian group of the vector space $\mathbb{F}_2^n$.
Now for the question. $\mathbb{F}_2^n$ is more commonly written $\mathbb{F}_{2^n}$ and the reason is that on top of being a vector space it is also a field. In other words: there is a, really beautiful, way of mutliplying these vectors. The question then is: what does this multiplication look like when described in terms of sets? Starting from the 'abstract' field $\mathbb{F}_{2^n}$ there seem to be many ways and a lot of arbitrary choices involved when picking a way to write the elements as vectors, but perhaps, starting from sets with symmetric differences as addition there is a 'most beautiful way' to add multiplication to the picture?
What we want is a second operations on subsets of $N$ that distributes over $\triangle$ and of course an example is not hard to find: intersection will do. But looking at the vector picture again we that this gives the stupid pointwise multiplication of vectors. This is definitely not the field multiplication as it produces zero (the empty set) whenever we try to 'multiply' two disjoint subsets.
So my question is: what 'even more' beautiful set operation corresponds to the multiplication in $\mathbb{F}_{2^n}$ when letting it act on all subsets of a set of $n$ elements?
EDIT: as requested in the comments I will say something about the small cases. First for $n = 1$ we note that in this very small case pointwise and field multiplication coincide, so we can use the intersection. Thinking about intersections we note that (if nothing else) the idea of taking the field element 1 to be the full set $N$ might be something to take with us from this example to the larger cases with fancier set operations. After all, 1 is the only element besides 0 we know that is present and easily recognizable in every field, and similarly the full set is the only subset besides the empty set which is equally easy to identify in all cases.
Running with $1 = N$ leaves us with pretty much only one possibility in the the $n = 2$ case: any singleton set squared gives the other singleton set while their product equals 1 (i.e. all of $N$). Writing $c: \mathcal{P}(N) \to \mathcal{P}(N)$ for the complement-operator this 'multiplication' can be written as
$$A * B = c^{|A||B|}(A \cap B).$$ this formula looks pretty nice, but already breaks down in the $n = 1$ case. If we take the more agnostic stand point that $A * B = c^{f(A, B)}(A \cap B)$ for 'some' function $f$ we still get nowhere as this formula is bound to give elements satisfying $x^3 = 1$ while we want all elements to satisfy $x^{2^n - 1} = 1$, with at least one $x$ not satisfying $x^k = 1$ for any $k < 2^n -1$.
However, if there is any good idea in this $n = 2$ case to take with us to higher cases (similar to the idea of taking 1 to be the full set from the n = 1 case) then my bet would be it is the idea of taking $A^{-1}$ to be the complement of $A$. UPDATE: nope. Taking $A^{-1}$ to be the complement of $A$, (that is: $1 + A$ in the field view) for all elements $A$ leads to a contradiction in the $n = 3$ case. We have to think of something else.