How many Hamiltonian circuits are there in a complete, undirected and simple graph with $n$ vertices?
The answer written in my book is: $$\frac{\left(n-1\right)!}{2}$$
What is the combinatorial explanation to this?
My best shot was to try to count for each size of Hamiltonian circuit (triangles, quadrilaterals, pentagons and so on), how many of each there is, and to sum them. So I tried to count for each amount of edges the amount as possibilities, to complete it to the mentioned shapes.
I mean for n vertices, I choose any 2 vertices (that's an edge) and for each other vertex by connecting from each vertex from my edge by new edges, I can create a triangle, which is a Hamiltonian circle of size 3 and so on. But there are a lot of repeats and that's a mess.
Maybe I didn't get the point at all, because the expression: $$\frac{\left(n-1\right)!}{2}$$
seems to be to me no more than the amount of Euler circles (each vertex degree is 2) which I order in a circle, so $(n-1)!$ is the possibilities to order $n$ different elements in a circle and divide by 2, because of the reflection.
Isn't a Hamiltonian circuit in such a graph an $n$-cycle, so it could be triangle, quadrilateral, and so on?