The standard definition ofalgorithm to compute the factorial function $N!$ is a closed form whose timevia repeated multiplications has complexity is $\mathcal{O}(N!) = N$$\mathcal{O}(N)$, in the model in which each operation costs 1, no matter how many digits the operands have. Intuitively, it would seem that this cost could not be improved.
However, how can we be sure? What if there is some clever equivalent definition of the function where $\mathcal{O}(N!) = \log(N)$, oralgorithm with complexity $\log(\log(N))$$\mathcal{O}(\log(N))$, or $N^{0.998}$$\mathcal{O}(N^{0.998})$? If so, how could we know it is possible, or find an example? If not, why not?
For clarity, I'm not talking about functions whose big-O is $N!$, I'm talking about the big-O of $N!$ itself.
Edit: Yes I know I'm abusing big O notation, but writing "$\mathcal{O}(f)$ where $f(N) = N!$" wouldn't fit easily in a title and $\mathcal{O}(!)$ looks silly and confusing at first glance.