Ergodic optimization of super-continuous functions on shift spaces

Ergodic optimization is the process of finding invariant probability measures that maximize the integral of a given function. It has been conjectured that 'most' functions are optimized by measures supported on a periodic orbit, and it has been proved in several separable spaces that an open and dense subset of functions is optimized by measures supported on a periodic orbit. All known positive results have been for separable spaces. We give in this paper the first positive result for a non-separable space, the space of super-continuous functions on the full shift, where the set of functions optimized by periodic orbit measures contains an open dense subset.