General conditions for full abstraction

Full abstraction, i.e. that a function preserves equivalence from a source to a target, has been used extensively as a correctness criterion for mappings between models of computation. I here show that with fixed equivalences, fully abstract functions almost always exist. Also, with the function and one of the equivalences fixed the other equivalence can almost always be found.