  We treat the class of universal Markov processes on the d-dimensional
Euklidean space which do not depend on random. For these, as well as for
several subclasses, we prove criteria whether a function f, defined on the
positive half-line, can be a path of a process in the respective class. This is
useful in particular in the construction of (counter-)examples. Furthermore we
characterize the processes of this kind, which are homogeneous in space and
time. The semimartingale property is characterized in terms of the jumps of a
one-dimensional deterministic Markov process. We emphasize the differences
between the time homogeneous and the time inhomogeneous case and we show that a
deterministic Markov process is in general more complicated than a Hunt process
plus 'jump structure'.
