Abstract :
In this paper we study the notions of relative information
function and relative conditional information function on a relative
probability measure space. We present some examples and prove some
theorems about them. Also the concept of relative information function
for a relative measure preserving transformation is introduced and
some of its properties, are proved. Finally, it is proved that the relative
information function of relative measure preserving transformations is
invariant under isomorphism.