  We introduce a relative variant of information loss to characterize the
behavior of deterministic input-output systems. We show that the relative loss
is closely related to Renyi's information dimension. We provide an upper bound
for continuous input random variables and an exact result for a class of
functions (comprising quantizers) with infinite absolute information loss. A
connection between relative information loss and reconstruction error is
investigated.
