Mathematical models for time evolution can be differential equations
whose solutions represent motions developing in continuous time
or, often, maps whose -th iterate
represents motions developing at discrete integer times
. The point representing the state of the system at time
is denoted in the continuous time
models or, at the -th observation,
in the discrete time models. Here will be points on
a manifold or respectively, called the
''phase space'', or the space of the states, of the system.
The connection between the two representations of motions is
illustrated by means of the following notion of ``timing event''.
Physical observations are always performed at discrete times: ''i.e.''
when some special, prefixed, ''timing'' event occurs, typically
when the state of the system is in a set and
triggers the action of a ``measurement apparatus'', ''e.g.''
shooting a picture after noting the position of a clock arm. If
comprises the collection of the timing events,
''i.e.'' of the states of the system which induce the
act of measurement, motion of the system can also be represented as a
map defined on .
For this reason mathematical models are often maps which associate
with a timing event , ''i.e.'' a point
in the manifold of the measurement
inducing events, the next timing event .
If the system motions also admit a continuous time representation on a
space of states then there will be a simple
relation between the evolution in continuous time and the discrete representation
in discrete integer times , between successive timing
events, namely , if
is the time elapsing between the timing event
and the subsequent one
The discrete time representation is particularly useful mathematically
in cases in which the continuous evolution shows singularities: the
latter can be avoided by choosing timing events which occur when the
point representing the system is not singular nor too close to a
singularity (when the physical measurements become difficult or
impossible).