It is well known that if g
belongs to L2, then
is the characteristic function of an absolutely continuous distribution function.
Conversely, every such characteristic function has the representation given above.
Rere we shown that if R(s,t) is a covariance function such that R(s,s) belongs to L1,
then
is the characteristic function of an absolutely continuous distribution. Conversely, every
such characteristic function has the latter representation (put R(s,t) = g(s)g(t)). The
use of this new result is that certain functions are directly seen to be of the second
form but not the first; hence, they can be identifled as characteristic functions of
absolutely continuous distributions.
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