  We consider the $M/G/1$ queue with a processor sharing server. We study the
conditional sojourn time distribution, conditioned on the customer's service
requirement, as well as the unconditional distribution, in various asymptotic
limits. These include large time and/or large service request, and heavy
traffic, where the arrival rate is only slightly less than the service rate.
Our results demonstrate the possible tail behaviors of the unconditional
distribution, which was previously known in the cases $G=M$ and $G=D$ (where it
is purely exponential). We assume that the service density decays at least
exponentially fast. We use various methods for the asymptotic expansion of
integrals, such as the Laplace and saddle point methods.
