  Heat fluctuations over a time \tau in a non-equilibrium stationary state and
in a transient state are studied for a simple system with deterministic and
stochastic components: a Brownian particle dragged through a fluid by a
harmonic potential which is moved with constant velocity. Using a Langevin
equation, we find the exact Fourier transform of the distribution of these
fluctuations for all \tau. By a saddle-point method we obtain analytical
results for the inverse Fourier transform, which, for not too small \tau, agree
very well with numerical results from a sampling method as well as from the
fast Fourier transform algorithm. Due to the interaction of the deterministic
part of the motion of the particle in the mechanical potential with the
stochastic part of the motion caused by the fluid, the conventional heat
fluctuation theorem is, for infinite and for finite \tau, replaced by an
extended fluctuation theorem that differs noticeably and measurably from it. In
particular, for large fluctuations, the ratio of the probability for absorption
of heat (by the particle from the fluid) to the probability to supply heat (by
the particle to the fluid) is much larger here than in the conventional
fluctuation theorem.
