  We derive several tests for the presence of a periodic component in a time
series of functions. We consider both the traditional setting in which the
periodic functional signal is contaminated by functional white noise, and a
more general setting of a contaminating process which is weakly dependent.
Several forms of the periodic component are considered. Our tests are motivated
by the likelihood principle and fall into two broad categories, which we term
multivariate and fully functional. Overall, for the functional series that
motivate this research, the fully functional tests exhibit a superior balance
of size and power. Asymptotic null distributions of all tests are derived and
their consistency is established. Their finite sample performance is examined
and compared by numerical studies and application to pollution data.
