If we define a stationary state as a state in which the probability distributions for every observable are constant in time, is it fair to say that a mixed state can also be a stationary state? One usually sees the particular case of a pure state (in which case we need a Hamiltonian eigenstate). However, I think that if we have a (incoherent) mixture of such eigenstates $\rho = \sum_n p_n |E_n\rangle \langle E_n|$ then the trace Born rule should also show that all probability distributions associated with this (mixed) state are time independent too. I'm not sure about this though.
Thus my questions are (1) is my definition of a stationary state correct and (2) can a mixed state therefore be a stationary state?