Statistical Mixture of states

Often we have incomplete information about a system, we do not know the initial state of the system perfectly well.

Example:

In general we handle incomplete information about the initial state using the concept of probability.  We can say that the system has a probability pk of being in a state |ψk>.  (∑kpk = 1.)

We say that we are dealing with a statistical mixture of states.  We now want to know the probability of measuring the eigenvalue an if a measurement of the observable A is made.

Note: Probabilities enter at two levels.

A statistical mixture of states is NOT equivalent to a linear superposition of states.  If a system is in a state  ∑kckψk, then its initial state is exactly known.  If the system has probability pk of being in the state |ψk>, then its initial state is not exactly known.  Even if pk = ck the probability of obtaining the eigenvalue an when measuring A is in general not the same for the two systems.  Interference effects are absent for a statistical mixture.  We cannot describe a statistical mixture using an "average state vector".  However an "average operator", called the density operator permits a simple description of a statistical mixture.