Though the true underlying word distribution for each document is unknown and could be far from the sample observationM , the empirical word-word matrixQ converges to its expectation AE[W W T ]A T = ARA T as the number of documents increases.
the learning task is to approximately recover A and R pretending that the empiricalQ is close to the true second-order moment matrix Q.