Abstract
This paper highlights a limitation of state space aggregation based model reduction of Hidden Markov Models. We construct an (n) over cap dimensional Hidden Markov Model that is equivalent to a lower dimensional one of order n < <(n)over cap> for which aggregation based reduction of the high dimensional model is guaranteed not to produce an error free low dimensional model of order n.