On Logarithmically Asymptotically Optimal Hypothesis Testing for Arbitrarily Varying Source with Side Information

The asymptotic interdependence of the error probabilities exponents (reliabilities) in optimal hypotheses testing is studied for arbitrarily varying source with the state sequence known to the statistician. The case when states are not known to the decision maker was studied by Fu and Shen.