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The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate
The generalized Poor-Verdu error lower bound for multihypothesis testing is
revisited. Its asymptotic expression is established in closed-form as its
tilting parameter grows to infinity. It is also shown that the asymptotic
generalized bound achieves the error exponent (or reliability function) of the
memoryless binary symmetric channel at zero coding rates