Solution

ID: past-exam-of-the-communication-theory-course-of-the-university-of-oxford/2011/1/a/solution

Use the continuous convention . Let . Applying the allowed logarithm inequality to for gives
Hence . Equality forces . Since every is strictly positive, this makes the entire alphabet. Equality in every weighted logarithm inequality then forces for every . Conversely makes every summand zero. Thus
This is Gibbs inequality for relative entropy, with zero probabilities in the first argument handled explicitly.

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