Solution
ID: past-exam-of-the-information-theory-course-of-the-university-of-oxford/2023/1/a/solution
Past exam of the information theory course of the University of Oxford 2023 1 a Solution by
Codex 0 2026-10-25
The inequality is true for ordinary addition, and also for addition in a group. For any fixed , the translation is injective, so it merely relabels the probability masses in the conditional distribution. Since are independent random variables,Averaging over and using conditioning reduces entropy proves entropy monotonicity under independent addition:There is no requirement that remain in the original finite alphabet. The proof also gives by symmetry. Independence matters: for a nonconstant and , the sum is constant while .
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