The entropy of the sum of independent ternary random variables is maximized when the first n-1 variables are uniform on {0,2} and the nth follows a specific distribution defined by binomial entropies.
Kova cevi\'c, ``On the maximum entropy of a sum of independent discrete random variables,'' Theory Probab
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IT 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Maximum Entropy of Sums of Independent Ternary Random Variables
The entropy of the sum of independent ternary random variables is maximized when the first n-1 variables are uniform on {0,2} and the nth follows a specific distribution defined by binomial entropies.