In statistics, Lukacs's proportion-sum independence theorem is a result that is used when studying proportions, in particular the Dirichlet distribution. It is named after Eugene Lukacs.
If Y<sub>1</sub> and Y<sub>2</sub> are non-degenerate, independent random variables, then the random variables
are independently distributed if and only if both Y<sub>1</sub> and Y<sub>2</sub> have gamma distributions with the same scale parameter.
Suppose Y<sub> i</sub>, i = 1, ..., k be non-degenerate, independent, positive random variables. Then each of k − 1 random variables
is independent of
if and only if all the Y<sub> i</sub> have gamma distributions with the same scale parameter.