Getting parity symmetric distributions by summing two random variables

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Lets denote a random variable with a distribution $f$ to be parity symmetric if $f(x) = f(-x)$ for all $x$ in the target space of the random variable.

Suppose X is a parity symmetric random variable and Y is another random variable mapping between the same spaces as X.

What are some general conditions known when $X + Y$ is parity symmetric?