Moments and Stability of the Standard Normal Distribution
lemmaProbabilitylem:gaussian-stability-2026aLet be the set of \reftext{def:real-numbers-c54-2026c}{real numbers} and the set of \reftext{def:natural-numbers-2026a}{natural numbers}.
\textbf{Claim 1.} Let be a \reftext{def:standard-normal-distribution-2026a}{standard normal} random variable on a \reftext{def:probability-space-random-variable-2026a}{probability space}. Then , , and are \reftext{def:lebesgue-integral-integrable-2026a}{integrable}, and the \reftext{def:expectation-variance-2026a}{expectation and variance} satisfy
\textbf{Claim 2.} If and are \reftext{def:independence-events-rvs-2026a}{independent} standard normal random variables on a common probability space and are positive real numbers with , then is a standard normal random variable.
\textbf{Claim 3.} If with and are independent standard normal random variables on a common probability space, then is a standard normal random variable, where denotes the positive \reftext{thm:nonnegative-real-has-unique-square-root-2026a}{square root} of .
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