s are i.i.d.\ Gaussian random variables. For $n=2$ there are
numerous other cases of equality apart from i.i.d.\ Gaussians, which we
completely characterize. Going beyond sums, we" />
s are i.i.d.\ Gaussian random variables. For $n=2$ there are
numerous other cases of equality apart from i.i.d.\ Gaussians, which we
completely characterize. Going beyond sums, we" />
s are i.i.d.\ Gaussian random variables. For $n=2$ there are
numerous other cases of equality apart from i.i.d.\ Gaussians, which we
completely characterize. Going beyond sums, we" />