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" />