EN
Let $(X_i, i=1,2,...)$ be the normalized gaussian system such that $X_i ∈ N(0,1)$, i = 1,2,... and let the correlation matrix $ρ_{ij} = E(X_iX_j)$ satisfy the following hypothesis:
$C = sup_{i≥1} ∑_{j=1}^{∞} |ρ_{i,j}| < ∞$.
We present Gebelein's inequality and some of its consequences: Borel-Cantelli type lemma, iterated log law, Levy's norm for the gaussian sequence etc. The main result is that
(f(X₁) + ⋯ + f(Xₙ))/n → 0 a.s.
for f ∈ L¹(ν) with (f,1)_ν = 0.