The limit law of certain discrete multivariate distributions

Abstract

Let $X_1,\,X_2,\,\ldots,\,X_N$, $N\in\mathbb{N}$ be independent but not necessarily identically distributed discrete and integer-valued random variables. Assume that $X_1\geqslant m_1$, $X_2\geqslant m_2$, $\ldots$, $X_N\geqslant m_N$ almost surely, where $m_1,\,m_2,\ldots,\,m_N$ are some integer numbers such that $m_1+m_2+\ldots+m_N<0$, and $X_k$ is identically distributed as $X_{k+N}$, for all $k\in\mathbb{N}$ in the sequence $X_1,\,X_2,\,\ldots$ In this communication, we make use of some of the known results to provide the closed-form expression of the limit multivariate distribution function $\mathbb{P}(X_1\leqslant x,\,X_1+X_2\leqslant x,\,\ldots)$, $x\in\mathbb{Z}$ via: (1) inclusion-exclusion principle based product of the roots of $G_{N}(s)=1$, where $G_{N}(s)$ is the probability generating function of $S_N=X_1+X_2+\ldots+X_N$, (2) the probability mass function of $S_N$, and (3) the expectation $\mathbb{E}S_N$.