research

Moment conditions in strong laws of large numbers for multiple sums and random measures

Abstract

The validity of the strong law of large numbers for multiple sums SnS_n of independent identically distributed random variables ZkZ_k, knk\leq n, with rr-dimensional indices is equivalent to the integrability of Z(log+Z)r1|Z|(\log^+|Z|)^{r-1}, where ZZ is the typical summand. We consider the strong law of large numbers for more general normalisations, without assuming that the summands ZkZ_k are identically distributed, and prove a multiple sum generalisation of the Brunk--Prohorov strong law of large numbers. In the case of identical finite moments of irder 2q2q with integer q1q\geq1, we show that the strong law of large numbers holds with the normalisation n1nr1/2(logn1lognr)1/(2q)+ε\|n_1\cdots n_r\|^{1/2}(\log n_1\cdots\log n_r)^{1/(2q)+\varepsilon} for any ε>0\varepsilon>0. The obtained results are also formulated in the setting of ergodic theorems for random measures, in particular those generated by marked point processes.Comment: 15 page

    Similar works