Czechoslovak Mathematical Journal, vol.54, no.1, pp.95-102, 2004 (SCI-Expanded, Scopus)
In this paper we study the set of statistical cluster points of sequences in m-dimensional spaces. We show that some properties of the set of statistical cluster points of the real number sequences remain in force for the sequences in m-dimensional spaces too. We also define a notion of T-statistical convergence. A sequence x is Γ-statistically convergent to a set C if C is a minimal closed set such that for every ε 0 the set {k: ρ(C,xk) ≥ ε} has density zero. It is shown that every statistically bounded sequence is Γ-statistically convergent. Moreover if a sequence is Γ-statistically convergent then the limit set is a set of statistical cluster points.