Abstract. In this paper we study the concepts of lacunary statistical limit points and lacunary statistical cluster points as well as the concept of lacunary statistical core for a bounded complex number sequence.
Introduction and NotationsThe idea of statistical convergence was first introduced by Steinhaus [20] in 1949 and studied by Fast and several authors [7], [10], [2].Recall that a number sequence x = (xfc) is said to be statistically convergent to the number L if for every e > 0, lim -|{fc e}| = 0, n n where the vertical bars indicate the number of elements in the enclosed set.If if is a subset of the natural numbers N, K n will denote the set {k < n : k € K}, and \K n \ will denote the cardinality of K n . The natural density of K [19] is given by 6(K) :-lim-|A" n |, if it exsits. The number sequence n n x -(%k) is statistically convergent to L provided that for every c > 0 the set K(e) := {fc € N : |x fc -L\ > e} has natural density zero [7], [10]. Hence x = (xfc) is statistically convergent to L iff {C\XK(t))n -> 0, (as ra -» oo, for every e > 0), where C\ is the Cesaro mean of order one and XK(<.) is the chsiracteristic function of the set K(e).Statistical convergence can be generalized by using a nonnegative regular matrix A in place of C\: we say that a subset K of N has yl-density This research was supported by Kirikkale University, Turkey. 1991 Mathematics Subject Classification: Primary 40A05, Secondary 26A03, 11B05. Key words and phrases-, lacunary statistical limit point, lacunary statistical cluster point, lacunary statistical core of a sequence.