Geodesic
Statistical cluster points of sequences in finite dimensional spaces
Czechoslovak Mathematical Journal, Tome 54 (2004) no. 1, pp. 95-102
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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 $\Gamma $-statistical convergence. A sequence $x$ is $\Gamma $-statistically convergent to a set $C$ if $C$ is a minimal closed set such that for every $\epsilon > 0 $ the set $ \lbrace k\:\rho (C, x_k ) \ge \epsilon \rbrace $ has density zero. It is shown that every statistically bounded sequence is $\Gamma $-statistically convergent. Moreover if a sequence is $\Gamma $-statistically convergent then the limit set is a set of statistical cluster points.
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 $\Gamma $-statistical convergence. A sequence $x$ is $\Gamma $-statistically convergent to a set $C$ if $C$ is a minimal closed set such that for every $\epsilon > 0 $ the set $ \lbrace k\:\rho (C, x_k ) \ge \epsilon \rbrace $ has density zero. It is shown that every statistically bounded sequence is $\Gamma $-statistically convergent. Moreover if a sequence is $\Gamma $-statistically convergent then the limit set is a set of statistical cluster points.
Classification : 11B05, 40A05
Keywords: compact sets; natural density; statistically bounded sequence; statistical cluster point 
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Pehlivan, S.; Güncan, A.; Mamedov, M. A. Statistical cluster points of sequences in finite dimensional spaces. Czechoslovak Mathematical Journal, Tome 54 (2004) no. 1, pp. 95-102. http://geodesic.mathdoc.fr/item/CMJ_2004_54_1_a7/

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