| dc.creator |
Guncan, A |
|
| dc.creator |
Mamedov, MA |
|
| dc.creator |
Pehlivan, S |
|
| dc.date |
2004-01-01T01:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:14:47Z |
|
| dc.date.available |
2021-12-03T11:14:47Z |
|
| dc.identifier |
09157a7b-934d-43fd-8a26-79c5e28ebd2c |
|
| dc.identifier |
10.1023/b:cmaj.0000027250.19041.72 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/09157a7b-934d-43fd-8a26-79c5e28ebd2c/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/89819 |
|
| dc.description |
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 {k: rho(C, x(k)) greater than or equal to epsilon} 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. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Statistical cluster points of sequences in finite dimensional spaces |
|
| dc.type |
info:eu-repo/semantics/article |
|