REGULAR VARIATION FOR MEASURES ON METRIC SPACES

被引:95
作者
Hult, Henrik [1 ]
Lindskog, Filip [2 ]
机构
[1] Brown Univ, Div Appl Math, Providence, RI 02912 USA
[2] KTH, Dept Math, Stockholm, Sweden
来源
PUBLICATIONS DE L INSTITUT MATHEMATIQUE-BEOGRAD | 2006年 / 80卷 / 94期
关键词
D O I
10.2298/PIM0694121H
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The foundations of regular variation for Borel measures on a complete separable space S, that is closed under multiplication by nonnegative real numbers, is reviewed. For such measures an appropriate notion of convergence is presented and the basic results such as a Portmanteau theorem, a mapping theorem and a characterization of relative compactness are derived. Regular variation is defined in this general setting and several statements that are equivalent to this definition are presented. This extends the notion of regular variation for Borel measures on the Euclidean space R-d to more general metric spaces. Some examples, including regular variation for Borel measures on Rd, the space of continuous functions C and the Skorohod space D, are provided.
引用
收藏
页码:121 / 140
页数:20
相关论文
共 23 条
  • [1] Araujo A., 1980, CENTRAL LIMIT THEORE
  • [2] Portmanteau theorem for unbounded measures
    Barczy, Matyas
    Pap, Gyula
    [J]. STATISTICS & PROBABILITY LETTERS, 2006, 76 (17) : 1831 - 1835
  • [3] BASRAK B, 2000, THESIS
  • [4] Billingsley P., 1995, PROBABILITY MEASURES
  • [5] Billingsley P., 1999, CONVERGE PROBAB MEAS, DOI DOI 10.1002/9780470316962
  • [6] Bingham N. H., 1987, REGULAR VARIATION
  • [7] Daley D. J., 2008, INTRO THEORY POINT P, VII
  • [8] On convergence toward an extreme value distribution in C[0,1]
    de Haan, L
    Lin, T
    [J]. ANNALS OF PROBABILITY, 2001, 29 (01) : 467 - 483
  • [9] Feller W., 1971, INTRO PROBABILITY TH, V2
  • [10] Friedman A., 1982, FDN MODERN ANAL