Probability Theory and Related Fields

, Volume 132, Issue 4, pp 579–612

Limit theorems for sums of random exponentials

  • Gérard Ben Arous
  • Leonid V. Bogachev
  • Stanislav A. Molchanov

DOI: 10.1007/s00440-004-0406-3

Cite this article as:
Ben Arous, G., Bogachev, L. & Molchanov, S. Probab. Theory Relat. Fields (2005) 132: 579. doi:10.1007/s00440-004-0406-3


We study limiting distributions of exponential sums as t→∞, N→∞, where (Xi) are i.i.d. random variables. Two cases are considered: (A) ess sup Xi = 0 and (B) ess sup Xi = ∞. We assume that the function h(x)= -log P{Xi>x} (case B) or h(x) = -log P {Xi>-1/x} (case A) is regularly varying at ∞ with index 1 < ϱ <∞ (case B) or 0 < ϱ < ∞ (case A). The appropriate growth scale of N relative to t is of the form, where the rate function H0(t) is a certain asymptotic version of the function (case B) or (case A). We have found two critical points, λ12, below which the Law of Large Numbers and the Central Limit Theorem, respectively, break down. For 0 < λ < λ2, under the slightly stronger condition of normalized regular variation of h we prove that the limit laws are stable, with characteristic exponent α = α (ϱ, λ) ∈ (0,2) and skewness parameter β ≡ 1.


Sums of independent random variablesRandom exponentialsRegular variationExponential Tauberian theoremsCentral limit theoremWeak limit theoremsInfinitely divisible distributionsStable laws

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gérard Ben Arous
    • 1
  • Leonid V. Bogachev
    • 2
  • Stanislav A. Molchanov
    • 3
  1. 1.Courant Institute of Mathematical SciencesNew York NYUSA
  2. 2.Department of StatisticsUniversity of LeedsLeedsUK
  3. 3.Department of MathematicsUniversity of North Carolina at CharlotteCharlotteUSA