A characterization of self-decomposable probabilities on the half-line

  • Gunnar Forst
Article

Summary

It is shown that a probability measure μ on ℝ+ is self-decomposable if and only if for s>0 the sequence
$$\left( {\frac{1}{{n!}}\mathop \smallint \limits_0^\infty e^{ - ts} (ts)^n d\mu (t)} \right)_{n \geqq 0} ,$$
determines a probability on ℕ0, that is self-decomposable in the sense of Steutel and van Harn.

Keywords

Stochastic Process Probability Measure Probability Theory Mathematical Biology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Forst, G.: A Characterization of Potential Kernels on the Positive Half-Line. Z. Wahrscheinlichkeitstheorie und verw. Gebiete 41, 335–340 (1978)Google Scholar
  2. 2.
    Loève, M.: Probability Theory I, 4th Edition. Berlin-Heidelberg-New York: Springer 1977Google Scholar
  3. 3.
    Steutel, F.W.: Preservation of infinite divisibility under mixing and related topics. Math. Centre Tracts 33. Amsterdam: Math. Cent. 1970Google Scholar
  4. 4.
    Steutel, F.W., van Harn, K.: Discrete analogues of self-decomposability and stability. Preprint. Technological University, Eindhoven. The Netherlands, 1978. [To appear in Ann. Probability]Google Scholar

Copyright information

© Springer-Verlag 1979

Authors and Affiliations

  • Gunnar Forst
    • 1
  1. 1.Matematisk InstitutKøbenhavn ØDenmark

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