Abstract:
We obtain a formula for the Laplace transform of the restriction of an arbitrary probability distribution on the positive semiaxis in the form of a Cauchy-type integral in infinite limits of the characteristic function of this distribution. Using this result and the estimates of the concentration function of the sum of independent random variables, we derive a representation for the Laplace transform of the restriction of the harmonic measure on the positive semiaxis. In conclusion, we present an estimate of the lower ladder height distribution for the case in which the distribution of the value of the jump in a random walk is normal.
Keywords:
Laplace transform, probability distribution, Cauchy integral, harmonic measure, renewal measure, random walk, Vitali theorem.
Citation:
S. V. Nagaev, “Formula for the Laplace Transform of the Projection of a Distribution on the Positive Semiaxis and Some of Its Applications”, Mat. Zametki, 84:5 (2008), 741–754; Math. Notes, 84:5 (2008), 688–702
\Bibitem{Nag08}
\by S.~V.~Nagaev
\paper Formula for the Laplace Transform of the Projection of a Distribution on the Positive Semiaxis and Some of Its Applications
\jour Mat. Zametki
\yr 2008
\vol 84
\issue 5
\pages 741--754
\mathnet{http://mi.mathnet.ru/mzm6358}
\crossref{https://doi.org/10.4213/mzm6358}
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\transl
\jour Math. Notes
\yr 2008
\vol 84
\issue 5
\pages 688--702
\crossref{https://doi.org/10.1134/S0001434608110102}
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Linking options:
https://www.mathnet.ru/eng/mzm6358
https://doi.org/10.4213/mzm6358
https://www.mathnet.ru/eng/mzm/v84/i5/p741
This publication is cited in the following 3 articles: