2007
DOI: 10.1109/tit.2007.903114
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Application of Tauberian Theorem to the Exponential Decay of the Tail Probability of a Random Variable

Abstract: We give a sufficient condition for the exponential decay of the tail probability of a nonnegative random variable. We consider the Laplace-Stieltjes transform of the probability distribution function of the random variable. We present a theorem, according to which if the abscissa of convergence of the LS transform is negative finite and the real point on the axis of convergence is a pole of the LS transform, then the tail probability decays exponentially. For the proof of the theorem, we extend and apply so-ca… Show more

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Cited by 24 publications
(30 citation statements)
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“…Similarly to the proofs of various complex Tauberian theorems [5], [6], [7], [10], [11], the main idea for the proof of our Theorem 3.1 is to subtract the singular part from the LS transform ϕ(s). If the singularity is a pole, then the singular part, i.e., the principal part of the pole is a finite sum of rational functions.…”
Section: Upper Bound For P (X > X)mentioning
confidence: 99%
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“…Similarly to the proofs of various complex Tauberian theorems [5], [6], [7], [10], [11], the main idea for the proof of our Theorem 3.1 is to subtract the singular part from the LS transform ϕ(s). If the singularity is a pole, then the singular part, i.e., the principal part of the pole is a finite sum of rational functions.…”
Section: Upper Bound For P (X > X)mentioning
confidence: 99%
“…In [9], [10], [11] we studied the asymptotic decay of a light tailed random variable. A random variable X is said to be light tailed if the tail probability P (X > x) decays exponentially, i.e., (1.5) lim x→∞ 1 x log P (X > x) < 0.…”
Section: Introductionmentioning
confidence: 99%
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