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On a Theorem of Breiman and a Class of Random Difference Equations

Published online by Cambridge University Press:  14 July 2016

Denis Denisov*
Affiliation:
EURANDOM
Bert Zwart*
Affiliation:
Georgia Institute of Technology
*
Current address: School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK. Email address: [email protected]
∗∗Postal address: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive, Atlanta, GA 30332-0205, USA.
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Abstract

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We consider the tail behavior of the product of two independent nonnegative random variables X and Y. Breiman (1965) has considered this problem, assuming that X is regularly varying with index α and that E{Yα+ε} < ∞ for some ε > 0. We investigate when the condition on Y can be weakened and apply our findings to analyze a class of random difference equations.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2007 

References

[1] Bingham, N. H., Goldie, C. M. and Teugels, J. L. (1987). Regular Variation. Cambridge University Press.CrossRefGoogle Scholar
[2] Breiman, L. (1965). On some limit theorems similar to the arc-sin law. Theory Prob. Appl. 10, 323331.CrossRefGoogle Scholar
[3] Cline, D. B. H. (1986). Convolution tails, product tails and domains of attraction. Prob. Theory Relat. Fields 72, 529557.CrossRefGoogle Scholar
[4] Cline, D. B. H. (1987). Convolutions of distributions with exponential and subexponential tails. J. Austral. Math. Soc. Ser. A 43, 347365.CrossRefGoogle Scholar
[5] Cline, D. B. H. and Samorodnitsky, G. (1994). Subexponentiality of the product of independent random variables. Stoch. Process. Appl. 49, 7598.CrossRefGoogle Scholar
[6] Denisov, D., Foss, S. and Korshunov, D. (2004). Tail asymptotics for the supremum of a random walk when the mean is not finite. Queueing Systems 46, 1533.CrossRefGoogle Scholar
[7] Embrechts, P. and Goldie, C. M. (1980). On closure and factorization properties of subexponential and related distributions. J. Austral. Math. Soc. Ser. A 29, 243256.CrossRefGoogle Scholar
[8] Embrechts, P., Klüppelberg, C. and Mikosch, T. (1997). Modelling Extremal Events. Springer, New York.CrossRefGoogle Scholar
[9] Foss, S. and Korshunov, D. (2007). Lower limits and equivalences for convolution tails. Ann. Prob. 35, 366383.CrossRefGoogle Scholar
[10] Goldie, C. M. (1991). Implicit renewal theory and tails of solutions of random equations. Ann. Appl. Prob. 1, 126166.Google Scholar
[11] Goldie, C. M. and Grübel, R. (1996). Perpetuities with thin tails. Adv. Appl. Prob. 28, 463480.Google Scholar
[12] Gomes, M. I., de Haan, L. and Pestana, D. (2004). Joint exceedances of the ARCH process. J. Appl. Prob. 41, 919926. (Correction: 43 (2006), 1206.)Google Scholar
[13] Grey, D. R. (1994). Regular variation in the tail behaviour of solutions of random difference equations. Ann. Appl. Prob. 4, 169183.CrossRefGoogle Scholar
[14] Kesten, H. (1973). Random difference equations and renewal theory for products of random matrices. Acta Math. 131, 207248.Google Scholar
[15] Klüppelberg, C. (1988). Subexponential distributions and integrated tails. J. Appl. Prob. 25, 132141.CrossRefGoogle Scholar
[16] Klüppelberg, C. (1989). Subexponential distributions and characterizations of related classes. Prob. Theory Relat. Fields 82, 259269.CrossRefGoogle Scholar
[17] Konstantinides, D. G. and Mikosch, T. (2005). Large deviations and ruin probabilities for solutions to stochastic recurrence equations with heavy-tailed innovations. Ann. Prob. 33, 19921992.Google Scholar
[18] Maulik, K. and Resnick, S. (2005). Characterizations and examples of hidden regular variation. Extremes 7, 3167.Google Scholar
[19] Maulik, K. and Zwart, B. (2006). Tail asymptotics of exponential functionals of Lévy processes. Stoch. Process. Appl. 116, 156177.CrossRefGoogle Scholar
[20] Resnick, S. I. and Willekens, E. (1991). Moving averages with random coefficients and random coefficient autoregressive models. Commun. Statist. Stoch. Models 7, 511525.Google Scholar