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Limit distributions for the Bernoulli meander

Published online by Cambridge University Press:  14 July 2016

Lajos Takács*
Affiliation:
Case Western Reserve University
*
Postal address: 2410 Newbury Drive, Cleveland Heights, OH 44118, USA.

Abstract

This paper is concerned with the distibutions and the moments of the area and the local time of a random walk, called the Bernoulli meander. The limit behavior of the distributions and the moments is determined in the case where the number of steps in the random walk tends to infinity. The results of this paper yield explicit formulas for the distributions and the moments of the area and the local time for the Brownian meander.

MSC classification

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1995 

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References

[1] Belkin, B. (1970) A limit theorem for conditioned recurrent random walk attracted to a stable law. Ann. Math. Statist. 41, 146163.Google Scholar
[2] Belkin, B. (1972) An invariance principle for conditioned recurrent random walk attracted to a stable law. Z. Wahrscheinlichkeitsth. 21, 4564.CrossRefGoogle Scholar
[3] Bolthausen, E. (1976) On a functional central limit theorem for random walks conditioned to stay positive. Ann. Prob. 4, 480485.Google Scholar
[4] Carleman, T. (1926) Les Fonctions Quasi-Analytiques. Gauthier-Villars, Paris.Google Scholar
[5] Chung, K. L. (1976) Excursions in Brownian motion. Ark. Mat. 14, 157179.Google Scholar
[6] Csáki, E. and Mohanty, S. G. (1981) Excursion and meander in random walk. Canad. J. Statist. 9, 5770.CrossRefGoogle Scholar
[7] Csáki, E. and Mohanty, S. G. (1986) Some joint distributions for conditional random walks. Canad. J. Statist. 14, 1928.Google Scholar
[8] Durrett, R. T. and Iglehart, D. L. (1977) Functionals of Brownian meander and Brownian excursion. Ann. Prob. 5, 130135.Google Scholar
[9] Durrett, R. T., Iglehart, D. L. and Miller, D. R. (1977) Weak convergence to Brownian meander and Brownian excursion. Ann. Prob. 5, 117129.Google Scholar
[10] Frechet, M. and Shohat, J. (1931) A proof of the generalized second-limit theorem in the theory of probability. Trans. Amer. Math. Soc. 33, 533543.Google Scholar
[11] Gikhman, I. I. and Skorokhod, A. V. (1969) Introduction to the Theory of Random Processes. W. B. Saunders, Philadelphia.Google Scholar
[12] Iglehart, D. L. (1974) Functional central limit theorems for random walks conditioned to stay positive. Ann. Prob. 2, 608619.Google Scholar
[13] Kaigh, W. D. (1974) A conditional local limit theorem and its application to random walk. Bull. Amer. Math. Soc. 80, 769770.Google Scholar
[14] Kaigh, W. D. (1975) A conditional local limit theorem for recurrent random walk. Ann. Prob. 3, 883888.Google Scholar
[15] Kaigh, W. D. (1976) An invariance principle for random walk conditioned by a late return to zero. Ann. Prob. 4, 115121.Google Scholar
[16] Kaigh, W. D. (1978) An elementary derivation of the distribution of the maxima of Brownian meander and Brownian excursion. Rocky Mountain J. Math. 8, 641645.Google Scholar
[17] Knight, F. B. (1985) Random walk and a sojourn density process of Brownian motion. Trans. Amer. Math. Soc. 109, 5586.Google Scholar
[18] Kolmogorov, A. N. (1933) Sulla determinazione empirica di una legge di distribuzione. Giorn. Ist. Ital. Attuari 4, 8391.Google Scholar
[19] Takács, L. (1979) Fluctuation problems for Bernoulli trials. SIAM Rev. 21, 222228.Google Scholar
[20] Takács, L. (1991) A Bernoulli excursion and its various applications. Adv. Appl. Prob. 23, 557585.CrossRefGoogle Scholar
[21] Takács, L. (1992) Random walk processes and their various applications. In Probability Theory and Applications. Essays to the Memory of József Mogyoródi, ed. Galambos, J. and Kátai, I., pp. 132. Kluwer Academic Publishers, Dordrecht.Google Scholar
[22] Takács, L. (1993) On the distribution of the integral of the absolute value of the Brownian motion. Ann. Appl. Prob. 3, 186197.Google Scholar