Abstract
We estimate the concentration functions of n-fold convolutions of one-dimensional probability measures. The Kolmogorov–Rogozin inequality implies that for nondegenerate distributions these functions decrease at least as O(n −1/2). On the other hand, Esseen(3) has shown that this rate is o(n −1/2) iff the distribution has an infinite second moment. This statement was sharpened by Morozova.(9) Theorem 1 of this paper provides an improvement of Morozova's result. Moreover, we present more general estimates which imply the rates o(n −1/2).
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REFERENCES
Arak, T. V. (1981). On the convergence rate in Kolmogorov's uniform limit theorem. I. Theor. Prob. Appl. 26, 219–239.
Arak, T. V., and Zaitsev, A. Yu. (1988). Uniform limit theorems for sums of independent random variables. Proc. Steklov Inst. Math. 174, 1–222.
Esseen, C.-G. (1968). On the concentration function of a sum of independent random variables. Z. Wahrsch. verw. Gebiete 9, 290–308.
Feller, W. (1967). On regular variation and local limit theorems. In Proc. of the Fifth Berkeley Symp. on Math. Stat. Prob. Vol. 2, Part 1, University of California Press, Berkeley, pp. 373–388.
Griffin, P. S. (1983). Probability estimates for the small deviations of d-dimensional random walk. Ann. Prob. 11, 939–952.
Griffin, P. S., Jain, N. C., and Pruitt, W. E. (1984). Approximate local limit theorems outside domains of attraction. Ann. Prob. 12, 45–63.
Hall, P. (1983). Order of magnitude of the concentration function. Proc. Amer. Math. Soc. 89, 141–144.
Hengartner, W., and Theodorescu, R. (1973). Concentration Functions, Academic Press, New York.
Morozova, L. N. (1977). Some bounds for the concentration functions of a sum of independent and identically distributed random variables. In Limit Theorems for Random Processes, S. H. Sirazhdinov, ed. Fan, Tashkent, pp. 85–91. (Russian)
Mukhin, A. B. (1972; 1973; 1976). On the concentration of distributions of sums of independent random variables, I; II; III. Izvestiya AN UzSSR, Ser. Fiz.-Matem. Nauk 2, 17–19; 6, 18–23; 1, 15–19. (Russian)
Mukhin, A. B. (1976). An estimate of the rapid decay of concentration functions of sums of independent random variables In Limit Theorems and Mathematical Statistics, S. H. Sirazhdinov, ed. Fan, Tashkent, pp. 117–121, (Russian)
Mukhin, A. B. (1989). Local probabilities for sums of independent random variables. Theor. Prob. Appl. 34, 616–624.
Petrov, V. V. (1976). Sums of Independent Random Variables, Springer, Berlin.
Rogozin, B. A. (1961). An estimate for concentration functions. Theor. Prob. Appl. 6, 94–97.
Studnev, Yu. P. (1965). A remark on the Katz-Petrov theorem. Theor. Prob. Appl. 10, 682–684.
Suchkov, A. P., and Ushakov, N. G. (1989). The rapid decay of concentration functions of sums of independent random variables. Theor. Prob. Appl. 34, 545–548.
Zaitsev, A. Yu. (1987). On the uniform approximation of distributions of sums of independent random variables. Theor. Prob. Appl. 32, 40–47.
Zaitsev, A. Yu. (1992). Approximation of convolutions of probability distributions by infinitely divisible laws under weakened moment restrictions. Zapiski Nauchnykh Seminarov LOMI 194, 79–90 (Russian); English transl. in J. Math. Sci.
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Götze, F., Zaitsev, A.Y. Estimates for the Rapid Decay of Concentration Functions of n-Fold Convolutions. Journal of Theoretical Probability 11, 715–731 (1998). https://doi.org/10.1023/A:1022654631571
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DOI: https://doi.org/10.1023/A:1022654631571