Geodesic
Asymptotic results for weighted means of random variables which converge to a Dickman distribution, and some number theoretical applications
Giuliano, Rita1 ; Macci, Claudio2
1 Dipartimento di Matematica, Università di Pisa, Largo Bruno Pontecorvo 5, 56127 Pisa, Italy
2 Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
ESAIM: Probability and Statistics, Tome 19 (2015), pp. 395-413

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This paper studies some examples of weighted means of random variables. These weighted means generalize the logarithmic means. We consider different kinds of random variables and we prove that they converge weakly to a Dickman distribution; this extends some known results in the literature. In some cases we have interesting connections with number theory. Moreover we prove large deviation principles and, arguing as in [R. Giuliano and C. Macci, J. Math. Anal. Appl. 378 (2011) 555–570], we illustrate how the rate function can be expressed in terms of the Hellinger distance with respect to the (weak) limit, i.e. the Dickman distribution.

Reçu le :
DOI : 10.1051/ps/2014030
Classification : 60F10, 60F05, 11K99
Keywords: Almost sure central limit theorem, Dickman function, Hellinger distance, large deviations, prime numbers, square-free numbers

Giuliano, Rita 1 ; Macci, Claudio 2

1 Dipartimento di Matematica, Università di Pisa, Largo Bruno Pontecorvo 5, 56127 Pisa, Italy
2 Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy 
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     title = {Asymptotic results for weighted means of random variables which converge to a {Dickman} distribution, and some number theoretical applications},
     journal = {ESAIM: Probability and Statistics},
     pages = {395--413},
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Giuliano, Rita; Macci, Claudio. Asymptotic results for weighted means of random variables which converge to a Dickman distribution, and some number theoretical applications. ESAIM: Probability and Statistics, Tome 19 (2015), pp. 395-413. doi: 10.1051/ps/2014030

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