Persistence of iterated partial sums
Annales de l'I.H.P. Probabilités et statistiques, Tome 49 (2013) no. 3, pp. 873-884.

Soit Sn(2) la somme partielle itérée, c’est à dire Sn(2)=S1+S2++Sn, où Si=X1+X2++Xi. Pour des variables aléatoires X1,X2,...,Xn i.i.d. intégrables et de moyenne nulle, nous montrons que les probabilités de persistance satisfont

pn(2):=max1inSi(2)<0c𝔼|Sn+1|(n+1)𝔼|X1|,
avec c630 (et c=2 dès que X1 est symétrique). En outre, l’inégalité inverse est vraie quand (-X1>t)e-αt pour un α>0 ou si (-X1>t)1/t0 quand t. Pour ces variables, on a donc pn(2)n-1/4 si X1 admet un moment d’ordre 2. Par contre nous montrons que pour tout 0<γ<1/4, il existe des variables intégrables de moyenne nulle pour lesquelles pn(2) décroît comme n-γ.

Let Sn(2) denote the iterated partial sums. That is, Sn(2)=S1+S2++Sn, where Si=X1+X2++Xi. Assuming X1,X2,...,Xn are integrable, zero-mean, i.i.d. random variables, we show that the persistence probabilities

pn(2):=max1inSi(2)<0c𝔼|Sn+1|(n+1)𝔼|X1|,
with c630 (and c=2 whenever X1 is symmetric). The converse inequality holds whenever the non-zero min(-X1,0) is bounded or when it has only finite third moment and in addition X1 is squared integrable. Furthermore, pn(2)n-1/4 for any non-degenerate squared integrable, i.i.d., zero-mean Xi. In contrast, we show that for any 0<γ<1/4 there exist integrable, zero-mean random variables for which the rate of decay of pn(2) is n-γ.

DOI : 10.1214/11-AIHP452
Classification : 60G50, 60F10
Mots-clés : first passage time, iterated partial sums, persistence, lower tail probability, one-sided probability, random walk
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Dembo, Amir; Ding, Jian; Gao, Fuchang. Persistence of iterated partial sums. Annales de l'I.H.P. Probabilités et statistiques, Tome 49 (2013) no. 3, pp. 873-884. doi : 10.1214/11-AIHP452. https://www.numdam.org/articles/10.1214/11-AIHP452/

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