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Statistics & Probability Letters 78 (2008) 390–395

The Borel–Cantelli lemma under dependence conditions

Tapas Kumar Chandra

BIRU, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India Received 9 October 2006; received in revised form 3 April 2007; accepted 25 July 2007

Available online 25 August 2007

Abstract

Generalizations of the second Borel–Cantelli lemma are obtained under very weak dependence conditions, subsuming several earlier results as special cases.

r2007 Elsevier B.V. All rights reserved.

Keywords:Borel–Cantelli lemma; Generalizations of the Borel–Cantelli lemma; Pairwise independence; Pairwisem-dependence; Pairwise negative quadrant dependence

1. Introduction

In a recent note, Petrov (2004) proved using clever arguments an interesting extension of the (second) Borel–Cantelli lemma; the theorem in Section 2 of Petrov (2004) contains several earlier extensions of the Borel–Cantelli lemma as special cases. This note extends Petrov’s result further (see Theorems 1 and 10); it is expected that the present version will be more widely applicable. A related result is also included in the final section.

To motivate the extension, we state the following results. If there are non-negative realsc1, c2,c3 and an integerNX1 such that

PðAi\AjÞpðc1PðAiÞ þc2PðAjÞÞPðAjiÞ þc3PðAiÞPðAjÞ (1) wheneverNpioj, and

X1

n¼1

PðAnÞ ¼ 1, (2)

thencX1 and

Pðlim supAnÞX1

c, (3)

where

c:¼c3þ2ðc1þc2Þ. (4)

www.elsevier.com/locate/stapro

0167-7152/$ - see front matterr2007 Elsevier B.V. All rights reserved.

doi:10.1016/j.spl.2007.07.023

E-mail address:tkchandra@gmail.com

(2)

The result of Petrov (2002) is a special case where c1¼c2¼0. For a simple proof, see Chandra (1999).

Regarding condition (1), see Kochen and Stone (1964, Example 2) andLamperti (1963, p. 62). On the other hand, the extended Re´nyi–Lamperti lemma states that if

lim inf

n!1

P1pj;kpnPðAj\AkÞ ðP

1pjpnPðAjÞÞ2 ¼c (5)

and (2) holds, thencX1 and (3) holds. (The Re´nyi–Lamperti lemma states that Pðlim supAnÞX2c;

seeBillingsley, 1979, p. 76.) For a simple proof, seeSpitzer (1964, p. 319).Erdo¨s and Re´nyi (1959)considers the special case where (5) holds withc¼1, and contains the case where (1) holds withc1¼c2¼0 andc3¼1 and (2) obtains; in particular, the second Borel–Cantelli lemma holds if the independence offAngis replaced by pairwise independence or pairwise negative quadrant dependence of fAng(this fact can also be obtained from the result that (1) and (2) together imply (3)). In his paper,Petrov (2004)combined conditions (1), with c1¼c2 ¼0; and (5) in a clever manner and obtained a common generalization of Petrov (2002) and the extended Re´nyi–Lamperti lemma; see, also,Ortega and Wschebor (1983). He used the following inequality of Chung and Erdo¨s (1952):

P [n

k¼1

Ak

!

X ðPn

k¼1PðAkÞÞ2 Pn

j;k¼1PðAj\AkÞ, (6)

which is, in turn, a special case of Spitzer’s inequality (seeSpitzer, 1964, p 319): IfEðXÞ40 and 0po1, then PðX4EðXÞÞXð1Þ2ðEðXÞÞ2

EðX2Þ . (7)

(Take ¼0 and X¼Pn

k¼1IAk.) We shall prove the following extension of Petrov (2004) using suitable modifications of his arguments.

Theorem 1. LetfAngnX1 satisfy(2) and assume that lim inf

n!1

P1pjokpnðPðAj\AkÞ ajkÞ ðP

1pkpnPðAkÞÞ2 ¼L,

where aij¼ ðc1PðAiÞ þc2PðAjÞÞPðAjiÞ þc3PðAiÞPðAjÞ for 1pioj, c1X0, c2X0, c3 being constants (L may depend on c1,c2 and c3).Assume that L is finite. Then cþ2LX1and

Pðlim supAnÞX 1 ðcþ2LÞ, where c is given by(4).

Petrov’s result follows whenc1 ¼c2¼0. Furthermore, it follows that (1) and (2) imply (3), since thenLp0 and soðcþ2LÞ1Xc1:

The proof of Theorem 1 shows that the following more general result is also true; the details are omitted.

Theorem 10. Let fAngnX1 satisfy (2)and lim inf

n!1

P

1pjokpnðPðAj\AkÞ ajkÞ ðP

1pkpnPðAkÞÞ2 ¼L, where the ajk satisfy

X

1pjompkpn

jajkj ¼o X

mpkpn

PðAkÞ

!2

0

@

1

A 8mX1

(3)

and

lim inf

m!1 lim sup

n!1

Pmpjokpnajk

ðP

mpkpnPðAkÞÞ2pd.

Assume that L and d are finite. Then dþLX1

2and Pðlim supAnÞXð2dþ2LÞ1: 2. Proof of Theorem 1

We need the following lemma.

Lemma 1. Let(2) hold and aij be as in Theorem1.Put bm¼lim inf

n!1

PmpjokpnðPðAj\AkÞ ajkÞ ðPn

k¼mPðAkÞÞ2 ; mX1.

Thenb1 ¼bm,8mX1.

Proof. Fix an integerm41. As (2) holds, we have b1¼ lim inf

n!1

P

1pjokpnðPðAj\AkÞ ajkÞ ðPn

k¼mPðAkÞÞ2

¼ lim inf

n!1 ðI1;nþI2;nþI3;nÞ, where, fornXm,

sm;n¼Xn

k¼m

PðAkÞ; bj;k¼PðAj\AkÞ ajk,

I1;n¼

P1pjokpmbj;k

s2m;n ; I2;n¼

Pmpjokpnbj;k s2m;n , I3;n¼

P1pjompkpnbj;k

s2m;n .

Condition (2) implies thatI1;n!0 asn! 1. Also jI3;njp

P

1pjompkpnðPðAj\AkÞ þ jajkjÞ s2m;n

pmð1þ jc1j þ jc2j þ jc3jÞ sm;n

þms1;mjc1j s2m;n so thatI3;n !0 asn! 1. Therefore,

b1¼bmþlimI1;nþlimI3;n ¼bm: &

We next prove Theorem 1. LetmX1 be an integer; letNXmbe such thatPN

k¼mPðAkÞ40. Then, by (6), P [1

k¼m

Ak

!

X ðPn

k¼mPðAkÞÞ2 Pn

j;k¼mPðAj\AkÞ 8nXN.

Now, Xn

j;k¼m

PðAj\AkÞ ¼sm;nþT1þT2,

(4)

where thesm;n are as in the proof of Lemma 1 and T1 ¼2 X

mpjokpn

ðPðAj\AkÞ ajkÞ,

T2 ¼2 X

mpjokpn

ajk,

where theajk are as in the statement of Theorem 1. As T2p2 c3

2 þc1þc2

s2m;nþ ðc1þc2Þs1;msm;nc3

Xn

j¼m

ðPðAjÞÞ2, one has

lim sup

n!1

T2 s2m;npc,

wherecis given by (4). Therefore, condition (2) implies that P [1

k¼m

Ak

!

X lim inf

n!1

T1

s2m;nþlim sup

n!1

T2 s2m;n

( )1

Xf2Lþcg1 by Lemma 1.

3. An alternative approach

In this section we derive another version of the second Borel–Cantelli lemma under a suitable dependence condition using the Chebyshev Inequality.

Lemma 2. Let fXngbe a sequence of non-negative random variables with finite EðX2nÞand put Sn ¼Pn i¼1Xi, nX1.Assume that EðSnÞ ! 1as n! 1,and

VarðSnÞpcnEðSnÞ 8nX1; lim inf

n!1

cn

EðSnÞ

¼0. (8)

Then P X1

n¼1

Xn¼ 1

!

¼1. (9)

Proof. Note that P X1

n¼1

Xno1

!

¼ lim

n!1P X1

n¼1

Xnp1 2EðSnÞ

!

plim inf

n!1 P Snp1 2EðSnÞ

plim inf

n!1

4cn EðSnÞ

¼0: &

Theorem 2. LetfXngbe a sequence of non-negative random variables with finite EðX2nÞand put Sn ¼Pn i¼1Xi, nX1.Assume that EðSnÞ ! 1as n! 1.

(5)

(a)Assume that Xn

i¼1

VarðXiÞpknEðSnÞ 8nX1, (10)

Xn

j¼2

Xj1

i¼1

CovðXi;XjÞpcnEðSnÞ 8nX2 (11)

and

lim inf

n!1 ððknþ2cnÞ=EðSnÞÞ ¼0. (12)

Then(9) holds.If0pXnpkn 8nX1wherefkngis nondecreasing,then (10)holds.

(b) If0pXnpkn 8nX1 wherefkng is nondecreasing, and fqðmÞg, famgand fbmgare non-negative sequences anda,bare non-negative constants such that

CovðXi;XjÞpqðjijjÞðaiþbjÞ 8iaj, (13)

Xn1

i¼1

aipaEðSnÞ; Xn

j¼2

bjpbEðSnÞ 8nX2 (14)

and

lim inf

n!1

Pn1 m¼1qðmÞ EðSnÞ

!

¼0; lim

n!1ðkn=EðSnÞÞ ¼0, (15)

then(9) holds.

Proof. (a) follows from Lemma 2.

(b) follows from Part (a) and the following observation:

Xn

j¼2

Xj1

i¼1

CovðXi;XjÞpXn

j¼2

Xj1

i¼1

qðjiÞðaiþbjÞ

¼ Xn

j¼2

Xj1

m¼1

qðmÞðajmþbjÞ

¼ Xn1

m¼1

qðmÞ Xn

j¼mþ1

ðajmþbjÞ

pðaþbÞ Xn1

m¼1

qðmÞ

!

EðSnÞ: &

We remark that one choice of theam andbm so that (14) holds with appropriatea andbis am¼EðXmÞ þEðXmþ1Þ; bm¼EðXmÞ þEðXm1Þ.

Remark 1. If in the above theorem, we put Xn¼IAn, kn ¼1 8nX1 so that lim supAn¼ ½P1

n¼1Xn¼ 1 wherefAngis a given sequence of events satisfyingP1

n¼1PðAnÞ ¼ 1, we get another set of sufficient conditions forPðlim supAnÞ ¼1. Thus, we have: If (2) holds, and for eachioj,

PðAi\AjÞ PðAiÞPðAjÞpqðjijjÞ½PðAiÞ þPðAiþ1Þ þPðAjÞ þPðAj1Þ,

lim inf

n!1

Pn1 m¼1qðmÞ Pn

m¼1PðAmÞ

!

¼0 a fortioriX1

m¼1

qðmÞo1

! ,

(6)

thenPðlim supAnÞ ¼1:In particular, if there exists an integermX0 such that

PðAi\AjÞpPðAiÞPðAjÞ wheneverjijj4m (16)

and (2) holds, then Pðlim supAnÞ ¼1. The last inequality definitely holds if IAi and IAj are pairwise m-dependent (a fortiori, pairwise independent).

Remark 2. LetfXngbe as in Theorem 2(b). Suppose that the conditions of Theorem 2(b) hold withkn¼1, 8nX1, except that (13) and (15) are strengthened to

CovðXi;XjÞpqðjjijÞEðXjÞ 8ioj, (17)

X1

n¼1

ðqðnÞ=EðSnÞÞo1. (18)

Then (9) can be strengthened to ‘Sn=EðSnÞ !1 a.s.’ which gives an indication of the rate of growth of Sn in (9). For a proof, see Chandra and Ghosal (1998). Note that if (16) holds for some mX0, then (17) and (18) hold with an appropriateq.

It is an interesting problem to derive the best possible result in the setup of either of the two remarks.

References

Billingsley, P., 1979. Probability and Measure. Wiley, New York.

Chandra, T.K., 1999. A First Course in Asymptotic Theory of Statistics. Narosa Publishing House, New Delhi, India.

Chandra, T.K., Ghosal, S., 1998. Some elementary strong laws of large numbers: a review. In: Mukherjee, S.P., Basu, S.K., Sinha, B.K.

(Eds.), Frontiers of Probability and Statistics. Narosa Publishing House, New Delhi, pp. 61–81.

Chung, K.L., Erdo¨s, P., 1952. On the application of the Borel–Cantelli lemma. Trans. Amer. Math. Soc. 72, 179–186.

Erdo¨s, P., Re´nyi, A., 1959. On Cantor’s series with convergentP

1=qn. Ann. Univ. Sci. Budapest. Eotvos Sect. Math. 2, 93–109.

Kochen, S.B., Stone, C.J., 1964. A note on the Borel–Cantelli lemma. Illinois J. Math. 8, 248–251.

Lamperti, J., 1963. Wiener’s test and Markov chains. J. Math. Anal. appl. 6, 58–66.

Ortega, J., Wschebor, M., 1983. On the sequence of partial maxima of some random sequences. Stochastic Process. Appl. 16, 85–98.

Petrov, V.V., 2002. A note on the Borel–Cantelli lemma. Statist. Probab. Lett. 58, 283–286.

Petrov, V.V., 2004. A generalization of the Borel–Cantelli lemma. Statist. Probab. Lett. 67, 233–239.

Spitzer, F., 1964. Principles of Random Walk. Van Nostrand, Princeton, NJ.

References

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