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Bounded stationary CLT under summable strong mixing

Statement

Assume AC. Let (Zk)k≥0 be a centered strictly stationary real sequence, with ∣Z0∣≤B almost surely for a finite B, and suppose ∑r=1∞αZ(r)<∞. Put Tn=∑k=1nZk. Then its covariance series converges absolutely and σZ2=EZ02+2∑r=1∞Cov⁡(Z0,Zr)=lim⁡n→∞Var⁡(Tn)n≥0. Moreover Tn/n⇒N(0,σZ2), including σZ2=0. Writing DZ=EZ02+2∑r≥1∣Cov⁡(Z0,Zr)∣, every finite subset I⊆N0 satisfies E(∑i∈IZi)2≤DZ∣I∣. The strong-mixing coefficient is that of Strong, uniform, and maximal-correlation mixing coefficients.

Facts & Assumptions

Given: AC, the centered strictly stationary bounded sequence, and summability of its strong-mixing coefficients.

[A1]

AC is assumed for the characteristic-function convergence criterion and the normal-law supplier. (The Axiom of Choice)

[F1]

Strict stationarity preserves finite-dimensional laws under nonnegative shifts, and the mixing coefficient is the supremum over separated past and future events. (Strong, uniform, and maximal-correlation mixing coefficients)

[F2]

Bounded real variables from fields with event coefficient a have covariance at most 4ABa in absolute value; complex variables obey the analogous bound 16ABa. (Strong-mixing covariance bound in terms of tail quantiles)

[F3]

Variance and covariance are centered product expectations. (Moments, variance, and covariance on a probability space)

[F4]

Dominated convergence applies on an arbitrary measure space, including counting measure with a summable majorant. (Dominated convergence)

[F5]

Cauchy–Schwarz bounds absolute product expectations of square-integrable real variables. (Cauchy-Schwarz for random variables)

[F6]

For r(u)=eiu−1−iu+u2/2, one has ∣r(u)∣≤∣u∣3/3 for all real u. (Second-order characteristic-function expansion)

[F7]

Under AC the characteristic function of N(0,s2) is e−s2t2/2, including s=0. (Characteristic function of a normal law)

[F8]

Under AC, convergence of characteristic functions to that of a specified probability law is equivalent to weak convergence to that law. (Characteristic function criterion for weak convergence)

Proof

1.1F1F2F3F4given

Put γr=Cov⁡(Z0,Zr). By [F1]–[F2], ∣γr∣≤4B2αZ(r) for r≥1, so DZ<∞. Expanding the square of a sum indexed by a finite subset I gives its diagonal terms ∣I∣γ0 and off-diagonal terms 2γj−i for pairs i<j in I. For each fixed positive lag there are at most ∣I∣ such pairs. Thus the asserted bound E(∑i∈IZi)2≤DZ∣I∣ holds, also for I=∅. For a consecutive block, the same expansion gives Var⁡(Tn)/n=γ0+2∑r=1n−1(1−r/n)γr. The summable majorant 2∣γr∣ and [F4] imply convergence to the stated σZ2, which is nonnegative as a limit of variances.

1.2F1F2givenalgebra

Extend the coefficient convention by αZ(0)=1. It is nonincreasing: increasing the separation restricts the future sigma-algebra in [F1]. For ordered indices i≤j≤k≤l, write a=j−i and c=l−k. If a>0, centering of Zi and [F2] applied to Zi and ZjZkZl give ∣EZiZjZkZl∣≤4B4αZ(a); if a=0, the trivial bound B4 suffices. Splitting off the centered last factor gives the same bound with c. Therefore ∣EZiZjZkZl∣≤4B4αZ(max⁡(a,c)). There are at most 24 orderings, at most p choices each for the first index and the middle gap, and 2r+1 pairs (a,c) with maximum r. Hence ETp4≤96B4p2∑r=0p(2r+1)αZ(r)=o(p3). To justify the last limit, for each fixed R, p−1∑r≤RrαZ(r)→0, whereas p−1∑R<r≤prαZ(r)≤∑r>RαZ(r)→0 as R→∞; the unweighted part divided by p also tends to zero. Repeated indices are included by the convention at zero.

2.1step 1.1step 1.2algebra

Set εp=ETp4/p3 and ηn=sup⁡p≥⌊n⌋εp. By step 1.2, ηn→0. For sufficiently large n, define hn=min⁡(n1/8,ηn−1/4), interpreting the second entry as +∞ if ηn=0, and ignore the finitely many earlier n. Then hn→∞, hn=o(n1/4), and hn2ηn→0. Put pn=⌈nhn⌉, qn=⌊n/hn⌋, and kn=⌊n/(pn+qn)⌋. Thus pn,qn→∞, pn/n→0, qn/pn→0, and knpn/n→1. Retain kn consecutive blocks of length pn, separated by discarded blocks of length qn, and discard the final remainder. Their discarded index set In has cardinality at most knqn+pn+qn=o(n). Step 1.1 gives ∥n−1/2∑i∈InZi∥22≤DZ∣In∣/n→0, controlling all gaps together without asserting their independence.

3.1F1F2step 2.1algebra

Summability and monotonicity imply rαZ(r)→0, since ⌊r/2⌋αZ(r)≤∑s=⌊r/2⌋rαZ(s). For large n, n/pn≤n/hn≤2qn, so knαZ(qn)≤2qnαZ(qn)→0. Let Bn,j denote the sum in retained block j. At a fixed real frequency t, put Uj=eitBn,j/n. Both each factor and every partial product have modulus at most one. The partial product through block j is measurable before the gap preceding block j+1, so [F2] bounds the discrepancy in factoring its expectation from Uj+1 by 16αZ(qn). Telescoping these factorizations gives ∣Eeit∑j=1knBn,j/n−∏j=1knEeitBn,j/n∣≤16(kn−1)αZ(qn)⟶0. This compares characteristic functions only and requires no independent copies or coupling construction.

3.2F1F5step 1.1step 2.1algebra

Write Wn,j=Bn,j/n. These variables are centered and each has the law of Tpn/n by stationarity. Steps 1.1 and 2.1 imply ∑j=1knEWn,j2=(knpn/n)Var⁡(Tpn)/pn→σZ2. Also ∑j=1knEWn,j4=knETpn4n2≤pn2nεpn⟶0, because pn2/n=O(hn2) and εpn≤ηn. For every δ>0, the Lindeberg sum of these block marginals is at most δ−2∑jEWn,j4→0. Applying [F5] first to ∣W∣,W2 and then the finite-sum Cauchy–Schwarz inequality yields ∑jE∣Wn,j∣3≤(∑jEWn,j2)1/2(∑jEWn,j4)1/2→0. Finally max⁡j(EWn,j2)2≤∑jEWn,j4→0. No uniform-integrability hypothesis or deterministic block bound tending to zero has been assumed.

4.1F6step 3.2algebra

For fixed t, [F6] gives EeitWn,j=1−an,j+rn,j, where an,j=t2EWn,j2/2≥0 and ∑j∣rn,j∣≤∣t∣3∑jE∣Wn,j∣3/3→0. Step 3.2 gives ∑jan,j→t2σZ2/2 and ∑jan,j2≤(max⁡jan,j)∑jan,j→0. The elementary real Taylor bound ∣1−a−e−a∣≤a2/2 for a≥0 follows by integrating the second derivative e−a≤1 twice. Since both ∣EeitWn,j∣ and e−an,j are at most one, the product telescoping inequality now gives ∣∏jEeitWn,j−e−∑jan,j∣≤∑j∣rn,j∣+12∑jan,j2⟶0. Thus the product characteristic function tends to e−t2σZ2/2.

5.1A1F5F7F8step 1.1step 2.1step 3.1step 4.1∎

The discarded normalized sum in step 2.1 tends to zero in L2 and hence in L1 by [F5]. The elementary bound ∣eix−eiy∣≤∣x−y∣, obtained by integrating the derivative of eiu along the real interval, makes its effect on each characteristic function tend to zero. Combine steps 3.1 and 4.1: EeitTn/n→e−t2σZ2/2 for every real t. Under [A1], [F7] identifies this with the characteristic function of N(0,σZ2), and [F8] gives the asserted weak convergence. This remains valid for σZ2=0; all finite-moment and discarded-set assertions were already proved in step 1.1.

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