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An isotropic finite-fourth-moment design

Example

Assume the Axiom of Choice. Let (ξij)i,j≥1 be one infinite iid complex array with mean zero, unit second absolute moment and finite fourth moment. Let Nn be a positive integer with n/Nn→c∈(0,∞), let Xn=(ξij)1≤i≤n, 1≤j≤Nn be the upper-left block, set Tn=In, and choose any deterministic unit vectors xn∈Cn. For An=Nn−1XnXn∗ and μnxn(B)=xn∗1B(An)xn, the directional measures converge almost surely to the Marchenko–Pastur probability law with aspect ratio c.

Facts & Assumptions

Given: AC, the nested complex iid entry law, Tn=In, and deterministic unit directions.

[A1]

The Axiom of Choice (The Axiom of Choice).

[F1]

The finite-fourth-moment directional resolvent limit theorem (Sample-covariance resolvent deterministic equivalents).

[F2]

At Tn=In, the population law is δ1 and every unit direction satisfies the population-resolvent condition exactly, with transform (1−w)−1 (The Dirac set function at a point).

[F3]

The Marchenko–Pastur law has a probability-density formula whose transform satisfies its fixed-point equation (Marchenko–Pastur measure with aspect ratio gamma, The Marchenko–Pastur formula defines a probability law with the fixed-point transform).

[F4]

The deformed fixed-point equation has at most one solution under its stated upper-half-plane conditions (Uniqueness of the deformed Marchenko–Pastur fixed point).

[F5]

Equal Stieltjes transforms determine a probability measure on the real line (Stieltjes inversion and uniqueness for probability measures on the real line).

Verification

Given: The hypotheses in the Example.

1.1givenA1F1F2algebra

The empirical eigenvalue law of Tn=In is Hn=δ1, and for every w∉[0,∞), xn∗(Tn−wI)−1xn=(1−w)−1=∫(t−w)−1dδ1(t). Thus [F1] applies and gives almost-sure convergence to Fc,δ1.

2.1F1F3F4F5step 1.1algebra∎

Write μc for the Marchenko–Pastur probability law in [F3] and mc(z)=∫(t−z)−1dμc(t). Its scalar equation 1+zmc=mc/(1+cmc) rearranges to mc=(1−c−z−czmc)−1, the fixed-point equation for Fc,δ1. Moreover Im⁡mc(z)=∫Im⁡z/∣t−z∣2dμc(t)>0. The signed expression νc=(1−c)δ0+cμc is in fact a probability measure: for c≤1 both coefficients are nonnegative; for c>1 the atom c(1−1/c) in cμc exactly cancels (1−c)δ0, leaving a nonnegative measure of total mass one. Consequently u=−(1−c)/z+cmc(z)=∫(t−z)−1dνc(t) has strictly positive imaginary part. Both admissibility conditions of [F4] hold, so [F4] gives equality of the transforms and [F5] identifies the two probability laws. Hence the limit is the stated Marchenko–Pastur law.

Source notes

Theorem 1 of Bai, Miao, and Pan (full paper PDF).

Chapter 3 of Bai and Silverstein (full book PDF).

Depends on

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