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An isotropic finite-fourth-moment design
Example
Assume the Axiom of Choice. Let be one infinite iid complex array with mean zero, unit second absolute moment and finite fourth moment. Let be a positive integer with , let be the upper-left block, set , and choose any deterministic unit vectors . For and , the directional measures converge almost surely to the Marchenko–Pastur probability law with aspect ratio .
Example references
Facts & Assumptions
Given: AC, the nested complex iid entry law, , and deterministic unit directions.
The Axiom of Choice (The Axiom of Choice).
The finite-fourth-moment directional resolvent limit theorem (Sample-covariance resolvent deterministic equivalents).
At , the population law is and every unit direction satisfies the population-resolvent condition exactly, with transform (The Dirac set function at a point).
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).
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).
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.
The empirical eigenvalue law of is , and for every , Thus [F1] applies and gives almost-sure convergence to .
Write for the Marchenko–Pastur probability law in [F3] and . Its scalar equation rearranges to , the fixed-point equation for . Moreover . The signed expression is in fact a probability measure: for both coefficients are nonnegative; for the atom in exactly cancels , leaving a nonnegative measure of total mass one. Consequently 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
- The Axiom of Choice
- The Dirac set function at a point
- Marchenko–Pastur measure with aspect ratio gamma
- Uniqueness of the deformed Marchenko–Pastur fixed point
- The Marchenko–Pastur formula defines a probability law with the fixed-point transform
- Stieltjes inversion and uniqueness for probability measures on the real line
- Sample-covariance resolvent deterministic equivalents
Used by
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Sources
- Z. D. Bai, B. Q. Miao, and G. M. Pan, On Asymptotics of Eigenvectors of Large Sample Covariance Matrix (standard reference, not scraped)
- Z. D. Bai and J. W. Silverstein, Spectral Analysis of Large Dimensional Random Matrices, 2nd ed. (standard reference, not scraped)