How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Fourth-moment bound for a centered quadratic form of an independent vector
Statement
Let have independent identically distributed real coordinates with , , and . Let be an independent random complex symmetric matrix with , where . Then
Statement references
Bai and Silverstein, Chapter 3, §3.3, printed pp. 57–58 (complete book PDF).
Junyi Liao, Chapter 2, §2.1.3, printed pp. 35–37 (complete lecture notes).
Facts & Assumptions
Given: The independent coordinates and independent random symmetric matrix in the Statement.
The coordinates of an IID family are mutually independent and have one common distribution (Identical distribution and IID families).
Independent random elements have the product joint law (Independent random elements have product joint law).
Fubini's theorem permits integration in either order for an integrable function on a sigma-finite product measure (Fubini's theorem for L^1 functions on a sigma-finite product).
Proof
Given: The moment hypotheses, independence, and the finite Frobenius-norm second moment in the Statement.
First fix a deterministic complex symmetric matrix . Since , The diagonal summands have mean zero. Distinct diagonal summands are uncorrelated; a diagonal summand and an off-diagonal summand are uncorrelated because at least one independent centered coordinate occurs to the first power; and two off-diagonal summands are uncorrelated unless their unordered index pairs coincide. Therefore Here follows from and Cauchy–Schwarz.
By [F2], the joint law of is the product of its marginal laws. The integrand is integrable: , and because is finite and . Thus [F3] permits integration of the deterministic inequality in step 1.1 against the law of , giving the asserted bound.
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Used by
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Sources
- Bai and Silverstein, Spectral Analysis of Large Dimensional Random Matrices, 2nd ed., Chapter 3, §3.3 (standard reference, not scraped)
- Junyi Liao, Random Matrix Theory, Chapter 2, §2.1 (standard reference, not scraped)