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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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A Gaussian contrast is independent of its orthogonal residual

Statement

Assume AC. Let Y∼Nn(μ,σ2In) with known σ>0, and fix η≠0. With T=ηTY, Pη=ηηT/∥η∥2, and Z=(In−Pη)Y as in Polyhedral selection event and contrast interval, the scalar T and vector Z are independent, and T∼N(ηTμ,σ2∥η∥2).

Facts & Assumptions

Given: AC, Y∼Nn(μ,σ2In), σ>0, and η≠0.

[A1]

The Axiom of Choice is assumed by the multivariate normal law and the Gaussian orthogonal-projection theorem. The Axiom of Choice

[F1]

A multivariate normal law Nn(μ,Σ) has every linear projection normal with mean uTμ and variance uTΣu, and can be realized as μ+Σ1/2W for independent standard normal coordinates in W. Multivariate normal law, including singular covariance

[F2]

For a standard Gaussian vector W and an orthogonal projection P, the vectors PW and (In−P)W are independent. Orthogonal projections split a standard Gaussian into independent chi-square sums

[F3]

Measurable coordinatewise functions of independent random elements remain independent. Measurable coordinatewise functions preserve independence

[F4]

Pη,T,Z have the definitions and domains stated in the local setup. Polyhedral selection event and contrast interval

Proof

1.1A1F1F2F4algebra

Put P=Pη. Since η≠0, PT=P and P2=P. For every y, Py=η(ηTy)/∥η∥2 belongs to span⁡{η}, and ηT(y−Py)=0, so y−Py∈(span⁡{η})⊥. Thus P is the rank-one orthogonal projection onto span⁡{η} in [F4]. The conclusion concerns only the joint law of T,Z, so by [F1] it suffices to use the realization Y=μ+σW with W∼Nn(0,In). Apply [F2] to P. This use of AC is exactly [A1].

2.1F2F3step 1.1algebra

Because Pη=η, T=ηTμ+σηTPW, while Z=(In−P)μ+σ(In−P)W. Thus T and Z are measurable functions of the independent vectors PW and (In−P)W; [F3] makes them independent.

3.1A1F1algebra∎

By the linear-projection clause of [F1], T=ηTY is normal with mean ηTμ and variance ηT(σ2In)η=σ2∥η∥2. AC is inherited from [A1] through the normal-law supplier [F1].

Depends on

Used by

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Sources