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A unit-diagonal covariance can have conditional covariance below the reciprocal global eigenvalue bound

Statement refuted

For every real symmetric positive-definite covariance matrix Σ with unit diagonal, every coordinate set S for which both S and Sc are nonempty and ΣSS is invertible, and constants Cmin⁡>0, Dmax⁡<∞, Cmax⁡<∞, and 0<ϵ≤1 satisfying λmin⁡(ΣSS)≥Cmin⁡,λmax⁡(Σ)≤Cmax⁡,∥(ΣSS)−1∥∞≤Dmax⁡,∥ΣScS(ΣSS)−1∥∞≤1−ϵ, the Schur conditional covariance ΣSc∣S:=ΣScSc−ΣScS(ΣSS)−1ΣSSc satisfies λmin⁡(ΣSc∣S)≥1/Cmax⁡. Here ∥M∥∞=max⁡i∑j∣Mij∣.

Facts & Assumptions

Given: The matrix inequality stated above is proposed for all positive-definite unit-diagonal Σ and admissible S,Cmax⁡.

[A1]

For a block matrix with invertible leading block, the expression ΣScSc−ΣScS(ΣSS)−1ΣSSc is the Schur complement; here it is defined by the displayed formula.

Counterexample

1.1givenconstructalgebra

Fix any integer s≥1, set p=2s, S={1,…,s}, and take Σ=(Is34Is34IsIs) with Cmin⁡=1, Cmax⁡=7/4, Dmax⁡=1, and ϵ=1/4. The vectors (u,u) and (u,−u) have eigenvalues 7/4 and 1/4 for every u∈Rs, and these subspaces span R2s; hence Σ is positive definite with unit diagonal and maximum eigenvalue Cmax⁡. Also ΣSS=Is, so its minimum eigenvalue is Cmin⁡ and its inverse infinity norm is Dmax⁡, while ∥ΣScSΣSS−1∥∞=3/4=1−ϵ. Thus all stated covariance hypotheses hold.

2.1A1step 1.1algebra∎

Substitution in [A1] gives ΣSc∣S=Is−(3Is/4)Is−1(3Is/4)=7Is/16, so λmin⁡(ΣSc∣S)=7/16<4/7=1/Cmax⁡ since 49<64. Direct block multiplication gives Σ−1=(16/7)(Is−3Is/4−3Is/4Is), whose lower-right block is 16Is/7, the inverse of the conditional covariance rather than the conditional covariance itself. Thus the proposed bound is false.

Source notes

For this block family, the lower-right block of Σ−1 is 16Is/7, the inverse of ΣSc∣S, not ΣSc∣S itself.

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