X72-08: Transfer-Dispersion Covariance Feedback

Continuing from Round 07's STOP-C11, this round tests the hypothesis that 'spectral variance automatically suppresses nonlinear transfer.' Proves a universal lower bound for the viscous covariance, Cov(r,r²) ≥ mV, which is always positive, but refutes — by an explicit counterexample (a two-point frequency measure) — that the variance must decrease monotonically under pure diffusion, and also refutes that a single α can determine the direction of spectral drift (a single-observable rejection theorem X_{Γ_α} in another restricted context). The original hypothesis is thus not proven; the problem is compressed exactly into the covariance comparison ζ_{τ,s} = Cov(r,ϑ)/(νCov(r,r²)) ≤ 1, stopping at STOP-C12 (the nonlinear-transfer/dispersion-covariance gap), and handing off to the next round's substitution of the actual Navier–Stokes Fourier-triad convolution expansion for ϑ.