# A fixed obstruction at every regularization strength Large quartic regularization can make a cubic optimization model coercive without making its exact minimum shift a sum of squares. This package gives a concrete instance: one rational cubic with 25 monomials in 14 real variables works at every positive regularization strength. The construction has two independently checkable ingredients. First, an analytic contraction identity proves that the cubic has maximum one on the unit sphere, attained on a specified coordinate axis. Second, 450 rational moments define a linear functional that is nonnegative on the square of every quadratic polynomial and assigns the cubic the value ```math 1+\frac{753357629}{500000000000}. ``` The moments satisfy the sphere relation through degree four. They are a positive truncated functional, not the moments of a probability measure on the sphere. Positivity is certified by exact finite matrix identities. Scaling this single functional to the explicit minimizing radius separates the regularized polynomial from every sum of squares. An independent degree argument shows that a quartic SOS representation can use only quadratic summands. Thus the conclusion concerns ordinary real polynomial sums of squares, without an artificial restriction in the definition. The theorem allows any fixed positive strengths for the negative isotropic quadratic and for the cubic. It supplies an exact attained minimum and a strict quantitative gap at every positive parameter. The gap can approach zero as regularization grows; persistence means that it never vanishes at a finite positive parameter. An explicit companion cubic selects a unique sphere maximizer by averaging the original cubic with the first coordinate times the squared norm. It keeps the same 25 monomials and the same rational moment witness. Its regularized quartic has the same minimum formula, now attained at a unique point with positive-definite Hessian. Persistent failure of SOS exactness therefore holds even with this strong local geometry at the minimizer. The [companion proof](UniqueMinimizer.md) includes the exact curvature and separation constants. The origin retains its negative-definite Hessian. Further [radial consequences](RadialConsequences.md) optimize the scaling of the fixed witness, cover the zero-Hessian boundary, and exhibit a finite failure interval with positive-definite Hessian at the origin. These are written supplements, with their formal boundary stated explicitly. This is a negative answer to the stationary case with non-PSD Hessian raised in Cartis–Zhu, Remark 2.3. It does not conflict with sufficient conditions requiring a nonzero gradient or positive definite Hessian. The Choi–Lam quartic and the antecedent cubic normal form are credited in [Sources.md](Sources.md). The package claims the explicit example and its proved consequences, without asserting priority for the underlying forms or a smallest dimension.