We deploy numerical semidefinite programming and conversion to exact rational inequalities to certify that for a positive semidefinite input polynomial or rational function, any representation as a fraction of sums-of-squares of polynomials with real
coefficients must contain polynomials in the denominator of degree no less than a given input lower bound. By Artins solution to Hilberts 17th problems, such representations always exist for some denominator degree. Our certificates of infeasibility are based on the generalization of Farkass Lemma to semidefinite programming. The literature has many famous examples of impossibility of SOS representability including Motzkins, Robinsons, Chois and Lams polynomials, and Reznicks lower degree bounds on uniform denominators, e.g., powers of the sum-of-squares of each variable. Our work on exact certificates for positive semidefiniteness allows for non-uniform denominators, which can have lower degree and are often easier to convert to exact identities. Here we demonstrate our algorithm by computing certificates of impossibilities for an arbitrary sum-of-squares denominator of degree 2 and 4 for some symmetric sextics in 4 and 5 variables, respectively. We can also certify impossibility of base polynomials in the denominator of restricted term structure, for instance as in Landaus reduction by one less variable.
