Homogeneous sum of squares representation 2026-10-05
If a degree- homogeneous polynomial is a sum of squares polynomial, it has a representation as squares of degree- homogeneous polynomials. In any sum of squares, the highest-degree terms cannot cancel, since their homogeneous part is itself a sum of squares. Likewise the lowest nonzero degree cannot cancel. Thus every nonzero summand has only degree .
Nonnegative polynomial 2026-10-05
A real polynomial is globally nonnegative if its value is nonnegative at every point of its real domain. A sum of squares polynomial is always nonnegative, but the Horn copositive matrix gives a nonnegative quartic polynomial that is not a sum of squares polynomial.
Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 339 3 b Solution Created 2026-10-03 Updated 2026-10-05
First suppose , with a real positive semidefinite matrix and a symmetric nonnegative matrix. Factor , and write . ThenEach term is a square multiplied by a nonnegative scalar, so is a sum of squares polynomial.
Conversely, suppose . Because is a degree-four homogeneous polynomial, the homogeneous sum of squares representation allows every to be quadratic and homogeneous. Explicitly, higher-degree parts cannot cancel in a sum of squares; constant parts vanish because , and the degree-two part forces all linear parts to vanish. WriteSince is invariant under every coordinate sign change, sign averaging of a sum of squares over independent Rademacher random variables givesThe cross terms vanish because their sign products contain an odd power of at least one independent sign. SetThen is a positive semidefinite matrix and is a symmetric nonnegative matrix. Comparing the coefficients of and gives . This proves the sum of squares criterion for a biquadratic form.
Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 339 3 d Solution Created 2026-10-03 Updated 2026-10-05
Suppose , where is a positive semidefinite matrix and is a symmetric nonnegative matrix. Since , both and are nonnegative. Their sum is zero, so both vanish. In particular,Every coefficient in this sum is strictly positive and every is nonnegative, forcing for .
Now apply the same argument to all five cyclic shifts of . The Horn copositive matrix is cyclically invariant, so every shifted vector also has zero quadratic form. It follows that the entries of vanish on every cyclic block of three consecutive indices. Every pair of indices on a five-cycle lies in such a block, hence .
This would imply . But the zero quadratic form of a positive semidefinite matrix would then force , contradicting . Therefore lies outside the positive-semidefinite-plus-nonnegative cone. By the previous equivalence, its quartic form is a nonnegative polynomial that is not a sum of squares polynomial.