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.
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