On the unit circle, , so
Thus the trigonometric polynomial is nonnegative, with a zero at , and
Equivalently, writing gives . The factor has polynomial degree one as required. Multiplication of by any constant of modulus one leaves the factorization unchanged; uniqueness of is not claimed.
This is the simplest instance of the Fejér–Riesz theorem, where nonnegativity of a trigonometric polynomial on the unit circle admits a polynomial modulus-square factorization.
Since is real on the unit circle,
Multiply the difference by . It is an ordinary polynomial of polynomial degree at most vanishing at every point of the unit circle. A nonzero polynomial has only finitely many roots of a polynomial, so all its coefficients vanish. This proves the conjugate symmetry of trigonometric polynomial coefficients:
For arbitrary nonzero complex , coefficient substitution now gives precisely
Equivalently . The complex conjugation on the right applies to the whole value, including the coefficients; it cannot simply be discarded away from the circle.
The PDF additionally assumes . Then , so the ensuing polynomial has polynomial degree exactly and nonzero constant term. These clauses and this subpart are absent from the damaged TeX, but present in the PDF.
For , the coefficient symmetry yields
Thus equals its reversed-conjugate polynomial. If is a root of a polynomial, with , this identity gives , proving
The reciprocal-conjugate root pairing also preserves the multiplicity of a root: reversal and complex conjugation take each factor associated with to the corresponding factor associated with , with the same exponent.
Since , no zero root of a polynomial occurs, so the reciprocal operation is always defined on the roots of a polynomial. Roots off the unit circle are paired on opposite sides of it; roots of a polynomial on the unit circle are fixed by this operation. Pairing alone does not force even multiplicity at those fixed roots of a polynomial; that extra fact uses nonnegativity.
Pair the off-circle roots of a polynomial using reciprocal-conjugate root pairing, and split each unit-circle root of a polynomial's even multiplicity equally between the two members of a pair. The fundamental theorem of algebra and the leading coefficient give . None of the selected is zero.
On the unit circle, the identity
turns into
At a point of the unit circle outside the finite set of roots of a polynomial, the product is positive and is nonzero and nonnegative. Its ratio to the product is therefore real and strictly positive. This proves , even though the algebraic expression initially permits a complex constant. Consequently
This proves the Fejér–Riesz theorem for a nonzero trigonometric polynomial of actual order . A positive constant has a constant square-root factor, and the identically zero trigonometric polynomial has ; if for a specified upper order , reduce to the actual order first.
Although the PDF permits assuming even multiplicity, there is a short proof of even multiplicity of unit-circle roots of a nonnegative trigonometric polynomial. The real analytic function cannot have a zero of odd order. Near , has a simple zero, and the nonzero factor leaves the zero order of unchanged. Hence the multiplicity of a root must be even.
Collect the factor's coefficients in the column vector and set
This is a Hermitian matrix and a positive semidefinite matrix, because for every complex vector ,
On the unit circle, expanding the modulus square gives
Uniqueness of the finite Laurent polynomial coefficients, proved as in part (b)(i), therefore gives
This is the rank-one spectral-factor Gram matrix. The matrix has matrix rank one when and zero when . The orientation is the PDF's convention: using instead would generally interchange and .
For on the unit circle, use the conjugated monomial vector
Then the prescribed diagonal sums give
Positive semidefiniteness proves
This is the Gram matrix representation of a trigonometric polynomial. The Hermitian condition also implies , so its values on the unit circle are real. The conjugated monomial vector is required by the source's convention; the unconjugated vector would represent instead.
In particular . If this matrix trace is zero, all nonnegative eigenvalues vanish and , so . A general feasible Gram matrix need not have matrix rank one; the Fejér–Riesz theorem ensures a rank-one representative exists whenever the nonnegative trigonometric polynomial is nonzero.

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