For the quadratic polynomial , the discriminant is , so its roots of a polynomial are the complex conjugates
Their sum is , and their product is , matching the constant coefficient divided by the leading coefficient. More revealingly, : the product is the square of a complex modulus. Coefficients in the real numbers therefore need not imply polynomial roots in the real numbers.
Figure 1.
Complex conjugate roots of satisfy the same coefficient identities
. The two stipulated roots of a polynomial are reflections across the real axis of the complex plane. Their sum cancels the imaginary parts, and their product is the squared complex modulus . The pale arc marks that common complex modulus. Both positions belong in the root list even though there are no roots of a polynomial in the real numbers. Details.
For any polynomial with coefficients in the real numbers, . Thus a nonreal root of a polynomial brings its complex conjugate along with the same multiplicity of a root. This follows by applying complex conjugation to the polynomial expression and its factors. It explains why sums of complex conjugate terms can produce coefficients in the real numbers.
Cubic equation Created 2026-10-05 Updated 2026-11-05
A cubic equation is a polynomial equation of degree of a polynomial three, , with . Its three complex roots of a polynomial, counted with multiplicity of a root, need not all have physical significance in an application; a model often selects a branch by continuity from a known limit.
For two polynomials over the complex numbers of equal positive degree of a polynomial with no common root of a polynomial, there are unique polynomials of degree of a polynomial less than such that . To prove the bound, let be the vector space of polynomials of degree of a polynomial at most , including the zero polynomial. The linear map from to has zero kernel of a linear map: if , each root of a polynomial of , counted with its multiplicity of a root, must occur in because it does not occur in , forcing by the degree of a polynomial bound, and then . Both vector spaces have dimension , so the rank-nullity theorem makes the linear map a bijection, and has a unique preimage.
Descartes' rule of signs Created 2026-10-06 Updated 2026-10-14
Let be the number of sign changes in the list of nonzero coefficients of a real polynomial, arranged by increasing or decreasing degree. The positive roots of a polynomial, counted with multiplicity of a root, satisfy
The bound follows by induction on the nonzero terms after removing the lowest power of . Differentiation removes the constant coefficient. If it and the next coefficient have opposite signs, the Rolle root count with multiplicities loses at most one root and the sign-change count loses one. If their signs agree, the derivative must have an extra root before the first positive root, so neither count needs that extra allowance. The parity statement follows by comparing the signs near zero and at positive infinity: roots of odd multiplicity reverse the sign, and roots of even multiplicity preserve it. Apply the same rule to to bound negative roots.
Double root Created 2026-10-14 Updated 2026-11-05
A root of a polynomial is double when its multiplicity of a root is exactly two. Equivalently, with . A generic small perturbation splits it according to square-root splitting of a double polynomial root. Over a field of characteristic different from two, the derivative test is and . In characteristic two, use the Hasse derivative: a double root of has zero second ordinary formal derivative but nonzero second Hasse derivative.
If and is nonnegative on the unit circle, a root of a polynomial there has even multiplicity of a root. Indeed is a real analytic nonnegative function, whose first nonzero term in its Taylor series at a zero must have even order. The map has a simple zero, and multiplication by is nonvanishing, so the order equals the polynomial multiplicity.
Interlacing roots of polynomials Created 2026-10-14 Updated 2026-10-20
Two real polynomials with only real roots of a polynomial interlace when their ordered roots alternate, counting multiplicity of a root. For equal polynomial degrees, one ordering is the displayed chain; the opposite ordering is also permitted. Consecutive degrees give the analogous chain with one extra root at each end for the higher-degree polynomial. Strict interlacing uses strict inequalities. Weak interlacing permits common roots and follows as a limit of strict interlacing.
Three explicit functions separate the hypotheses from the conclusion. These are original mathematical illustrations, not measured data.
The polynomial function is a continuous function on , with and . The intermediate value theorem guarantees at least one zero of a function in the interior, while the polynomial factorization displays three: . Thus strict opposite signs do not establish uniqueness.
The everywhere-defined function
has and , yet no zero of a function. Its jump discontinuity at zero is exactly where the continuity hypothesis fails. A drawn vertical connector would be misleading: the function graph contains neither the intermediate heights nor a zero of a function at that jump. Even continuity only on the interior is insufficient: setting for and gives opposite endpoint signs on with no zero of a function, because the left one-sided limit at is not .
The polynomial function on is a continuous function, and , yet . Its root of a polynomial at zero has multiplicity of a root two. The function graph touches its horizontal tangent line there and stays positive on both sides: existence of a zero of a function does not require a sign change. More generally, near a real root of a polynomial , a polynomial factorization with and has the same sign on both sides sufficiently close to , since the continuous function retains its sign. The intermediate value theorem does not rule out values outside the range between endpoint outputs.[ref]
Figure 1.
Intermediate value hypotheses: three continuous roots, a jump with no root, and a double root without a sign change
. Details.
Localization of a zero-dimensional polynomial model Created 2026-10-06 Updated 2026-11-05
With a nonconstant polynomial, positive area measure and Berezin integration oriented positively, a holomorphic polynomial insertion in equals , where and is the multiplicity of a root. Rescaling by leaves the insertion fixed and localizes it as .
Multiple root Created 2026-09-24 Updated 2026-10-20
A root is multiple when its multiplicity of a root is greater than one.
The coefficients are real, so the supplied polynomial root has its complex conjugate as another polynomial root. Their monic polynomial factor of degree two is
Polynomial division then gives
Thus all five polynomial roots, with multiplicity of a root, are
Their sum is and their product is , agreeing with solution and solution.
Using the printed convention that the projective points represent lines of binary quartics, the locus of GIT stable points is
The root at infinity is included. We determine stability by calculating every relevant algebraic one-parameter subgroup weight.
Use the natural action . Every nontrivial algebraic one-parameter subgroup of is conjugate to for some integer : its two integral weights of a representation sum to zero, and a basis of weight vectors can be rescaled to have determinant one. Write
If , then is the multiplicity of a root at the projective point : in the local coordinate , the polynomial begins with a nonzero multiple of .
The Hilbert-Mumford criterion for projective stability, with (active weights), now gives
Being a GIT stable point requires this number to be strictly positive for every nontrivial subgroup. Conjugating the subgroup lets range over the entire projective line. Thus the root-multiplicity criterion for stable binary forms becomes at every point . A nonzero degree-four form over has four projective roots counted with multiplicity, so this means precisely four distinct roots. This is equivalently nonvanishing of its discriminant.
The boundary cases show why a weak inequality would give the wrong answer. A triple or quadruple root can be moved to , leaving only strictly positive weights; its affine representative tends to zero under that subgroup, so it is unstable. If all root multiplicities are at most two, all Hilbert-Mumford values are nonnegative and the point is a GIT semistable point. A double root gives a zero value for a suitable subgroup, so never represents a GIT stable point. More concretely, after putting that double root at one has
and . When there are three distinct roots, this limiting form, representing a GIT semistable point with two distinct roots, is outside the original group orbit, so that group orbit is not closed in the semistable locus. When there are two double roots, a change of coordinates gives , which has the positive-dimensional diagonal torus as stabilizer. Neither case represents a GIT stable point.
For a form with four distinct roots, the projective stabilizer is finite: it permutes the four roots, and a Möbius transformation fixing three distinct points is the identity. Thus its image in injects into the finite permutation group on the roots. The kernel of a group homomorphism for is , also finite. This agrees with the finite-stabilizer condition in geometric invariant theory. The weight calculation already supplies the required strict stability condition for every conjugate subgroup.
Rescale with . After Berezin integration, the unnormalized holomorphic function insertion is
Its derivative is an ordinary total derivative:
The last equality again follows from polynomial growth and exponential decay. Thus the insertion is independent of , and supersymmetric localization allows evaluation as at the zeros of , as in localization of a zero-dimensional polynomial model.
For a simple zero , . The local Gaussian integral cancels the factor and contributes . For a zero with multiplicity of a root , write . Its leading radial integral is
The insertion tends to there; contributions away from the zeros vanish. Therefore the full answer, including degenerate critical points, is
This is an unnormalized expectation. For simple zeros all ; division by would give the normalized average, but is not part of the requested insertion. Taking recovers the partition function, and taking recovers its vanishing supersymmetric Ward identity.
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.
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.
Suppose, for a contradiction, that and have no common root of a polynomial. Since the polynomial ring has no zero divisors and , the relation with not both zero forces both and to be nonzero.
By the fundamental theorem of algebra, write
where the are distinct. For each , . The equality implies that divides . The multiplicity of a root in polynomial multiplication is the sum of its multiplicities in the factors: factor out the largest powers of and note that the two remaining factors have nonzero values at . Since , must contain .
Thus has at least roots of a polynomial counted with multiplicity of a root, so . This contradicts . Consequently
Counting multiplicity of a root is necessary: counting only distinct roots of a polynomial would miss repeated factors.
Let . Its values at useful points are
Since a polynomial is a continuous function, the intermediate value theorem gives one polynomial root in each of the disjoint intervals , and . A nonzero cubic polynomial has at most three distinct polynomial roots. Hence it has
These three distinct polynomial roots already exhaust its degree of a polynomial, so each has multiplicity of a root one.
Yes: for the stated inequality guarantees zero-stability. Part (ii) puts every polynomial root in the closed unit disc. The remaining root condition for a multistep method is that every root on the unit circle has multiplicity of a root one.
If this failed for a quadratic polynomial, it would have a repeated root with , and
Consequently and , contradicting
because . Thus all roots on the unit circle are simple and
This conclusion does not assert consistency of a numerical method: part (i) rules out consistency of a numerical method whenever the coefficient inequality is strict. Zero-stability and consistency of a numerical method are separate requirements.