Normalize by and put . Write , with and . In the usual coefficient-exponent convention, the Newton polygon is the lower boundary of the convex hull of the upward vertical rays starting at
It runs from to , with nondecreasing slopes from left to right. Zero coefficients contribute no finite point. Equivalently it is the largest convex piecewise-linear function lying below all these coefficient points.
The Newton polygon root valuation theorem says that a segment of slope and horizontal length accounts for exactly roots of valuation , counted with multiplicity, using the extended valuation on an algebraic closure. The nonzero constant coefficient excludes a zero root.
For a short justification, use the weighted Gauss valuation for . It is multiplicative: after scaling by an element of valuation in a valued extension, the initial nonzero residue polynomials multiply without vanishing. Rational suffice. Factoring a monic polynomial into linear factors gives . This supporting-line function changes derivative at precisely the root valuations; its derivative drops count their multiplicities. Supporting lines to the lower polygon have slope , proving the sign and horizontal-length assertion.
Slope convention for part (b). Reflecting the horizontal axis, by plotting , produces the reflected Newton polygon convention; its slopes are the root valuations themselves. Part (b)'s wording with instead of is correct under this positive-root-valuation convention. The proof below gives both forms explicitly, so the result does not depend on silently changing the sign.
A finite field extension is a separable field extension if every element of has a minimal polynomial over with distinct roots in an algebraic closure. The primitive element theorem says that a finite separable field extension is for some .
If is finite, then so is . The multiplicative group of a finite field is cyclic, so a generator of generates as a field. To justify the group fact, a finite subgroup of a field's multiplicative group is cyclic: in a finite abelian group its exponent is attained as an element order, while the polynomial root bound forces its size to be at most that exponent.
If is infinite, first consider . The minimal polynomials of and have distinct roots in an algebraic closure. Choose , , avoiding the finitely many values for which for a pair other than . Set . Over , the polynomials and have precisely one common root, . Their monic greatest common divisor is therefore , so and . Thus . Induct over finitely many generators of the finite separable field extension. This proves every finite separable extension is simple.
Write , where . For
the derivative is
so is a separable polynomial and all its roots in its splitting field are distinct.
Let be the set of these roots. The Frobenius endomorphism and the identities
show that is closed under addition and multiplication. It is also closed under additive inverses and, for , inversion. Thus is a finite field. Since splits into distinct linear factors, . The field generated by all roots is therefore itself, so and
Hence the polynomial characterization of a finite field gives
Now let be irreducible of degree , and let be a root in an algebraic closure. The minimal polynomial of an algebraic element gives
so has elements. Its nonzero elements form a finite group under multiplication, of order ; hence . Therefore is a root of , and its minimal polynomial divides every polynomial over that vanishes at . Thus the irreducible factors of a finite-field Frobenius polynomial satisfy
An algebraic closure of a field is an algebraically closed field that is an algebraic extension of .
By definition, every element of
is algebraic over , and the question allows us to use that this set is a field. It remains to prove that it is algebraically closed.
Let be nonconstant. Its finitely many coefficients generate a finite extension . By the fundamental theorem of algebra, has a root . Since is a root of a polynomial over , it is algebraic over ; since is algebraic, transitivity of algebraic extensions makes algebraic over . Thus . Repeating after division by shows that splits there, so is algebraically closed and is an algebraic closure of .
Choose finite generating sets and , using the Hilbert basis theorem. The assumed inclusion says that each vanishes on . By the Strong Hilbert Nullstellensatz, for every there is an exponent such that
The coefficients in an expression solve a finite system of linear equations with rational coefficients. Since it has a complex solution, Gaussian elimination gives a rational solution. Clearing the finitely many denominators produces a nonzero integer such that
for every .
For any prime , reduce these identities modulo . At a common zero of in the algebraic closure , they give , hence , for all . Therefore
for every prime except the finitely many divisors of . This is the spreading out of an affine zero-set inclusion.
For such a field ,
when the transcendence degree is infinite, while finite transcendence degree also gives a countable field. This follows by counting rational functions in a transcendence basis and then algebraic elements over that field. Thus every first-order model of cardinality has transcendence degree , and the classification gives a unique such first-order model.
On the other hand and an algebraic closure of are countably infinite first-order models with transcendence degrees zero and one, so are not isomorphic. Hence
The transcendental complete one-type consists of for every nonzero polynomial over . Quantifier elimination makes it complete. It is nonprincipal: any parameter-free one-variable logical formula containing a transcendental element defines a cofinite set, hence contains algebraic elements as well and cannot isolate this partial type. The first-order model omits it, concretely illustrating the omitting types theorem. The existence of infinitely many algebraic complete one-types, together with this nonprincipal complete type, also agrees with the failure of the Ryll-Nardzewski finiteness condition.
An algebraically closed field is a field in which every nonconstant polynomial has a root, equivalently every such polynomial splits. An algebraic closure of is an algebraic extension of which is algebraically closed.
For the displayed subset , if are algebraic over , then is finite. Sums, differences, products and nonzero inverses of its elements are algebraic over , so is a subfield. If a nonconstant polynomial has coefficients in , those finitely many coefficients generate a finite extension . It has a root by algebraic closure of , and is algebraic over . Part (i) makes it algebraic over , so . Hence is algebraically closed and is an algebraic closure of .
Every lies in the finite subextension , and every element of a finite subextension is algebraic over . Therefore is exactly the union of all finite subextensions inside . The two examples follow.
An element is algebraic over if it is a zero of some nonzero polynomial in . An extension is algebraic if every element is algebraic. If , the elements are linearly dependent over , proving every is algebraic.
The converse fails for the algebraic closure inside . All its elements are algebraic by definition, but it contains of degree for every positive integer , since is irreducible by Eisenstein's criterion at two. A finite extension could not contain elements of unbounded degree, so this algebraic extension is infinite.
For , nonzero roots define projective-point coordinates , satisfying , where . This polynomial is irreducible over . After fixing one root , the remaining coordinates satisfy . Substitute and : the equation becomes . At a nontrivial th root of unity the second term has a simple zero, so the polynomial is Eisenstein over the algebraic closure's rational function field. This proves irreducibility of and hence two-transitivity on projective points.
Resultant Created 2026-09-24 Updated 2026-10-18
The resultant turns a shared-root of a polynomial question into a calculation using only coefficients. For nonconstant univariate polynomials over a field , with their actual polynomial degrees , define
where is the Sylvester matrix. Then
Here is an algebraic closure. The common root need not lie in : two real polynomials may share a nonreal complex root. The subscript identifies which variable is eliminated.[ref]
The useful surprise is that a determinant detects a shared root of a polynomial without first finding either list of roots of a polynomial. If the coefficients depend on a parameter, the resultant itself is a polynomial in that parameter. Its zeros pick out possible exceptional parameter values. Elimination theory uses this to reduce a pair of polynomial equations in two variables to a single necessary equation in one variable; eliminating a variable with a resultant gives an exact example below.
A nonzero resultant also supplies a certificate that and are coprime polynomials. The Sylvester matrix then solves for polynomials satisfying , a Bézout's identity for polynomials. Evaluating such an identity at a hypothetical common root would give .
Write and in an algebraic closure, counting multiplicity of a root. The coefficient-row convention above gives
This makes the shared-root of a polynomial test transparent: a factor vanishes precisely when one equals one . Swapping the two polynomials reverses the sign of all differences, giving .[ref]
The value measures an algebraic product, not a normalized geometric distance. Replacing by for nonzero leaves its roots of a polynomial unchanged but multiplies the resultant by . Therefore a small numerical resultant alone does not quantify how close two sets of roots of a polynomial are. Exact zero testing and numerical sensitivity are different questions.
A multiple root of a polynomial is also a root of a polynomial of its formal derivative. In characteristic zero, for , the associated discriminant is
For example, gives and . The two roots of a polynomial merge precisely at .[ref]
These roots are taken in an algebraic closure, not merely in . If the characteristic of a field is and with , then ; hence there are distinct roots. They form a cyclic group by the finite multiplicative subgroup of a field is cyclic theorem. In particular they have order when .
Smooth-locus group of a singular Weierstrass cubic Created 2026-10-06 Updated 2026-10-07
For a singular projective Weierstrass cubic, its smooth locus of a variety contains the point at infinity and carries the chord-and-tangent group law. The singular point is excluded. Over an algebraic closure, a node gives the multiplicative algebraic group and a cusp gives the additive group. A node whose branches are not defined over the base field gives a nonsplit one-dimensional algebraic torus. This group is distinct from an elliptic curve, whose projective model is smooth.
Sylvester matrix Created 2026-10-14 Updated 2026-10-18
For polynomials of polynomial degrees , the Sylvester matrix has shifted coefficient rows of followed by shifted rows of , using descending-power order. It is a square matrix of size . Its transpose represents the linear map with , ; its determinant is the resultant.
For an original parameter example, choose and . Then
The two lists of coefficients become three rows because is multiplied by both and . Thus the common-root parameter values are and . At , the resultant is , so the two polynomials have no common root.
Figure 1.
A Sylvester matrix tests when a moving root of a polynomial coincides with a fixed one
. Original example , . Left: the vertical dashed line marks the root of a polynomial of ; it does not make zero. Right: the same test for all parameters is the function graph of the resultant . A crossing between two arbitrary function curves would not suffice: both values must be zero. Details.
One can verify the certificate without any determinant expansion:
For , division by gives a Bézout's identity for polynomials. At , the identity instead becomes a nontrivial cancellation between multiples of two polynomials sharing the polynomial factor .
The general proof needs only a short linear algebra outline. A common polynomial factor gives a nonzero cancelling pair within the degree bounds, making the Sylvester matrix singular. Conversely, if are coprime polynomials and , then divides ; the bound forces and then . Thus the linear map has zero kernel of a linear map exactly in the coprime case. Over an algebraic closure, a nonconstant common polynomial factor is equivalent to a common root.
In 1840, James Joseph Sylvester described forming the shifted coefficient rows and taking a signed sum of products selected by permutations. In modern notation, this is the Sylvester matrix and its determinant. The construction turns the nonlinear common-root of a polynomial question into linear algebra. His paper's word derivatives concerns elimination, rather than the formal derivative used below.[ref]
If is an unramified extension and is a totally ramified extension of non-Archimedean local fields inside a fixed algebraic closure, then is totally ramified of degree . A uniformizer of has an Eisenstein polynomial over . Since a uniformizer of remains a uniformizer in , that polynomial remains Eisenstein over and generates .