Field Extensions
00 · Symbol Glossary
Read " over ." Means is a subfield of . The slash is notation, not division.
The dimension of as a vector space over (using 's scalars, 's vectors, and 's own addition and multiplication-by--elements). Finite or infinite.
The smallest field containing both and . Read " adjoin alpha."
The monic polynomial of least degree in having as a root, when is algebraic over .
The smallest subring of containing and — polynomial expressions in with coefficients in , before knowing whether inverses are needed.
01 · Extensions and Degree
If is a subfield of , is an extension of , written . Since 's scalars act on 's elements via 's own multiplication, is naturally a vector space over ; its dimension is the degree .
Every complex number is uniquely with — exactly the statement that is a basis for as an -vector space. So .
contains uncountably many elements but -linear combinations of any finite list of reals form only a countable set — so no finite basis can span over . .
02 · The Tower Law
If are fields with and both finite, then is finite and:
Let be a basis for over () and a basis for over (). Claim: ( elements) is a basis for over .
Spanning. Any is a -linear combination (). Each , being in , is an -linear combination (). Substituting: — an -linear combination of the .
Independence. Suppose with . Regroup as . Each coefficient lies in ; since is independent over , every one of these -coefficients must be : for each . Since is independent over , this forces for every (for each fixed ). So all .
The products span and are -linearly independent: a basis. So .
. If and (verified in Section 05), Theorem 18.1 gives — instantly, without constructing a basis of the full four-dimensional space by hand.
03 · Algebraic Elements and Minimal Polynomials
Let be an extension. is algebraic over if for some nonzero ; otherwise is transcendental over .
If is algebraic over , its minimal polynomial is the monic polynomial of least degree in with .
is irreducible over , and it is the unique monic polynomial of its degree vanishing at .
Irreducible. Suppose with . Then ; since is a field (no zero divisors), or . Either way, a polynomial of degree strictly less than vanishes at — contradicting minimality (after scaling to make it monic, using that is a field so any nonzero leading coefficient is invertible). So no such factorization exists (beyond trivial unit factors): is irreducible.
Unique. Suppose is also monic of degree with . Then , and (the leading terms, both monic of the same degree, cancel). If , scaling to monic gives a smaller-degree polynomial vanishing at , contradicting minimality. So : .
04 · Simple Extensions
The minimal polynomial completely determines the structure of the smallest field containing .
In a PID , every nonzero prime ideal is maximal.
Suppose for some . Then , so for some . Since is prime, is a prime element (Chapter 15's convention), hence irreducible (Theorem 15.3). So in , either or is a unit. If is a unit, . If is a unit, is an associate of , so . Either way, no ideal sits strictly between and : is maximal.
Let be algebraic over with minimal polynomial of degree . Then:
with a basis for over .
Consider the evaluation homomorphism , (a ring homomorphism, Chapter 13's evaluation example specialized to polynomials). is an ideal (Theorem 13.3); since is Euclidean (Chapter 15), hence a PID, this ideal is for some , and has the minimal degree among nonzero elements of the ideal (the proof of Theorem 15.1 identifies the generator exactly this way) — so is (up to a unit scalar) the minimal polynomial: .
is a nonzero prime ideal: is irreducible (Theorem 18.2), hence prime in the PID (Theorem 15.4). By Lemma 18.3, is maximal. By Theorem 12.6, is a field.
By the First Isomorphism Theorem (Theorem 13.6): , i.e. (the image is exactly the subring generated by over , since every polynomial expression in is hit). Since the left side is a field, is already a field — meaning (a field containing and that's already closed under inverses needs nothing more adjoined).
Finally, by the division algorithm (Theorem 14.5), every coset in has a unique representative of degree (divide by and keep the remainder), so is a basis for over , corresponding to under the isomorphism. So .
is a root of , irreducible over (no rational root, by the classical proof that is irrational, together with Corollary 14.7 — a degree-2 polynomial with no root can't factor into two degree-1 pieces). So , and by Theorem 18.4:
with basis — matching the familiar description .
is irreducible over (Chapter 15, Section 06's example: no real root). By Theorem 18.4, is a field of degree 2 over , with basis (writing for the coset ) satisfying (since modulo ). This field is exactly , with playing the role of — the complex numbers, built with no appeal to square roots of negative numbers, purely as a quotient of a polynomial ring.
05 · A Degree-4 Extension
(Section 04). Working inside , consider over the base field : satisfies , and this remains irreducible over (if for , squaring gives ; since , this forces , and checking gives with no rational solution, while gives , also no rational solution — so no such exist, and ). So by Theorem 18.4 applied over the base field .
By the Tower Law (Theorem 18.1): , with basis (products of the two individual bases, as in Theorem 18.1's proof).
06 · Finite Extensions Are Algebraic
If is finite, every is algebraic over .
Let . The elements all live in the -dimensional -vector space , so they are linearly dependent over (more vectors than the dimension): there exist , not all zero, with . This is exactly the statement that is a root of the nonzero polynomial : is algebraic over .
The converse direction — combining Theorem 18.4's degree formula with the Tower Law — shows that adjoining finitely many algebraic elements always produces a finite extension, exactly as Section 05's example demonstrated for . Finiteness and "built from algebraic elements" turn out to be two sides of the same coin, a theme Chapter 20's Galois correspondence relies on constantly.
07 · Exercises
Apply the Tower Law directly, using the given intermediate degrees.
By Theorem 18.1: .
If and , find using the Tower Law.
Find a polynomial with rational coefficients having as a root, and check irreducibility (no rational root, and it can't factor as degree 1 times degree 2 without a rational root).
is a root of . Rational root test: any rational root would be (divisors of the constant term), and none satisfy . Since a degree-3 polynomial with no rational root cannot factor into a linear times a quadratic (the linear factor would supply a rational root, by the Factor Theorem, Theorem 14.6), is irreducible over .
By Theorem 18.4, and .
Find the minimal polynomial of over , and state .
Apply Theorem 18.5 directly — you don't need to find the polynomial explicitly.
Since (Section 05) is finite, Theorem 18.5 guarantees (an element of this field) is algebraic over , without needing to exhibit the polynomial. (It happens to satisfy , found by repeatedly squaring and eliminating radicals — but Theorem 18.5 guarantees algebraicity before any such computation.)
Using Theorem 18.5 alone (without finding an explicit polynomial), explain why must be algebraic over .
Apply Theorem 18.4 with the given irreducible polynomial directly.
is irreducible over (checking both elements of : ; — no root, and a degree-2 polynomial with no root over a field is irreducible). By Theorem 18.4, is a field with , hence elements: basis over , giving elements . This is a field with exactly 4 elements — resolving Exercise 17.2's question by explicit construction.
Using Theorem 18.4 and the irreducible polynomial over , construct a field with exactly 4 elements.
08 · Chapter Summary
| Concept | Statement |
|---|---|
| Extension, degree | ; |
| Tower Law | (Thm 18.1) |
| Algebraic / transcendental | Root of some / no nonzero |
| Minimal polynomial | Least-degree monic vanishing at ; irreducible and unique (Thm 18.2) |
| Nonzero prime ideals in a PID | Always maximal (Lemma 18.3) |
| structure | ; (Thm 18.4) |
| from | |
| Finite algebraic | finite every element of algebraic over (Thm 18.5) |
Next: Chapter 19 — Splitting Fields & Algebraic Closures builds the smallest extension in which a given polynomial factors completely into linear pieces, the essential setting for Galois theory.