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Field Extensions; Tower Law; Algebraic Closure

At a Glance

Why This Chapter Matters

Field extensions are the conceptual heart of Galois theory and underpin every solvability-by-radicals argument. UPSC 2016 set two sub-parts on this topic totalling 35 marks — among the heaviest algebra allocations in recent years. The tower law is the workhorse: if you can compute degrees correctly, you can answer nearly any degree-of-extension question. The proofs demanded involve minimal polynomials, the simple extension theorem, and properties of algebraic elements — all highly structured and template-driven once the definitions are in order.

Minimum Theory

Field Extensions

A field extension K/FK/F means that KK is a field and FF is a subfield of KK (a subset closed under ++, \cdot, and inverses that is itself a field with the same operations).

The degree of KK over FF is [K:F]=dimFK,[K : F] = \dim_F K, the dimension of KK as a vector space over FF. We say K/FK/F is finite if [K:F]<[K:F] < \infty.

Tower Law (Degree Formula)

Theorem. If FKEF \subseteq K \subseteq E are fields then [E:F]=[E:K][K:F].[E : F] = [E : K] \cdot [K : F].

Proof. Let {ui}iI\{u_i\}_{i \in I} be an FF-basis of KK and {vj}jJ\{v_j\}_{j \in J} be a KK-basis of EE.

Claim: {uivj}iI,jJ\{u_i v_j\}_{i \in I, j \in J} is an FF-basis of EE.

Spanning: Any eEe \in E writes as e=jcjvje = \sum_j c_j v_j with cjKc_j \in K, and each cj=iaijuic_j = \sum_i a_{ij} u_i with aijFa_{ij} \in F, so e=i,jaijuivje = \sum_{i,j} a_{ij} u_i v_j.

Linear independence over FF: Suppose i,jaijuivj=0\sum_{i,j} a_{ij} u_i v_j = 0 with aijFa_{ij} \in F. Rewrite as j(iaijui)vj=0\sum_j \left(\sum_i a_{ij} u_i\right) v_j = 0. Since vjv_j are KK-linearly independent and iaijuiK\sum_i a_{ij} u_i \in K, each coefficient iaijui=0\sum_i a_{ij} u_i = 0. Since uiu_i are FF-linearly independent, each aij=0a_{ij} = 0.

Hence [E:F]=IJ=[K:F][E:K][E:F] = |I| \cdot |J| = [K:F] \cdot [E:K]. \blacksquare

Algebraic Elements and Minimal Polynomials

αK\alpha \in K is algebraic over FF if p(α)=0p(\alpha) = 0 for some non-zero pF[x]p \in F[x].

The minimal polynomial mαF[x]m_\alpha \in F[x] of α\alpha over FF is the unique monic polynomial of least degree such that mα(α)=0m_\alpha(\alpha) = 0.

Properties of the minimal polynomial:

Simple Extensions

Theorem. If α\alpha is algebraic over FF with minimal polynomial p(x)p(x) of degree nn, then F(α)F[x]/p(x)F(\alpha) \cong F[x]/\langle p(x) \rangle as FF-algebras, and [F(α):F]=n[F(\alpha) : F] = n.

A basis for F(α)F(\alpha) over FF is {1,α,α2,,αn1}\{1, \alpha, \alpha^2, \ldots, \alpha^{n-1}\}.

Algebraic Extensions

An extension K/FK/F is algebraic if every αK\alpha \in K is algebraic over FF.

Theorem. Every finite extension is algebraic.

Theorem. If FKEF \subseteq K \subseteq E and both K/FK/F and E/KE/K are algebraic, then E/FE/F is algebraic.

Algebraic Closure

A field Fˉ\bar{F} is an algebraic closure of FF if:

  1. Fˉ\bar{F} is algebraic over FF, and
  2. Fˉ\bar{F} is algebraically closed (every non-constant polynomial in Fˉ[x]\bar{F}[x] has a root in Fˉ\bar{F}).

Every field has an algebraic closure, unique up to isomorphism.

Examples: QˉC\bar{\mathbb{Q}} \subset \mathbb{C} (the field of algebraic numbers), Fp\overline{\mathbb{F}_p} (algebraic closure of the finite field).

Quick Reference: Degree Computations

ExtensionDegree
Q(2)/Q\mathbb{Q}(\sqrt{2})/\mathbb{Q}2
Q(23)/Q\mathbb{Q}(\sqrt[3]{2})/\mathbb{Q}3
Q(2,3)/Q\mathbb{Q}(\sqrt{2}, \sqrt{3})/\mathbb{Q}4 (tower: 2 then 2)
Q(ζn)/Q\mathbb{Q}(\zeta_n)/\mathbb{Q}, ζn=e2πi/n\zeta_n = e^{2\pi i/n}ϕ(n)\phi(n)

Question Archetypes

ArchetypeRecognition
tower-law-computationGiven a chain of extensions, compute [E:F][E:F] by factoring through an intermediate field
minimal-poly-and-degreeFind the minimal polynomial of a specific algebraic number; deduce the degree
algebraic-closure-propertyProve a property of algebraic elements or an algebraic extension

tower-law-computation (1 question; 2016)

Recognition Cues

Solution Template

  1. Identify the tower: write out FKEF \subseteq K \subseteq E explicitly.
  2. Compute [K:F][K:F] and [E:K][E:K] (often by finding minimal polynomials).
  3. Apply: [E:F]=[K:F][E:K][E:F] = [K:F] \cdot [E:K].
  4. If proving divisibility or impossibility, use that [K:F][K:F] divides [E:F][E:F].

Worked Example

2016 Paper 2, 2016-P2-Q6a (15 marks)

Let α=2+3\alpha = \sqrt{2} + \sqrt{3}. Find [Q(α):Q][\mathbb{Q}(\alpha) : \mathbb{Q}] and determine the minimal polynomial of α\alpha over Q\mathbb{Q}.

Solution.

Step 1: Find the minimal polynomial.

Let α=2+3\alpha = \sqrt{2} + \sqrt{3}. Compute: α2=2+26+3=5+26.\alpha^2 = 2 + 2\sqrt{6} + 3 = 5 + 2\sqrt{6}. α25=26.\alpha^2 - 5 = 2\sqrt{6}. (α25)2=24.(\alpha^2 - 5)^2 = 24. α410α2+25=24.\alpha^4 - 10\alpha^2 + 25 = 24. α410α2+1=0.\alpha^4 - 10\alpha^2 + 1 = 0.

So α\alpha is a root of p(x)=x410x2+1Q[x]p(x) = x^4 - 10x^2 + 1 \in \mathbb{Q}[x].

Step 2: Verify pp is irreducible over Q\mathbb{Q}.

By the rational root theorem, the only possible rational roots are ±1\pm 1. Check: p(1)=110+1=80p(1) = 1 - 10 + 1 = -8 \ne 0 and p(1)=80p(-1) = -8 \ne 0. So pp has no rational roots, hence no linear factors over Q\mathbb{Q}.

Check for quadratic factors over Q\mathbb{Q}: if p(x)=(x2+ax+b)(x2ax+c)p(x) = (x^2 + ax + b)(x^2 - ax + c) (note the sign pattern forces the x3x^3 coefficient to be zero), then expanding: p(x)=x4+(c+ba2)x2+a(cb)x+bc.p(x) = x^4 + (c + b - a^2)x^2 + a(c-b)x + bc. Matching coefficients:

From a(cb)=0a(c-b) = 0: either a=0a = 0 or c=bc = b.

In all cases, no factorization into quadratics over Q\mathbb{Q} exists. Hence p(x)p(x) is irreducible over Q\mathbb{Q}.

Step 3: Conclude.

Since p(x)p(x) is monic, irreducible over Q\mathbb{Q}, and p(α)=0p(\alpha) = 0, the minimal polynomial of α\alpha over Q\mathbb{Q} is mα(x)=x410x2+1.m_\alpha(x) = x^4 - 10x^2 + 1.

The degree of the extension is [Q(α):Q]=degmα=4.[\mathbb{Q}(\alpha) : \mathbb{Q}] = \deg m_\alpha = 4.

[Q(2+3):Q]=4,mα(x)=x410x2+1  \boxed{[\mathbb{Q}(\sqrt{2}+\sqrt{3}):\mathbb{Q}] = 4,\quad m_\alpha(x) = x^4 - 10x^2 + 1}\;\blacksquare

algebraic-closure-property (1 question; 2016)

Recognition Cues

Solution Template

  1. Use the tower law: [E:F]=[E:K][K:F][E:F] = [E:K][K:F], so [K:F][K:F] divides [E:F][E:F].
  2. For algebraic α,β\alpha, \beta: note [F(α,β):F]=[F(α,β):F(α)][F(α):F][F(\alpha, \beta) : F] = [F(\alpha,\beta):F(\alpha)] \cdot [F(\alpha):F]; each factor is finite (bounded by degrees of minimal polynomials), so the extension is finite, hence algebraic.

Worked Example

2016 Paper 2, 2016-P2-Q6b (20 marks)

Let K/FK/F be an algebraic extension and let E/KE/K be an algebraic extension. Prove that E/FE/F is an algebraic extension.

Solution.

We must show: for every αE\alpha \in E, α\alpha is algebraic over FF.

Step 1. Since E/KE/K is algebraic, there exists a non-zero polynomial p(x)=anxn++a1x+a0K[x]p(x) = a_n x^n + \cdots + a_1 x + a_0 \in K[x] with p(α)=0p(\alpha) = 0.

The coefficients of pp are a0,a1,,anKa_0, a_1, \ldots, a_n \in K.

Step 2. Since K/FK/F is algebraic, each aia_i is algebraic over FF. Consider the tower FF(a0)F(a0,a1)F(a0,a1,,an)=:L.F \subseteq F(a_0) \subseteq F(a_0, a_1) \subseteq \cdots \subseteq F(a_0, a_1, \ldots, a_n) =: L.

Each step adjoins an element algebraic over FF (and hence over any intermediate field), so each step has finite degree. Explicitly: [F(a0,,ak):F(a0,,ak1)][F(ak):F]=degmak<.[F(a_0, \ldots, a_k) : F(a_0, \ldots, a_{k-1})] \le [F(a_k) : F] = \deg m_{a_k} < \infty.

By the tower law applied iteratively, [L:F]=[F(a0):F][F(a0,a1):F(a0)][L:F(a0,,an1)]<.[L : F] = [F(a_0):F] \cdot [F(a_0,a_1):F(a_0)] \cdots [L:F(a_0,\ldots,a_{n-1})] < \infty.

Step 3. Now p(x)K[x]L[x]p(x) \in K[x] \subseteq L[x] and p(α)=0p(\alpha) = 0. So α\alpha is algebraic over LL, and [L(α):L]=degmα,Ldegp<.[L(\alpha) : L] = \deg m_{\alpha, L} \le \deg p < \infty.

By the tower law: [L(α):F]=[L(α):L][L:F]<.[L(\alpha) : F] = [L(\alpha) : L] \cdot [L : F] < \infty.

Step 4. Since [F(α):F][F(\alpha) : F] divides [L(α):F][L(\alpha) : F] (as FF(α)L(α)F \subseteq F(\alpha) \subseteq L(\alpha) by the tower law), we have [F(α):F]<[F(\alpha) : F] < \infty.

A finite extension is algebraic, so α\alpha is algebraic over FF.

Conclusion. Since αE\alpha \in E was arbitrary, E/FE/F is algebraic.

E/F is algebraic  \boxed{E/F \text{ is algebraic}}\;\blacksquare

Common Traps

Marks-Aware Writing

Section B, 15–20 marks per sub-part:

For the minimal polynomial / degree sub-part (15 marks):

For the tower/algebraic extension sub-part (20 marks):

Practice Set

Both historical questions on this atom are worked above (2016-P2-Q6a and 2016-P2-Q6b).

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