Math 2.0

Field theory and polynomials Proof

Proof that finite extensions are algebraic

Builds on Finite extensionAlgebraic extensionAlgebraic elementDegree of a field extensionLinear independenceEvery linearly independent set extends to a basisDimension theorem for vector spacesDimension

Proof

  1. Let L/KL/K be a finite extension, with degree n=[L:K]n = [L : K]. Let a∈La \in L. We find a nonzero f∈K[x]f \in K[x] with f(a)=0f(a) = 0.
  2. Case 1: ai=aja^i = a^j for some 0≤i<j≤n0 \le i < j \le n. Then f=xj−xif = x^j - x^i is nonzero and f(a)=0f(a) = 0.
  3. Case 2: the elements 1,a,a2,…,an1, a, a^2, \dots, a^n are pairwise distinct. They form a set SS of n+1n + 1 elements of LL.
  4. Suppose that SS were linearly independent over KK. By extension to a basis, SS lies in a basis of LL over KK with at least n+1n + 1 elements.
  5. By the dimension theorem, every basis of LL over KK has [L:K]=n[L : K] = n elements, by the definition of dimension. This contradicts Step 4.
  6. So there are c0,…,cn∈Kc_0, \dots, c_n \in K, not all zero, with c0+c1a+⋯+cnan=0c_0 + c_1 a + \dots + c_n a^n = 0.
  7. Then f=c0+c1x+⋯+cnxnf = c_0 + c_1 x + \dots + c_n x^n is a nonzero polynomial in K[x]K[x] with f(a)=0f(a) = 0.
  8. In both cases aa is algebraic over KK. Since a∈La \in L was arbitrary, L/KL/K is algebraic.

Idea

In a vector space of dimension nn, any n+1n + 1 vectors are linearly dependent. Applied to the powers 1,a,…,an1, a, \dots, a^n, a linear dependence is exactly a nonzero polynomial with root aa.

Reading path

To understand this page from the ground up, read these 58 pages in order. The foundations come first. The path takes the proofs Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma.

  1. Element definition
  2. Group concept
  3. Proof of Zorn's lemma proof
  4. Proposition concept
  5. Vector space definition
  6. Set definition
  7. Ring definition
  8. Disjunction definition
  9. Implication definition
  10. Predicate definition
  11. Linear combination definition
  12. Linear subspace definition
  13. Family of sets definition
  14. Ordered pair definition
  15. Union definition
  16. Commutative ring definition
  17. Polynomial ring definition
  18. Subring definition
  19. Unit of a ring definition
  20. Existential quantifier definition
  21. Universal quantifier definition
  22. Linear independence definition
  23. Linear span definition
  24. Cartesian product definition
  25. Subset definition
  26. Union of a family of sets definition
  27. Polynomial evaluation definition
  28. Field definition
  29. Uniqueness quantifier definition
  30. Spanning set definition
  31. Binary relation definition
  32. Root of a polynomial definition
  33. Subfield definition
  34. Finite-dimensional vector space definition
  35. Basis definition
  36. Antisymmetric relation definition
  37. Reflexive relation definition
  38. Transitive relation definition
  39. Function definition
  40. Field extension definition
  41. Dimension definition
  42. Dimension theorem for vector spaces statement
  43. Preorder definition
  44. Choice function definition
  45. Algebraic element definition
  46. Degree of a field extension definition
  47. Partial order definition
  48. Axiom of choice statement
  49. Algebraic extension definition
  50. Finite extension definition
  51. Maximal element definition
  52. Total order definition
  53. Upper bound definition
  54. Chain definition
  55. Zorn's lemma statement
  56. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  57. Every linearly independent set extends to a basis statement
  58. Proof that finite extensions are algebraic proof

Where this leads

29 pages build on this one.

Further reading

  1. Web https://www.jmilne.org/math/CourseNotes/FT.pdf, Proposition 1.30
About this page
Tag9FRPYV4CQX
URIm2://9FRPYV4CQX
Kindproof
WritingW0 stub
MSC12F05
ProvesFinite extensions are algebraic
UsesFinite extension, Algebraic extension, Algebraic element, Degree of a field extension, Linear independence, Every linearly independent set extends to a basis, Dimension theorem for vector spaces, Dimension
MethodsProof by cases
Changed4 November 2026

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