Simple Extensions and F(alpha)
Suppose you adjoin a single new element to a field . This forms the smallest field containing both and . What does this new field actually look like? How big is it? This question is the seed of all of Field & Galois Theory. Every splitting field, every finite field, every constructible number arises this way. Each is built by repeatedly performing exactly this one operation. Understanding completely, in a single clean theorem, is what makes the entire theory tractable. The answer turns out to be remarkably concrete. Suppose is a root of some nonzero polynomial over . Then is not some mysterious infinite object built from limits of rational expressions. It is literally a quotient ring, , where is The Minimal Polynomial of over . As an -vector space, has a basis given by the powers . Its dimension over — its degree , in the sense of The Degree of a Field Extension — equals exactly . This single fact is the computational engine of the whole subject. It converts questions about abstract field elements into questions about polynomial arithmetic modulo . It also converts questions about the "size" of an extension into questions about the degree of a polynomial. That degree can often be computed by hand (Eisenstein's criterion, rational root tests, and so on). Every later theorem is built by iterating this one construction. This includes the multiplicativity of degrees in towers, the existence and structure of splitting fields, and the classification of finite fields. This article gives the complete, self-contained proof that . It also proves that , together with an explicit vector space basis. We work out two genuinely different examples — one algebraic number field and one finite field — to show the machinery in action. We also exhibit exactly what fails when is not algebraic over .
- For algebraic over with minimal polynomial of degree , the simple extension is isomorphic as a ring (and -algebra) to .
- The isomorphism sends the coset to , and it fixes pointwise.
- Consequently is itself a field, even though was adjoined with no field-ness assumed in advance.
- The set is an -basis of , so .
- Every element of is uniquely an -linear combination of these powers — arithmetic reduces to polynomial arithmetic mod .
- Key idea: adjoining a root of an irreducible polynomial is the same construction as building the quotient ring , and irreducibility of is exactly what makes that quotient a field.
Where this lives today
The construction is the single most-used computational device in Field & Galois Theory and far beyond it. In algebraic number theory, number fields like or (cyclotomic fields) are defined and computed with exactly this representation, and computer algebra systems (PARI/GP, Magma, Sage) store algebraic numbers internally as polynomials modulo a minimal polynomial. In coding theory and cryptography, finite fields for irreducible of degree are the arithmetic backbone of Reed–Solomon codes, AES (built over ), and elliptic-curve cryptography over binary fields. In computer algebra and symbolic computation, algebraic numbers are manipulated as polynomial residues, with exact arithmetic performed by polynomial division — precisely the reduction step used in the worked examples above. In Galois theory itself, the theorem is the base case for the Tower Law (which shows how degrees multiply when you adjoin several elements in stages) and for the construction of Splitting Fields (which are built by repeatedly adjoining one root at a time, exactly as in Worked Example 2, until a polynomial factors completely into linear factors).
:::quiz[Why is a field rather than merely a ring, when is the minimal polynomial of ?]
- Because is always a field
- Because is monic
- Because is irreducible, making a maximal ideal ✓
- Because is transcendental
:::faq[Why must be algebraic for to hold with a nonzero polynomial?] The isomorphism comes from the First Isomorphism Theorem applied to the evaluation map , . The theorem always says , but this is only useful when is a nonzero ideal, which happens exactly when some nonzero polynomial vanishes at — the definition of algebraic. If is transcendental, , so the "quotient" is really just itself, with no finite-degree structure and no minimal polynomial to speak of.
:::faq[Is always equal to ?] Only when is algebraic over . In that case, the theorem shows the ring is already a field (because is maximal), so it must equal the smallest field containing and , which is . When is transcendental, is only an integral domain (isomorphic to the polynomial ring ), and is strictly larger, isomorphic to the field of rational functions , obtained by formally adjoining inverses of nonzero elements of .
:::faq[Does the isomorphism depend on which root of we pick, if has several roots in some bigger field?] The abstract isomorphism class does not depend on the choice: for any root of an irreducible , , so all such are isomorphic to each other via isomorphisms fixing . However, as subsets of a fixed ambient field , different roots of typically give different (though isomorphic) subfields and of . This subtlety — same abstract field, different embeddings — is exactly the phenomenon that Galois theory studies via automorphisms permuting roots.
:::faq[Is it possible for to fail to be a field even when is the minimal polynomial of some element?] No — if genuinely is the minimal polynomial of an algebraic element over , then is automatically irreducible (proved in Step 4 of the proof, by a contradiction argument using that has no zero divisors), so is automatically a field. The only way to get a non-field quotient is to quotient by a reducible nonzero polynomial , but such an can never arise as the minimal polynomial of an actual field element, precisely because minimal polynomials are irreducible by construction.
Ask the tutor: Can you show me step-by-step how to find the minimal polynomial and degree of over ?
Let be a field and let be an extension field of (i.e. is a subfield). For , define
the intersection of all subfields of containing both and . This is the smallest subfield of containing and , and is called a simple extension of when for some single element . An element is algebraic over if there exists a nonzero polynomial with ; otherwise is transcendental over . When is algebraic over , its minimal polynomial is the monic generator of the ideal
which is nonzero and hence principal since is a PID; is the unique monic polynomial of least degree vanishing at , and it is irreducible over . We also write for the subring of generated by and (evaluations of polynomials, not yet assumed to be a field).
Intuition
Think of as the world of formal polynomial expressions in a symbol , and think of evaluation at as a machine that takes a formal expression and produces an actual number (or field element) . The evaluation map , , is a ring homomorphism. Its kernel records exactly the "coincidences" — the polynomial relations that happens to satisfy. If is algebraic, this kernel is nonzero, generated by the minimal polynomial ; the First Isomorphism Theorem then says the image of , which is precisely , is isomorphic to . The subtlety — and the whole point of irreducibility — is that a generic quotient is only a ring, with zero divisors if factors. It becomes a field exactly when is irreducible, because then is a maximal ideal in the PID . So the fact that is irreducible (forced by minimality: any factorization would produce a smaller-degree polynomial vanishing at ) is precisely the mechanism that upgrades the ring into the field . This is why whenever is algebraic: no further field operations (inverses) need to be adjoined, they are already present. Geometrically, picture as a vector space stacked in layers over : the layers are , and the relation tells you exactly how to collapse and all higher powers back down into this finite list of layers.
Let be a field, an extension field of , and let be algebraic over with minimal polynomial of degree . Then: 1. There is an isomorphism of rings
sending the coset to and restricting to the identity on the image of . In particular : the ring generated by is already a field. 2. The set is a basis of as a vector space over ; that is, every element of is uniquely expressible as with . 3. Consequently
We proceed in five steps, using standard tools: the evaluation homomorphism, the First Isomorphism Theorem, the ideal structure of the PID , and a direct linear-algebra argument for the basis claim.
Step 1: The evaluation homomorphism and its kernel. Define by . This is a ring homomorphism: it clearly respects addition, and for products,
since evaluation of a product of polynomials at a point equals the product of the evaluations (an immediate consequence of the distributive law applied term by term in , which is commutative). Also . The kernel is
which is an ideal of (kernels of ring homomorphisms are always ideals). Since is algebraic over , this ideal is nonzero. Because is a field, is a Euclidean domain (via the division algorithm with the usual degree function), hence a PID, so every ideal is principal; thus for a monic polynomial of minimal degree among nonzero elements of the ideal. This is by definition The Minimal Polynomial of over (its existence and uniqueness as the monic generator of is exactly the content of that prerequisite result, which we invoke here rather than re-derive).
Step 2: The image of is . By definition, , the subring of generated by (it is a subring because it is the image of a ring homomorphism, hence closed under , contains ).
Step 3: First Isomorphism Theorem gives . By the First Isomorphism Theorem for rings, induces an isomorphism
i.e. as rings. Under , the coset of the constant polynomial maps to (so restricts to the identity on the copy of inside the quotient), and the coset of maps to .
Step 4: is a field, hence so is , hence . We claim is irreducible over . Suppose with . Since and is a field (in particular an integral domain), forces or . Either way we get a nonzero polynomial of degree strictly less than vanishing at , contradicting minimality of in . Hence is irreducible. Since is a PID and is irreducible, the ideal is a maximal ideal of . Indeed, if for an ideal , write (principal, as is a PID); then , and since is irreducible, either is a unit (so ) or is an associate of (so ), contradicting strict containment. Hence is maximal. In a commutative ring with , an ideal is maximal if and only if is a field: this is a standard general fact — is a field exactly when its only ideals are and , which by the correspondence theorem for ideals corresponds exactly to being maximal in . Applying this with , , we conclude is a field. Since is a ring isomorphism, is therefore a field. Now is a subfield of containing and , so by minimality of (the intersection of all such subfields) we get . On the other hand trivially, since is a field containing and and hence contains every polynomial expression . Therefore
and composing with this equality gives the isomorphism claimed in part (1).
Step 5: The basis claim. Write . We show is an -basis of , working directly with via (equivalent to working in , since is an -linear ring isomorphism). Spanning. Let be arbitrary; write for some . By the division algorithm in (valid since is a field, so has a well-defined nonzero leading coefficient we can divide by), there exist with
Evaluating at and using :
Writing (allowing zero coefficients if ), we get , a linear combination of with coefficients in . Hence spans over . Linear independence. Suppose satisfy . Let ; then , so . If then , yet being a nonzero multiple of would force (degrees add under multiplication in the domain , and ) — a contradiction. Hence , i.e. . So is linearly independent over . Since both spans and is linearly independent over , it is a basis, and it has exactly elements. By the definition of degree of a field extension recalled from The Degree of a Field Extension (the dimension of the larger field as a vector space over the smaller), we conclude
This completes the proof of all three parts.
∎Worked examples
Example 1: an algebraic number field, inside . Let , and let , a real root of . We claim is the minimal polynomial of over . First, is irreducible over by Eisenstein's criterion at the prime : the leading coefficient is not divisible by , the coefficients of are all divisible by , and is not divisible by . So is irreducible over (equivalently over , by Gauss's Lemma, since is monic). Since and is monic irreducible, is exactly the minimal polynomial of over . By the theorem, , so
with basis , and
Let's verify the arithmetic really does reduce mod , as the theorem promises. Compute (its existence as an element of this explicit form is itself a non-obvious fact the theorem guarantees). We want with , i.e.
Since , this is . Matching coefficients against the basis (using linear independence, part 2 of the theorem, to justify that matching coefficients is legitimate): , , . So , and
Check: . Correct — and this inverse was produced entirely by polynomial reduction mod , exactly as the isomorphism predicts, with no appeal to any a priori field structure beyond that guaranteed by the theorem.
Example 2: a finite field, from an irreducible cubic. Let , and let . We check irreducibility: a cubic over a field is irreducible iff it has no root in that field (any factorization of a cubic must have a linear factor). Testing: , and (arithmetic mod 2). So has no roots in , hence is irreducible over . Let be a root of in some extension field (its existence, which we take as given here, is the subject of the Splitting Fields construction — precisely one of the things this theorem foreshadows). By the theorem, is the minimal polynomial of (it's already monic irreducible and vanishes at ), , and
with basis over , so and . Let's compute a nontrivial product using only the relation (from , rearranged; note in ). Take and , both nonzero elements of . Then
Now reduce using :
So : the element is the multiplicative inverse of in this 8-element field, computed purely by polynomial reduction mod — again exactly the content of the theorem, now in the finite-field setting that underlies coding theory and cryptography.
The theorem requires to be algebraic over ; this hypothesis cannot be dropped. Let and let , which is transcendental over (a classical theorem of Lindemann, taken here as a known fact). Consider the evaluation homomorphism , . By definition of transcendence, implies ; so , the zero ideal — there is no nonzero minimal polynomial to speak of. Consequently is injective, and the First Isomorphism Theorem gives
Two things now fail compared to the algebraic case: 1. is not a field. The zero ideal in is not maximal (e.g. ), so the quotient is only an integral domain, not a field — indeed contains but not as a polynomial expression in with rational coefficients (any such expression is a genuine polynomial, and is not one, since is transcendental and are -linearly independent — a polynomial identity would exhibit a nontrivial polynomial relation for ). Hence : to reach the actual field one must further adjoin inverses, producing the field of rational functions
genuinely different from a mere quotient of by a nonzero ideal. 2. There is no finite basis. The set is linearly independent over for every finite truncation (that is exactly what transcendence means), so no finite list spans ; indeed
So without algebraicity, both conclusions of the theorem — " is already a field" and " is finite, equal to " — genuinely fail, not merely for lack of proof technique but because the underlying objects (a nonzero kernel, a finite-degree minimal polynomial) simply do not exist.
Scope, edge cases & common traps
| Situation | What happens |
|---|---|
| algebraic over , its minimal polynomial | , finite degree (this theorem) |
| transcendental over | (a domain, not a field); ; |
| reducible (hypothetically) | Would never actually happen for a true minimal polynomial — irreducibility is proved, not assumed, in Step 4 |
| already; , basis is just , degree | |
| Working inside a given ambient field | The theorem needs to live in some extension of where the arithmetic (, sums) makes sense; it doesn't construct itself |
| Two different roots of the same | Both give abstractly isomorphic fields , but not necessarily equal as subsets of a fixed |
The mathematician behind it
Origins · 1 minÉvariste Galois and how this was discovered
Galois did not phrase his ideas in the language of "fields," "minimal polynomials," or vector-space dimensions used here — that precise algebraic vocabulary was assembled over the following century by Dedekind, Kronecker, Weber, Steinitz, and Artin. But the underlying insight, that adjoining a root of an irreducible polynomial produces a structure whose internal symmetries govern the solvability of the original equation, originates with Galois's work on permutations of roots of polynomial equations, written down as a young man shortly before his death in a duel at age 20. The structure theorem for is the algebraic bedrock beneath his entire theory: without knowing exactly what field you get by adjoining one root, you cannot iterate the construction to build a full splitting field, nor can you speak precisely about the group of symmetries permuting the roots.
How do I actually compute in once I know the minimal polynomial?
Represent every element as a polynomial in the basis given by the theorem. To multiply two such elements, multiply them as polynomials in , then reduce any power with using the relation (rearranged to express , and hence all higher powers by repeated substitution, in terms of lower powers). This is precisely polynomial long division modulo , which is how Example 1 (finding ) and Example 2 (finding in ) were carried out.
What if has degree 1?
Then for some (monic, degree 1, so it must already have its root in ), meaning . In this degenerate case , the basis given by the theorem is just , and . This is consistent with the general philosophy: adjoining an element already in changes nothing.
How does this theorem connect to the Tower Law and splitting fields?
Splitting fields are built by repeatedly performing exactly the construction in this theorem: adjoin one root of an irreducible factor to get , then adjoin a root of a factor of the remaining polynomial (now viewed over ) to get , and so on. The Tower Law then says the total degree of the resulting extension is the product of the degrees at each simple step, each of which is computed exactly as in this theorem via the degree of the relevant minimal polynomial at that stage.