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Fields - Finite Fields

With groups, it’s easy for us to find finite ones that have the same order, but are not the same (up to isomorphism). The simplest example I can give is Z4 and Z2×Z2, which both have order 2, but they are not isomorphic. The former is a cyclic group, but the latter is not!

However, with fields, I hope to show in this post that fields are the exactly the same as each other (up to isomorphism) if they have the same finite order. This means when I tell you I have a field of order 4, I really mean the field of order 4–there is only one.

Splitting Fields

I do not want to spend too much time focusing on splitting fields, but I will mention some important takeaways that are useful for this proof.

Definition 1. A splitting field is a field such that for a polynomial f(x) over a field K, all roots are contained in the field.

For example, the splitting field for r(x)=x22 over Q is Q(2), since the roots of this function are ±2, meaning we must attach 2 to Q.

Theorem 2. Let f(x) be a polynomial over K. If the extensions fields F and E are both splitting fields over K, then they are isomorphic.

Proof. An entire chapter of the book. See these notes for a full proof.

Size of Finite Fields

Definition 3. The characteristic of a field F is the smallest positive number n such that 1n=0. If one does not exist, the characteric is 0. Denoted char(F).

All integral domains have characteristic 0 or p, where p is a prime. Since all fields are integral domains, we know that fields can only have characteristic 0 or p.

Theorem 4. All finite fields with characteristic p have order pn, where p is a prime number, and n is a positive integer.

Proof. First note that if a field F has characteristic p, then the homomorphism ϕ:ZF such that ϕ(n)=n1 has a kernel pZ. From the ring isomorphism theorem, we can say that the image of ϕ(Z), which we will call K, is isomorphic to Z/ker(ϕ)=Z/pZZp.

Now, since F is a vector space over K, and both F and K are finite, we let [F:K]=n. Every element fF has the unique form

f=a1v1+a2v2++anvn

for a basis vi and coefficients ai, with aiK. To count the number of possible elements we can form, simply use combinatorics. There are p choices for each ai, because there are p elements in K. So the number of possible elements is pn, for the n coefficients.

We call K the prime subfield of F. Note that 1K. This theorem gives us an idea about how some fields are structured.

Useful Theorems/Lemmas

Theorem 5. Let F be a finite field with pn elements. Then F is a splitting field for xpnx over its prime subfield K.

Corollary 6. Two finite fields are isomorphic if and only if they have the same number of elements.

Proof. Let F and E both have pn elements, and have prime subfields K and L. KLZp. Since the polynomial xpnx splits over F and E in K and L, F and E are both splitting fields, and by Theorem 2, they are isomorphic.

Lemma 7. Let F be a field with characteristic p, and let n be a positive integer.

{aFapna=0}

is a subfield of F.

Lemma 8. Let F be a field of characteristic p. If n is a positive integer not divisible by p, then xn1 has no repeated roots in any extension field of F.

The Main Theorem

Theorem 9. For prime p and positive integer n, there is a field with pn elements.

Proof. We want to create a field F with pn elements. So let F be the splitting field for f(x)=xpnx over Zp. Since

f(x)=xpnx=x(xpn11),

and p does not divide pn1, we know from Lemma 8 that there are no repeated roots in the polynomial. Lemma 7 tells us that all these roots form their own field. Therefore F is a field that contains all roots of f(x), of which there are pn unique ones.

Since any finite field of the same order is isomorphic, and we can create fields of any possible order pn, we can call these finite fields the field of order 9,27,100,729 etc. In fact, the field with pn elements is called the Galois field of order pn, denoted GF(pn).

The main point in all of this is that we have a fairly good understanding of how fields can behave when they are finite–something that we can’t say for even finite groups (see Monster group). This makes finite fields a good candidate for studying cryptography, where encryption needs to be hard to crack, but easy to implement.

This post is licensed under CC BY 4.0 by the author.

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