A number field can be defined as a field extension obtained by adjoining an abstract element to the field of rationals, where satisfies the relation for some irreducible polynomial which is monic without loss of generality. The polynomial is called the minimal polynomial of and the degree of the number field is the degree of .
Because the number field can be seen as an -dimensional vector space over with basis this is called the power basis of . Of course, associating with indeterminate yields a natural isomorphism between and .
Let be a positive integer, and let denote an element of multiplicative order i.e., a primitive th root of unity. The th cyclotomic number field is and the minimal polynomial of is the th cyclotomic polynomial
where is any primitive th complex root of unity, e.g., Observe that the complex roots of are exactly the primitive th roots of unity in and that has degree the totient of
Here we describe the embeddings of a number field, which induce a natural 'canonical' geometry on it.
A number field of degree has exactly ring embeddings (injective ring homomorphisms) Concretely, these embeddings map to each of the complex roots of its minimal polynomial ; it is easy to see that these are the only ring embeddings from to because An embedding whose image lies in (corresponding to a real root of ) is called a real embedding; otherwise (for a complex root of ) it is called a complex embedding. Because complex roots of come in conjugate pairs, so too do the complex embeddings. The number of real embeddings is denoted and the number of pairs of complex embeddings is denoted so we have By convention, we let be the real embeddings, and we order the complex embeddings so that for The canonicalembedding is then defined as
By identifying elements of with their canonical embeddings in we can speak of geometric norms (e.g., the Euclidean norm) on . Recalling that we define norms on as those induced from , we see that for any and any , the norm of is simply for and is for (As always, we assume the norm when is omitted.) Because multiplication of embedded elements is component-wise (since is a ring homomorphism), we have
for any and any Thus the norm acts as an 'absolute value' for that bounds how much an element 'expands' any other by multiplication.
Using the canonical embedding also allows us to think of the Gaussian distribution for over or its discrete analogue over a lattice in as a distribution over Strictly speaking, the distribution is not over but rather over the field tensor product which is isomorphic to Since multiplication of elements in is mapped to coordinate-wise multiplication in we have that for any element the distribution of is where (This uses the fact that our distributions have the same variance in the real and imaginary components of each complex embedding.)