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Lesson 2

Norm and Trace in Number Fields

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In our last lesson, we established the fundamental setting for our explorations: number fields and their rings of integers. We saw that a number field can be viewed as a finite-dimensional vector space over the rational numbers . This lesson builds directly on that idea by introducing two essential functions, the norm and the trace, which map elements from the number field back down to the base field .

These maps are defined using the linear algebra structure of , and they provide a powerful tool for turning problems about algebraic numbers into questions about rational numbers. We will explore three equivalent ways to understand and compute the norm and trace: through linear transformations, via the coefficients of polynomials, and by using the field embeddings into the complex numbers. Mastering these will be crucial as we move forward to study the arithmetic structure of the ring of integers.

A Linear Algebra Perspective

Since a number field of degree is an -dimensional -vector space, any element gives rise to a -linear map. This map, often denoted , is simply multiplication by :

Because this is a linear transformation on a finite-dimensional vector space, it can be represented by an matrix once we choose a basis for over . The trace and determinant of this matrix are invariants of the linear transformation itself and do not depend on the choice of basis. This gives us our first definition.

The following video provides a concise introduction to this concept.

Galois theory: Norm and trace

This video by Richard E Borcherds introduces the norm and trace from the perspective of linear algebra. It clearly defines them as the determinant and trace of the multiplication map and works through the fundamental example of the extension \mathbb{C}/\mathbb{R}.

Please watch the first two short segments. The first defines the norm and trace in terms of the multiplication-by-\alpha linear transformation. The second works through the example of \mathbb{C} as an extension of \mathbb{R}, which is a nice parallel to our focus on extensions of \mathbb{Q}.

With this, we can state the formal definition:

Definition: Let be a number field and . The trace of , denoted , is the trace of the matrix of the linear map . The norm of , denoted , is the determinant of the matrix of .

To make this concrete, let's work through the calculations. The following reading from Keith Conrad's notes provides detailed examples.

[PDF] TRACE AND NORM 1. Introduction Let L/K be a finite extension of ...

These notes give a thorough, example-driven introduction to computing the norm and trace via their linear algebra definition.

Please read Section 2, "Basic Definitions." Start by reading the introductory paragraph that defines the multiplication map m_\alpha. Work through Example 2.3 for the quadratic field \mathbb{Q}(\sqrt{2}). This is the simplest non-trivial case and the calculation is fundamental. Next, examine Example 2.4 for the cubic field \mathbb{Q}(\sqrt[3]{2}). This shows how the process scales to higher degrees. Don't worry about memorizing the final matrix, but focus on the process of building its columns. Finally, read the formal Definition 2.8 and the explicit formulas for the trace and norm derived from these examples.

As you saw in the reading, for and , the matrix of with respect to the basis is

From this, we immediately get:

An important fact, which we will use frequently, is that if is an algebraic integer in , then its norm and trace are always rational integers ( and ).


Properties and Alternative Formulations

The linear algebra definition directly implies two fundamental properties, which follow from the identities and .

  • The trace is -linear:
    • for any
  • The norm is multiplicative:

These properties are extremely useful, but calculating the full matrix for can be tedious for high-degree fields. Fortunately, there are more direct connections to polynomials and field embeddings.

Connection to Polynomials

The norm and trace of an element are encoded in its characteristic polynomial, . Specifically,

This characteristic polynomial is, in turn, directly related to the minimal polynomial of over , which you know from basic field theory. The relationship is simple and powerful: if is the minimal polynomial of and has degree , then

The following reading explains this relationship and derives formulas for the norm and trace directly from the coefficients of the minimal polynomial.

[PDF] TRACE AND NORM 1. Introduction Let L/K be a finite extension of ...

This section connects the abstract definition of norm and trace to the more concrete minimal and characteristic polynomials of an element.

Please read Section 5 of the notes, "The Trace and Norm in terms of Roots." Focus on the definition of the characteristic polynomial and how the trace and norm appear as its coefficients. Read Theorem 5.9, which states the crucial relationship between the characteristic polynomial and the minimal polynomial. The proof is illuminating as it involves constructing a block diagonal matrix. Finally, read Corollary 5.10, which gives the explicit formulas for trace and norm based on the coefficients of the minimal polynomial.

Connection to Embeddings

Perhaps the most elegant and often most practical way to compute the norm and trace is via the embeddings of the number field into the complex numbers. For a number field of degree , there are exactly distinct embeddings . The collection of these embeddings reveals the "conjugates" of any element in .

Definition: For , its norm and trace are the product and sum of its images under all embeddings of into :

Let's see why this elegant formulation works.

[PDF] Algebraic Number Theory

This section from Martin Orr's notes provides a concise proof for the formulas relating norm and trace to the sum and product of an element's conjugates.

In Section 7 of the notes, please read the part on "Conjugates." Begin with the definition of conjugates as the roots of the minimal polynomial. Read Lemma 18 and its proof for the case where K = \mathbb{Q}(\alpha). This connects the embeddings to the roots of the minimal polynomial, which are the eigenvalues of the multiplication map m_\alpha. Skim the second part of the proof for the general case; it shows how the argument extends when K is larger than \mathbb{Q}(\alpha) by repeating each conjugate [K:\mathbb{Q}(\alpha)] times.

Let's revisit our quadratic field example, , where is a square-free integer. The two embeddings are the identity map, , and the conjugation map, .
Using the embedding formulas:

This matches our linear algebra calculation perfectly but was significantly faster. This formulation is often the most direct path to computation.


Computation in PARI/GP

Now, let's use PARI/GP to verify these calculations. The relevant commands are nfelttrace and nfeltnorm. They take a number field structure (from nfinit) and a field element as arguments.

Let's test this on a cubic field, say where . We will compute the norm and trace of the element .
From Conrad's Example 3.3, we find the matrix for is:

From this matrix, we can see:

Now, let's verify this in PARI/GP.

  1. Initialize the field: K = nfinit(x^3 - x - 1);
  2. Define the element: beta = x^2;
  3. Compute the trace: nfelttrace(K, beta)
  4. Compute the norm: nfeltnorm(K, beta)

You should see 2 and 1 as the outputs, respectively. Feel free to try another element, like gamma + 2, and compute its trace and norm by hand using linearity, then check your result in PARI/GP.
. From the minimal polynomial , . The trace of a rational number is , so . Thus, .


Conclusion

In this lesson, we have defined and learned to compute the norm and trace of elements in a number field. We've explored three interconnected perspectives:

  1. Linear Algebra: The trace and determinant of the multiplication-by- map.
  2. Polynomials: The coefficients of the characteristic polynomial, which is a power of the minimal polynomial.
  3. Embeddings: The sum and product of the Galois conjugates of an element.

These tools are indispensable for investigating the arithmetic of number fields. The norm, in particular, will be a constant companion as we begin to study ideals. It allows us to measure the "size" of an algebraic integer, reducing questions about divisibility in to questions about divisibility in .

In our next lesson, we will use the trace to define another fundamental invariant of a number field: the discriminant. The discriminant is a single number that packs a surprising amount of information about the ring of integers , including a first glimpse into how prime numbers from behave when they are considered in this larger ring.