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GuidePublished 7 Aug 2026Updated 13 Aug 20267 min readBy Kevin Jogindiscriminantintegral basisindextrace form
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Number Fields and Algebraic Numbers

Discriminants and Integral Bases

The discriminant of a basis, the field discriminant, and the index-squared relation that governs maximal order computation.

Engineering / MathematicsNumber Fields and Algebraic Numbers8 min readKV-MATH-0579

The discriminant is the central invariant of a number field. It measures ramification, bounds the class number, and — through the index-squared relation — determines what work is required to find the maximal order.

Discriminant of a basis

disc(w_1, ..., w_n) = det( Tr(w_i w_j) )The determinant of the trace form matrix.

Equivalently, it is the square of the determinant of the matrix of conjugates. Both formulations are computable; the trace form is exact and preferred.

The index-squared relation

Changing basis by an integer matrix multiplies the discriminant by the square of the determinant. For an order inside the maximal order, that determinant is the index.

disc(order) = index^2 * disc(field)The governing identity of maximal order computation.

Key point

This single relation drives everything. The polynomial discriminant is computable directly; the field discriminant is what is wanted; the gap between them is a perfect square. Any prime whose square does not divide the polynomial discriminant cannot divide the index, so the order is already maximal at that prime.

The procedure

Computing the field discriminant and an integral basis

  1. Compute the polynomial discriminantBy resultant with the derivative.
  2. Factor itOr at least find its square factors. This is often the expensive step.
  3. Test each square factorFor each prime whose square divides the discriminant, test whether the order is maximal at that prime — see the Dedekind criterion.
  4. EnlargeWhere it is not, enlarge the order — see Round 2.
  5. Divide outThe field discriminant is the polynomial discriminant divided by the index squared.

The factoring obstacle

Caution

Determining the maximal order in general requires knowing the square factors of the polynomial discriminant, which requires factoring it. For a badly chosen defining polynomial that number can be enormous, and the maximal order computation then reduces to an integer factorisation problem.

Key point

This is the practical argument for polynomial reduction before any serious work. A reduced polynomial has a smaller discriminant, which is easier to factor, which makes everything downstream possible.

Partial results

If the discriminant cannot be factored completely, an order maximal at all known primes can still be computed, with the unfactored part flagged. Results depending only on those primes remain valid; results requiring full maximality do not.

Ramification

A prime ramifies in the field exactly when it divides the field discriminant. The discriminant therefore encodes the complete ramification data — see decomposition and ramification.

Bounds

The discriminant bounds the class number and the regulator through the Minkowski bound and the analytic class number formula, which is why it appears in the complexity of class group computation. See Minkowski and Bach bounds.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 4.4.1. Structural reference unverified: the source file was not available during authoring; chapter and section numbers are taken from the published edition and have not been checked against a physical copy.

Related pages

  • Determinant Computation Strategies
  • Resultants and Discriminants
  • Orders in Number Fields
  • Quadratic Field Discriminants and Integral Bases
  • The Maximal Order Problem

Handbook application: from concept to controlled practice

Purpose. This expanded section turns the original page into a practical handbook. It preserves the supplied material and adds a repeatable way to apply, check and review Discriminants and Integral Bases. It does not replace a contract, legislation, a controlled standard, competent engineering judgement or specialist advice.

The operating aim is to turn a compact mathematical statement into a usable chain of definitions, claims, examples and checks. Read the original explanation first, then use the workflow and checks below to convert knowledge into evidence.

Treat Discriminants and Integral Bases as a network of definitions and implications, not as a list of formulas. The working vocabulary on this page—discriminant, basis, integral, index-squared, relation—should be made explicit before any proof or computation begins. Record the ambient set or structure, the permitted operations and the equality or equivalence relation in use. A compact theorem often changes meaning when the base field, finiteness condition, commutativity assumption or direction of an action changes.

For a proof, write the hypotheses as a checklist and mark the line at which each one is used. For a computation, state the representation of the input, the arithmetic model, the termination condition and the output invariant. For a classification problem, distinguish existence from uniqueness and distinguish an object from its representation. These separations prevent a correct local calculation from being mistaken for the general result.

A useful worked example should be small enough to inspect completely but rich enough to exercise the main mechanism. Compute the result in two ways where practical: symbolically and by substitution, structurally and numerically, or directly and through a normal form. Then include one near-miss example in which a hypothesis fails. The contrast explains why the theorem is shaped as it is and gives the reader a diagnostic pattern for later problems.

Verification is part of the mathematics. Check domains and codomains, substitute proposed solutions, test identity and zero cases, compare dimensions or cardinalities, and confirm that maps respect the required operations. In numerical work, report precision, conditioning and a residual rather than digits alone. In algorithmic work, separate mathematical correctness from implementation complexity and resource limits.

Step-by-step operating method

  1. Fix the setting. State the objects, ambient structure, notation and assumptions before manipulating symbols.
  2. Separate claims. Distinguish definitions, hypotheses, conclusions, equivalent conditions and consequences.
  3. Choose a method. Select proof, construction, calculation or algorithm according to the question actually asked.
  4. Work a small case. Use the smallest non-trivial example to expose the mechanism and test edge behaviour.
  5. Verify independently. Substitute back, check invariants, test boundary cases or use an alternative derivation.

Worked-example protocol

Illustrative method—not a source theorem. Start with a small admissible input and list the definitions it must satisfy. Carry out each transformation on a separate line, citing the property that permits it. Preserve exact values until approximation is necessary. At the end, verify the output against the original definition and one invariant such as dimension, degree, determinant, order, norm or residual. Then alter one hypothesis and observe which step ceases to be valid. This protocol creates a reusable example without inventing a theorem-specific numerical answer.

StageRecordQuality check
InputObjects, domain, notation, assumptionsEvery symbol is defined
MethodPermitted operation or cited result at each stepAll hypotheses hold
OutputExact result and representationCorrect type, domain and form
VerificationSubstitution, invariant or alternative derivationIndependent agreement
Boundary testZero, identity, degenerate or failed hypothesisScope is understood

Common failure modes and recovery actions

1. Watch for

Using a theorem without checking every hypothesis.

Recovery: Return to the governing definition or requirement and restate the decision in one sentence.

2. Watch for

Treating a suggestive example as a proof of the general case.

Recovery: Separate evidence from assumption, assign an owner and set a date for validation.

3. Watch for

Changing notation or conventions part-way through an argument.

Recovery: Run a small counterexample, boundary test, pilot or independent check before proceeding.

4. Watch for

Hiding a division-by-zero, convergence, finiteness or commutativity assumption.

Recovery: Record the consequence, decision and rationale, then update the controlled baseline.

5. Watch for

Reporting a computed result without a residual, substitution or structural check.

Recovery: Escalate when the issue affects safety, compliance, acceptance, material value or an agreed tolerance.

Review checklist

  • Can every symbol be traced to a definition or prior result?
  • Which hypothesis does each major step use?
  • Does the method cover zero, identity, degenerate and boundary cases?
  • Can the conclusion be checked by a second representation or calculation?
  • Are mandatory requirements distinguished from recommendations and illustrative values?
  • Are sources, assumptions, units, dates and versions recorded closely enough to reproduce the decision?
  • Have safety, legal, ethical, stakeholder and operational consequences been considered at the appropriate level?
  • Is there a named owner and a trigger for review, escalation, change or retirement?

Questions for deeper application

What is the most important distinction a practitioner must preserve when applying Discriminants and Integral Bases?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Which assumption about discriminant would change the result most if it proved false?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

What evidence would allow an independent reviewer to reproduce or challenge the conclusion?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Which boundary, exception or failure case has not yet been tested?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

What must be handed over, monitored or reviewed after the immediate work is complete?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Authoritative references and use notes

The sources below were selected as institutional or primary guidance for the broader practice. They support the handbook method; they do not imply that every statement or clause in a source applies to every project. Confirm the current edition, jurisdiction, contract and application before treating any requirement as mandatory.

  • MIT OpenCourseWare — Number Theory I — Massachusetts Institute of Technology. Used for algebraic and analytic number theory. Accessed 2026-08-13.
  • MIT OpenCourseWare — Algebra I — Massachusetts Institute of Technology. Used for groups, vector spaces, linear transformations and linear groups. Accessed 2026-08-13.

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