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GuidePublished 7 Aug 2026Updated 13 Aug 20267 min readBy Kevin Joginregulatorfundamental unitskernelrelation matrix
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Sub-exponential Class Group Computation

Regulator and Fundamental Unit Recovery

Extracting fundamental units and the regulator from the kernel of the relation matrix, and confirming the unit system is fundamental.

Engineering / MathematicsSub-exponential Class Group Computation8 min readKV-MATH-0630

Units fall out of the same relation matrix that gives the class group. A relation that is trivial as an ideal identity means the generator involved is a unit, and the collection of such generators spans the unit lattice.

Where units come from

Each relation records a product of ideals equal to a principal ideal with a known generator. A combination of relations whose exponent vectors cancel gives a product of generators generating the trivial ideal — that is, a unit.

Kernel vectors of the relation matrix -> unitsThe corresponding product of recorded generators is a unit.

Key point

This is why the class group and unit computations are inseparable. The torsion part of the relation lattice quotient is the class group; the kernel gives the units. One matrix, both answers — see the combined computation.

The procedure

Recovering units and the regulator

  1. Compute the kernelOf the relation matrix over the integers.
  2. Form the unitsEach kernel vector gives a product of recorded generators.
  3. Embed logarithmicallyUsing the accumulated real vectors — see the logarithmic embedding.
  4. Reduce the unit latticeApply LLL to obtain a smaller and more nearly fundamental system.
  5. Compute the regulatorAs the determinant of the reduced logarithmic matrix with one column deleted.
  6. Check fundamentalityAgainst the analytic class number formula.

Units are never written out

Caution

The units produced are products of many recorded generators and are astronomically large. They are stored in factored form — as an exponent vector over the recorded generators — and never expanded. Attempting to expand one will exhaust memory.

Note

All the operations needed on units are available in factored form: multiplication concatenates exponent vectors, and the logarithmic embedding is a linear combination of the recorded logarithmic vectors. Expansion is never necessary.

The index problem

A system obtained this way is independent but may not be fundamental. The regulator computed is then an integer multiple of the true one, and determining that integer is the final step.

Resolving the unit index
ApproachEffect
Lattice reduction on the unit latticeFinds smaller units; reduces but may not eliminate the index
More relationsOften produces the missing units directly
Comparison with the analytic formulaReveals the index as a ratio
Bounded search under GRHMakes an exhaustive search finite

Key point

The rank is known in advance from the signature, so it is always clear how many independent units are needed. What is not automatic is whether they generate the full group — that is the index question, and it needs an external check.

Precision

Pitfall

The regulator is a determinant of logarithms of enormous numbers, so cancellation is severe. Precision must be tracked from the very first ideal reduction, because the logarithmic data accumulates through every step of relation collection.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 6.5.3. 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

  • The Logarithmic Embedding and the Unit Lattice
  • The Regulator: Definition and Computation
  • Relation Matrix Construction
  • Verifying Class Group and Regulator Results

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 Regulator and Fundamental Unit Recovery. 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 Regulator and Fundamental Unit Recovery as a network of definitions and implications, not as a list of formulas. The working vocabulary on this page—fundamental, units, regulator, unit, kernel—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 Regulator and Fundamental Unit Recovery?

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 fundamental 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 — Linear Algebra — Massachusetts Institute of Technology. Used for systems, vector spaces, determinants, eigenvalues and matrices. 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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