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ArticlePublished 7 Aug 20262 min readBy Kevin Joginideal normindexmultiplicativeresidue field
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KEVOS AIIdeal Norm Computation

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Orders, Ideals and Prime Decomposition

Ideal Norm Computation

The norm of an ideal as its index in the order, its multiplicativity, and its use as a size measure and consistency check.

Engineering / MathematicsOrders, Ideals and Prime Decomposition2 min readKV-MATH-0588

The norm of an ideal is the number of residue classes modulo it. It is the primary size measure for ideals, it is multiplicative, and it is cheap to compute from the standard representation.

Definition and computation

N(I) = index of I in O = product of Hermite diagonal entriesAdjusted by the denominator for a fractional ideal.

Key point

The norm falls straight out of the Hermite representation as a product of diagonal entries. No extra work is required, which is why it is the natural size measure.

Properties

Multiplicative
The norm of a product is the product of the norms. The single most useful property, and the basis of every consistency check on ideal arithmetic.
Agrees with element norm
For a principal ideal, the ideal norm is the absolute value of the element norm.
Prime ideals
A prime above a rational prime p has norm a power of p, the exponent being the residue degree.
Finiteness
Only finitely many ideals have norm below any bound, which is what makes factor bases finite.

The degree relation

sum over primes P above p of e(P) f(P) = ne is the ramification index, f the residue degree, n the field degree.

Key point

This relation is the standard verification for prime decomposition. If the sum does not come to the field degree, the decomposition is wrong, and the check costs nothing.

Norms as a size measure

Reduction algorithms seek ideals of small norm in a given class, and factor bases consist of prime ideals of norm below a bound. In both cases the norm is the quantity being minimised or bounded — see factor base selection.

Note

Norm is not the only sensible size measure. For ideal reduction the relevant notion also involves the archimedean sizes of generators, which is why reduction uses the conjugate vector as well as the norm.

Smoothness

An ideal is smooth with respect to a factor base when its norm factors over the corresponding rational primes and each prime ideal appearing is in the base. Testing smoothness therefore begins with an integer factorisation of the norm — see smoothness.

Cost

Because smoothness testing requires factoring the norm, it is the inner loop of class group computation and its cost dominates relation collection. Trial division against the factor base primes is usually the right method, since the base is precisely the set of primes of interest.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 4.7.2. 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

  • Trace, Norm and the Characteristic Polynomial
  • Ideal Multiplication and Division
  • Prime Decomposition: Theory and Ramification

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