Integral Domain Norm
Definition 1
An multiplicative norm on an integral domain with respect to all is defined by the following conditions:
- (i):
- (ii):
Theorem
Let be a prime.
- [1]: If a multiplicative norm is defined on , then and for all units ,
- [2]: If all that satisfy are units in , then any that satisfies is an irreducible element in .
- A unit is an element that has a multiplicative inverse.
Explanation
While the term norm typically presupposes , the conditions such as added for often make it a multiplicative as well as a Euclidean norm. General guarantees cannot be made; however, it’s rare to find motivation to study algebraic structures that do not even conform to this level of common sense. If a norm is defined, it is almost certainly safe to assume .
The definition of a norm provides significant aid in understanding the arithmetic structure of an integral domain . In algebraic number theory, various norms suited to the domain are defined, allowing algebraic structures that don’t seem to fall within the realm of number theory to be ‘pulled in’ for study. Needless to say, they are directly applicable to number theory. Interesting examples include Gaussian integers , and Eisenstein integers (../1291).
According to theorem [2], even if we know little about an element of that , merely knowing that is prime ensures that is an irreducible element in . As is known, a prime is an irreducible element in , and through condition (ii) can be viewed as preserving the properties of an irreducible element from to .
Proof
[1]
Strategy: Ripping apart an element of via condition (ii) naturally leads to deduction.
For the identity element , computing yields Therefore, . Furthermore, if is a unit, its inverse exists by definition, hence Of course, since is an integer, it must be .
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[2]
Given that all satisfying are units in . If is such that and , then Since is prime, it must be that or . Given the assumption, one of or must be a unit in , thus becomes an irreducible element in .
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Fraleigh. (2003). A first course in abstract algebra(7th Edition): p410. ↩︎