A normed algebra is an algebra over a field with a norm satisfying . Its completion is a Banach algebra, since multiplication extends continuously. Completeness is additional structure, rather than part of the definition of a normed algebra.
A finite-dimensional commutative real algebra with a Euclidean multiplicative norm has dimension at most two. Automatic real bilinearity from a multiplicative norm supplies bilinearity if it was not part of the initial description. On its unit sphere, squaring has derivative , injective because there are no zero divisors. The only equal squares are antipodal pairs, so the map induces an injective immersion . Compactness and the inverse function theorem make it a diffeomorphism when . For , the fundamental groups and zero contradict this. The real and complex number algebras attain dimensions one and two.
Suppose a ring has an underlying real normed vector space and its norm is multiplicative, without initially assuming real bilinearity of multiplication. For fixed , distributivity makes additive, while makes it continuous. Additivity gives rational scalar compatibility, and continuity extends it to every real scalar. Apply the same argument in the other variable to obtain a bilinear map. The norm identity also excludes nonzero zero divisors.
A normed division algebra is a nonzero unital normed algebra in which every nonzero element has a two-sided multiplicative inverse. The complex Gelfand-Mazur theorem forces such an algebra to be , even when completeness is not initially assumed: embed it in its Banach algebra completion and use nonemptiness of the Banach-algebra spectrum.
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A **normed algebra** is a specific type of algebraic structure that combines features of both normed spaces and algebras. To qualify as a normed algebra, a mathematical object must meet the following criteria: 1. **Algebra over a field**: A normed algebra \( A \) is a vector space over a field \( F \) (typically the field of real or complex numbers) equipped with a multiplication operation that is associative and distributive with respect to vector addition.