Defines a norm on a real vector space, the metric it induces, the topological vocabulary read in that metric, and completeness, which makes the space a real Banach space.
In the setting of The Real Numbers: Standing Notation and Background, let be a vector space over , with zero vector , additive inverses and differences as in that lemma.
1. (Norm)¶ A norm on is a map assigning to each a real number , subject to the following conditions for all and every .
(a) (Positive definiteness) , and only if .
(b) (Absolute homogeneity) .
(c) (Triangle inequality) .
2. (Real normed space)¶ A real normed space is a vector space over together with a norm on it. For the remainder of this item, together with is a real normed space.
3. (Distance)¶ For the distance from to is the real number . This is a metric on , so that is a metric space. Indeed, by (a). If then , and by claim 4 of Elementary Identities in a Vector Space, so by (b); conversely forces by (a), whence . Next, , so is the additive inverse of by claim 2 of Elementary Identities in a Vector Space and equals by claim 5 of that lemma; hence by (b). Finally for , so by (c).
4. (Topological vocabulary)¶ Whenever a subset of a real normed space is called open, closed, dense or bounded, or a sequence in is called convergent or Cauchy, this refers to the metric space : a subset is open if it is open in , closed if it is closed in the topology these open sets form by Metric Open Sets Form a Topology, dense if it is dense there, and bounded if it is bounded in ; and a sequence in is convergent or Cauchy if it is convergent or Cauchy in .
5. (Real Banach space)¶ is a real Banach space if the metric space is complete.
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