|  Norm and Normed Vector Spaces | 
In General
  > s.a. Banach; sequences [Cauchy];
  Hölder Inequality.
  $ Norm: A mapping
    || · || : V → \(\mathbb R\), with V
    a vector space, such that  (i) ||av|| = |a| ||v||;
    (ii) ||v+w|| < ||v|| + ||w||
    (triangle inequality); (iii) ||v|| ≥  0, for all v
    in V, and ||v|| = 0 implies v = 0; Positivity
    follows from conditions (i)–(ii).
  $ Normed space:
    A pair (V, || · ||) as above.
  * Equivalent norms:
    N1 and
    N2 are equivalent when there
    exist c and C in \(\mathbb R\) such that for all v
    in V, cN2(v)
    ≤ N1(v) ≤
    CN2(v).
  > Online resources:
    see Wikipedia page.
Relationships
  * And topology: Any normed
    space can be given a ("strong") topology by defining the base
    of open balls BR,x:=
    {y ∈ V | ||y−x|| < R}.
  * And distance: A normed
    space can be given a distance by d(x, y):=
    ||x−y||.
Examples > s.a. tensors [on tensor product spaces].
  * On Rn:
    One can define the Lp
    norm ||x||p:=
    [∑i
    \(|x_i|^p\)]1/p; as p
    → ∞, we get ||x||∞:=
    max\(_i\) |xi|;
    All of these norms are equivalent, and induce the Euclidean topology
    on \(\mathbb R\)n.
  * On function spaces:
    A common type of norms are the Sobolev norms; > s.a.
    functional analysis.
  * On operators on a Banach
    space X: For an operator A: X →
    X, ||A||:= supv
    ∈ X ||Av||X
    / ||v||X .
  * On maps between classes
    of operators: For a completely positive map Φ between Schatten
    p and q classes of operators, the p →
    q norm is ||Φ||:= maxA
    ||ΦA||q
    / ||A||p .
  @ For operators: Prodan et al JPA(06)mp/05 [compact complex symmetric operator, computation];
    Watrous QIC(05),
    Audenaert LAA-mp/05
      [p → q norms of completely positive maps].
References
  @ General: Day 73;
    Alsina et al 09 [characterizations of real normed spaces as inner product spaces].
  @ Related topics: Busch LMP(98)mp [base normed vector spaces].
Generalizations
  > s.a. modified quantum theory [with indefinite norm].
  * Seminorm: A map
    || · || :V → \(\mathbb R\), where V
    is a vector space over \(\mathbb C\), such that ||x+y|| ≤
    ||x|| + ||y||, and ||αx|| = |α| ||x||;
    Positivity follows, but not definiteness; A family Γ of seminorms on V
    defines a unique topology TΓ
    compatible with the vector structure of V; The topology
    TΓ is the largest
    making all the seminorms continuous, but it is not necessarily Hausdorff.
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  – other sites – acknowledgements
  send feedback and suggestions to bombelli at olemiss.edu – modified 13 apr 2019