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norm | A Wisdom Archive on norm |  | norm A selection of articles related to norm |  |
| We recommend this article: norm - 1, and also this: norm - 2. |
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More material related to Norm can be found here:
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norm, Norm, Normal, Norma, Surface normal
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ARTICLES RELATED TO norm | |
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 |  |  | norm: Encyclopedia II - Norm mathematics - PropertiesThe concept of unit circle (the set of all vectors of norm 1) is different in different norms: for the 1-norm the unit circle in R2 is a rhomboid, for the 2-norm (Euclidean norm) it is the well-known unit circle, while for the infinity norm it is a square. See the accompanying illustration.
In terms of the vector space, the semi-norm defines a topology on the space, and this is a Hausdorff topology precisely when the semi-norm can distinguish between distinct vectors, which is ...
See also:Norm mathematics, Norm mathematics - Definition, Norm mathematics - Notes, Norm mathematics - Examples, Norm mathematics - Euclidean norm, Norm mathematics - Taxicab norm or Manhattan norm, Norm mathematics - p-norm, Norm mathematics - Infinity norm or maximum norm, Norm mathematics - Zero norm, Norm mathematics - Other norms, Norm mathematics - Properties, Norm mathematics - Absolutely convex and absorbing sets Read more here: » Norm mathematics: Encyclopedia II - Norm mathematics - Properties |
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 |  |  | norm: Encyclopedia II - Norm mathematics - Examples
Norm mathematics - Euclidean norm.
On Rn, the intuitive notion of length of the vector x = [x1, x2, ..., xn] is captured by the formula
This gives the ordinary distance from the origin to the point x, a consequence of the Pythagorean theorem. The Euclidean norm is by far the most commonly used norm on Rn, but there are other norms on this vector space as will be ...
See also:Norm mathematics, Norm mathematics - Definition, Norm mathematics - Notes, Norm mathematics - Examples, Norm mathematics - Euclidean norm, Norm mathematics - Taxicab norm or Manhattan norm, Norm mathematics - p-norm, Norm mathematics - Infinity norm or maximum norm, Norm mathematics - Zero norm, Norm mathematics - Other norms, Norm mathematics - Properties, Norm mathematics - Absolutely convex and absorbing sets Read more here: » Norm mathematics: Encyclopedia II - Norm mathematics - Examples |
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 |  |  | norm: Encyclopedia II - Matrix norm - Entrywise normsThese vector norms treat a matrix as an vector, and use one of the familiar vector norms. For example, for k=1,2,..., we have the following k-norm:
For k=2, it corresponds to the Euclidean norm and is called the Frobenius norm. Most entrywise norms are not (submultiplicative) matrix norms.
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See also:Matrix norm, Matrix norm - Equivalence of norms, Matrix norm - Operator norm or induced norm, Matrix norm - Consistent norms, Matrix norm - Spectral norm or spectral radius, Matrix norm - Entrywise norms, Matrix norm - Frobenius norm Read more here: » Matrix norm: Encyclopedia II - Matrix norm - Entrywise norms |
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 |  |  | norm: Encyclopedia II - Norm mathematics - DefinitionGiven a vector space V over a subfield F of the complex numbers such as the complex numbers themselves or the real or rational numbers, a semi-norm on V is a function p:V→R; x→ p(x) with the following properties:
For all a in F and all u and v in V,
p(v) ≥ 0 (positivity)
p(a v) = |a| p(v), (positive homogeneity or positive scalabili ...
See also:Norm mathematics, Norm mathematics - Definition, Norm mathematics - Notes, Norm mathematics - Examples, Norm mathematics - Euclidean norm, Norm mathematics - Taxicab norm or Manhattan norm, Norm mathematics - p-norm, Norm mathematics - Infinity norm or maximum norm, Norm mathematics - Zero norm, Norm mathematics - Other norms, Norm mathematics - Properties, Norm mathematics - Absolutely convex and absorbing sets Read more here: » Norm mathematics: Encyclopedia II - Norm mathematics - Definition |
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 |  |  | norm: Encyclopedia II - Matrix norm - Equivalence of normsFor any two vector norms | · |1 and | · |2, we have
for some positive numbers r and s, for all matrices A. In other words, they are equivalent norms; they induce the same topology on the real or complex vector space.
Moreover, when m = n, then for any vector norm | · |, there exists a unique positive number k such that k| · | is a (submultiplicative) matrix norm.
A matrix norm || · || is said to be minimal if there exists no other ma ...
See also:Matrix norm, Matrix norm - Equivalence of norms, Matrix norm - Operator norm or induced norm, Matrix norm - Consistent norms, Matrix norm - Spectral norm or spectral radius, Matrix norm - Entrywise norms, Matrix norm - Frobenius norm Read more here: » Matrix norm: Encyclopedia II - Matrix norm - Equivalence of norms |
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