Why is the term 'norm' used instead of 'absolute value' in vector spaces?

In summary, the norm is the general term used for the length or size of a vector in any vector space. While the absolute value is commonly used as the norm for one-dimensional vector spaces, the euclidean norm is the usual norm for two or more dimensional vector spaces. However, they are not interchangeable, as the absolute value only applies to real numbers while the norm can be applied to any vector space, even infinite dimensional ones.
  • #1
athrun200
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I saw some books and say that norm is the absolute value in vector.

If it also means absolute value, why don't we use absolute value |[itex]\vec{v}[/itex]| instead we use ||[itex]\vec{v}[/itex]||?
 
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  • #2
Absolute value is the usual norm for [itex]\mathbb{R}[/itex].
The euclidean norm is the usual norm for [itex]\mathbb{R}^n[/itex]

While the euclidean norm is sometimes written using the same notation as absolute value, it is not the same thing. Furthermore, in the abstract a norm is not necessarily the euclidean norm.

http://en.wikipedia.org/wiki/Norm_(mathematics )
 
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  • #3
Strictly speaking, as Alchemista said, "absolute value" only applies to numbers. "norm" applies to any vector space, whether [itex]R^n[/itex] or more abstract, even infinite dimensional vector spaces. Of course, the set of real numbers can be thought of as a one-dimensional vector space and then the "usual norm" is, the absolute value.

Because of that, you will occaisionaly see the term "absolute value" used for the general norm but that is not very good terminology.
 

1. What is the difference between norm and absolute value?

The norm of a complex number or vector is a measure of its magnitude or length, while the absolute value is the positive distance of a number from zero on a number line.

2. When should I use norm instead of absolute value?

Norm is typically used in higher dimensions or for more complex mathematical structures, while absolute value is used for simpler one-dimensional quantities.

3. Can the norm of a vector be negative?

No, the norm of a vector is always a positive value. It represents the magnitude or length of the vector and does not have a direction.

4. How is norm related to Euclidean distance?

The norm of a vector is equivalent to the Euclidean distance of that vector from the origin in a Cartesian coordinate system.

5. What is the significance of norm in machine learning?

Norm is often used as a regularization technique in machine learning to prevent overfitting and improve the generalization of models. It can also be used as a distance metric for comparing data points in clustering algorithms.

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