How does a norm differ from an absolute value?

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Homework Help Overview

The discussion revolves around the distinction between norms and absolute values in mathematics, particularly in the context of vector spaces and inner products.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the definitions and properties of norms and absolute values, questioning whether they are fundamentally different or if one is a specific case of the other. There is also discussion about the role of inner products in defining norms.

Discussion Status

Some participants have provided insights into the relationship between norms and absolute values, noting that while absolute values are a specific example of norms, the definitions can vary based on context. There is an ongoing exploration of how different inner products influence the definition of norms.

Contextual Notes

Participants highlight that the term "absolute value" is typically reserved for real or complex numbers, while "norm" is used in the context of vectors, suggesting a potential area of confusion regarding terminology.

dimensionless
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How does a norm differ from an absolute value? For example, is

[tex] \|\mathbf{x}\| = \sqrt{x_1^2 + \cdots + x_n^2}[/tex]

any different than

[tex] |\mathbf{x}| = \sqrt{x_1^2 + \cdots + x_n^2}[/tex]

??
 
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The usual absolute value satisfies all the properties of a norm- it's just the most common example of one. You've surely met other examples of norms though.
 
dimensionless said:
How does a norm differ from an absolute value? For example, is

[tex] \|\mathbf{x}\| = \sqrt{x_1^2 + \cdots + x_n^2}[/tex]

any different than

[tex] |\mathbf{x}| = \sqrt{x_1^2 + \cdots + x_n^2}[/tex]

??

What the norm is kind of depends on how you are defining the inner product. The example you have is for a normal dot product, but the norm for an inner product is the sqrt of the inner product...

A better definition
http://mathworld.wolfram.com/VectorNorm.html
 
Last edited:
Geekster said:
What the norm is kind of depends on how you are defining the inner product.

Every inner product leads to a norm, but not all norms come from an inner product.
 
Strictly speaking, the term "absolute value" is used only for numbers: real or complex. The term "norm" is used for vectors. The norm is exactly the same as what you are calling absolute value but I wouldn't use that term.
 

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