Why Does Vector Norm Use "Double" Absolute Value?

In summary, the norm of a vector is often written as $ || \vec{v} || $ instead of $ | \vec{v} | $ for several reasons. One reason is that in functional analysis, where vectors can be functions, the notation $ \left| \,f \right|$ may not have any meaning. Another reason is to distinguish between different types of norms being used on a vector space and its underlying field. This is also seen in the equation $ \|\alpha v\| = |\alpha|\cdot \|v\| $, where the double-vertical bar is used for linear algebra with physical interpretations. Additionally, in complex numbers, the complex modulus is equivalent to the absolute value on the real line, but
  • #1
SweatingBear
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Why is it that the norm of a vector is written as a "double" absolute value sign instead of a single one? I.e. why is the norm written as $ || \vec{v} || $ and not $ | \vec{v} | $? I think $ | \vec{v} | $ is appropriate enough, why such emphasis on $ || \vec{v} || $? I think it's rather natural to interpret the "absolute value" of a vector as its length (magnitude), just like in complex analysis.
 
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  • #2
The notation comes from functional analysis, where you have "vectors" that might be functions. In that case, $\| \, f \|$ might have a very different meaning from $ \left| \,f \right|$. In fact, $ \left| \,f \right|$ might have no meaning at all. One definition is the 1-norm:
$$ \| \, f \|_{1}:=\int_{X} \left| \, f \right| \, d\mu.$$
It might be confusing if you used single bars on the LHS of this definition.
 
  • #3
Another reason is this, we have the equation for a scalar \(\displaystyle \alpha\) and a vector \(\displaystyle v\):

\(\displaystyle \|\alpha v\| = |\alpha|\cdot \|v\|\)

where it makes sense to distinguish between the two types of "norms" being used on the vector space, and the underlying field.

Nevertheless, in many abstract treatments of linear algebra, only single vertical bars are used, with the double-vertical bar used for linear algebra with physical interpretations (where vectors and scalars represent different KINDS of entities).

In terms of complex numbers, the complex modulus turns out to BE the absolute value on the real line...the trouble is, in \(\displaystyle \Bbb R^n\) there's no "natural" line through the origin to pick as "the real line" (there are certain exceptions for the special cases n = 1, 2, 4, 8 and 16, but these are too complicated to go into here).
 
  • #4
Fair enough, thanks!
 
  • #5


The use of a "double" absolute value in the vector norm notation $|| \vec{v} ||$ is a convention that has been established in mathematics and has become a standard representation in scientific and engineering fields. This notation is used to emphasize the distinction between the absolute value of a scalar and the norm of a vector.

The absolute value of a scalar is a single value, whereas the norm of a vector is a measure of its length or magnitude. In other words, the norm of a vector is a scalar quantity, but it is not the same as the absolute value of a scalar. Therefore, using a single absolute value sign for the norm of a vector could lead to confusion and misinterpretation.

Moreover, the double absolute value notation for vector norms is also consistent with the notation used in other mathematical concepts, such as matrices and tensors. It allows for a more unified and systematic approach to representing mathematical operations involving vectors.

In addition, using the double absolute value notation for vector norms allows for a more intuitive understanding of the concept. Just like in complex analysis, where the absolute value of a complex number represents its distance from the origin, the norm of a vector represents its distance from the origin in a multi-dimensional space.

In conclusion, the use of a "double" absolute value in the vector norm notation is a convention that has been established for clarity, consistency, and intuitive understanding of the concept. It is a standard representation that is widely accepted and used in scientific and engineering fields.
 

FAQ: Why Does Vector Norm Use "Double" Absolute Value?

Why is absolute value used in vector norm calculations?

The absolute value is used in vector norm calculations because it represents the magnitude or size of a vector without taking into account its direction. This is important in determining the overall "length" of a vector, which is essential in many mathematical and scientific applications.

Why is "double" absolute value specifically used in vector norm calculations?

In some applications, the absolute value of a vector is simply not enough to accurately represent its magnitude. In these cases, using "double" absolute value, which squares the absolute value, is necessary to get a more precise measurement. This is especially important when dealing with complex or multidimensional vectors.

How does using "double" absolute value affect the calculated vector norm?

Using "double" absolute value typically results in a larger value for the vector norm compared to using a single absolute value. This is because squaring the absolute value effectively increases its magnitude, giving a more accurate representation of the vector's size.

Are there any drawbacks to using "double" absolute value in vector norm calculations?

One potential drawback of using "double" absolute value is that it can sometimes lead to overestimating the magnitude of a vector. This can be problematic in certain applications where a more precise measurement is required. Additionally, using "double" absolute value may also introduce more complex mathematical calculations.

Is using "double" absolute value always necessary in vector norm calculations?

No, using "double" absolute value is not always necessary in vector norm calculations. It really depends on the specific application and the level of precision required. In some cases, using a single absolute value is sufficient, while in others, "double" absolute value may be necessary to get an accurate measurement of the vector's magnitude.

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