What is the notation for the distance between two position vectors?

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The notation for the distance between two position vectors, s and v, can be expressed as r = ||(s - v)||, where ||x|| denotes the norm or modulus of vector x. The distance can be calculated using the formula r = SQRT((s1-v1)^2 + (s2-v2)^2 + (s3-v3)^2). While the Euclidean metric is commonly used, other metrics can also apply, provided they are defined. Different definitions of the norm include the Euclidean norm, Manhattan norm, and maximum norm, each offering various methods for calculating distance. Understanding these definitions is essential for accurately representing the distance between vectors.
CraigH
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If I have two 3 dimensional position vectors:

s
and
v

What is the notation for the distance between them?

I know to calculate the distance I would use:

r = SQRT ( (s1-v1)^2 + (s2-v2)^2 + (s3-v3)^2 )
where s1 is the first element in the position vector s etc.

What is an equation that represents this? Can I use the equation:

r= ||( s - v )||

where ||x|| is the modulus function?
 
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Sure.
 
||x|| is symbol used for the norm (modulus) of x. It has to be defined. Usually the Euclidean metric is used, but others may be used.
 
mathman said:
It has to be defined. Usually the Euclidean metric is used, but others may be used.

Hi mathman,
Thanks for the answer. What do you mean when you say it has to be defined?
 
Let v = (x,y,z)

Definition 1: ||v|| = (x2 + y2 + z2)1/2
Definition 2: ||v|| = |x| + |y| + |z|
Definition 3: ||v|| = max(|x|,|y|,|z|)

There are endless possibilities, such as using nth power with nth root, analogous to Euclidean.
 
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