How to apply tensor transformation rule

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SUMMARY

The discussion focuses on the application of the tensor transformation rule to position vectors in different coordinate systems, specifically Cartesian and polar coordinates. It establishes that while the position vector can be expressed in polar coordinates as \(X = r \partial_r\), the transformation rule does not apply to both \(r\) and \(\theta\) components simultaneously, as the \(\theta\) component is zero. The correct representation shows that the position vector in polar coordinates only has a radial component, confirming that \(X^x = r \cos(\theta)\) and \(X^y = r \sin(\theta)\) are valid transformations.

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guv
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TL;DR
how is the tensor transformation rule applied on a position vector? $$v^\alpha = v^{*\beta} \frac{\partial u^\alpha}{\partial u^{* \beta}}$$
Suppose I have a Cartesian Coordinate system (x,y) and a polar coordinate system (##r, \theta##). The position vector (3,4) and (5, ##\arctan \frac{4}{3}##) are the same except the representation. The position vector is a tensor, how does the position vector follow the tensor transformation rule? Surely I cannot write ##x = r \frac{\partial x}{\partial r} + \theta \frac{\partial x}{\partial \theta}##

It's clear for a function ##f(x(r, \theta),y(r, \theta))##, its derivative ##\frac{\partial f}{\partial r}## which is the gradient vector follows the transformation rule.

Does the transformation rule apply to a position vector?
 
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guv said:
Surely I cannot write ##x = r \frac{\partial x}{\partial r} + \theta \frac{\partial x}{\partial \theta}##
You can obviously write it (you just did), but it would be very wrong in general.

guv said:
Does the transformation rule apply to a position vector?
Yes! Try it in polar coordinates on the Euclidean plane!

$$
x = r \cos(\theta), \quad y = r\sin(\theta)
$$
 
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Thanks, I know how ##x = r \cos \theta , y = r \sin \theta## works. What makes me wonder is why you can't use the tensor transformation rule on the position as I initially wrote.
 
You can if you do it correctly.
 
Would you mind showing how that works, I am very curious to see how. Thanks!
 
For example, the position vector in polar coordinates is ##X = r\partial_r##. In other words, the only non-zero component is ##X^r##. Hence
$$
X^x = X^r \frac{\partial x}{\partial r}
= r \cos(\theta) = x
$$
Similarly for the y-component.
 
Don't you need to include both ##r## and ##\theta##? i.e. exactly what I wrote initially? :cool: Why is ##r## non-zero but ##\theta## is zero? ##\theta## is not necessarily zero? Sorry I am not getting it.
 
guv said:
Don't you need to include both ##r## and ##\theta##? i.e. exactly what I wrote initially? :cool: Why is ##r## non-zero but ##\theta## is zero? ##\theta## is not necessarily zero? Sorry I am not getting it.
I did include the ##\theta## component (it is zero).

The position vector in polar coordinates does not have ##r## and ##\theta## as its components. It only has a radial component with value ##r##. Whatever point you pick, its position vector is fully in the radial direction.
 
If it makes you feel better we can always write
$$
X^x = X^r \frac{\partial x}{\partial r} +
\underbrace{X^\theta}_{= 0}\frac{\partial x}{\partial \theta}
= r \cos(\theta) = x
$$
 
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  • #10
Silly me. I get it now. Thanks!
 

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