How to apply tensor transformation rule

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Discussion Overview

The discussion revolves around the application of the tensor transformation rule to position vectors in different coordinate systems, specifically Cartesian and polar coordinates. Participants explore how the transformation rule applies to these representations and the implications for derivatives and components of position vectors.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions the validity of applying the tensor transformation rule to position vectors, stating that the expression for the position vector in terms of polar coordinates seems incorrect.
  • Another participant asserts that the transformation rule does apply to position vectors and provides the polar coordinate expressions for the Cartesian coordinates.
  • A participant expresses curiosity about why the tensor transformation rule cannot be applied as initially suggested and seeks clarification.
  • Clarification is provided that the position vector in polar coordinates can be expressed correctly, emphasizing that it has only a radial component.
  • Participants discuss the necessity of including both radial and angular components in the transformation, with some asserting that the angular component is zero in this context.
  • One participant acknowledges their misunderstanding after further explanation is provided.

Areas of Agreement / Disagreement

There is disagreement regarding the application of the tensor transformation rule to position vectors, particularly concerning the inclusion of angular components. Some participants assert that only the radial component is relevant, while others question this interpretation.

Contextual Notes

Participants express uncertainty about the correct application of the tensor transformation rule and the roles of different components in the position vector. The discussion highlights the need for clarity regarding the definitions and assumptions underlying the transformation rules.

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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