Coordinate transform of partial derivative

In summary: However, in higher dimensions, the product rule would still apply and the double derivative would be written as \frac{\partial^2}{\partial x^2}
  • #1
ck99
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Homework Statement



How does ∂aAb behave under coordinate transformations in special relativity? Work out ∂'aA'b


Homework Equations





The Attempt at a Solution



I have been given back the solution sheet to this problem, but I don't understand it. This is what I have

partial.jpg


I get the first line, (13). We have treated the partial as a covariant vector, and written out the usual transform for it. The part within the brackets is the normal transform of a contravariant vector A.

Looking at (14), the text says we have used the product rule here. I am familiar with this in normal calculus, where if k(x) = f(x)g(x) then k'(x) = f'(x)g(x) + f(x)g'(x). If I apply that here, I would expect to see ∂'aAb + ∂aA'b

Written out long hand, this would be similar to (14). However, the solution has an extra ∂Xd/∂X'a in the second term, and that weird ∂∂X'b thing in the first term.

For the second term in (14) we have every item in (13) just multiplied together in a different order; and the first term in (14) is the same, but with two of those items conflated to form the ∂∂X'b strangeness. Are they multiplied together in some sense, or is this now a second order partial derivative term? What on Earth is going on? If someone could post up a clear rule for how to approach this type of problem it would be great, as it will keep cropping up in my course and I am totally clueless how else to tackle it.

My tutor advised me to take a look at the wikipedia link for the chain rule, but I can't see how that is relevant to this problem, although I see it is different in higher dimensions to what I am used to. I have also searched to see if the product rule is different in higher dimensions, but it seems to work just the same for vectors as for normal functions.
 
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  • #2
You're starting off with
[tex]\partial'_a A'^b = \frac{\partial X^d}{\partial X'^a} \frac{\partial}{\partial X^d} \left(\frac{\partial X'^b}{\partial X^c} A^c\right) =
\frac{\partial X^d}{\partial X'^a} \left[\frac{\partial}{\partial X^d} \left(\frac{\partial X'^b}{\partial X^c} A^c\right)\right][/tex]You use the product rule to evaluate the term in the square brackets to get
[tex]\partial'_a A'^b = \frac{\partial X^d}{\partial X'^a} \left[
\left(\frac{\partial}{\partial X^d} \frac{\partial X'^b}{\partial X^c}\right) A^c + \frac{\partial X'^b}{\partial X^c} \left(\frac{\partial}{\partial X^d} A^c\right)\right][/tex]
 
  • #3
Thanks for that Vela, I can follow your explanation although I am not sure why we do it that way instead of putting the terms in a different order or changing the position of the square brackets - probably some property of the partial operator which I am not familiar with. As long as I know how to do it, that is a victory!

Could you (or someone else) explain what the "double derivative" ∂∂X'b/∂Xd∂Xc means? It looks like it's the rate of change of a derivative, which should be a second-order derivative I think, but it's not written that way.
 
  • #4
I'm not sure where your confusion lies because there's really no other way to do that calculation. It's just using the standard rules you learn in calculus about differentiating.

That term is a second-order derivative. In the "normal" notation, it would correspond go a term like [itex]\frac{\partial^2}{\partial x\partial y}[/itex] if c≠d, and to a term like [itex]\frac{\partial^2}{\partial x^2}[/itex] if c=d.
 
  • #5
I have also searched for the "product rule" in the context of tensors, but found nothing.



I can understand your confusion with this problem. Coordinate transformations in special relativity can be quite complex and difficult to understand at first. However, with some practice and understanding of the underlying principles, it becomes easier to work with.

To answer your question, ∂aAb behaves as a covariant vector under coordinate transformations in special relativity. This means that it transforms in the same way as a contravariant vector A. In other words, it undergoes a Lorentz transformation, just like A does.

Now, for the second part of the problem, we have to apply the product rule to the transformed vector ∂'aA'b. This is where the ∂∂X'b term comes in. In higher dimensions, the product rule for tensors involves not only the usual multiplication of components, but also the differentiation of components. This is why we have an extra ∂Xd/∂X'a term in the second term of (14).

In summary, when dealing with coordinate transformations in special relativity, it is important to remember that tensors behave differently than regular vectors and functions. The product rule for tensors involves not only multiplication of components, but also differentiation. With practice and understanding of the underlying principles, it will become easier to work with these types of problems.
 

1. What is a coordinate transform of partial derivative?

A coordinate transform of partial derivative is a mathematical process used to change the coordinate system of a function while taking into account how the function changes with respect to each of its variables. This involves finding the partial derivative of the function with respect to each new coordinate, and then combining them with the chain rule.

2. Why is coordinate transform of partial derivative important?

Coordinate transform of partial derivative is important because it allows us to analyze a function from different perspectives and in different coordinate systems. This can provide a deeper understanding of the function's behavior and can be useful in various scientific and engineering applications.

3. How is coordinate transform of partial derivative related to multivariable calculus?

Coordinate transform of partial derivative is a fundamental concept in multivariable calculus. It is used to calculate the rate of change of a multivariable function with respect to different variables, and is essential for solving optimization problems and understanding vector calculus.

4. What are some common coordinate systems used in coordinate transform of partial derivative?

Some common coordinate systems used in coordinate transform of partial derivative include Cartesian coordinates, polar coordinates, spherical coordinates, and cylindrical coordinates. The choice of coordinate system depends on the nature of the function and the problem being solved.

5. What are some applications of coordinate transform of partial derivative?

Coordinate transform of partial derivative has various applications in fields such as physics, engineering, economics, and statistics. It is used to analyze the motion of objects, optimize functions, model physical systems, and understand the relationship between variables in complex systems.

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