When do total differentials cancel with partial derivatives

In summary, The 'cancellation' done in the conversation is a simplification using the multivariable chain rule, which is a useful mnemonic but not entirely accurate as the derivative is not a fraction.
  • #1
sunrah
199
22
I've just done a derivation and had to use the following

[itex]u_{b}u^{c}\partial_{c}\rho = u_{b}\frac{dx^{c}}{d\tau}\frac{\partial\rho}{\partial x^{c}} = u_{b}\frac{d\rho}{d\tau}[/itex]

We've done this cancellation a lot during my GR course, but I'm not clear exactly when/why this is possible.

EDIT: is this only true in inertial coordinates?
 
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  • #2
Are you familiar with the multivariable chain rule
[tex]\frac{d f (x,y)}{dt} = \frac{\partial f}{\partial x}\frac{dx}{dt} + \frac{\partial f}{\partial y}\frac{dy}{dt}?[/tex]
The 'cancellation' you performed there is simply a simplification using the chain rule (remember that you are using the Einstein summation convention).
 
  • #3
Fightfish said:
Are you familiar with the multivariable chain rule
[tex]\frac{d f (x,y)}{dt} = \frac{\partial f}{\partial x}\frac{dx}{dt} + \frac{\partial f}{\partial y}\frac{dy}{dt}?[/tex]
The 'cancellation' you performed there is simply a simplification using the chain rule (remember that you are using the Einstein summation convention).

Thanks, i did notice that of course after posting o:)
 
  • #4
And, while it may be a useful "mnemonic", the derivative, ordinary or partial, is NOT a fraction and the "chain rule" does NOT involve "cancelling".
 
  • #5
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1. What is the difference between total differentials and partial derivatives?

Total differentials and partial derivatives are both mathematical tools used in differential calculus. Total differentials are used to approximate the change in a multivariable function, while partial derivatives are used to measure the rate of change of a function with respect to one of its variables, holding all other variables constant.

2. When do total differentials and partial derivatives cancel each other out?

Total differentials and partial derivatives cancel each other out when the function being studied is a linear function. This means that the function can be expressed as a sum of its partial derivatives multiplied by their respective variables.

3. Why is it important to understand when total differentials and partial derivatives cancel?

Understanding when total differentials and partial derivatives cancel is important because it allows us to simplify calculations and make approximations. This is especially useful in science and engineering fields where complex mathematical models are often used.

4. Can total differentials and partial derivatives cancel in non-linear functions?

No, total differentials and partial derivatives cannot cancel in non-linear functions. This is because non-linear functions cannot be expressed as a sum of their partial derivatives multiplied by their variables, making it impossible for them to cancel each other out.

5. How can I determine if a function is linear and if total differentials and partial derivatives will cancel?

A function is linear if it satisfies the properties of linearity, such as being able to be expressed as a sum of its partial derivatives. To determine if total differentials and partial derivatives will cancel, you can check if the function satisfies the conditions of the Total Differential Theorem, which states that the total differential of a function is equal to the sum of its partial differentials.

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