Multivariable chain rule (with implicit variable)

Refraction
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Homework Statement


If T is implicitly defined via the relationship f(x, y, z, T) = 0 to be a differentiable function of x, y and z, show that the first partial derivative of T with respect to z can be found using:

<br /> \frac{\partial T}{\partial z} = -\frac{\partial f}{\partial z} / \frac{\partial f}{\partial T}<br />

Homework Equations


This is a similar example from my textbook, for f(x, y, z) = 0, where z is assumed to be a function of x only.

<br /> \frac{\partial f}{\partial x} = \frac{\partial f}{\partial x}\frac{\partial x}{\partial x} + \frac{\partial f}{\partial y}\frac{\partial y}{\partial x} + \frac{\partial f}{\partial z}\frac{\partial z}{\partial x}<br />

<br /> 0 = \frac{\partial f}{\partial x} + \frac{\partial f}{\partial z}\frac{\partial z}{\partial x} as x and y are independent variables, meaning the derivative of y with respect to x is 0.

<br /> \frac{\partial z}{\partial x} = -\frac{\partial f}{\partial x} / \frac{\partial f}{\partial z}<br />

The Attempt at a Solution


I tried using something similar for the question and it happened to work out, but I'd like to actually understand it properly. It's mostly the implicit part that I'm unsure of for this question. Here's what I did for it:

<br /> \frac{\partial f}{\partial x} = \frac{\partial f}{\partial x}\frac{\partial x}{\partial z} + \frac{\partial f}{\partial y}\frac{\partial y}{\partial z} + \frac{\partial f}{\partial z}\frac{\partial z}{\partial z} + \frac{\partial f}{\partial T}\frac{\partial T}{\partial z}<br />

<br /> 0 = \frac{\partial f}{\partial z} + \frac{\partial f}{\partial T}\frac{\partial T}{\partial z} as x and y are not dependent on z, derivatives with respect to z must be 0 (not too sure about this part either)

<br /> \frac{\partial T}{\partial z} = -\frac{\partial f}{\partial z} / \frac{\partial f}{\partial T}<br />

It gets the right answer but I'm still a bit confused by it. I was also having trouble figuring out what the dependency tree for this relationship would look like.
For the textbook example, it mentions that z is assumed to be a function of x only; I'm not sure if that applies to applies to this question in a similar way or if it's for both x and y (or maybe something completely different).
 
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Hi Refraction! Welcome to PF! :smile:

(have a curly d: ∂ :wink:)

Your proof is fine.

f is a function of 4 variables.

3 of those are independent, and the 4th is a function of those three variables.

If you change z slightly, that won't affect x or y, but it will affect z (obviously :rolleyes:) and T, so you must include ∂f/∂z and ∂f/∂T ∂T/∂z.
Refraction said:
For the textbook example, it mentions that z is assumed to be a function of x only; I'm not sure if that applies to applies to this question in a similar way or if it is for both x and y (or maybe something completely different).

No, it doesn't apply in this case … the only constraint is that T depends on x y and z.
 
Awesome, thanks! This one question had been bugging me for the last week, your explanation helps a lot.

The only other thing I was unsure of was the dependency tree (which isn't really necessary for this question anyway). I understand how they work for something like a function z = f(x, y), where x and y are both differentiable with respect to multiple variables (e.g. s and t):

rwhveu.png


since it's easy enough to figure out that (as an example) ∂z/∂s = ∂z/∂x ∂x/∂s + ∂z/∂y ∂y/∂s from this. But for something like this question, where it doesn't explicitly tell you that sort of thing, I'm not so sure what it would look like.
 
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Hi Refraction! :smile:

I've never come across dependency trees before. :redface:

From your diagram, it seems that the dependency tree in this case would need T on a higher level than x y and z, so that lines could go down from f to x y z and T, and from T to x y and z.

I honestly don't see the advantage of drawing that. :confused:
 
Thanks again, that does sound like it would make sense. And thinking about it now, it doesn't look like it would have much of a use for this kind of question anyway.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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