Multivariable chain rule (with implicit variable)

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Homework Help Overview

The problem involves the implicit differentiation of a function T defined by the equation f(x, y, z, T) = 0, where T is a function of the variables x, y, and z. The goal is to derive the first partial derivative of T with respect to z using the multivariable chain rule.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to apply the chain rule for partial derivatives but expresses confusion regarding the implicit nature of T and the dependency relationships among the variables. Participants discuss the implications of treating z as a function of x and y in this context and question how to construct a dependency tree for the variables involved.

Discussion Status

Some participants provide affirmations of the original poster's approach and clarify the relationships between the variables. There is acknowledgment of the complexity of the dependency tree, with differing opinions on its necessity for understanding the problem. The discussion remains open, with participants exploring various interpretations and clarifications.

Contextual Notes

Participants note that the relationship between the variables is not explicitly defined in terms of dependencies, leading to uncertainty about how to visualize or represent these relationships in a dependency tree.

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:

[tex] \frac{\partial T}{\partial z} = -\frac{\partial f}{\partial z} / \frac{\partial f}{\partial T}[/tex]

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.

[tex] \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}[/tex]

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

[tex] \frac{\partial z}{\partial x} = -\frac{\partial f}{\partial x} / \frac{\partial f}{\partial z}[/tex]

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:

[tex] \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}[/tex]

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

[tex] \frac{\partial T}{\partial z} = -\frac{\partial f}{\partial z} / \frac{\partial f}{\partial T}[/tex]

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).
 
Last edited:
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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.
 
Last edited:
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.
 

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