Implicit Differentiation of Multivariable Functions

In summary, the chain rule can be used to find dx/dy in terms of partial derivatives of F, but it is a little subtle.
  • #1
KingBigness
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0

Homework Statement


Suppose that the equation F(x,y,z) = 0 implicitly defines each of the three variables x, y and z as functions of the other two: z = f(x,y), y = g(x,z), z = h(y,z). If F is differentiable and Fx, Fy and Fz are all nonzero, show that

[itex]\frac{∂z}{∂x}[/itex] [itex]\frac{∂x}{∂y}[/itex] [itex]\frac{∂y}{∂z}[/itex] = -1

The Attempt at a Solution



I have been scribbling away at this for a little while now and can't see it.
I assume that I need to prove that each partial derivative = -1, thus -1*-1*-1=-1

Don't want you guys to simply give me the answer but any tips on where to start would be greatly appreciated =D
 
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  • #2
Try a simple example. Say, x+2y+3z=0. You can then solve for f, g and h explicitly and show your product is (-1). And you'll also see that not all of the partials need to be (-1). That should be a good hint to start.
 
  • #3
Thanks for the reply.
That worked...but how can I solve for all cases?
 
  • #4
I tried ax+by+cz=0 and solved it and ended up with -1...but this still doesn't solve it for all cases does it?
 
  • #5
KingBigness said:
I tried ax+by+cz=0 and solved it and ended up with -1...but this still doesn't solve it for all cases does it?

It sort of does. Since F is differentiable and invertible it can be approximated by a linear function well enough. If you want to be more formal then use the chain rule (read all of the following d's as partial derivatives). E.g. let's try finding dx/dy in terms of F. When you are taking a partial derivative you need to specify what variable is being held constant. In this case it must be z. Now the chain rule for partial derivatives tells you (dF/dx)*(dx/dy)+(dF/dy)*(dy/dy)+(dF/dz)*(dz/dy)=0, right? If you hold z constant, can you solve that for dx/dy in terms of partial derivatives of F? Repeat that for dz/dx and dy/dz and multiply the results together.
 
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  • #6
Thank you so much for that.
I had tried using the chain rule, but I mixed it up =( I only started teaching myself partial derivatives 2 days ago so I'll give my self a break for stuffing up =P

Thank you again, I'll give that a shot and see how it goes
 
  • #7
KingBigness said:
Thank you so much for that.
I had tried using the chain rule, but I mixed it up =( I only started teaching myself partial derivatives 2 days ago so I'll give my self a break for stuffing up =P

Thank you again, I'll give that a shot and see how it goes

That's ok. This one is a little subtle. I had to ponder it a while.
 
  • #8
haha I'm glad you had trouble with it to, makes me feel less dumb =P
 

FAQ: Implicit Differentiation of Multivariable Functions

What is the definition of a partial derivative?

A partial derivative is a mathematical concept used to calculate the rate of change of a function with respect to one of its independent variables, while holding all other variables constant.

How is a partial derivative different from a regular derivative?

A regular derivative considers the rate of change of a function with respect to one variable, while a partial derivative considers the rate of change with respect to one variable while holding all other variables constant.

Can you provide an example of a partial derivative?

For example, if we have a function f(x,y) = x^2 + 2xy + y^2, the partial derivative with respect to x would be 2x + 2y, while the partial derivative with respect to y would be 2x + 2y.

What is the purpose of finding partial derivatives?

Finding partial derivatives allows us to calculate the slope of a function in a specific direction, which is useful in many applications such as optimization and physics.

What is the process for proving a partial derivative?

The process for proving a partial derivative involves taking the limit of a difference quotient, where the numerator is the change in the function and the denominator is the change in the independent variable. The result of this limit is the partial derivative.

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