Partial Differentials Identity

In summary, the conversation discusses how to prove that if a function z=z(x,y) is invertible, then (dz/dx)(dy/dz)(dx/dy)=-1. The conversation delves into the use of partial and total derivatives, and suggests starting with the total differential and making assumptions about the invertibility of the function."
  • #1
sebb1e
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0

Homework Statement



Prove that if z=z(x,y) is invertible that:

(dz/dx)(dy/dz)(dx/dy)=-1 where the d's represent partial differentiation not total differentiation



Homework Equations





The Attempt at a Solution



I guess you start with the 6 total derivatives and substitute them into each other in someway. Beyond this I have no idea.
 
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  • #2
so what is the definition of invertible here?
 
  • #3
I think that you can write it as x=x(y,z) and y=y(x,z)?
 
  • #4
try starting with the total differential
[tex] dz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y} dy[/tex]
 
  • #5
I've reduced it to:

dz=2(dz/dx)(dx/dy)(dy/dz)dz+((dz/dy)(dy/dz)+(dy/dx)(dx/dy))dz

So I need to show that (dz/dy)(dy/dz)+(dy/dx)(dx/dy)=2 where the d's are partial derivatives. If total derivatives this is obvious, am I missing something obvious here?

Also, is using this differential notation perfectly rigorous, I was expecting to have to do it using total derivatives or does that just create a lot more work.
 
  • #6
so try 2 differentials
[tex] dz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y} dy[/tex]
[tex] dx = \frac{\partial x}{\partial z}dz + \frac{\partial x}{\partial y} dy[/tex]

now try subtstituting in for dx

you'll have to make some assumptions (may need to prove) but due to the invertibility you're probably safe to assume
[tex] \frac{\partial z}{\partial x} = \frac{1}{\frac{\partial x}{\partial z}}[/tex]

though i must say I haven't dealt with a function specifically defined as invertible like this

as for the differential v total derivatives, they can be derived from each other
http://en.wikipedia.org/wiki/Total_derivative
 

FAQ: Partial Differentials Identity

What is a Partial Differential Identity?

A Partial Differential Identity is an equation that expresses a relationship between multiple variables and their partial derivatives. It is used to describe the behavior of a system or process in terms of how its variables change over time or space.

How is a Partial Differential Identity different from a regular Differential Identity?

A regular Differential Identity involves only one independent variable, while a Partial Differential Identity involves multiple independent variables and their partial derivatives. This allows for a more complex understanding of the relationships between variables in a system.

What are some common applications of Partial Differential Identities?

Partial Differential Identities are commonly used in fields such as physics, engineering, and economics to model and understand complex systems. They can be used to describe the behavior of fluids, heat transfer, and financial markets, among other things.

Are there different types of Partial Differential Identities?

Yes, there are several types of Partial Differential Identities, including linear and nonlinear, homogeneous and non-homogeneous, and first-order and higher-order. The type of Partial Differential Identity used depends on the specific system being studied and the desired level of complexity.

How are Partial Differential Identities solved?

Solving a Partial Differential Identity involves finding a function that satisfies the equation and its boundary conditions. This can be done analytically using mathematical techniques such as separation of variables, or numerically using computer algorithms. The method used depends on the complexity of the equation and the availability of analytical solutions.

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