Finding an equation of Partial Derivatives

In summary, the homework statement is saying that if f(x,y,z) is zero, then you can think of z as a function of x and y, or z(x,y). y can also be thought of as a function of x and z, or y(z,x). Therefore, the homework equations are saying that dz is equal to the partial derivatives of z with respect to x, y, and z, respectively.
  • #1
sardonic
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Homework Statement



If f(x,y,z) = 0, then you can think of z as a function of x and y, or z(x,y). y can also be thought of as a function of x and z, or y(z,x)
Therefore:

[tex] dz= \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y} dy [/tex]
and
[tex] dy= \frac{\partial y}{\partial x}dx + \frac{\partial y}{\partial z} dz [/tex]

Show that
[tex] 1= \frac{\partial z}{\partial y} \frac{\partial y}{\partial z} [/tex]
and then
[tex] -1= \frac{\partial x}{\partial z} \frac{\partial y}{\partial x}\frac{\partial z}{\partial y} [/tex]

Homework Equations



The Attempt at a Solution


Substituting [itex] dy [/itex] into the [itex] dz [/itex] equation you get
[tex] dz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y} \frac{\partial y}{\partial x}dx + \frac{\partial y}{\partial z}\frac{\partial z}{\partial y}dz [/tex]

This can be rearranged to show
[tex] dz (1-\frac{\partial z}{\partial y}\frac{\partial y}{\partial z}) = dx(\frac{\partial z}{\partial x}+\frac{\partial z}{\partial y}\frac{\partial y}{\partial x}) [/tex]
and then
[tex](1-\frac{\partial z}{\partial y}\frac{\partial y}{\partial z}) = \frac{dx}{dz}(\frac{\partial z}{\partial x}+\frac{\partial z}{\partial y}\frac{\partial y}{\partial x}) [/tex]

In order to show that [itex]\frac{\partial z}{\partial y}\frac{\partial y}{\partial z} = 1 [/itex], I only need to show that [itex] (\frac{\partial z}{\partial x}+\frac{\partial z}{\partial y}\frac{\partial y}{\partial x})=0 [/itex], but I'm not sure how to do that. As for the second equation, I'm not sure where to get a [itex] \frac{\partial x}{\partial z} [/itex] into the equation in the first place.
 
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  • #3
Thanks for the reply!

What do [itex] f_y [/itex] and [itex] f_z [/itex] refer to?
 
  • #4
These are the partial derivatives of f with respect to y and z,respectivly.
 
  • #5
Oh okay, thing is, that's the way the instructor did it, while we were asked to derive expressions for the total differential for dz and dy, then substitute the latter into the former, sorry if I wasn't clear. Thanks though!
 
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Related to Finding an equation of Partial Derivatives

1. What is the purpose of finding an equation of Partial Derivatives?

The purpose of finding an equation of Partial Derivatives is to determine the rate of change of a multi-variable function with respect to each of its variables. This allows us to understand how small changes in the independent variables affect the dependent variable.

2. How do you find the partial derivative of a function?

To find the partial derivative of a function, you first need to identify the variable that you are taking the derivative with respect to. Then, treat all other variables as constants and use the standard rules of differentiation to find the derivative of the function. Repeat this process for each variable in the function.

3. What is the difference between a partial derivative and a total derivative?

A partial derivative measures the rate of change of a function with respect to one of its variables, while holding all other variables constant. A total derivative, on the other hand, measures the overall rate of change of a function with respect to all of its variables, including any changes in the independent variables themselves.

4. Can a partial derivative be negative?

Yes, a partial derivative can be negative. This indicates that the function is decreasing in the direction of that particular variable. It is important to consider the signs of all partial derivatives in order to fully understand the behavior of a multi-variable function.

5. How can I use partial derivatives in real-life applications?

Partial derivatives have many real-life applications, such as in economics, physics, and engineering. They can be used to analyze the impact of changing variables on certain outcomes, optimize systems and processes, and make predictions about future behavior. For example, partial derivatives are used in economics to analyze the relationship between multiple factors, such as supply and demand, and their effect on market equilibrium.

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