Deriving Relations for Partial Derivatives in a System of Four Variables

In summary, the conversation discusses four state variables and their relations in the context of a given function. The equations involve partial derivatives and provide hints for solving the problem. The equations are solved using the fact that the function equals zero and the definition of partial derivatives.
  • #1
fluidistic
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Homework Statement


Given 4 state variables x, y, z and w such that [itex]F(x,y,z)=0[/itex] and w depends on 2 of the other variables, show the following relations:
1)[itex]\left ( \frac{\partial x }{\partial y } \right ) _z = \frac{1}{\left ( \frac{\partial y }{\partial x } \right ) _z}[/itex]
2)[itex]\left ( \frac{\partial x }{\partial y } \right ) _z \left ( \frac{\partial y }{\partial z } \right ) _x \left ( \frac{\partial z }{\partial x } \right ) _y=-1[/itex]
3)[itex]\left ( \frac{\partial x }{\partial w } \right ) _z=\left ( \frac{\partial x }{\partial y } \right ) _z\left ( \frac{\partial y }{\partial w } \right ) _z[/itex]
4)[itex]\left ( \frac{\partial x }{\partial y } \right ) _z=\left ( \frac{\partial x }{\partial y } \right ) _w+\left ( \frac{\partial x }{\partial w } \right ) _y \left ( \frac{\partial w }{\partial y } \right ) _z[/itex]


Homework Equations


Hints: for 1) and 2) think about x as x(y,z) and then y=y(x,z)
For 3) choose x=x(x,z)
For 4) choose x=(y,w)

The Attempt at a Solution


Stuck on 1). I'd be tempted to consider differentials like numbers and that way 1) would be instantly "proven". However I do not see how to use the tips provided.
 
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  • #2
I assume (dx/dy)_z means derivative of x w.r.t. y when z is fixed.
since F=0, dF=F_x dx+F_y dy+F_z dz=0. When z is fixed, dz=0, so F_x dx=-F_y dy, etc.
 
  • #3
sunjin09 said:
I assume (dx/dy)_z means derivative of x w.r.t. y when z is fixed.
since F=0, dF=F_x dx+F_y dy+F_z dz=0. When z is fixed, dz=0, so F_x dx=-F_y dy, etc.
Thank you very much for this huge tip. Will be working on that problem and post if I'm stuck.
 

Related to Deriving Relations for Partial Derivatives in a System of Four Variables

What is a partial derivative?

A partial derivative is a mathematical concept used to measure the rate of change of a function in relation to a specific variable. It calculates the slope or steepness of a function at a particular point, while holding all other variables constant.

How is a partial derivative different from a regular derivative?

A partial derivative is different from a regular derivative because it measures the rate of change of a function with respect to one variable, while holding all other variables constant. A regular derivative, on the other hand, measures the overall rate of change of a function with respect to a single variable.

What is the purpose of calculating partial derivatives?

The purpose of calculating partial derivatives is to understand how changes in one variable affect the overall behavior of a function. It allows us to analyze and optimize multivariable functions in various fields such as physics, economics, and engineering.

What are the notations used for partial derivatives?

The most common notations used for partial derivatives are ∂f/∂x and fx, where x is the variable with respect to which the derivative is being calculated. Other notations include ∂xf and Dxf.

How do you calculate a partial derivative?

To calculate a partial derivative, you first need to identify the variable with respect to which the derivative is being taken. Then, you can use the standard rules of differentiation to find the derivative, treating all other variables as constants. It is important to keep in mind that when finding the partial derivative of a function, the resulting derivative will also be a function of the same variables.

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