Basic partial differentiation help (needs checking)

In summary, when dealing with equations like z=f(x^2-y^2), the chain rule must be used to calculate the partial differentiations. This involves substituting u=x^2-y^2 and using f'(u)u_x to find the desired result. Wolframalpha can be a helpful tool in this process.
  • #1
niekehecv
5
0

Homework Statement


given z=yf(x^2-y^2)
show that the x(∂z/∂y)+y(∂z/∂x)=xz/y






The Attempt at a Solution



cut it short, my
∂z/∂y= f(x^2-y^2)-2(y^2)f(x^2-y^2)
∂z/∂x=2xyf(x^2-y^2)

i was able to prove that
x(∂z/∂y)+y(∂z/∂x)=xz/y

But i need help with partial differentiations when they give an equation like z=f(x^2-y^2)
I've read about partially differentiating such equations somewhere before. Can someone please check if i am doing it right? Also, what is this kind of partial differentiation called? (such as partially differentiating z=f(x^2-y^2)
I would really appreciate if someone could tell me what is it called so i could read up more about it and do more examples of this kind.
 
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  • #2
When you have something like ##z=f(x^2-y^2)## you need to use the chain rule. The easiest way to see this is to look at as ##z = f(u),\ u=x^2-y^2## Now if you want to calculate ##z_x## you use$$
z_x = f'(u)u_x = f'(x^2-y^2)(-2x)$$You are missing the primes in your argument.
 
  • #3

FAQ: Basic partial differentiation help (needs checking)

What is partial differentiation?

Partial differentiation is a mathematical process used to find the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is often used in multivariable calculus to solve optimization problems and analyze the behavior of functions.

What is the difference between partial differentiation and ordinary differentiation?

The main difference between partial differentiation and ordinary differentiation is that in partial differentiation, we are only considering the change in one variable while holding all others constant, whereas in ordinary differentiation, we are considering the change in the entire function with respect to one variable.

Why is partial differentiation important?

Partial differentiation is important because it allows us to analyze how a function changes in different directions, while keeping other variables constant. This is useful in many fields, such as physics, engineering, economics, and statistics, where functions often depend on multiple variables.

How do you perform partial differentiation?

To perform partial differentiation, we follow a similar process to ordinary differentiation. We take the derivative of the function with respect to the variable we are interested in, treating all other variables as constants. This results in a partial derivative, which represents the rate of change of the function in the specified direction.

What are some applications of partial differentiation?

Partial differentiation has many applications in the fields of science, technology, and economics. It is used to optimize functions in calculus, analyze the behavior of systems in physics and engineering, and model relationships between variables in statistics and economics. It is also used in computer science and machine learning to optimize algorithms and analyze data.

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