Finding the Variables for f(x,y)=e^{xy}

  • Thread starter Unredeemed
  • Start date
  • Tags
    Variables
In summary, the conversation discusses finding the values of partial derivatives of a multi-variable function at a specific point. The chain rule for multi-variable functions and the inverse rule for derivatives are mentioned, along with the use of the Jacobian matrix. The final solution involves using the Jacobian matrix to find the partial derivatives at the given point.
  • #1
Unredeemed
120
0

Homework Statement



Let f(x,y)=[itex]e^{xy}[/itex]

Variables u and v are defined by u=[itex]x^{3}[/itex]-[itex]y^{3}[/itex] , v=[itex]x^{2}+xy[/itex]

Find the values of [itex]\delta[/itex]f/[itex]\delta[/itex]u and [itex]\delta[/itex]f/[itex]\delta[/itex]v at the point where x=-1 and y=2

Homework Equations



N/A

The Attempt at a Solution



At first I thought that I'd have to write x and y in terms of u and v. So, I started by factorising using the difference of two cubes for u and then just taking out a factor of x for v. However, I pretty much hit a brick wall there.

And, if I can't write x and y in terms of u and v, I can't see how I could find either [itex]\delta[/itex]f/[itex]\delta[/itex]u or [itex]\delta[/itex]f/[itex]\delta[/itex]v?
 
Physics news on Phys.org
  • #2


Unredeemed said:

Homework Statement



Let f(x,y)=[itex]e^{xy}[/itex]

Variables u and v are defined by u=[itex]x^{3}[/itex]-[itex]y^{3}[/itex] , v=[itex]x^{2}+xy[/itex]

Find the values of [itex]\delta[/itex]f/[itex]\delta[/itex]u and [itex]\delta[/itex]f/[itex]\delta[/itex]v at the point where x=-1 and y=2

Homework Equations



N/A

The Attempt at a Solution



At first I thought that I'd have to write x and y in terms of u and v. So, I started by factorising using the difference of two cubes for u and then just taking out a factor of x for v. However, I pretty much hit a brick wall there.

And, if I can't write x and y in terms of u and v, I can't see how I could find either [itex]\delta[/itex]f/[itex]\delta[/itex]u or [itex]\delta[/itex]f/[itex]\delta[/itex]v?

Hi Unredeemed! :smile:

Do you have the chain rule for multi variable functions in your notes?
That is:
$${\partial f \over \partial u} = {\partial f \over \partial x}{\partial x \over \partial u} + {\partial f \over \partial y}{\partial y \over \partial u}$$

Edit: Oopsie. The following does not hold. See next posts.
Oh, and are you also aware of the inverse rule for derivatives?
That is:
$${\partial u \over \partial x} = \frac 1 {\partial x \over \partial u}$$
 
Last edited:
  • #3


I like Serena said:
Hi Unredeemed! :smile:

Do you have the chain rule for multi variable functions in your notes?
That is:
$${\partial f \over \partial u} = {\partial f \over \partial x}{\partial x \over \partial u} + {\partial f \over \partial y}{\partial y \over \partial u}$$

Oh, and are you also aware of the inverse rule for derivatives?
That is:
$${\partial u \over \partial x} = \frac 1 {\partial x \over \partial u}$$

Your 'inverse rule' doesn't hold for partial derivatives. You need to invert the whole jacobian matrix to get the inverse derivatives.
 
  • #4


Dick said:
Your 'inverse rule' doesn't hold for partial derivatives. You need to invert the whole jacobian matrix to get the inverse derivatives.

Oopsie.
That's what I get for writing something as an afterthought.

@OP: Do you know what the Jacobian matrix is and how to use it?
 
Last edited:
  • #5


I like Serena said:
Hi Unredeemed! :smile:

Do you have the chain rule for multi variable functions in your notes?
That is:
$${\partial f \over \partial u} = {\partial f \over \partial x}{\partial x \over \partial u} + {\partial f \over \partial y}{\partial y \over \partial u}$$

Edit: Oopsie. The following does not hold. See next posts.
Oh, and are you also aware of the inverse rule for derivatives?
That is:
$${\partial u \over \partial x} = \frac 1 {\partial x \over \partial u}$$

I am aware of $${\partial f \over \partial u} = {\partial f \over \partial x}{\partial x \over \partial u} + {\partial f \over \partial y}{\partial y \over \partial u}$$

But, the issue with the "inverse rule" for partial derivatives led me to think it was unhelpful?

I have that if f(x,y)=F(u(x,y),v(x,y))

Then $$({\partial f \over \partial x} , {\partial f \over \partial y})= ({\partial F \over \partial u} , {\partial F \over \partial v}) . \begin{pmatrix} {\partial u \over \partial x} {\partial u \over \partial y}\\ {\partial v \over \partial x} , {\partial v \over \partial y}\end{pmatrix}$$

But, inverting the Jacobian matrix on the RHS only gives me $${\partial F \over \partial u} and {\partial F \over \partial v}$$ not $${\partial f \over \partial u} and {\partial f \over \partial v}$$ as required?
 
  • #6


Unredeemed said:
But, inverting the Jacobian matrix on the RHS only gives me $${\partial F \over \partial u} and {\partial F \over \partial v}$$ not $${\partial f \over \partial u} and {\partial f \over \partial v}$$ as required?

It's the same thing.
What you write is the proper way to write it.

The form ##{\partial f \over \partial u}## is short hand for ##{\partial F \over \partial u}##.
 
  • #7


I like Serena said:
It's the same thing.
What you write is the proper way to write it.

The form ##{\partial f \over \partial u}## is short hand for ##{\partial F \over \partial u}##.

Ah, I see. I'd wondered about that but didn't just want to assume it!

So I've said that $$({\partial f \over \partial x} , {\partial f \over \partial y}) . \begin{pmatrix} {\partial v \over \partial y} -{\partial u \over \partial y}\\ -{\partial v \over \partial x} , {\partial u \over \partial x}\end{pmatrix}= ({\partial f \over \partial u} , {\partial f \over \partial v})$$

Is that correct?
 
  • #8


Almost.
There is a determinant missing.
 
  • #9


Ah, good point!
 
  • #10


Think I've got the answer now. Fingers crossed an algebraic error hasn't eluded me!

Thanks very much for everyone's help. Probably would have been head-scratching for hours without it.
 
  • #11


Cheers.
 

FAQ: Finding the Variables for f(x,y)=e^{xy}

What is the purpose of finding the variables for f(x,y)=e^{xy}?

The purpose of finding the variables for this function is to determine the values of x and y that will produce the desired output. This can help us understand the behavior of the function and how it changes with different inputs.

How do you find the variables for f(x,y)=e^{xy}?

To find the variables for this function, we need to set up an equation with known values for f(x,y) and solve for x and y. We can also use graphs or tables to visualize the function and determine the variables.

Can there be multiple variables for f(x,y)=e^{xy}?

Yes, there can be multiple variables for this function. In fact, the function is defined for all real values of x and y, so there are infinite possible combinations of variables that can produce different outputs.

What is the relationship between the variables x and y in f(x,y)=e^{xy}?

The variables x and y in this function have an exponential relationship. This means that as one variable increases, the other also increases or decreases at an exponential rate.

How can finding the variables for f(x,y)=e^{xy} be useful in real-life applications?

Finding the variables for this function can be useful in many real-life applications, such as predicting population growth, analyzing financial data, or understanding the spread of diseases. By determining the variables, we can make informed decisions and predictions based on the behavior of the function.

Back
Top