Second order mixed derivative and chain rule

In summary, the conversation discusses finding the second order derivative for a function f(x,y) with dependencies on x and y, and x and y being dependent on u and v. The process involves using the chain rule and results in a final expression with multiple partial derivatives of f with respect to x and y, as well as the partial derivatives of x and y with respect to u and v. A correction was made regarding a typo in the last line of the solution.
  • #1
Telemachus
835
30
I want to find the second order derivative for [tex]f(x,y),x(u,v),y(u,v)[/tex], f depends on x and y, and x and y depends on u and v. I'm trying to find [tex]\frac{{\partial^2 f}}{{\partial v \partial u}}[/tex]This is what I did:
[tex]\frac{{\partial f}}{{\partial u}}=\frac{{\partial f}}{{\partial x}}\frac{{\partial x}}{{\partial u}}+\frac{{\partial f}}{{\partial y}}\frac{{\partial y}}{{\partial u}}[/tex]

Then:
[tex]\frac{{\partial^2 f}}{{\partial v \partial u}}=\frac{{\partial}}{{\partial v}} \left (\frac{{\partial f}}{{\partial x}}\frac{{\partial x}}{{\partial u}}\right )+\frac{{\partial}}{{\partial v}} \left (\frac{{\partial f}}{{\partial y}}\frac{{\partial y}}{{\partial u}}\right )[/tex]

Finally what I get:

[tex]\displaystyle\frac{{\partial^2 f}}{{\partial v \partial u}}=\frac{{\partial^2 f}}{{\partial x^2}}\frac{{\partial x}}{{\partial v}}\frac{{\partial x}}{{\partial u}}+\frac{{\partial^2 f}}{{\partial y \partial x}} \frac{{\partial y}}{{\partial v}}\frac{{\partial x}}{{\partial u}}+\frac{{\partial f}}{{\partial x}}\frac{{\partial^2 x}}{{\partial v \partial u}}+\frac{{\partial^2 f}}{{\partial x \partial y}}\frac{{\partial x}}{{\partial v}}\frac{{\partial y}}{{\partial v}}+\frac{{\partial^2 f}}{{\partial y^2}}(\frac{{\partial y}}{{\partial v}})^2+\frac{{\partial f}}{{\partial y}}\frac{{\partial^2 y}}{{\partial v^2}}[/tex]

Anyone knows if this is right?
 
Last edited:
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  • #2
In the last three terms of the last line, you appear to have changed ∂y/∂u to ∂y/∂v .
 
  • #3
Thank you SammyS, I knew something was wrong :D
 

Related to Second order mixed derivative and chain rule

What is a second order mixed derivative?

A second order mixed derivative is a mathematical concept that involves taking the derivative of a function twice with respect to two different variables. It is also known as a partial derivative of a partial derivative.

What is the chain rule?

The chain rule is a fundamental rule in calculus that allows us to find the derivative of a composite function. It states that the derivative of a composite function is equal to the product of the derivatives of the outer and inner functions.

How do you use the chain rule to find the second order mixed derivative?

To use the chain rule to find the second order mixed derivative, we first take the derivative of the outer function with respect to one variable, then take the derivative of the inner function with respect to the other variable, and finally take the derivative of the resulting expression with respect to the original variable.

What is the difference between a first order and a second order mixed derivative?

A first order mixed derivative involves taking the derivative of a function with respect to two different variables, while a second order mixed derivative involves taking the derivative of a first order mixed derivative with respect to the original variable. In other words, it is taking the derivative of a derivative.

Why are second order mixed derivatives important in science?

Second order mixed derivatives are important in science because they allow us to better understand the relationships between different variables in a system. They can help us predict how a system will change over time and how different variables will affect each other. They are also used in solving problems in physics, engineering, and other scientific fields.

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