What is the second mixed partial derivative of df/dx= 3-3(x^2)?

In summary, the partial derivative d^2f/dydx is equal to 0 since x is held constant and the function does not depend on y, making the derivative of it with respect to y also equal to 0.
  • #1
fk378
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Homework Statement


Given the partial derivative df/dx= 3-3(x^2)

what is d^2f/dydx?

I'm not sure if the answer would be 0, since x is held constant, or if it would remain 3-3(x^2) (since df/dx is a function of x now?)
 
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  • #2
The answer is one of those choices. Here, think about it like this:

You are given a function:

[tex]g(x)=3-3x^2[/tex]

You want to find: [tex]\frac{\partial g}{\partial y}[/tex]

What is that derivative? Now, what if: [tex]g(x)=\frac{\partial f}{\partial x}[/tex]

Does this change the partial derivative of g with respect to y?
 
  • #3
You were right the first time. With x held constant the d/dy is just differentiating a constant. It's 0.
 
  • #4
As is always true, with "nice" functions, the two mixed derivatives are equal. You could find [itex]\partial^2 f/\partial x\partial y[/itex] by differentiating first with respect to x, then with respect to y: first getting -6x and then, since it does not depend on y, 0. Or you could differentiate first with respect to y, then with respect to x: getting 0 immediately and then, of course, the derivative of "0" with respect o x is 0.

I, and I suspect many who read your post, was momentarily taken aback since I thought you were "holding x constant" through both derivatives. But you are correct: since this function does not depend on y, any derivative of it with respect to y, is 0.
 

FAQ: What is the second mixed partial derivative of df/dx= 3-3(x^2)?

What is a partial derivative?

A partial derivative is a mathematical concept used in multivariate calculus to measure the rate of change of a function with respect to one of its variables while holding all other variables constant. It is denoted by ∂ and is often used to analyze how small changes in one variable affect the overall behavior of a function.

How is a partial derivative different from a regular derivative?

A partial derivative differs from a regular derivative in that it measures the change in a function with respect to only one variable, while a regular derivative measures the change with respect to the function's independent variable. This means that when taking a partial derivative, all other variables are treated as constants, whereas in a regular derivative, all variables are allowed to vary.

What is the purpose of calculating a partial derivative?

The main purpose of calculating a partial derivative is to understand how a function behaves when only one of its variables is changing. This can be useful in many fields of science, such as physics and economics, where understanding how a change in one variable affects the overall system is crucial.

Can a function have multiple partial derivatives?

Yes, a function can have multiple partial derivatives, as there can be multiple independent variables in a multivariate function. Each partial derivative measures the rate of change of the function with respect to one of its variables while holding all other variables constant.

How can partial derivatives be applied in real-world situations?

Partial derivatives have many real-world applications, such as in physics to analyze the behavior of a system with multiple variables, in economics to understand how changes in one variable affect the overall market, and in engineering to optimize designs and processes. They are also used in machine learning and data analysis to measure the impact of different variables on a given outcome.

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