Partial Derivative Homework: Calculate ∂f/∂x

In summary, the conversation discusses the calculation of ∂f/∂x for a given function f(x,y,t) and the confusion surrounding the answer that treats x,y,t as independent variables. The total derivative is also mentioned as a way to take dependencies into account.
  • #1
dyn
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Homework Statement


The question asks to calculate ∂f/∂x for f(x,y,t) = 3x2 + 2xy + y1/2t -5xt where x(t) = t3 and y(t) = 2t5

Homework Equations


The answer is given as ∂f/∂x = 6x + 2y - 5t

The Attempt at a Solution


I'm confused because the answer given seems to treat x,y ,t as independent variables and the answer given is just a partial derivative treating y and t as constant. But really x,y.t are all dependent on each other. Is it even possible to obtain a partial derivative with respect to x in this case ?
 
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  • #2
The information that x(t) = t3 and y(t) = 2t5 is a red herring. When taking a partial derivative of f with respect to x, we look only at the explicit, direct role of x in the formula for f(x,y,t). We ignore any dependencies, and that leads to the quoted result. If we want to take dependencies into account, we take a total derivative, which is written ##\frac{df}{dx}##, rather than the partial derivative ##\frac{\partial f}{\partial x}##.

The Insight article on partial derivatives gives more background on partial derivatives, and the nature of these distinctions.
 
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  • #3
Thanks. And would I be correct that the total derivative is
df/dx = ∂f/∂t + (∂f/∂x)dx/dt + (∂f/∂y)dy/dt ?
 
  • #4
dyn said:
Thanks. And would I be correct that the total derivative is
df/dx = ∂f/∂t + (∂f/∂x)dx/dt + (∂f/∂y)dy/dt ?
That's the formula for the total derivative with respect to t.
The total derivative wrt x uses the same formula, but swaps the role of t and x on the RHS, giving
$$\frac{df}{dx} = \frac{\partial f}{\partial x} + \frac{\partial f}{\partial t} \frac{d t}{dx}
+ \frac{\partial f}{\partial y} \frac{dy}{dx}$$
 
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  • #5
Thanks for your help
 

1. What does "partial derivative" mean?

A partial derivative is a mathematical concept that is used to calculate the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is denoted by ∂ (the partial derivative symbol) and the variable with respect to which the derivative is being calculated. For example, ∂f/∂x would represent the partial derivative of the function f with respect to the variable x.

2. Why is it important to calculate partial derivatives?

Partial derivatives are important because they allow us to analyze how a function changes in response to changes in its variables. This is especially useful in fields such as physics, economics, and engineering, where many real-world problems can be modeled using mathematical functions and their derivatives.

3. How do I calculate a partial derivative?

To calculate a partial derivative, you need to follow a specific process. First, you need to identify the function and the variable with respect to which the derivative is being calculated. Then, you treat all other variables as constants and use basic rules of differentiation (such as the power rule or chain rule) to calculate the derivative. It is important to pay attention to the order of differentiation, as changing the order can result in a different derivative.

4. What does ∂f/∂x represent?

∂f/∂x represents the partial derivative of the function f with respect to the variable x. This means that it shows how f changes when x changes, while holding all other variables constant. It is important to note that ∂f/∂x is not a fraction, but rather a notation that represents a specific mathematical concept.

5. Can I use partial derivatives in every function?

Yes, you can use partial derivatives in any function that has multiple variables. However, some functions may be more complex and require more advanced techniques to calculate partial derivatives. It is important to have a good understanding of basic rules of differentiation before attempting to calculate partial derivatives in more complex functions.

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