Partial Derivative: Difference & Chain Rule

In summary, the difference between ##\frac{df}{dt}## and ##\frac{\partial f}{\partial t}## is that the former is the derivative of a function with respect to its single independent variable, while the latter is the partial derivative of a function with respect to one of its arguments, when the function depends on multiple variables. The relationship between the two is given by the chain rule, where the partial derivative is equal to the derivative of the function with respect to the second argument plus the product of the partial derivative with respect to the first argument and the derivative of the first argument with respect to the independent variable.
  • #1
Niles
1,866
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Homework Statement


Hi

Say I have a function [itex]f(x(t), t)[/itex]. I am not 100% sure of the difference between
[tex]
\frac{df}{dt}
[/tex]
and
[tex]
\frac{\partial f}{\partial t}
[/tex]
Is it correct that the relation between these two is (from the chain rule)
[tex]
\frac{df}{dt} = \frac{\partial f}{\partial t} + \frac{\partial f}{\partial x}\frac{dx}{dt}
[/tex]
 
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  • #2
Niles said:

Homework Statement


Hi

Say I have a function [itex]f(x(t), t)[/itex]. I am not 100% sure of the difference between
[tex]
\frac{df}{dt}
[/tex]
and
[tex]
\frac{\partial f}{\partial t}
[/tex]
Is it correct that the relation between these two is (from the chain rule)
[tex]
\frac{df}{dt} = \frac{\partial f}{\partial t} + \frac{\partial f}{\partial x}\frac{dx}{dt}
[/tex]

It is easy to be confused by the ambiguity of ##\frac{\partial f}{\partial t}## symbol. If you write the expression instead as ##f(u,v)## where ##u = x(t),~v=t## you would write$$
\frac{df}{dt} = f_u\frac {du}{dt} + f_v\frac{dv}{dt}=f_u\frac{dx}{dt}+f_v\cdot 1$$You wouldn't normally talk about ##\frac{\partial f}{\partial t}## as though ##f## depended on another variable also. But as the chain rule gives, you need the partials of ##f## with respect to each of its arguments. If you understand that ##\frac{\partial f}{\partial x}## and ##\frac{\partial f}{\partial t}## in this setting mean the partials of ##f## with respect to its first and second arguments, you should be OK.
 

FAQ: Partial Derivative: Difference & Chain Rule

1. What is a partial derivative?

A partial derivative is a mathematical concept used to measure how a particular dependent variable changes in response to changes in one or more independent variables. It is a fundamental tool in multivariate calculus and is used extensively in fields such as physics, engineering, economics, and statistics.

2. How is a partial derivative different from a regular derivative?

A regular derivative measures the rate of change of a single variable with respect to another variable. In contrast, a partial derivative measures the rate of change of a function with respect to only one of its independent variables, while holding all other variables constant.

3. What is the difference rule for partial derivatives?

The difference rule for partial derivatives states that the partial derivative of the difference of two functions is equal to the difference of their individual partial derivatives. Mathematically, it can be written as:
∂(f-g)/∂x = ∂f/∂x - ∂g/∂x

4. How do you use the chain rule for partial derivatives?

The chain rule for partial derivatives is used to find the partial derivative of a composite function, where one or more of the variables is a function of another variable. It can be written as:
∂(f(g(x)))/∂x = (∂f/∂g) * (∂g/∂x)

5. What are some real-world applications of partial derivatives?

Partial derivatives have many applications in various fields including physics, economics, and engineering. They are used to analyze the rates of change of physical quantities such as velocity and acceleration, to optimize functions in economics and finance, and to model and predict the behavior of systems in engineering.

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