Difference of total derivative and partial derivative

In summary, when doing problem, when should i use total derivative and when should i use partial derivative. Such a difference is detrimental when doing Physics problem, so i help someone can help me explain the meaning of these two derivatives. Depending upon the problem, total derivative or partial derivative will be more appropriate. For a problem that depends only on a volume, such as ideal gas pressure, total derivative is required. However, for problems that depend on other variables as well, such as in mechanics, total differential is replaced by the "total derivative" which is simply the rate of change of the function with respect to one variable.
  • #1
mikengan
4
0
many books only tell the operation of total derivative and partial derivative,

so i now confuse the application of these two.

when doing problem, when should i use total derivative and when should i use partial derivative.
such a difference is detrimental when doing Physics problem, so i help someone can help me explain the meaning of these two derivatives.
 
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  • #2
It depends upon the problem. Please provide an example so that I can explain it better. However refer below for a little help:-

Q.1) Find the rate of change of ideal gas pressure with respect to volume?
Soln:
P=nRT/V
We require rate of change of pressure only with respect to volume, hence we're going to ignore the other parameters like temp., moles, and treat them as constants. Then comes partial differentiation.
(∂P/∂V)=(-nRT)/(V^2)

Q. 2) Calculate the differential change in ideal gas pressure?
Soln:
Now total differential is required.
dP=(nR/V)dT + (RT/V)dn - (nRT/V^2)dV
 
  • #3
Let [itex]f[/itex] be function of three independent variables: [itex]f=f(x,y,z)[/itex]. Partial derivative with respect to one of them is just rate of change of [itex]f[/itex] with respect to that variable.
As an example, take our function to be potential energy which depends only on a position of a particle: [itex]V=V(x,y,z)[/itex]. If you wanted to know by how much potential energy of your particle changes if you move it just a tiny little bit along the x axis, you would compute [itex]\frac{\partial V}{\partial x} \Delta x[/itex]. Since we decided that V only depends on position, we also have [itex]\frac{\partial V}{\partial t}=0[/itex], because if you changed [itex]t[/itex] a little bit and !held other variables fixed!, nothing would change. That's what we mean when we say that [itex]V[/itex] doesn't depend on time explicitly.
Now, if we are solving problem in mechanics, let's say, the coordinates [itex]x,y,z[/itex] will in fact be functions of [itex]t[/itex], and finding them will often be your task. Now you can, in a way think of [itex]V[/itex] as implicit function of t. What does it mean? Since coordinates [itex]x,y,z[/itex] are functions of time, you can "plug them into" [itex]V[/itex] function, and get that [itex]V(t)=V(x(t),y(t),z(t))[/itex]. Now as time goes by in mechanical system, the particle moves and the coordinates change. If we now treat [itex]V[/itex] as a function of single variable [itex]t[/itex] in a way I presented, we can compute ordinary derivative known from calculus 1. It is radically different object though - we are not assuming that other variables are held fixed now! That is what some people would call "total derivative" with respect to time.
 
  • #4
Are you sure the phrase is "total derivative" rather than "total differential"? I think the term "total differential is more common than "total derivative" although I have seen the latter used occasionally (with a meaning different from "total derivative").

If f(x, y, z) is a function of the three variables, x, y, and z, then the partial derivatives are, of course, [itex]\frac{\partial f}{\partial x}[/itex], [itex]\frac{\partial f}{\partial y}[/itex], and [itex]\frac{\partial f}{\partial z}[/itex]. If, in addition, x, y, and z are themselves all functions of some other variable, t, we could replace each of x, y, and z with its expression as a function of t, reducing f to a function of the single variable t, which then has derivative [itex]\frac{df}{dt}[/itex].

By the "chain rule" for several variables we have
[tex]\frac{df}{dt}= \frac{\partial f}{\partial x}\frac{dx}{dt}+ \frac{\partial f}{\partial y}\frac{dy}{dt}+ \frac{\partial f}{\partial z}\frac{dz}{dt}[/tex]

That is what is called the "total derivative" though, as I said, the "total differential", which would be
[tex]df= \frac{\partial f}{\partial x}dx+ \frac{\partial f}{\partial y}dy+ \frac{\partial f}{\partial z}dz[/tex]
is more often used. Notice that there is no dependence on an additional variable, t, so this is much more general.
 

1. What is the definition of total derivative?

The total derivative of a function is the instantaneous rate of change of the function with respect to all of its variables. It takes into account the effects of changes in all independent variables on the dependent variable.

2. What is the difference between total derivative and partial derivative?

The main difference between total derivative and partial derivative is that total derivative considers the effect of changes in all independent variables on the dependent variable, while partial derivative only considers the effect of changes in one independent variable while holding others constant.

3. When is it appropriate to use total derivative instead of partial derivative?

Total derivative is generally used in cases where the function depends on multiple variables and all of them are changing simultaneously. In such cases, partial derivatives cannot accurately capture the overall rate of change of the function.

4. How are total derivative and partial derivative calculated?

The total derivative can be calculated using the chain rule, which involves finding the partial derivatives of the function with respect to each independent variable and multiplying them by the corresponding rate of change. On the other hand, a partial derivative is calculated by treating all other variables as constants and differentiating the function with respect to the variable of interest.

5. What real-life applications use total and partial derivatives?

Total and partial derivatives are widely used in many fields of science, including physics, economics, and engineering. They are particularly useful in optimization problems, where the goal is to find the maximum or minimum value of a function. Other applications include analyzing the rate of change in physical systems, such as velocity and acceleration, and modeling complex systems, such as population growth and market demand.

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