Symbol used in total differential and small errors

In summary, the symbol used to represent total differential is ∂ (partial derivative). This symbol represents the change in a function due to small changes in its variables, and can be used for any kind of function, including multivariate functions. The difference between ∂ and Δ in total differential is that ∂ represents a small change in the function's variables, while Δ represents a finite change. In small errors, the symbol ∂ is used to denote the error in a function due to small changes in its variables.
  • #1
goggles31
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Mod note: Thread title changed from "Sign used in total differential and small errors" to "Symbol used in total differential and small errors"
My notes say that z=f(x,y) can be defined as the sum of the changes with respect to x,y respectively. The formula is:

dz = ∂f/∂x * dz + ∂f/∂y * dy

Whereas in small errors, the formula is:

deltaf = ∂f/∂x * deltax + ∂f/∂y * deltay

Shouldn't the sign used be ∂f since it is taken with respect to more than one variable?
 
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  • #2
goggles31 said:
My notes say that z=f(x,y) can be defined as the sum of the changes with respect to x,y respectively. The formula is:

dz = ∂f/∂x * dz + ∂f/∂y * dy
Both the text of your notes and the formula above are incorrect. "z = f(x, y)" is not defined as a sum. The differential of z, dz, is defined as a sum. The formula you wrote has a typo, and should be dz = ∂f/∂x * dx + ∂f/∂y * dy or df = ∂f/∂x * dx + ∂f/∂y * dy.
goggles31 said:
Whereas in small errors, the formula is:

deltaf = ∂f/∂x * deltax + ∂f/∂y * deltay

Shouldn't the sign used be ∂f since it is taken with respect to more than one variable?
No. The actual change in f is ##\Delta f##, which is only approximately equal to ##\frac{\partial f}{\partial x} \Delta x + \frac{\partial f}{\partial y} \Delta y##.

∂f by itself has no meaning here, but df does. In the calculation of error, you use df to approximate the actual change in function value, ##\Delta f##.

If you know ##\Delta x## and ##\Delta y##, then ##\Delta z \approx dz = \frac{\partial z}{\partial x} \Delta x + \frac{\partial z}{\partial y} \Delta y##.
 
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  • #3
goggles31 said:
Mod note: Thread title changed from "Sign used in total differential and small errors" to "Symbol used in total differential and small errors"
My notes say that z=f(x,y) can be defined as the sum of the changes with respect to x,y respectively.
Surely you meant to say that dz, not z, can be defined that way.
 

1. What is the symbol used to represent total differential?

The symbol used to represent total differential is ∂ (partial derivative).

2. How do you interpret the symbol used in total differential?

The symbol ∂ in total differential represents the change in a function due to small changes in its variables.

3. Can the symbol used in total differential be used for any kind of function?

Yes, the symbol ∂ can be used for any kind of function, including multivariate functions.

4. What is the difference between ∂ and Δ in total differential?

The symbol ∂ represents a small change in a function's variables, while Δ represents a finite change in the variables.

5. How is the symbol used in small errors related to total differential?

In small errors, the symbol ∂ is used to denote the error in a function due to small changes in its variables.

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