Undergrad Symbol used in total differential and small errors

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The discussion clarifies the correct notation and formulas related to total differentials and small errors in calculus. The correct expression for the total differential is dz = ∂f/∂x * dx + ∂f/∂y * dy, not the initially stated dz = ∂f/∂x * dz + ∂f/∂y * dy. It emphasizes that ∂f alone is not meaningful in this context; instead, df should be used to approximate changes in function values. Additionally, the actual change in f is represented as Δf, which is approximately equal to the sum of the partial derivatives multiplied by their respective changes. The thread ultimately corrects misunderstandings about the definitions and symbols used in these mathematical concepts.
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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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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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.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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