Why is dF expressed as ∇F · dr in scalar function analysis?

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Homework Help Overview

The discussion revolves around the expression of the differential of a scalar function F, specifically the notation dF = ∇F · dr. Participants are exploring the mathematical implications and interpretations of this expression within the context of multivariable calculus.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Some participants question the validity of using the expression dF = ∇F · dr, wondering if it relates to the Pythagorean theorem. Others provide definitions and identities related to the total derivative of a function of multiple variables.

Discussion Status

The discussion is active, with participants sharing interpretations and seeking clarity on the meaning of the differential dF. Some have offered insights into how infinitesimals can be understood in this context, while others express skepticism about the relevance of adding changes in different coordinate directions.

Contextual Notes

There appears to be some confusion regarding the nature of dF, particularly in distinguishing it from vector quantities and its representation as a scalar change in the function F. Participants are also considering the implications of continuity and well-definedness of functions in relation to infinitesimal changes.

aaaa202
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My teacher often writes for a scalar function F:

dF = [itex]\nabla[/itex]F [itex]\bullet[/itex] dr

Why is it you are allowed to do this. Shouldn't you use the pythagorean theorem?
 
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aaaa202 said:
My teacher often writes for a scalar function F:

dF = [itex]\nabla[/itex]F [itex]\bullet[/itex] dr

Why is it you are allowed to do this. Shouldn't you use the pythagorean theorem?

Hi aaaa202! :smile:

It's an identity that follows from the definition of the derivative of a function of multiple coordinates.
Consider that the total derivative is:
$$dF = {\partial F \over \partial x}dx + {\partial F \over \partial y}dy + {\partial F \over \partial z}dz$$
And the right hand side is:
$$\nabla F \cdot d\mathbf{r} = \begin{bmatrix}{\partial F \over \partial x}\\{\partial F \over \partial y}\\{\partial F \over \partial x}\end{bmatrix} \cdot \begin{bmatrix}dx\\dy\\dz\end{bmatrix} = {\partial F \over \partial x}dx + {\partial F \over \partial y}dy + {\partial F \over \partial z}dz$$

I guess you could say that he pythagorean theorem is not involved because any application of it cancels left and right in the identity.
 
hmm yes I kinda got this already, but I'm just unsure how to interpret the term:

dF = dF/dx * dx + dF/dy * dy + dF/dz *dz

What does this infinitesimal bit of represent? Surely its not a vector, since the result is a scalar. Surely it can't be an infinitesimal part of its length either, since dF =√(dFx^2 + dFy^2 + dFz^2)
So what does it mean this dF?
 
aaaa202 said:
hmm yes I kinda got this already, but I'm just unsure how to interpret the term:

dF = dF/dx * dx + dF/dy * dy + dF/dz *dz

What does this infinitesimal bit of represent? Surely its not a vector, since the result is a scalar. Surely it can't be an infinitesimal part of its length either, since dF =√(dFx^2 + dFy^2 + dFz^2)
So what does it mean this dF?

You can interpret infinitesimals as small delta's.

dF is the change in F(x,y,z) if you change the coordinates by (dx,dy,dz) to F(x+dx,y+dy,z+dz).
You can write this as: dF=F(x+dx,y+dy,z+dz)-F(x,y,z).
This is the (scalar) difference in F between 2 points in space.
As such dF =√(dFx^2 + dFy^2 + dFz^2) does not apply, since it is not a vector.
 
Okay yes, but I just don't find the idea of adding up the changes of the function in respectfully the x-, y- and x- direction very interesting.
So far I've seen it used, but rather length has been used (or maybe I'm wrong) - for instance in continuity considerations you require that f(x,y) is well defined inside the cirfumference of an infinitesimal circle.
 

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