Is the gradient really just a first-order approximation?

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Discussion Overview

The discussion centers around the nature of the gradient in the context of differential calculus, specifically whether gradient expressions represent first-order approximations or exact differentials. Participants explore the implications of using gradients in various mathematical contexts, including differential forms and approximations.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant suggests that gradient expressions are first-order approximations of the differential dT, proposing that higher-order terms should be considered for more precise answers.
  • Another participant counters that the equation dT = (\nabla T) \cdot d\ell is exactly correct in the context of differential forms, distinguishing it from differential approximations.
  • A different viewpoint emphasizes that differential forms are not simply numerical values, and that first-order equations are exact within that framework.
  • Some participants clarify that dT is exactly equal to the sum of partial derivatives multiplied by their respective differentials, while suggesting that these expressions are first-order approximations of the change in T (∆T), not of dT itself.
  • There is a request for resources to understand the distinction between dT and ∆T, indicating some participants are unfamiliar with this difference.
  • One participant reiterates the need to correct their earlier statement to reflect that they should have referred to ∆T instead of dT in their approximation discussion.

Areas of Agreement / Disagreement

Participants express disagreement regarding whether gradient expressions can be considered first-order approximations or exact differentials. The discussion remains unresolved, with multiple competing views presented.

Contextual Notes

Participants highlight the distinction between dT as a differential form and ∆T as a finite difference, indicating a nuanced understanding of these concepts is necessary for clarity.

psholtz
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In physics texts, its customary to write (and even to define the gradient as) the following:

dT = (\nabla T) \cdot dl

Working in Cartesian coordinates, we can expand this as follows:

dT = \frac{\partial T}{\partial x} dx + \frac{\partial T}{\partial y} dy + \frac{\partial T}{\partial z}dz

But the above equation is really just a "first-order" approximation for the differential dT, is it not? Working just in the differential dx, a more "complete" way to write this expression would be:

dT \approx \frac{\partial T}{\partial x} dx + \frac{1}{2} \frac{\partial ^2T}{\partial x^2} (dx)^2 + \frac{1}{6} \frac{\partial ^3T}{\partial x^3} (dx)^3 + ...

along with the additional, commensurate expansions in terms of the y and z variables as well.

So while we can define equations in terms of gradient, and work with gradients, etc, is it fair to say that all these gradient expressions are really just giving us answers which are first-order approximations? And that if we desired more precise answers, we would have to delve deeper into the higher-order terms?
 
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Nope; <br /> dT = (\nabla T) \cdot d\ell<br /> is an exactly correct equation of differential forms.

You're thinking about differential approximation, which says <br /> \Delta T \approx (\nabla T) \cdot \Delta \ell<br />, or more explicitly,

T(\ell + v) - T(\ell) = \nabla_v T(\ell) + \frac{1}{2} \nabla_v \nabla_v T(\ell) + \cdots
 
You have to remember that differential forms are not numbers (or number-valued fields); they're differential forms. Their very definition is arranged so that these "first-order" equations are exactly correct. If you want to pass back into the world of "ordinary" mathematical objects, you have to use some sort of integral.

That said, people do often use expressions like dT when they really mean \Delta T.
 
They are first order approximations of ∆T, not of dT.

dT is exactly equal to \partial_{x}T dx + \partial_{y}T dy + \partial_{z}T dz
 
dx said:
They are first order approximations of ∆T, not of dT.

dT is exactly equal to \partial_{x}T dx + \partial_{y}T dy + \partial_{z}T dz

Where can I read up on the difference between dT and \Delta T?

I don't think I've ever (formally) encountered that distinction before..
 
So in my first equation above, what I should have written, should have been:

\Delta T \approx \frac{\partial T}{\partial x} \Delta x <br /> +\frac{1}{2}\frac{\partial^2 T}{\partial x^2}\Delta x^2 <br /> + \frac{1}{6} \frac{\partial^3 T}{\partial x^3} \Delta x^3 + ... <br />

Yes?
 
psholtz said:
So in my first equation above, what I should have written, should have been:

\Delta T \approx \frac{\partial T}{\partial x} \Delta x <br /> +\frac{1}{2}\frac{\partial^2 T}{\partial x^2}\Delta x^2 <br /> + \frac{1}{6} \frac{\partial^3 T}{\partial x^3} \Delta x^3 + ... <br />

Yes?

Yes.

∆T is an actual difference of T between two points. dT on the other hand is what is called a 1-form. You can read about 1-forms in books about differentiable manifolds and differential geometry.
 

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