Rigorous treament of differentials?

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Discussion Overview

The discussion revolves around the rigorous treatment of differentials, particularly in the context of discrete units and their approximation to continuous calculus concepts. Participants explore the validity of using finite differences in applied subjects and the implications of treating differentials in this manner.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants argue that in applied subjects, the differential can be approximated using finite differences, specifically C'(x) approximately equals C(x+1) - C(x), particularly when dealing with discrete units.
  • Others clarify that this approximation is not equivalent to the derivative in traditional calculus, as C(x+1) - C(x) represents a difference quotient rather than a limit as h approaches 0.
  • A participant suggests that a rigorous treatment of differentials could be found in non-standard analysis, though its relevance to the discussion is questioned.
  • There is a contention regarding the legitimacy of using C'(x) in contexts where C(x) is defined only at discrete points, with some arguing that the calculus of finite differences is a separate subject from traditional calculus.
  • One participant expresses confusion about the manipulation of differentials in integration, seeking clarification on the algebraic justification for such steps.
  • Another participant discusses the implications of treating C(x) as linear, suggesting that this may allow for the use of traditional differentiation techniques, but notes the assumptions involved in doing so.
  • Concerns are raised about the assumptions required to apply calculus concepts to discrete functions, particularly regarding the behavior of C(x) near discrete points.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the validity and rigor of using finite differences as approximations for differentials. There is no consensus on the appropriate treatment of differentials in the context of discrete units versus continuous functions.

Contextual Notes

Limitations include the unclear transition from discrete to continuous treatment of differentials, the dependence on the nature of the functions involved, and unresolved mathematical justifications for manipulations of differentials.

pivoxa15
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In applied subjects, the differential is often treated as i.e C'(x) approximately equals C(x+1)-C(x)

1 is used instead of h as h->0 because we are talking about discrete units such as items or people. They argue it works because x>>1. i.e considering lots of items, x. However what is rigorous treatment of this argument?
 
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pivoxa15 said:
In applied subjects, the differential is often treated as i.e C'(x) approximately equals C(x+1)-C(x)

1 is used instead of h as h->0 because we are talking about discrete units such as items or people. They argue it works because x>>1. i.e considering lots of items, x. However what is rigorous treatment of this argument?
C(x+a) = C(x) + a C'(x) + error term.

This is differential approximation, or if you prefer, a Taylor series.
 
Last edited:
If you want a rigorous treatment of differentials, try Abraham Robinson's http://en.wikipedia.org/wiki/Non-standard_analysis" . To some extent, that's what you're looking for. Maybe not exactly...
 
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1 is a finite number, so the ideas of NSA would only be relevant to his situation if he is working with a transfinite quantity of items.
 
Right but my impression is that the OP was asking if there was a rigorous theory that is based on the sort of approximations often found in applied work. Obviously as it's stated there's not much to it; basically it's a particular case of "the error in an approximation is small enough that we can ignore it" which happens pretty much everywhere in analysis...
 
pivoxa15 said:
In applied subjects, the differential is often treated as i.e C'(x) approximately equals C(x+1)-C(x)
As far as I know, the differential is NEVER "treated as C'(x) approximately equals C(x+1)- C(x)". I'm sure you must have misunderstood. C(x+1)- C(x) would be the "difference quotient (f(x+h)-f(x))/h with h= 1. Since C'(x) is the limit of the difference quotient as h goes to 0. Since 1 is not anywhere near 0, C(x+1)- C(x) is, generally, nowhere near C'(x)!
(C(x+1)- C(x) is often used as the "difference quotient" in discrete functions. That has nothing at all to do with C'(x).)

1 is used instead of h as h->0 because we are talking about discrete units such as items or people. They argue it works because x>>1. i.e considering lots of items, x. However what is rigorous treatment of this argument?
Okay, I should have read further. You ARE talking about "discrete functions" and thus about "the calculus of finite differences" which is very different from the regular calculus. There is no "rigorous treatment" for using C(x+1)- C(x) as "C'(x)" because they are not at all the same. In fact, in the situations you are talking about, with "discrete units", C'(x) cannot even be defined. The "calculus of finite differences" has a lot of solid rigorous foundation but it is not "calculus"- it's a completely separate subject.
 
Back to the continuous case of differentials, I always wondered

what allowed us to go from:


[tex] \frac{dy}{dx}=y[/tex]

to:

[tex] \frac{dy}{y}=dx[/tex]

and then just integrate both sides.

It does not seem clear--even after doing a good amount of reading--
what the "algebra" of these differentials is. I can see why it does not
make sense to go from (as dx->0. Sorry, I am still learning Tex):

[tex] \frac {dy}{dx}=f'(x)[/tex]

to:

[tex] \frac{dx}{dy}=\frac{1}{f'(x)}[/tex]

But I don't see the justification for the first manipulation clearly.

Anyone know?.
Thanks.


What Would Gauss Do?
 
Sorry about that. I thought I had figured it out. I'll go back to the
practice pen.
 
Hurkyl said:
C(x+a) = C(x) + a C'(x) + error term.

This is differential approximation, or if you prefer, a Taylor series.

I don't think that is it.

They are talking about instead of change in x ->0 in the limit as in calculus, we can only let change in x = 1 as we are dealing wth discrete units like money.

So d(C(x))/dx = lim dx->0 (C(x+dx)-C(x))/(dx)

But if C(x) is a cost function then dx=1 as a min

But given C(x)=300+3x

we can still differentiate C(x) like it's a function in calculus. However what is the argument for the legimaticy of it?
 
  • #10
pivoxa15 said:
I don't think that is it.

They are talking about instead of change in x ->0 in the limit as in calculus, we can only let change in x = 1 as we are dealing wth discrete units like money.

So d(C(x))/dx = lim dx->0 (C(x+dx)-C(x))/(dx)

But if C(x) is a cost function then dx=1 as a min

But given C(x)=300+3x

we can still differentiate C(x) like it's a function in calculus. However what is the argument for the legimaticy of it?
.


If I understand well, it is because C(x) is linear. C'(x) , if you treat it as being
discrete, gives you the slope of the tangent line at x ( I am being loose in
here), or the best local approximation to the change of the function, i.e
the differential. So, if C(x) is linear, the best local linear approximation to
the change of the function is the function itself.

Still, an additional assumption you are doing when finding C'(x), is that
C(x) is defined outside of the discrete points x1,x2,...,xn , and, that
near these values, C(x) is also 300+3x,i.e, as you said,in order to talk about
dx for dx<1 (or, actually, as dx->0), you need to (and seem to) be assuming
that C(x) acts infinitesimally in the same way as it does discretely.
 
  • #11
You could have a C(x)=x^2+2 hence nonlinear.
 
  • #12
Please give me some time, until after finals, and I will get back to it.
 

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