Why/how can the product of 2 differentials be neglected?

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Discussion Overview

The discussion revolves around the justification for neglecting the product of two differentials in the derivation of the capstan friction equation. Participants explore the implications of this assumption within the context of calculus and its applications in physics and engineering.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants suggest that since differentials are close to zero, the product of two small numbers (dT and sin(dθ/2)) can be neglected.
  • Others argue that if one follows the reasoning of neglecting small differentials, it could lead to the conclusion that single differentials can also be neglected, which would undermine the utility of calculus.
  • A participant provides an intuitive explanation using limits, stating that as a variable approaches zero, its square approaches zero much faster, thus justifying the neglect of the product of two differentials.
  • Another participant notes that simply stating differentials are 'close to 0' overlooks the complexities of non-standard analysis, which involves different levels of differentials and their interactions.
  • One participant mentions that while neglecting products of small quantities is common in physics and engineering for simplicity, there are cases where higher-order terms must be considered for accuracy, such as in beam theory.
  • There is a distinction made between the smallness of the first derivative squared and the second derivative, indicating that assumptions about smallness can vary based on the context of the function being analyzed.

Areas of Agreement / Disagreement

Participants express differing views on the validity and implications of neglecting the product of two differentials. There is no consensus on when it is permissible to make such assumptions, and the discussion remains unresolved regarding the broader implications of these mathematical considerations.

Contextual Notes

Participants highlight the limitations of treating differentials as simply close to zero, suggesting that a more nuanced understanding involving levels of differentials may be necessary. The discussion also touches on the need for caution when applying simplifications in various contexts.

d.arbitman
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I am looking at the derivation of the capstan friction equation and there is a term in there which the derivation claims can be neglected; my question is: why can it be neglected?

dT*sin(dθ/2)

source: http://www.jrre.org/att_frict.pdf
 
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d.arbitman said:
I am looking at the derivation of the capstan friction equation and there is a term in there which the derivation claims can be neglected; my question is: why can it be neglected?

dT*sin(dθ/2)

source: http://www.jrre.org/att_frict.pdf

Differentials are assumed to be close to zero, so sin(dθ/2) is close to zero, as is dT. The product of two very small numbers is even smaller, so can be neglected.
 
Mark44 said:
Differentials are assumed to be close to zero, so sin(dθ/2) is close to zero, as is dT. The product of two very small numbers is even smaller, so can be neglected.

That makes perfect sense, but with that reasoning we can neglect a single differential as well since it is close to 0 and then we will have no use for calculus.
 
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d.arbitman said:
That makes perfect sense, but with that reasoning we can neglect a single differential as well since it is close to 0 and then we will have no use for calculus.

Another way to look at this intuitively is that if a variable x goes to zero, the variable x2 goes to zero much faster. In other words

[itex]\displaystyle \lim_{x \to 0} \frac{x^2}{x} = 0[/itex]

Even though x2 and x both go to zero, x2 goes to zero so much faster than x, that the limit of their quotient evaluates to zero.

You can see this numerically. When x is 1/2, x2 is 1/4. When x = 1/10, x2 is 1/100. As the magnitude of x gets smaller, the magnitude of x2 gets a lot smaller.

But your question's a good one. Newton invented calculus in 1680 or so, but the rigorous theory of limits wasn't developed till two hundred years later. So your question shows good insight.
 
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SteveL27 said:
Another way to look at this intuitively is that if a variable x goes to zero, the variable x2 goes to zero much faster. In other words

[itex]\displaystyle \lim_{x \to 0} \frac{x^2}{x} = 0[/itex]

Even though x2 and x both go to zero, x2 goes to zero so much faster than x, that the limit of their quotient evaluates to zero.

You can see this numerically. When x is 1/2, x2 is 1/4. When x = 1/10, x2 is 1/100. As the magnitude of x gets smaller, the magnitude of x2 gets a lot smaller.

But your question's a good one. Newton invented calculus in 1680 or so, but the rigorous theory of limits wasn't developed till two hundred years later. So your question shows good insight.

That's a great example. Thank you. I guess what I take from that is that the product of two differentials changes so much slower than a single differential that we can almost forget about the product as it will have a miniscule effect. Maybe mathematically it can have an effect on the outcome, but in the context of friction it will have little to no effect.
 
Note that when you are talking about "differentials" just saying that differentials are 'close to 0' is sweeping a lot under the rug. Technically, one should have a whole new arithmetic ("non-standard analysis"), including various 'levels' of "differentials" (and various levels of "infinities" in order to have multiplicative inverses) such that the product of two differentials of the same 'level' gives a differential of a higher 'level'. Essentially we are saying that, for most calculus, we can work with "standard" numbers and first level differentials, treating higher level differentials as 0.
 
You are asking this in the mathematics forums, and have been answered.

However the question of when it is permissible to make that assumption is a matter of experience.

There are many areas of physics and engineering where we make this sort of assumption in the interests of a simple formula.

However sometimes we need to take second order (products of two small quantities) or even higher orders into account for more acurate work.
An example would be in beam theory where we obtain simple formulae applicable to long narrow beams (most are like this) by considering differentials of first and second order and disregarding higher orders.

Please note that there is a difference between saying


[itex]{\left( {\frac{{dy}}{{dx}}} \right)^2}[/itex] is small

and


[itex]\frac{{{d^2}y}}{{d{x^2}}}[/itex] is small.

for sharply curving function the latter may not be true at all.
 

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