Error Propagation (Percentage) - sin(x)^2 / x^2

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Discussion Overview

The discussion revolves around the propagation of percentage errors in the equation y = sin(x)^2 / x^2. Participants explore methods for calculating the error in y based on the known percentage error in x, addressing both theoretical and practical aspects of error propagation.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant inquires whether the percentage error in x can be simplified to 2 times the error when applied to the equation y = sin(x)^2 / x^2.
  • Another participant seeks clarification on the term "percentile errors," suggesting a misunderstanding regarding statistical percentiles.
  • A participant clarifies that they are referring to percentage errors, having converted absolute errors to percentage beforehand.
  • It is suggested that if the errors are small, one can use derivatives to find the error in y, leading to a formula involving dy and dx.
  • A further elaboration provides a detailed expression for relative errors, indicating that dy/y can be expressed in terms of the derivative of y with respect to x, and emphasizes that these formulas are approximative for small relative errors.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best method for propagating percentage errors, with various approaches and interpretations of the problem presented.

Contextual Notes

The discussion includes assumptions about the size of errors and the applicability of derivatives, which may not hold in all cases. There is also a reliance on the average value of x for calculations, which may introduce additional uncertainty.

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Hey, I'm trying to propagate my percentage errors through some hefty equations and come up on a bit of snag:

I've got a percentage error for x and know how to deal with it for trig functions and powers, however since both errors are from the same source:

y = sin(x)^2 / x^2

Should I just simplify it to: 2*error
 
Last edited:
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What do you mean by percentile errors? Do you mean you have something like the 25th percentile, 50th percentile (median), and 75th percentile of x?
 
Sorry, I just mean that I've converted the error, from absolute to percentage beforehand. I've just edited my original post to fix the mistake.
 
If the errors are small, then you can take the derivative of both sides of the equation. You get something of the form
dy = (...) dx
then just plug your error into dx, and then dy will be your error in y.
 
As Khashishi said, it is something like: dy = y'(x) dx, where dx, dy are absolute deviations. Relative deviations are dx/x, dy/y:

dy/y(x) = y'(x)/y(x) * x * dx/x

Here x,y,y(x),y'(x) should be computed for x=reference value of x (the one supposedly without errors).

If you take errors dx, dy to be standard deviations, then relative errors would be:

dy/|y(x)| = | y'(x)/y(x) * x | * dx/|x|

and x should be the average value of x. Relative errors can be expressed in % (of the average values). Formulas are approximative and work for a small relative error in x.
 

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