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

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SUMMARY

The discussion focuses on propagating percentage errors through the equation y = sin(x)^2 / x^2. The participants clarify that to find the error in y, one can use the derivative approach, resulting in dy = y'(x) dx. It is emphasized that for small errors, relative deviations can be expressed as dy/y(x) = (y'(x)/y(x)) * (x * dx/x). The conversation concludes that these formulas are approximative and effective for small relative errors in x.

PREREQUISITES
  • Understanding of calculus, specifically derivatives
  • Familiarity with trigonometric functions and their properties
  • Knowledge of error propagation techniques
  • Ability to convert absolute errors to percentage errors
NEXT STEPS
  • Study the principles of error propagation in mathematical equations
  • Learn about derivatives and their applications in error analysis
  • Explore the concept of relative and absolute errors in detail
  • Investigate the use of trigonometric identities in error calculations
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Mathematicians, physicists, engineers, and anyone involved in quantitative analysis and error propagation in complex equations.

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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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