Propagation of error: exponents

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Discussion Overview

The discussion revolves around the propagation of error in the context of exponents and products. Participants explore the differences in applying uncertainty calculations for exponential functions compared to multiplicative functions, particularly focusing on the mathematical expressions used for each case.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a formula for error propagation in the case of exponents, suggesting that the standard error propagation formula for products does not apply in the same way.
  • Another participant explains that the quadrature method of addition for uncertainties is only valid when the uncertainties are independent, using the example of measuring sides of a rectangle versus a square.
  • A later reply acknowledges the need for further understanding of statistics in relation to error propagation.
  • Participants mention resources for learning about experimental uncertainty, including a specific book recommendation.
  • There is a suggestion to refer to a statistics subforum for additional questions related to this topic.

Areas of Agreement / Disagreement

Participants express differing views on the application of error propagation methods, particularly regarding the independence of uncertainties in different measurement scenarios. The discussion remains unresolved with multiple perspectives presented.

Contextual Notes

The discussion highlights limitations in understanding the conditions under which different error propagation methods apply, particularly the assumptions about independence of uncertainties in measurements.

Who May Find This Useful

This discussion may be useful for students and practitioners in experimental sciences, particularly those interested in statistical methods for error analysis and propagation in measurements.

AndrewBworth
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Hi all. I have been trying to understand propagation of error of exponents. Most an. Chem textbooks I see say y = a^x, sy/y = (sa/a)*x. But say y = a*b, then sy/y = ((sa/a)^2 + (sb/b)^2)^.5 . if a = b then sy/y= (2*(sa/a)^2)^.5 = 2^.5*abs(sa/a). This shows the rule y=a^x, sy/y= x^.5*abs(sa/a).
 
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I think I understand your question. You are asking why the standard way of representing uncertainty in a product (the so-called quadrature method of addition) does not apply to powers.

The most straightforward way to explain this that I've seen may satisfy you. Recall that the quadrature method only applies to uncertainties that are independent of each other. Take a simple example of measuring two sides of a rectangle - the uncertainty in your first measurement is independent of the uncertainty of the second measurement. It is therefore preferable to state the uncertainty in the area of the rectangle using the quadrature method.

Contrast this with measuring only one side of a square and calculating its area. In this circumstance the calculation involves multiplying the same value together and the uncertainties are clearly no longer independent; the quadrature method is not justifiable in this circumstance.
 
Thank you! I guess I have a thing or two to learn about statistics.
 
You're welcome. One book that I found extremely useful for the basics of dealing with experimental uncertainty is John R. Taylor's An Introduction to Error Analysis. I would definitely recommend checking it out. I ended up buying a copy.
 
We also have a statistics subforum for this kind of questions.
 

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