Comparing Decay Rates from Two Methods: Is α = β?

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Discussion Overview

The discussion revolves around the comparison of decay rates measured by two different methods, referred to as method A and method B, in the context of exponential decay. Participants explore whether the decay constants α and β from the two methods can be considered equal, given that the initial values A0 and B0 differ.

Discussion Character

  • Debate/contested

Main Points Raised

  • One participant questions whether α can equal β if the initial values A0 and B0 are different, suggesting that discrepancies in measurements indicate potential errors.
  • Another participant argues that if α equals β but A0 is less than B0, the curves would not fit the same data, implying that differing initial values necessitate differing decay constants.
  • A later reply identifies typos in the original post, including the use of the same variable for the exponent and confusion caused by a graph that lacked proper axes, which contributed to misunderstanding the results.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether α equals β, as differing viewpoints on the implications of A0 and B0 suggest ongoing uncertainty regarding the relationship between the decay constants.

Contextual Notes

The discussion highlights limitations related to the clarity of variable definitions and the presentation of data, which may affect interpretations of the decay rates.

lisab
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I’m going to post this here even though this question straddles Chemistry and Physics. I think I know the answer but I’d like confirmation.

Let's say I am measuring a property P that is decaying exponentially, but I am measuring it using two different test methods. Let’s call them method A and method B.

The data from method A fit the curve:

P(t) = A0e-αt

The data from method B fit the curve:

P(t) = B0e-βt

In this case, I know the methods well enough that I know that A0 and B0 will be different numbers. But isn’t it true that α = β?
 
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If you are measuring the same property, but getting different results, something is wrong. And if something is wrong, everything can go wrong (that is, if A0≠B0, I don't see why to expect α=β).

Is it just an experimental error, or is there more to the difference between both methods?
 
If α = β, but A0<B0, then the first curve is less then the second curve everywhere.
In other words, they cannot fit the same data regardless of systematic or experimental errors.

Therefore, if A0≠B0 then that implies α≠β.
 
OK, mystery (sort of) solved.

Turns out there are two typos. One, the author accidentally used the same variable for the exponent. Two, in a graph showing results from both tests, there are supposed to be two sets of axes but only one got into the report.

I didn't notice the first typo but it was the graph that made my head spin. The units weren't right -- method A and method B give results in different units, so I was confused :rolleyes:!

Thanks, Borek and ILS.
 

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