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

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The discussion revolves around the measurement of a property P that decays exponentially using two different methods, A and B. The equations for the decay from each method are presented, showing that while the initial values (A0 and B0) differ, the decay constants (α and β) should theoretically be equal if both methods measure the same property. The author initially concludes that differing initial values imply differing decay constants, leading to confusion about the validity of the measurements. However, it is revealed that two typos contributed to the misunderstanding: the same variable was mistakenly used for the exponent, and a graph intended to show results from both methods lacked proper axes, causing further confusion. The discussion highlights the importance of clarity in experimental data presentation and the potential for misinterpretation due to simple errors.
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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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