Particle lifetime (half-life) question

Click For Summary

Discussion Overview

The discussion revolves around the concept of particle lifetime, specifically focusing on the half-life of particles and the probabilistic nature of their decay. Participants explore the implications of average lifetime versus half-life, the randomness of decay events, and the interpretation of these phenomena in the context of quantum mechanics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants discuss the distinction between average lifetime and half-life, with one participant initially confusing the two terms.
  • It is proposed that the decay of particles is probabilistic, with a participant questioning the underlying reasons for this probabilistic behavior.
  • One participant suggests that the probabilistic interpretation of particle lifetime is analogous to calculating expectation values in quantum mechanics, raising questions about the nature of measurement and observation.
  • Another participant asserts that the probability of a nucleus decaying is independent of its age, emphasizing that nuclei do not "wear out."
  • A participant confirms that when measuring randomly selected particles, the average observation time aligns with the average lifetime, despite individual variations in decay times.
  • Technical details about the decay constant and the probability of decay over time intervals are discussed, with some participants providing mathematical formulations.
  • One participant acknowledges a mistake in assuming a first-order approximation in their calculations, indicating a level of uncertainty in the mathematical treatment of the topic.

Areas of Agreement / Disagreement

Participants generally agree on the probabilistic nature of particle decay and the distinction between average lifetime and half-life. However, there are ongoing questions and uncertainties regarding the interpretation of these concepts and the reasons behind the probabilistic behavior, indicating that the discussion remains unresolved.

Contextual Notes

Some mathematical steps and assumptions regarding the decay process and the interpretation of probability in quantum mechanics are not fully resolved, leaving room for further exploration and clarification.

aaronll
Messages
23
Reaction score
4
If I have a particle with a average lifetime of 15min, if I take 10 particles confined in a box, after 15 min there will be 5 particles.
After 15min 2.5 particles and so on... , but so, at the end there will be the last particle that decades.
That particle lived far longer than 15min, but is the same kind of other particles.
So why some particles lives less and some more? Are related to when they are "born" ( I know this word is bad)

And for particle with an enormous lifetime, e.g. 10^20 years, I can take a large number of particles, like 10^20, and see if there is a decay in some time interval,for example 1 years, if there is not i can say that almost its lifetime is 10^20 years.
But how those particle doesn't decay, for lucky, when I experiment on them?

thank you
 
Physics news on Phys.org
aaronll said:
If I have a particle with a average lifetime of 15min, if I take 10 particles confined in a box, after 15 min there will be 5 particles.
No. That's a half life, not an average lifetime.

aaronll said:
So why some particles lives less and some more?
It's completely probabilistic.
 
Vanadium 50 said:
No. That's a half life, not an average lifetime.It's completely probabilistic.
Yes, I meant half life ( excuse me ).

So it's probabilistic, but... why? It's like when we calculate expectation value of an observable according to probabilistic interpretation of wave function? So we "found" some value with some probability to found if we measure it, but why we found a particular value it's a "mystery".
it's the same things?
To me thinking that a particle has a probabilistic lifetime it's very strange.Last question: if we take a particles, randomly (we cannot say when it was "born") so statistically we can observe it for a time equal to its average lifetime? We can observe some that disappear instantaneously, and some later than lifetime interval, but on average is the lifetime, is correct?

thanks
 
aaronll said:
To me thinking that a particle has a probabilistic lifetime it's very strange.
It is strange. But that's how nature behaves.

Also, nuclei don't "wear out" the probability of a nucleus to decay is independent of how old it is.
 
aaronll said:
Last question: if we take a particles, randomly (we cannot say when it was "born") so statistically we can observe it for a time equal to its average lifetime? We can observe some that disappear instantaneously, and some later than lifetime interval, but on average is the lifetime, is correct?
Right. And it doesn't matter when it was born, as long as it exists when you start the measurement.
 
aaronll said:
If I have a particle with a average lifetime of 15min, if I take 10 particles confined in a box, after 15 min there will be 5 particles.
As noted above, you really mean the half-life, ##t_{1/2}##, not the average lifetime.
Vanadium 50 said:
Also, nuclei don't "wear out" the probability of a nucleus to decay is independent of how old it is.
In general, a half-life corresponds to a decay constant (probability of decay, per unit time) of $$\lambda = \frac {-\ln 0.5} {t_{1/2}}$$ For the given example, $$\lambda = \frac {0.693} {15~\rm{min}} = 0.0462~\rm{min^{-1}}$$ If you pick any particle, it has a probability of 0.0462 = 4.62% of decaying within the next minute, regardless of how long it has lived already.
 
Last edited:
If a particle is certainly present at ##t=0## then the probability that it decays within the time interval ##[0,t]## is
$$P_{\text{decay}}=1-\exp(-\lambda t).$$
 
Oops, I shouldn't have blindly assumed the first-order approximation. :frown:

The exact calculation above gives P = 0.0451 = 4.51%.
 

Similar threads

  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 20 ·
Replies
20
Views
3K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 7 ·
Replies
7
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K