The Proportional Decay - Uncovering the Mystery

In summary, the rate of decay is directly proportional to the number of nuclei present, following an exponential law, with the rate decreasing over time. This is observed in nature for radionuclides, which primarily decay by beta-emission or alpha-emission, and sometimes by gamma-emission. This process is random and can be described by a simple first order differential equation. The decay constant is unique to each nuclide and is related to the half-life, which is the time it takes for half of the radioactive atoms to decay. This relationship can be explained by Fermi's Golden Rule, which states that the probability for decay per unit time is independent of time. This leads to a direct proportionality between the rate of decay and the
  • #1
Cheman
235
1
Rate of decay...

"The rate of decay is durectly proprtional to the number of atoms present, following an exponential law, the rate of decay decreasing with time" - but why is this the case?

Thanks in advance. :smile:
 
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  • #2
As you said, the rate is proportional to the number present. This decreases with time (by decaying!). The usual measure of the decay rate is half-life, i.e. the time for half the atoms to have decayed.
 
  • #3
But what does the statement actually mean in terms of physics?
 
  • #4
What part of the original statement are you having trouble with?
 
  • #5
Basically in nature, it has been observed that radionuclides decay primarily by beta-emission or alpha-emission, and sometimes by gamma-emission. The process is very random, in the sense that one cannot predict precisely when a given unstable atom will decay. Instead, one can take a population of the particular atom and observe that decays do occur according to a very simple first order differential equation.

dN/dt = -[tex]\lambda[/tex]N, where N is the number of particles at any given time (e.g. N= N(t)) and [tex]\lambda[/tex] is the decay constant, which is unique to that nuclide.

The decay constant [tex]\lambda[/tex] = (ln 2)/t1/2, where t1/2 is the half-life, which is the period after which approximately one-half the radioactive atoms have decayed.

Here are some useful references:

Radioactive decay - http://hyperphysics.phy-astr.gsu.edu/hbase/nuclear/halfli.html#c1

Half-life - http://hyperphysics.phy-astr.gsu.edu/hbase/nuclear/halfli2.html#c1

Radioactivity - http://hyperphysics.phy-astr.gsu.edu/hbase/nuclear/radact.html#c1

http://hyperphysics.phy-astr.gsu.edu/hbase/nuclear/radact.html#c2

http://hyperphysics.phy-astr.gsu.edu/hbase/nuclear/beta.html#c2

Please read these and if you still have questions, we will address them.
 
  • #6
But why is the first equation you mention ( dN= -lambdaNdT) true? ie - Why does the rate of decay depend on the number of nuclei present?

Thanks. :smile:
 
  • #7
Whether or not any particle decays is independent of what other particles are doing. Therefore the decay rate (per unit time) is directly proportional to the number of particles still around.
 
  • #8
But why is the rate of decay directly proportional to the number of nuclei present? What does the number of nuclei have to do with the rate if the decay of any particular nucleus is completely random?

Thanks. :smile:
 
  • #9
It is a statistical fact. Specifically, the probability that any particle decays during a very small unit of time is fixed. Call it p. Then on average, np particles will decay (where n is the number of particles at that time) during this small interval of time. Taking the limit as the interval of time goes to 0, we end up with the simple differential equation as shown above (Astronuc).
 
  • #10
Look, I'll try and give it my best shot.
radioactive decay is a quantummechanical effect, Fermi's Golden Rule (which was found by Dirac, really) is an expression that gives the probability for a transition from undecayed to decayed nucleus. Apparently the probability for decay per unit time is independant of the time, a radioactive nucleus is equally likely to decay in say 5 minutes now than it is likely to decay in 15 minutes when it hasn't decayed 10 minutes from now.
When you have 2 kazillion nuclei, we can expect 50% (1 kazillion) of them to have decayed when one halflife has expired, if you have 4 kazillion nuclei, virtually split that up in 2x2 kazillion nuclei. Both sets of 2 kazillion will have 50% (1 kazillion) decayed nuclei, yielding 2 kazillion decayed nuclei in total, which is double that of when you started out with 2 kazillion nuclei, ater the same time of 1 halflife. Hence the direct proportionality.
 

1. What is proportional decay?

Proportional decay, also known as exponential decay, is a mathematical concept where a quantity decreases by a fixed percentage over a given period of time. This means that the rate of decay is proportional to the current amount of the quantity.

2. How does proportional decay differ from linear decay?

In linear decay, the quantity decreases by a fixed amount over a given period of time. This means that the rate of decay is constant regardless of the current amount of the quantity. Proportional decay, on the other hand, takes into account the current amount and decreases it by a percentage, resulting in a decreasing rate of decay over time.

3. What are some real-life examples of proportional decay?

Proportional decay can be observed in many natural phenomena, such as radioactive decay, population decline, and depreciation of assets. It can also be applied to financial concepts, such as compound interest and stock market fluctuations.

4. What is the formula for calculating proportional decay?

The formula for calculating proportional decay is A = A0 * e-rt, where A is the final amount, A0 is the initial amount, r is the proportional decay rate, and t is the time elapsed. This formula is derived from the general exponential function, y = a * bx.

5. How is proportional decay used in scientific research?

Proportional decay is used in many scientific fields, such as biology, chemistry, physics, and economics. It is often used to model and predict the behavior of natural processes, such as radioactive decay and population growth. It can also be used to analyze and interpret data in experiments and studies.

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