Question on exponential decay?

In summary: But when the number gets large, the exponential decay starts to fail. This is because the number of events per unit time (the "rate") gets very small. So you have to use a different distribution to model the data. The most common alternative is the probability density function.
  • #1
aftershock
110
0
Hi everyone,

There's something that's kind of been bugging me about applying exponential decay formulas to real world phenomena. For example let's say the discharging of a parallel plate capacitor. Let's consider the negative plate. As it discharges excess electrons leave the plate. The charge falls off exponentially and we model this mathematically by an exponential decay formula.

But wouldn't there be a time while the amount of charge leaving is less than the elementary charge? We know energy is quantized and it seems to me that the exponential decay model completely fails when we get around to the capacitor holding a charge of 1e.
 
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  • #2
aftershock said:
Hi everyone,

There's something that's kind of been bugging me about applying exponential decay formulas to real world phenomena. For example let's say the discharging of a parallel plate capacitor. Let's consider the negative plate. As it discharges excess electrons leave the plate. The charge falls off exponentially and we model this mathematically by an exponential decay formula.

But wouldn't there be a time while the amount of charge leaving is less than the elementary charge? We know energy is quantized and it seems to me that the exponential decay model completely fails when we get around to the capacitor holding a charge of 1e.

That's right. The exponential decay formula only holds for a large number of electrons.
 
  • #3
Rap said:
That's right. The exponential decay formula only holds for a large number of electrons.

That's interesting. Can anyone further elaborate on this? When does it start to fail, and what do we use instead when it does. Does it become a quantum mechanical problem?
 
  • #4
Before you can talk about "failure", you have to talk about the definition of failure. The quantization produces an error from the exponential decay. If you are measuring n electrons/second, the error will be about sqrt(n) electrons/second. So if you are measuring 1 amp, that's like 10^16 electrons/sec with an error of 10^8 electrons/sec or about 10^-8 amp or 10^-6 percent. The exponential decay will be good. If you are measuring 100 electrons/sec the error will be 10 electrons/sec or 10 percent. The exponential decay is not so good. Pick a percentage error that you call "failure" and you can figure out at what current that error will occur. For high error rates, it becomes a statistical problem. I think (not sure) that the electrons will have a Poisson distribution and you have to talk about the probability of measuring a certain number of electrons per second. It will depend on your measuring device too - if it cannot count individual electrons, then you have to take that into account. Depending on your particular setup, this might be enough, but maybe not, you may have to start doing QM calculations as well.
 
  • #5
Yes, for small numbers, the Poisson distribution is the appropriate one to use.
 

1. What is exponential decay?

Exponential decay is a mathematical concept that describes the process by which a quantity decreases over time, following a specific pattern. It is commonly used to model natural phenomena such as population decline, radioactive decay, and the decay of interest or investment over time.

2. How is exponential decay different from linear decay?

Exponential decay follows a non-linear pattern, where the rate of decay decreases over time. This means that the amount being lost decreases with each passing unit of time. In contrast, linear decay follows a straight line and has a constant rate of change, meaning the same amount is lost in each unit of time.

3. What is the equation for exponential decay?

The general equation for exponential decay is A = A0 * e-kt, where A is the final amount, A0 is the initial amount, k is the decay rate constant, and t is the time elapsed. This equation can be used to calculate the amount remaining after a certain amount of time, or the time it takes for a certain amount to decay.

4. What factors affect the rate of exponential decay?

The rate of exponential decay is affected by the decay rate constant, which is unique to each system and can be influenced by external factors. The initial amount and time elapsed also play a role, as a larger initial amount or longer time period will result in a larger final amount. Additionally, the presence of inhibitors or other factors that slow down the decay process can also affect the rate.

5. What are some real-life examples of exponential decay?

Exponential decay can be observed in various natural and man-made systems. Some common examples include the decay of radioactive elements, the decrease in population of a species due to limited resources, and the decrease in the value of a car or other asset over time. It can also be seen in the decay of food and other organic materials, as well as the decrease in effectiveness of certain medications or chemicals over time.

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