Does Exponential Decay Fail at the Quantum Level?

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SUMMARY

The discussion centers on the limitations of applying exponential decay formulas to phenomena at the quantum level, specifically in the context of discharging a parallel plate capacitor. It is established that the exponential decay model is valid only when dealing with a large number of electrons, as quantization introduces significant errors when measuring small quantities, such as a charge of 1 elementary charge (1e). The conversation highlights that for low electron counts, the Poisson distribution becomes relevant, and quantum mechanical calculations may be necessary to accurately describe the behavior of charge discharge.

PREREQUISITES
  • Understanding of exponential decay formulas
  • Knowledge of parallel plate capacitor behavior
  • Familiarity with quantization of energy and charge
  • Basic concepts of statistical distributions, particularly Poisson distribution
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  • Research the application of Poisson distribution in quantum mechanics
  • Study the limitations of classical physics in quantum scenarios
  • Explore quantum mechanical models for charge behavior in capacitors
  • Investigate measurement techniques for low electron counts in electrical systems
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Physicists, electrical engineers, and students studying quantum mechanics or electrical circuits who seek to understand the intersection of classical and quantum theories in charge discharge phenomena.

aftershock
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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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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.
 
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?
 
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.
 
Yes, for small numbers, the Poisson distribution is the appropriate one to use.
 
I do not have a good working knowledge of physics yet. I tried to piece this together but after researching this, I couldn’t figure out the correct laws of physics to combine to develop a formula to answer this question. Ex. 1 - A moving object impacts a static object at a constant velocity. Ex. 2 - A moving object impacts a static object at the same velocity but is accelerating at the moment of impact. Assuming the mass of the objects is the same and the velocity at the moment of impact...

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