Do Quantum Mechanics PDFs Converge?

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SUMMARY

The discussion centers on the convergence of probability density functions (PDFs) in the context of quantum mechanics (QM), specifically through the lens of the double-slit experiment using low-intensity monochromatic photons. Participants emphasize that the observed interference pattern from individual photons converges to the continuous PDF associated with the wave function. The conversation highlights the distinction between mathematical convergence concepts, such as Convergence in Distribution and Almost Sure Convergence, and the empirical convergence observed in sampling theory, where a histogram of samples approaches the underlying distribution as the sample size increases. The inquiry seeks literature on the specific types of PDFs generated by quantum processes.

PREREQUISITES
  • Understanding of the double-slit experiment in quantum mechanics
  • Familiarity with probability theory concepts, including Convergence in Distribution and Almost Sure Convergence
  • Knowledge of sampling theory and its implications for empirical data
  • Basic principles of quantum mechanics and wave functions
NEXT STEPS
  • Research the mathematical foundations of Convergence in Distribution and its applications in quantum mechanics
  • Explore empirical sampling theory and its relationship to probability distributions
  • Investigate literature on quantum processes and the specific types of PDFs they produce
  • Study the works of Von Neumann and other mathematicians regarding the mathematical aspects of quantum mechanics
USEFUL FOR

Researchers in quantum mechanics, mathematicians focusing on probability theory, and anyone interested in the empirical aspects of sampling theory related to quantum processes.

LarryS
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Consider the double-slit experiment using a low-intensity source of monochromatic photons: If the intensity is low enough, one can observe the photons, one at a time, slowly developing an interference pattern on a photographic plate.

The interference pattern, over time, resembles more and more the continuous probability density function associated with the wave function, i.e. it “converges” to the PDF.

I have just started reading about the different types of convergence in probability theory:

Convergence in Distribution
Convergence in Probability
Almost Sure Convergence
Etc.

Has anybody found QM literature researching the types of convergence that occur in QM random processes?

Thanks in advance.
 
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Forget the QM part, it isn't actually important. Your question is more a standard one from sampling theory - if I draw n samples from a distribution, how do the properties of the sample converge on the distribution as n gets very big. The convergence phrases you refer to in your post are more mathematical, different from this empirical effect where a histogram of a large number of samples from a distribution converges on that distribution.
 
peteratcam said:
Forget the QM part, it isn't actually important. Your question is more a standard one from sampling theory - if I draw n samples from a distribution, how do the properties of the sample converge on the distribution as n gets very big. The convergence phrases you refer to in your post are more mathematical, different from this empirical effect where a histogram of a large number of samples from a distribution converges on that distribution.

I realize my question is more mathematical than physical/empirical. But much has been written about the purely mathematical aspects of QM (Von Neumann, etc.).

So, has anyone written about the very specific type of PDFs that are produced by quantum processes?
 

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