Research Suggestions: Prime Number Distribution

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SUMMARY

The discussion centers on the statistical analysis of prime number distribution and prime gaps, specifically the average prime gap computed over intervals of one thousand primes. The author has performed linear regression on these means, resulting in a confidence interval that includes zero, indicating no definitive relationship. The author seeks new directions for research, particularly in exploring potential exponential trends in prime gaps as prime numbers become sparser. Connections to the Riemann Zeta function and Bertrand's Postulate are also highlighted as relevant mathematical frameworks.

PREREQUISITES
  • Statistical analysis techniques, including linear regression
  • Understanding of prime gaps and their significance in number theory
  • Familiarity with the Riemann Zeta function and its implications for prime distribution
  • Knowledge of Bertrand's Postulate and its relevance to prime number theory
NEXT STEPS
  • Investigate advanced statistical methods for analyzing infinite populations
  • Explore the implications of random matrix theory on prime distribution
  • Research improvements to upper bounds on the difference between consecutive primes
  • Examine the relationship between prime gaps and conjectures regarding long-term trends in prime distribution
USEFUL FOR

Mathematicians, number theorists, and researchers interested in prime number distribution and statistical analysis of prime gaps.

Nebula
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I have been doing some research concerning the prime number distribution, and basically have come to a point in which I'm not sure what direction to take. I'll breifly explain my work in hopes that someone may have some suggestions, or some conjectures which may spark new directions.

My work has mainly been a statistical analysis of the distribution and the corresponding prime gaps. A prime gap is the difference between to consecutive primes. Now what I have done so far is to compute the average prime gap over certain intervals. For instance a have computed the average prime gap for the frst thousand primes, the second thousand primes and so on. Now we have a sampling distribution of means, and so we can linearly regress the means to form an equation. Also from the data we can compute confidence intervals about the slope of our linear regression line. Now it just so happens that the confidence interval includes zero, so we cannot rule out the possibility that there is no relation, a slope of zero. It would appear that the average value for prime gaps taken in samples of one thousand progress in linear fashion. But who is to say that this does not exhibit an exponetial trend somewhere down the number line when prime numbers become increasingly sparse. Another thing to consider is the fact that I'm dealing with an infinite population, which obviously makes things a bit difficult.

What I'm looking for is perhaps a new direction. Maybe there is somthing I over looked, or a new relationship I can explore, maybe somthing analytical or somthing to help solidify arguments. If you have any questions please ask, and any ideas, suggestions or comments would be appreaciated. Thanks. :smile:
 
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The distibution of the primes is well known to be related to the RIemann Zeta function, and there is some indication mathematical physics (random matrix theory) might shed some light on it.

Of course you must be aware that given any number n there is sequence of n-1 consecutive composite numbers, n!+2, n!+3,... hence if you're conjecture is true about long term trends, then it would have to take this into account, which might say something about the distribution of primes either side of this range. There is of course a well known upper bound on the difference between two primes, with several improvements, how do they relate to your conjecture?

For instance, for every n greater than1 there is a prime between n and 2n, so exponential is the worst growth possible for the average gaps. This is Bertrand's Postulate; there are better results, probably by Erdos
 
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