Large prime gaps and probabilistic models

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Abstract

We introduce a new probabilistic model of the primes consisting of integers that survive the sieving process when a random residue class is selected for every prime modulus below a specific bound. From a rigorous analysis of this model, we obtain heuristic upper and lower bounds for the size of the largest prime gap in the interval [1 , x] . Our results are stated in terms of the extremal bounds in the interval sieve problem. The same methods also allow us to rigorously relate the validity of the Hardy-Littlewood conjectures for an arbitrary set (such as the actual primes) to lower bounds for the largest gaps within that set.

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APA

Banks, W., Ford, K., & Tao, T. (2023). Large prime gaps and probabilistic models. Inventiones Mathematicae, 233(3), 1471–1518. https://doi.org/10.1007/s00222-023-01199-0

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