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arXiv 1908.08613math.NTmath.PR
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大素数间隙与概率模型

Large prime gaps and probabilistic models

William Banks, Kevin Ford, Terence Tao

AI总结:

本文提出一种由筛法存活整数构成的新素数概率模型,通过严格分析得到区间最大素数间隙的启发式上下界,并揭示了Hardy-Littlewood猜想有效性与集合内最大间隙下界的严格联系。

摘要:

我们引入了一种新的素数概率模型,该模型由在为特定界限以下的每个素数模数选取随机剩余类时,能够存活于筛法过程的整数组成。通过对该模型的严格分析,我们得到了区间$[1,x]$内最大素数间隙大小的启发式上下界。我们的结果以区间筛问题中的极值界来表述。同样的方法也使我们能够严格地将Hardy-Littlewood猜想对任意集合(如实际素数)的有效性与该集合内最大间隙的下界联系起来。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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