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Dense clusters of primes in subsets

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James Maynard, Dense clusters of primes in subsets. The selected text is arXiv:1405.2593v2, revised 16 December 2014. The source PDF is available from arXiv.

The arXiv record, read 2026-10-15, specifies arXiv's non-exclusive distribution license. This does not grant redistribution under an open license. No file of this source is held.

Scope

The general theorem produces several simultaneous primes from suitable arithmetic-progression estimates for the ambient sets. The application relevant to consecutive residue patterns is Theorem 3.3. For fixed ϵ>0\epsilon>0, it gives a constant cϵ>0c_\epsilon>0 such that, when x>x0(ϵ,q)x>x_0(\epsilon,q),

#{pn≤x:pn≡⋯≡pn+m≡a(modq), pn+m−pn≤ϵlog⁡x}≫ϵπ(x)(2q)exp⁡(Cm)\#\{p_n\leq x:p_n\equiv\cdots\equiv p_{n+m}\equiv a\pmod q, \ p_{n+m}-p_n\leq\epsilon\log x\} \gg_\epsilon\frac{\pi(x)}{(2q)^{\exp(Cm)}}

uniformly for m≤cϵlog⁡log⁡xm\leq c_\epsilon\log\log x, q≤(log⁡x)1−ϵq\leq(\log x)^{1-\epsilon} and (a,q)=1(a,q)=1, with an absolute constant C>0C>0. These are m+1m+1 consecutive primes, all in the same residue class. For fixed m,qm,q the lower bound is a positive proportion of the primes.

Read status: claims checked. The abstract, introduction and Theorem 3.3, including its parameter ranges and counting convention, were read in the arXiv TeX source. Its proof and the general sieve theorem have not been verified here.

Bears on. Problem 251: Theorem 3.3 supplies a comparison for proposed consecutive-prime pattern inputs. It concerns constant residue runs and does not itself provide the weighted parity or prescribed-pattern estimates that a particular irrationality argument would need.