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Long gaps in sieved sets

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corollary_1: For an integer-valued polynomial of degree d at least 1 with positive leading term and all large X, some run of consecutive natural numbers in [1,X] of length at least (log X)(log log X) to the power C(1/d)-o(1) has every value composite, where C(1/d) exceeds exp(-(6d+1)).

corollary_2: For a polynomial of degree d at least 2 with positive leading term, irreducible over the rationals and with Galois group the full symmetric group, every large X has a run of consecutive natural numbers in [1,X] of length at least log X times (log log X) to the power 1/325565 on which every value is composite.

corollary_3: For every non-constant integer-valued polynomial f there is an integer G_f at least 2 such that, for every k at least G_f, infinitely many nonnegative n have none of f(n+1), ..., f(n+k) coprime to all the others.

theorem_1: The paper's main theorem in its corrected form: for a non-degenerate, B-bounded, one-dimensional, rho-supported sieving system with rho positive, the sifted set S_x contains a gap of length at least x(log x) to the power C(rho)-o(1), where C(rho) exceeds exp(-1-6/rho); Remark 4 restates it as a residue-class covering of an initial interval.


Kevin Ford, Sergei Konyagin, James Maynard, Carl Pomerance, and Terence Tao, "Long gaps in sieved sets," J. European Math. Soc. 23 (2021), no. 2, 667--700, DOI 10.4171/JEMS/1020. Corrigendum: J. European Math. Soc. 25 (2023), no. 6, 2483--2485, DOI 10.4171/JEMS/1305.

Source edition and qualification

The copy read for this card is the corrected arXiv:1802.07604v4, revised 19 September 2022, rather than the uncorrected 2021 journal text. Its final appendix, headed "Appendix A. Corrigendum" like the earlier Appendix A that proves Lemma 3.1, enumerates 22 post-publication corrections, subsequently published as the 2023 corrigendum. The consequential corrections occur in the deduction of Theorem 2 from Theorem 3: the exponents of HH force M>6M>6. Accordingly, v4 replaces the factor 4+δ4+\delta in the published definition of C(ρ)C(\rho) by 66 and weakens the displayed numerical exponents in Theorem 1 and its corollaries. The theorem and constants below are those of corrected v4; they should not be cited as the statement of the original publication without the corrigendum. The arXiv record names arXiv's non-exclusive distribution license (arXiv:1802.07604), every other right reserved.

Main theorem

Page numbers on this card and its result pages are those of the corrected arXiv v4. Result pages: Theorem 1 (p. 2, with Remark 4, p. 5), Corollary 1 (p. 4), Corollary 2 (p. 5) and Corollary 3 (p. 5). Their statements were read clause by clause on the page images of the print (claims checked); the proofs were followed for structure only, and nothing here is independently reviewed.

Definition 1 and equations (1.1)--(1.3) define a non-degenerate, BB-bounded, one-dimensional, ρ\rho-supported sieving system I=(Ip)p\mathcal I=(I_p)_p, with

Sx=Z∖⋃p≤xIp,∏p≤x(1−∣Ip∣p)∼C1log⁡x.S_x=\mathbb Z\setminus\bigcup_{p\leq x} I_p, \qquad \prod_{p\leq x}\left(1-\frac{|I_p|}{p}\right)\sim\frac{C_1}{\log x}.

For ρ>0\rho>0, Theorem 1 and (1.4) state that SxS_x contains a gap of length at least

x(log⁡x)C(ρ)−o(1),C(ρ)=sup⁡{0<δ<12:6⋅102δlog⁡(1/(2δ))<ρ},x(\log x)^{C(\rho)-o(1)}, \qquad C(\rho)=\sup\left\{0<\delta<\frac12: \frac{6\cdot10^{2\delta}}{\log(1/(2\delta))}<\rho\right\},

where C(ρ)>e−1−6/ρC(\rho)>e^{-1-6/\rho}. For the one-class Eratosthenes system Ip={0}I_p=\{0\}, Example 1 records C(1)>1/835C(1)>1/835. Remark 4 gives the covering form used in the proof: for every fixed δ<C(ρ)\delta<C(\rho) and sufficiently large xx, there is a class b(modP(x))b\pmod {P(x)} such that

(Sx+b)∩[1,x(log⁡x)δ]=∅.(S_x+b)\cap[1,x(\log x)^\delta]=\varnothing.

Corollary 1 is the principal polynomial application: for a nonconstant integer-valued polynomial of degree dd with positive leading term and every sufficiently large XX, f(n)f(n) is composite for every nn in some string of consecutive integers in [1,X][1,X] of length at least (log⁡X)(log⁡log⁡X)C(1/d)−o(1)(\log X)(\log\log X)^{C(1/d)-o(1)}, with the corrected bound C(1/d)>e−(6d+1)C(1/d)>e^{-(6d+1)}.

Residue-class covering mechanism

The normalization immediately before Section 2.1 translates each nonempty IpI_p so that it contains 00. The Chinese remainder theorem then identifies a single choice of b(modP(x))b\pmod {P(x)} with independent choices of b(modp)b\pmod p for the relevant primes. Section 2.1 uses three ranges of primes:

  1. Choose bb uniformly modulo the primes p≤zp\leq z.
  2. For q∈(z,x/2]q\in(z,x/2], choose residue classes greedily so that they cover many members of (Sz+b)∩[1,y](S_z+b)\cap[1,y].
  3. Pair every remaining survivor with a distinct supported prime q∈(x/2,x]q\in(x/2,x] and cover it in the cleanup stage.

Here (2.1)--(2.3) take

y=⌈x(log⁡x)δ⌉,z=ylog⁡log⁡x(log⁡x)1/2,y=\lceil x(\log x)^\delta\rceil, \qquad z=\frac{y\log\log x}{(\log x)^{1/2}},

and (2.4) reduces the cleanup to leaving at most (ρ/2−ε)x/log⁡x(\rho/2-\varepsilon)x/\log x survivors after the middle range.

The nontrivial step is not merely to choose each middle-prime class independently. Section 2.2, especially (2.13)--(2.14), weights a progression modulo qq when all of its points surviving the early sieve through HMH^M also survive through zz. Theorem 2, equations (3.2)--(3.4), shows that these weighted classes give nearly uniform expected covering multiplicity C2>1C_2>1. Lemma 3.1, the Pippenger--Spencer/Rödl-nibble hypergraph covering lemma proved in Appendix A, converts them into deterministic, nearly disjoint classes covering almost every survivor; the large primes then clean up the rest. Theorem 3, equations (4.1)--(4.4), supplies the first- and second-moment estimates. Lemmas 5.1 and 5.2 control the correlations created when differences of progression points fall in Ip−IpI_p-I_p. These are the exact method locators behind the covering conclusion.

Jacobsthal formulation and Problem 1204

For P(x)=∏p≤xpP(x)=\prod_{p\leq x}p, the Eratosthenes sifted set is

Sx={n:gcd⁡(n,P(x))=1}.S_x=\{n:\gcd(n,P(x))=1\}.

By the Chinese remainder theorem, varying b(modP(x))b\pmod {P(x)} is exactly the same as choosing one residue class bp(modp)b_p\pmod p for every p≤xp\leq x. Thus an interval missing Sx+bS_x+b is an interval covered by the classes bp(modp)b_p\pmod p. Equivalently, up to the usual one-unit endpoint convention, its maximum possible length is the Jacobsthal gap for the primorial P(x)P(x). This is the gap/covering duality used in Section 1.1 and Remark 4.

The same residue choices encode admissibility in Problem 1204, but the optimization is different. For integers D,k≥1D,k\geq1, put

N(D,k)=max⁡(rp)p≤k#{0≤n≤D:n≢rp(modp) for every p≤k}.N(D,k)=\max_{(r_p)_{p\leq k}} \#\{0\leq n\leq D:n\not\equiv r_p\pmod p\text{ for every }p\leq k\}.

Then the problem's extremal quantity has the exact survivor formulation

A(k)=min⁡{D:N(D,k)≥k}.A(k)=\min\{D:N(D,k)\geq k\}.

Indeed, an admissible kk-set supplies an omitted class rpr_p for each p≤kp\leq k and lies among these survivors; conversely, any kk survivors form an admissible set, since primes p>kp>k automatically miss a class. The analogous B(k)B(k) problem asks for residue choices whose first kk survivors have minimum average, so it depends on their order statistics, not on the longest empty interval.

Ford--Konyagin--Maynard--Pomerance--Tao maximize a completely covered interval, that is, they seek choices for which the survivor count is zero on as long an interval as possible. Problem 1204 instead maximizes the number of admissible survivors available by a given endpoint (and, for B(k)B(k), how early they occur). The paper's hypergraph machinery is therefore structurally relevant to the same residue-class selection problem, but Theorem 1 does not estimate A(k)A(k) or B(k)B(k) and does not establish the proposed A(k)∼klog⁡kA(k)\sim k\log k.

Bears on.

  • #687: for the Eratosthenes system, Remark 4 with Example 1 gives one class modulo each prime p≤xp\le x covering [1,x(log⁡x)δ][1,x(\log x)^\delta] for every fixed δ<C(1)\delta<C(1) and all large xx, with C(1)>1/835C(1)>1/835, hence Y(x)≥x(log⁡x)δY(x)\ge x(\log x)^\delta (a translation made here). This lower bound is far weaker than the known Y(x)≫xlog⁡xlog⁡3x/log⁡2xY(x)\gg x\log x\log_3x/\log_2x, and the paper says nothing on the problem's upper-bound questions.
  • #1204: the covering construction selects residue classes as the problem's admissible sets do, but optimizes the opposite quantity, as set out above; Theorem 1 does not estimate A(k)A(k) or B(k)B(k).

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