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The block sieve with explicit coefficients and level


This page reconstructs the block sieve of the weighted-dilation manuscript, its Lemma 2.9, for the elementary estimates of the smooth-successor route. The sieve is a Brun–Hooley sieve; its block upper bound and one-block correction are the inequalities of Ford and Halberstam (The Brun–Hooley sieve, J. Number Theory 81 (2000)). The estimate is drawn from the manuscript; the explicit cutoff restriction, derivation and checks of each consumed instance are Plasma AI's, at author-recorded standing. The same statement is used at five places, listed at the end, so its constants are tracked explicitly.

The examination of 2026-10-15 refutes the frozen unrestricted cutoff statement for 0<z<10<z<1 and records refutation-failed for the consumed z≥1z\ge1 range. The independent grade, examined on 2026-10-16 UTC, is PASS for both the adverse and surviving scopes. The explicit z≥1z\ge1 hypothesis and the empty-prime paragraph below are statement and proof additions to that frozen text; the report does not purport to examine those later additions.

Statement

Let z≥1z\ge1 and let a finite set of objects carry nonnegative weights. Let P\mathcal P be a finite set of primes, all at most zz, and attach to each p∈Pp\in\mathcal P a bad condition EpE_p. For a set S⊂PS\subset\mathcal P write dS=∏p∈Spd_S=\prod_{p\in S}p and suppose that the weight of the objects on which every EpE_p, p∈Sp\in S, holds is

Xg(dS)+r(dS)(S⊂P, S=∅ included),Xg(d_S)+r(d_S)\qquad(S\subset\mathcal P,\ S=\emptyset\text{ included}),

with X≥0X\ge0 and gg multiplicative on squarefree products of P\mathcal P, where for fixed η0∈(0,1)\eta_0\in(0,1) and C≥1C\ge1

0≤g(p)≤1−η0(p∈P),∑p∈Pw<p≤w2g(p)≤C(w>1).0\le g(p)\le1-\eta_0\quad(p\in\mathcal P),\qquad \sum_{\substack{p\in\mathcal P\\ w<p\le w^2}}g(p)\le C\quad(w>1).

Let S\mathcal S be the weight of the objects on which no EpE_p holds, and G=∏p∈P(1−g(p))G=\prod_{p\in\mathcal P}(1-g(p)).

Block sieve. For every even integer h≥h0(η0,C)h\ge h_0(\eta_0,C),

∣S−XG∣≤c1e−hXG+∑d≤z4h+2∣r(d)∣,|\mathcal S-XG|\le c_1e^{-h}XG+\sum_{d\le z^{4h+2}}|r(d)|,

where dd runs over the squarefree products of P\mathcal P, and h0,c1h_0,c_1 depend only on η0\eta_0 and CC. For h=2h=2, S≤c2XG+∑d≤z10∣r(d)∣\mathcal S\le c_2XG+\sum_{d\le z^{10}}|r(d)| with c2c_2 depending only on η0\eta_0 and CC. More precisely there are polynomials UU and VV in the indicators of the EpE_p, both with coefficients in {−1,0,1}\{-1,0,1\} supported on sets SS with dS≤z4h+1d_S\le z^{4h+1}, such that pointwise V≤1E≤UV\le\mathbf 1_{\mathcal E}\le U, where E\mathcal E is the event that no EpE_p holds, U≥0U\ge0, and U−V≥0U-V\ge0 also has coefficients in {−1,0,1}\{-1,0,1\} on the same supports.

The uniformity in hh is what lets the cells of the proxy discrepancy use the growing value h=2⌈T2⌉h=2\lceil T^2\rceil, with T=log⁡log⁡xT=\log\log x.

Proof

The empty cutoff range. If 1≤z<21\le z<2, then P=∅\mathcal P=\emptyset, G=1G=1 and S=X+r(1)\mathcal S=X+r(1). The remainder sums include d=1d=1, and U=V=1U=V=1 has the required support, so both bounds hold. For z≥2z\ge2 use the following block argument. The lower cutoff is necessary: at z=1/2z=1/2, one object of weight one with X=0X=0 and r(1)=1r(1)=1 would satisfy the other hypotheses, while the remainder sums and polynomial supports omit d=1d=1.

An alternating identity. For integers t≥1t\ge1 and a0≥0a_0\ge0,

∑a=0a0(−1)a(ta)=(−1)a0(t−1a0),\sum_{a=0}^{a_0}(-1)^a\binom ta=(-1)^{a_0}\binom{t-1}{a_0},

by induction on a0a_0 with Pascal's rule. For even a0a_0 the right side is (t−1a0)≥0\binom{t-1}{a_0}\ge0, and it is at most $\binom t{a_0+1}=\binom{t-1}{a_0+1} +\binom{t-1}{a_0}$. For t=0t=0 the sum is 11.

Blocks. Put Bj=P∩(z2−j−1,z2−j]\mathcal B_j=\mathcal P\cap(z^{2^{-j-1}},z^{2^{-j}}] for j≥0j\ge0; only finitely many are nonempty, and Bj\mathcal B_j lies in an interval (w,w2](w,w^2] with w=z2−j−1w=z^{2^{-j-1}}, so ∑p∈Bjg(p)≤C\sum_{p\in\mathcal B_j}g(p)\le C. Put hj=(j+1)hh_j=(j+1)h, which is even. Let ea(j)e_a^{(j)} be the aa-th elementary symmetric polynomial in the indicators of EpE_p, p∈Bjp\in\mathcal B_j, and

Uj=∑a=0hj(−1)aea(j),Ej=ehj+1(j),Ij=1no Ep holds for p∈Bj.U_j=\sum_{a=0}^{h_j}(-1)^ae_a^{(j)},\qquad E_j=e_{h_j+1}^{(j)},\qquad I_j=\mathbf 1_{\text{no }E_p\text{ holds for }p\in\mathcal B_j}.

At an object where exactly tt conditions of block jj hold, UjU_j takes the value of the alternating sum above with a0=hja_0=h_j, and Ej=(thj+1)E_j=\binom t{h_j+1}. Hence Uj≥Ij≥0U_j\ge I_j\ge0 and 0≤Uj−Ij≤Ej0\le U_j-I_j\le E_j pointwise. Telescoping the product over blocks,

0≤∏jUj−∏jIj=∑j(∏k<jUk)(Uj−Ij)(∏k>jIk)≤∑jEj∏k≠jUk,0\le\prod_jU_j-\prod_jI_j =\sum_j\Bigl(\prod_{k<j}U_k\Bigr)(U_j-I_j)\Bigl(\prod_{k>j}I_k\Bigr) \le\sum_jE_j\prod_{k\ne j}U_k,

since every factor is nonnegative and Ik≤UkI_k\le U_k. So U=∏jUjU=\prod_jU_j and V=U−∑jEj∏k≠jUkV=U-\sum_jE_j\prod_{k\ne j}U_k satisfy V≤∏jIj=1E≤UV\le\prod_jI_j=\mathbf 1_{\mathcal E}\le U.

Coefficients. Expanding, U=∑S(−1)∣S∣∏p∈S1EpU=\sum_S(-1)^{|S|}\prod_{p\in S}\mathbf 1_{E_p} over the sets SS with ∣S∩Bj∣≤hj|S\cap\mathcal B_j|\le h_j for every jj; distinct choices in distinct blocks give distinct sets, so every coefficient is ±1\pm1. The term Ej∏k≠jUkE_j\prod_{k\ne j}U_k is supported on the sets with ∣S∩Bj∣=hj+1|S\cap\mathcal B_j|=h_j+1 and ∣S∩Bk∣≤hk|S\cap\mathcal B_k|\le h_k for k≠jk\ne j. These supports are disjoint for different jj and disjoint from that of UU, so VV and U−VU-V have coefficients in {−1,0,1}\{-1,0,1\}.

Level. On the support of UU, log⁡dS≤∑jhj2−jlog⁡z=4hlog⁡z\log d_S\le\sum_jh_j2^{-j}\log z=4h\log z, because ∑j≥0(j+1)2−j=4\sum_{j\ge0}(j+1)2^{-j}=4. A correction term adds one prime of Bj\mathcal B_j, at most z2−j≤zz^{2^{-j}}\le z. So every dSd_S in the supports is at most z4h+1z^{4h+1}.

Expectations. Let the EpE_p be independent events with probabilities g(p)g(p), so that the expectation of ∏p∈S1Ep\prod_{p\in S}\mathbf 1_{E_p} is g(dS)g(d_S). Then aj=EIj=∏p∈Bj(1−g(p))a_j=\mathbb EI_j=\prod_{p\in\mathcal B_j}(1-g(p)) and, since −log⁡(1−u)≤u/η0-\log(1-u)\le u/\eta_0 for 0≤u≤1−η00\le u\le1-\eta_0, aj≥a∗=e−C/η0a_j\ge a_*=e^{-C/\eta_0}. Also

EEj≤1(hj+1)!(∑p∈Bjg(p))hj+1≤Chj+1(hj+1)!=:ej,aj≤EUj≤aj+ej.\mathbb EE_j\le\frac1{(h_j+1)!}\Bigl(\sum_{p\in\mathcal B_j}g(p)\Bigr)^{h_j+1} \le\frac{C^{h_j+1}}{(h_j+1)!}=:e_j,\qquad a_j\le\mathbb EU_j\le a_j+e_j .

The blocks involve disjoint sets of independent events, so

G≤EU≤G eRh,E(U−V)≤∑jej∏k≠j(ak+ek)≤G RheRh,Rh=∑jejaj,G\le\mathbb EU\le G\,e^{R_h},\qquad \mathbb E(U-V)\le\sum_je_j\prod_{k\ne j}(a_k+e_k)\le G\,R_he^{R_h},\qquad R_h=\sum_j\frac{e_j}{a_j},

with G=∏jajG=\prod_ja_j. As n!≥(n/e)nn!\ge(n/e)^n, Cn/n!≤e−nC^n/n!\le e^{-n} once n≥e2Cn\ge e^2C. So for h≥e2Ch\ge e^2C,

Rh≤eC/η0∑j≥0e−(j+1)h−1≤2eC/η0−1e−h,R_h\le e^{C/\eta_0}\sum_{j\ge0}e^{-(j+1)h-1}\le2e^{C/\eta_0-1}e^{-h},

and for hh also so large that Rh≤1R_h\le1, both EU\mathbb EU and EV\mathbb EV differ from GG by at most eRhG≤c1e−hGeR_hG\le c_1e^{-h}G with c1=2eC/η0c_1=2e^{C/\eta_0}. For h=2h=2, R2≤eC/η0sinh⁡CR_2\le e^{C/\eta_0}\sinh C, so EU≤c2G\mathbb EU\le c_2G with c2=exp⁡(eC/η0sinh⁡C)c_2=\exp(e^{C/\eta_0}\sinh C).

Evaluation. For a polynomial P=∑ScS∏p∈S1EpP=\sum_Sc_S\prod_{p\in S}\mathbf 1_{E_p}, the weighted sum of PP over the objects is ∑ScS(Xg(dS)+r(dS))=X EP+∑ScSr(dS)\sum_Sc_S(Xg(d_S)+r(d_S))=X\,\mathbb EP+\sum_Sc_Sr(d_S). With ∣cS∣≤1|c_S|\le1 and the level bound, the second term is at most ∑d≤z4h+1∣r(d)∣\sum_{d\le z^{4h+1}}|r(d)|. Squeezing S\mathcal S between the sums of VV and UU proves both assertions. □\square

The consumed instances

The successor extraction and the estimates on the sibling pages use the statement exactly five times. In every instance the hypotheses are checked with the stated constants; none of them depends on a later parameter.

  1. Cells and residue classes (proxy discrepancy). The objects are the integers mm of an arbitrary real interval J′J' with m≡a(modr)m\equiv a\pmod r, where (a,r)=1(a,r)=1 and r≤LB<Wr\le L^B<W; P\mathcal P is the set of primes p≤Wp\le W with p∤rp\nmid r, EpE_p is p∣mp\mid m, g(p)=1/pg(p)=1/p and X=∣J′∣/rX=|J'|/r. By the Chinese remainder theorem ∣r(d)∣≤1|r(d)|\le1. Here η0=1/2\eta_0=1/2, and CC is an absolute bound for ∑w<p≤w21/p\sum_{w<p\le w^2}1/p, finite by Mertens' estimate. The choice is h=2⌈T2⌉h=2\lceil T^2\rceil, with level DW=W4h+2=exp⁡(O(T2L))=xo(1)D_W=W^{4h+2}=\exp(O(T^2\sqrt L))=x^{o(1)}.
  2. The per-prime sieve of the composite subtraction. For a prime p∈(xγ,xγ′]p\in(x^\gamma,x^{\gamma'}] the objects are the uu with p∣2u−1p\mid2u-1, weighted by A(u)Ψ(u/x)A(u)\Psi(u/x); P\mathcal P is the set of odd primes l≤Wl\le W, ElE_l is l∣2u−1l\mid2u-1, g(l)=1/(l−1)g(l)=1/(l-1), X=XA/(p−1)X=X_A/(p-1) and r(d)=r(pd)r(d)=r(pd) in the notation of the Type I proposition. Here g(3)=1/2g(3)=1/2, so η0=1/2\eta_0=1/2; h=2⌈T2⌉h=2\lceil T^2\rceil as in item 1.
  3. The preliminary sieve (the manuscript's (7.11)). The objects are the uu weighted by A(u)Ψ(u/x)A(u)\Psi(u/x), P\mathcal P the odd primes up to z=xb1z=x^{b_1}, EpE_p is p∣2u−1p\mid2u-1, g(p)=1/(p−1)g(p)=1/(p-1), X=XAX=X_A and r(d)r(d) the Type I remainder; h=2⌊1/(40b1)⌋h=2\lfloor1/(40b_1)\rfloor, so c1e−h≤c1e2e−1/(20b1)c_1e^{-h}\le c_1e^2e^{-1/(20b_1)} and the level is xb1(4h+2)≤x1/5+2b1x^{b_1(4h+2)}\le x^{1/5+2b_1}, below the Type I level x1/2−κ/2x^{1/2-\kappa/2} for b1<1/10b_1<1/10 and κ<1/50\kappa<1/50.
  4. Ordinary rough integers (the upper half of the bound (7.19)). The objects are the integers of (x,2x](x,2x], P\mathcal P the primes up to xb1x^{b_1}, g(p)=1/pg(p)=1/p, X=xX=x, ∣r(d)∣≤1|r(d)|\le1, and the same hh as in item 3. The remainder is O(x1/5+2b1)=o(x/L)O(x^{1/5+2b_1})=o(x/L).
  5. The balanced box (the manuscript's (7.28)–(7.30)). The objects are the lattice points of a box with mn≡−1(modD1)mn\equiv-1\pmod{D_1}; P\mathcal P is the set of odd primes l≤xθl\le x^\theta with l∤D1l\nmid D_1, with the bad residue sets of the extraction page and g(l)=ν(l)/l2≤(3l−2)/l2≤7/9g(l)=\nu(l)/l^2\le(3l-2)/l^2\le7/9, so η0=2/9\eta_0=2/9 and CC is three times the constant of item 1. Only the h=2h=2 upper bound is used, at level x10θx^{10\theta}.

In items 1 and 2 the relative error is O(e−2T2)O(e^{-2T^2}), smaller than every fixed power of LL. In items 3 and 4 it is O(e−c/b1)O(e^{-c/b_1}) with c=1/20c=1/20 and an absolute implied constant, which is the uniformity in small b1b_1 that the preliminary sieve and (7.19) state. Item 5 supplies a constant independent of κ\kappa, b1b_1, j∗∗j_{**} and the proxy precision.