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Overlapping parent preparations


A finite preparation lemma: proved

Let P\mathcal P be the odd primes at most zz, and put

λ=∑p∈P1p,k=⌊λ⌋,r=⌊2λ−2λ⌋.\lambda=\sum_{p\in\mathcal P}\frac1p,\qquad k=\lfloor\lambda\rfloor,\qquad r=\lfloor2\lambda-2\sqrt\lambda\rfloor.

As z→∞z\to\infty, there is a finite singleton sieve whose distinct moduli are squarefree products of kk primes of P\mathcal P, with full survivor set SS, and a measurable set G⊆SG\subseteq S such that

μ(G)≥12−o(1).(1)\mu(G)\ge\tfrac12-o(1). \tag{1}

Each x∈Gx\in G belongs to a parent cylinder C(x)C(x) whose modulus is a product of rr primes of P\mathcal P, and

μ(S∩C(x))μ(C(x))≤e−3λ/2.(2)\frac{\mu(S\cap C(x))}{\mu(C(x))}\le e^{-3\lambda/2}. \tag{2}

The parents are auxiliary cylinders, not installed congruences. They can overlap and can have the same modulus with different residues. The actual preparatory sieve uses at most one residue per modulus. Thus (1)--(2) establish a concrete heavily overlapping preparation, outside the disjoint-parent bounds in prepared-block entropy. They do not construct the later singleton congruences needed for a counterexample.

Random singleton preparation

Define

R(x)=#{p∈P:x mod p∈{0,1}},T={∣R−2λ∣≤2λ}.R(x)=\#\{p\in\mathcal P:x\bmod p\in\{0,1\}\},\qquad T=\{|R-2\lambda|\le2\sqrt\lambda\}.

Haar independence gives ER=2λ\mathbb ER=2\lambda and Var⁡R≤2λ\operatorname{Var}R\le2\lambda, so μ(T)≥1/2\mu(T)\ge1/2. Put

b=⌈2λ+4λ⌉,B=(bk).b=\lceil2\lambda+4\sqrt\lambda\rceil,\qquad B=\binom bk.

For each kk-element subset J⊆PJ\subseteq\mathcal P, independently install its product modulus with probability 2k/B2^k/B, and, if installed, choose its CRT digits independently and uniformly in {0,1}\{0,1\} at the primes of JJ. Since b≥2kb\ge2k, (bk)≥2k\binom bk\ge2^k, so this is a valid probability.

For a fixed xx, precisely (R(x)k)\binom{R(x)}k subsets could hit it. Each hits with probability 1/B1/B, independently over subsets. Therefore the exact probability of surviving the random preparation is

f(R(x))=(1−1B)(R(x)k).(3)f(R(x))=\left(1-\frac1B\right)^{\binom{R(x)}k}. \tag{3}

On TT,

1−f(R(x))≤(R(x)k)B≤(3/4)2λ−1=o(1)(4)1-f(R(x)) \le\frac{\binom{R(x)}k}{B} \le(3/4)^{2\sqrt\lambda-1}=o(1) \tag{4}

for sufficiently large λ\lambda. For the last bound, increase the upper binomial argument from R(x)R(x) to bb one step at a time: each reverse ratio is at most 3/43/4, and there are at least 2λ−12\sqrt\lambda-1 steps.

Conditional survival in every parent

A parent CC fixes rr success coordinates and their 0/10/1 values. Under Haar law conditioned on CC,

R=r+V,EV=2λ−O(log⁡λ),(5)R=r+V,\qquad \mathbb EV=2\lambda-O(\log\lambda), \tag{5}

uniformly over the parent. Indeed the removed reciprocal sum is at most Hr+2H_{r+2}, even if the chosen primes are the smallest available.

The elementary exponential-moment bound for this sum of independent Bernoulli variables gives

Pr⁡(V<12λ)≤exp⁡{−2λ+O(λlog⁡λ)}.(6)\Pr(V<12\sqrt\lambda) \le\exp\{-2\lambda+O(\sqrt\lambda\log\lambda)\}. \tag{6}

For example use $\Pr(V<t)\le u^{-t}\mathbb E u^V \le u^{-t}\exp(-(1-u)\mathbb EV)$, with u=λ−1/2u=\lambda^{-1/2} and t=⌈12λ⌉t=\lceil12\sqrt\lambda\rceil. Above that cutoff, r+Vr+V exceeds bb by at least 5λ5\sqrt\lambda, for large λ\lambda. In the first that many binomial-ratio steps each ratio is at least 4/34/3. Thus

(r+Vk)B≥(4/3)5λ,f(r+V)≤exp⁡{−(4/3)5λ}.\frac{\binom{r+V}k}{B}\ge(4/3)^{5\sqrt\lambda}, \qquad f(r+V)\le\exp\{-(4/3)^{5\sqrt\lambda}\}.

Integrating (3) over the parent, and using (6), proves

Esieveμ(S∩C)μ(C)≤ηλ:=exp⁡{−2λ+O(λlog⁡λ)},(7)\mathbb E_{\rm sieve} \frac{\mu(S\cap C)}{\mu(C)} \le\eta_\lambda :=\exp\{-2\lambda+O(\sqrt\lambda\log\lambda)\}, \tag{7}

uniformly over all parents.

For each x∈Tx\in T, choose C(x)C(x) deterministically before sampling the sieve, for example by taking its rr smallest success primes. Markov's inequality and (7) give

Esieveμ{x∈T:μ(S∩C(x))μ(C(x))>e−3λ/2}≤ηλe3λ/2=o(1).(8)\mathbb E_{\rm sieve}\mu\left\{x\in T: \frac{\mu(S\cap C(x))}{\mu(C(x))}>e^{-3\lambda/2}\right\} \le\eta_\lambda e^{3\lambda/2}=o(1). \tag{8}

Equation (4) also gives Esieveμ(T∖S)=o(1)\mathbb E_{\rm sieve}\mu(T\setminus S)=o(1). Choose a realization with the sum of these two defects at most its expectation. The remaining part of TT is the claimed GG. In particular, no union bound over the very numerous parents is used.

Activated arithmetic version

Fix integers X≥2QX\ge2Q and Q≥zr+1Q\ge z^{r+1} before sampling the sieve. The realization can be chosen to satisfy (1)--(2) and additionally

∑n∈G∩[Q,X]1/n∑Q≤n≤X1/n≥12−o(1).(9)\frac{\sum_{n\in G\cap[Q,X]}1/n}{\sum_{Q\le n\le X}1/n} \ge\tfrac12-o(1). \tag{9}

To verify this, set s=∣P∣s=|\mathcal P|. Direct CRT counting of the one-prime and two-prime conditions gives, for every Y≥1Y\ge1,

∑n≤Y(R(n)−2λ)2=Y∑p∈P(2/p−4/p2)+O(s2).(10)\sum_{n\le Y}(R(n)-2\lambda)^2 =Y\sum_{p\in\mathcal P}(2/p-4/p^2)+O(s^2). \tag{10}

The mean-count error contributes O(λs)O(\lambda s), which is included in O(s2)O(s^2). Partial summation on [Q,X][Q,X] and Chebyshev put at least 1/2−o(1)1/2-o(1) of its normalized harmonic measure on TT: the normalized error is O(s2/(λQ∑Q≤n≤X1/n))=o(1)O(s^2/(\lambda Q\sum_{Q\le n\le X}1/n))=o(1).

The estimates (4) and (7)--(8) hold after replacing Haar sampling of xx by any fixed probability measure, because the conditional-parent expectation is uniform and C(x)C(x) is fixed in advance. Apply them simultaneously to Haar measure and to this normalized harmonic measure, then choose a realization whose sum of all four bad masses is at most its expectation. This proves (9).

All installed moduli are at most zk<Qz^k<Q, and all parent moduli are at most zr<Qz^r<Q, for large zz. Hence every preparatory class is active at all integers counted in (9). The installed distinct moduli can be ordered strictly increasingly. The realization may depend on Q,XQ,X; no simultaneous-in-XX assertion is made.

A quantified obstruction to the missing refinement

Any appended modulus refining a parent has at least rr distinct prime factors from P\mathcal P. Let

Dr={q:ωP(q)≥r},βr=Pr⁡(∑p∈PBernoulli(1/p)≥r).D_r=\{q:\omega_{\mathcal P}(q)\ge r\},\qquad \beta_r=\Pr\left(\sum_{p\in\mathcal P} {\rm Bernoulli}(1/p)\ge r\right).

The full multiples union generated by DrD_r has measure βr\beta_r. Chernoff's inequality at the parameter log⁡2\log2 gives

βr≤2−r∏p∈P(1+1/p)≤exp⁡{−(2log⁡2−1)λ+O(λ)}.(11)\beta_r\le2^{-r}\prod_{p\in\mathcal P}(1+1/p) \le\exp\{-(2\log2-1)\lambda+O(\sqrt\lambda)\}. \tag{11}

For arbitrary singleton appended residues, distinctness and the exact multiples harmonic inequality imply

Hhits with positive quotient t≤K(X)HX≤H⌊K⌋∑q≤X, q∈Dr1/qHX≤H⌊K⌋βr.(12)\frac{H_{\text{hits with positive quotient }t\le K}(X)}{H_X} \le H_{\lfloor K\rfloor} \frac{\sum_{q\le X,\ q\in D_r}1/q}{H_X} \le H_{\lfloor K\rfloor}\beta_r. \tag{12}

Consequently a fixed positive harmonic deletion cannot be obtained from bounded quotients, or even from quotient ranges with

log⁡K≤exp⁡{(2log⁡2−1−ε)λ}\log K\le \exp\{(2\log2-1-\varepsilon)\lambda\}

for a fixed ε>0\varepsilon>0 and large λ\lambda.

The open step is to choose distinct appended moduli whose many active progression points remain in the protected arithmetic survivors, while their total additional conditional Haar footprint tends to zero. The preparation lemma proves neither that step nor a logarithmic density counterexample. It shows why restricting to disjoint parents does not exhaust possible preparations.

Product truncation lowers the preparatory activation scale

The preparation can be strengthened: all installed moduli may be at most zz, all parents have modulus below z2z^2, and (9) already holds on [Q,X][Q,X] for Q=⌈z2⌉Q=\lceil z^2\rceil and any chosen X≥2QX\ge2Q. The realization may depend on XX. Replace the parameters by

k=⌊λ⌋,y=z1/k,r=⌊2λ−6λ⌋,b=⌈2λ+4λ⌉,B=(bk).(13)k=\lfloor\lambda\rfloor,\quad y=z^{1/k},\quad r=\lfloor2\lambda-6\sqrt\lambda\rfloor, \quad b=\lceil2\lambda+4\sqrt\lambda\rceil,\quad B=\binom bk. \tag{13}

Take zz large enough that k,r>0k,r>0. Independently install each kk-element prime subset JJ only when ∏p∈Jp≤z\prod_{p\in J}p\le z, with the same probability 2k/B2^k/B and uniform 0/10/1 CRT digits. An eligible subset hits a compatible point with probability 1/B1/B.

Write RI(x)R_I(x) for its number of success primes in II, and set

T0={∣R[3,z]−2λ∣≤2λ, R(y,z]≤λ}.(14)T_0=\{|R_{[3,z]}-2\lambda|\le2\sqrt\lambda,\ R_{(y,z]}\le\sqrt\lambda\}. \tag{14}

The elementary prime-counting upper bound and partial summation give

∑y<p≤z1p≪1+log⁡log⁡zlog⁡y=O(log⁡(2k))=O(log⁡λ).(15)\sum_{y<p\le z}\frac1p \ll1+\log\frac{\log z}{\log y} =O(\log(2k))=O(\log\lambda). \tag{15}

Haar Chebyshev for the first condition and Markov for the second give μ(T0)≥12−o(1)\mu(T_0)\ge\tfrac12-o(1).

The same holds for normalized harmonic measure ν\nu on [Q,X][Q,X]. With s=#Ps=\#\mathcal P, the CRT identity (10) and partial summation give

Eν(R[3,z]−2λ)2≤2λ+O ⁣(s2QH[Q,X])=2λ+O(1),\mathbb E_\nu(R_{[3,z]}-2\lambda)^2 \le2\lambda+O\!\left(\frac{s^2}{QH_{[Q,X]}}\right) =2\lambda+O(1),

where H[Q,X]=∑Q≤n≤X1/n≫1H_{[Q,X]}=\sum_{Q\le n\le X}1/n\gg1. Similarly,

EνR(y,z]=2∑y<p≤z1p+O ⁣(sQH[Q,X])=O(log⁡λ).\mathbb E_\nu R_{(y,z]} =2\sum_{y<p\le z}\frac1p+ O\!\left(\frac{s}{QH_{[Q,X]}}\right) =O(\log\lambda).

Thus ν(T0)≥12−o(1)\nu(T_0)\ge\tfrac12-o(1).

Every x∈T0x\in T_0 has at least 2λ−3λ2\lambda-3\sqrt\lambda success primes at most yy. Choose rr of them deterministically as its parent C(x)C(x), before sampling the sieve. Its modulus satisfies

d≤yr=zr/k<z2.(16)d\le y^r=z^{r/k}<z^2. \tag{16}

Product truncation only decreases the old deletion bound:

Pr⁡(x∉S)≤(R[3,z](x)k)B≤(3/4)2λ−O(1)=o(1)(x∈T0).(17)\Pr(x\notin S)\le\frac{\binom{R_{[3,z]}(x)}k}{B} \le(3/4)^{2\sqrt\lambda-O(1)}=o(1) \qquad(x\in T_0). \tag{17}

Conditioned on any such low-prime parent,

R[3,y]=r+V,EV=2λ−O(log⁡λ).(18)R_{[3,y]}=r+V,\qquad \mathbb EV=2\lambda-O(\log\lambda). \tag{18}

Here (15) accounts for the omitted large primes, while the reciprocal sum of the rr fixed primes is O(log⁡(r+2))O(\log(r+2)). The exponential-moment argument in (6), now with cutoff 15λ15\sqrt\lambda, gives

Pr⁡(V<15λ)≤exp⁡{−2λ+O(λlog⁡λ)}.(19)\Pr(V<15\sqrt\lambda) \le\exp\{-2\lambda+O(\sqrt\lambda\log\lambda)\}. \tag{19}

Above that cutoff, r+Vr+V exceeds bb by at least 5λ−O(1)5\sqrt\lambda-O(1). Every kk-subset of these low successes is eligible, since its product is at most yk=zy^k=z. Independence and the binomial-ratio estimate therefore give

Esieve1S(x)≤(1−1B)(r+Vk)≤exp⁡{−(4/3)5λ−O(1)}.(20)\mathbb E_{\rm sieve}\mathbf1_S(x) \le\left(1-\frac1B\right)^{\binom{r+V}k} \le\exp\{-(4/3)^{5\sqrt\lambda-O(1)}\}. \tag{20}

Integrating over the parent and using (19) proves the uniform bound

Esieveμ(S∩C)μ(C)≤exp⁡{−2λ+O(λlog⁡λ)}.(21)\mathbb E_{\rm sieve}\frac{\mu(S\cap C)}{\mu(C)} \le\exp\{-2\lambda+O(\sqrt\lambda\log\lambda)\}. \tag{21}

Apply Markov at threshold e−3λ/2e^{-3\lambda/2} in (21), and integrate over the predetermined parents C(x)C(x), separately against Haar measure and ν\nu. Together with (17), the sum of all four expected bad masses is o(1)o(1). Choose a realization with that sum at most its expectation and retain

G={x∈T0∩S:μ(S∩C(x))/μ(C(x))≤e−3λ/2}.G=\{x\in T_0\cap S: \mu(S\cap C(x))/\mu(C(x))\le e^{-3\lambda/2}\}.

Then

μ(G)≥12−o(1),ν(G)≥12−o(1).(22)\mu(G)\ge\tfrac12-o(1),\qquad \nu(G)\ge\tfrac12-o(1). \tag{22}

This proves the strengthened preparation.

Every installed modulus is a distinct squarefree kk-fold prime product at most zz, so all preparatory congruences are active on [Q,X][Q,X] and can be ordered strictly increasingly. The parents remain auxiliary, potentially overlapping cylinders, not repeated installed congruences. A distinct appended refinement giving a fixed positive normalized harmonic anomaly has still not been constructed.

The later bounded-overlap refinement theorem rules out this missing step at every cutoff if the appended refinements have subexponential overlap within each parent and exponentially small incremental footprint. Its low-success-count comparison with the actual preparatory survivors requires no overlap assumption. The unresolved case is the conversion of a raw sum of conditional cylinder masses to their union measure when in-parent overlap is unrestricted.

Lower-rank parents: another proved preparation

The choice of parent rank near 2λ2\lambda is not forced. There is a weaker conditional-survival estimate with parents of rank k=⌊λ⌋k=\lfloor\lambda\rfloor, which avoids the exponentially sparse modulus-support condition of the rank-2λ2\lambda version. It is still only a preparation, not a counterexample.

Keep the product-truncated random sieve and the parameters k,y,b,Bk,y,b,B from (13), but choose a parent using exactly kk success primes at most yy, rather than rr of them. Every point of T0T_0 has enough such primes, and this parent has modulus at most yk=zy^k=z. Uniformly over all these parents,

Esieveμ(S∩C)μ(C)≤exp⁡{−(1−log⁡2)λ+O(λ)}.(23)\mathbb E_{\rm sieve}\frac{\mu(S\cap C)}{\mu(C)} \le\exp\{-(1-\log2)\lambda+O(\sqrt\lambda)\}. \tag{23}

Indeed, conditioned on the parent, the number of low-prime successes is k+Vk+V, with EV=2λ−O(log⁡λ)\mathbb EV=2\lambda-O(\log\lambda). The Bernoulli exponential-moment bound gives, for a fixed sufficiently large absolute AA,

Pr⁡(V≤λ+Aλ)≤2λ+AλE2−V≤exp⁡{−(1−log⁡2)λ+O(λ)}.\Pr(V\le\lambda+A\sqrt\lambda) \le2^{\lambda+A\sqrt\lambda}\mathbb E2^{-V} \le\exp\{-(1-\log2)\lambda+O(\sqrt\lambda)\}.

Above this cutoff, k+Vk+V exceeds the binomial threshold bb by at least 5λ5\sqrt\lambda, after increasing AA. All kk-subsets of these low-prime successes have product at most zz, so the same binomial-ratio calculation as (20) makes the conditional random-survival probability at most exp⁡{−(4/3)5λ−O(1)}\exp\{-(4/3)^{5\sqrt\lambda-O(1)}\}. Integrating proves (23).

For each point of T0T_0, fix its parent before sampling the sieve by taking its kk smallest success primes at most yy, with their actual 0/1 digits. This is a finite-coordinate measurable rule. Markov's inequality at threshold exp⁡(−(1−log⁡2)λ/2)\exp(-(1-\log2)\lambda/2), together with (17), gives a realization with a set G⊆S∩T0G\subseteq S\cap T_0 satisfying

μ(G)≥12−o(1),ν(G)≥12−o(1),μ(S∩C(x))μ(C(x))≤e−(1−log⁡2)λ/2(x∈G),(24)\mu(G)\ge\tfrac12-o(1),\qquad \nu(G)\ge\tfrac12-o(1),\qquad \frac{\mu(S\cap C(x))}{\mu(C(x))} \le e^{-(1-\log2)\lambda/2}\quad(x\in G), \tag{24}

where ν\nu is the chosen harmonic measure on [z2,X][z^2,X] from the product-truncation argument. Its uniform expectation proof allows Haar and ν\nu to be imposed simultaneously exactly as before. All actual preparatory moduli remain distinct and at most zz; the parents are auxiliary and may overlap.

The rank threshold k≈λk\approx\lambda no longer supplies an exponentially small Chernoff bound for the reciprocal support of possible refined moduli. Also a typical point can lie in roughly (2λλ)\binom{2\lambda}{\lambda} parents, rather than the subexponential number in the rank-2λ2\lambda construction. Thus the new weighted and overlap obstructions do not apply with their vanishing errors unchanged. No distinct refinements with a fixed harmonic anomaly and small incremental union footprint have been obtained from (24). The difficulty is controlling the union over a full logarithmic epoch, not merely finding one parent of small conditional survivor measure.

Status of mixed-root and coding attempts

The last construction attempts used the lower-rank parents above, and also intermediate parent ranks between λ\lambda and 2λ2\lambda. No assignment of distinct appended moduli was found that both removes a fixed positive normalized harmonic mass over an epoch and has vanishing incremental Haar union measure. The proved single-parent rarity estimates do not supply that union estimate. This is a missing step, not an impossibility theorem for these lower-rank constructions.

For mixed 0/1 residues, the exact identity available at any hit is

aq2≡aq(modq),n≡aq(modq)⟹q∣n(n−1).a_q^2\equiv a_q\pmod q,\quad n\equiv a_q\pmod q \quad\Longrightarrow\quad q\mid n(n-1).

This permits attempts to encode choices among divisors of n(n−1)n(n-1). But separating codes for divisibility-comparable moduli does not exclude a different, incomparable divisor from covering the same integer. Neither a bound for these cross-scale collisions nor a private canonical witness construction was proved. Also, the size of n(n−1)/qn(n-1)/q does not by itself control its number of old prime factors: selecting idempotent roots can bias that cofactor. No typical-prime-factor heuristic for it is used in (23)--(24) or in any claimed theorem.

Limits of endpoint accounting and asymmetric colors

The subsequent construction attempt did not produce the missing overlapping refinements. Two precise restrictions on its proposed accounting can be retained.

First, if one selected integer nq≥qn_q\ge q is assigned to each distinct modulus, and the selected endpoints have harmonic mass at least cHXcH_X, then

∑q≤X1q≥∑nq≤X1nq≥cHX.(25)\sum_{q\le X}\frac1q \ge\sum_{n_q\le X}\frac1{n_q}\ge cH_X. \tag{25}

Thus an upper certificate using only μ(S∩Cq)≤η/q\mu(S\cap C_q)\le\eta/q and then summing these bounds cannot tend to zero unless ηHX→0\eta H_X\to0. This is a limitation of that certificate, not a lower bound for the actual incremental union. The lower-rank preparation's available exponent in (24) does not meet this requirement over an epoch starting at z2z^2. Smaller actual cell masses or coordinated overlap could still change the situation.

Second, consider a finite pool of odd primes, with allowed success digits Ep={0}E_p=\{0\} or {0,1}\{0,1\}. Suppose every preparatory modulus is squarefree and its prescribed digits belong to these sets. Let a parent CC fix success digits at a subset JJ of the pool. If S∩C≠∅S\cap C\ne\varnothing, then

μ(S∣C)≥∏p∉J(1−∣Ep∣/p).(26)\mu(S\mid C)\ge \prod_{p\notin J}(1-|E_p|/p). \tag{26}

Indeed, points in CC with nonsuccess digits at every pool prime outside JJ avoid all preparatory classes using such a prime. Any remaining preparatory class hitting such a point would use only primes in JJ, and would then contain the whole parent, contrary to its nonempty intersection with SS. Independence proves (26).

Writing λ=∑p1/p\lambda=\sum_p1/p and λ1=∑p:Ep={0,1}1/p\lambda_1=\sum_{p:E_p=\{0,1\}}1/p, the convergent quadratic error in the logarithm of this product gives the weaker uniform bound

μ(S∣C)≥exp⁡(−λ−λ1−O(1)).\mu(S\mid C)\ge\exp(-\lambda-\lambda_1-O(1)).

This does not control unions of overlapping parents. The attempted asymmetric-color variation supplied no rigorous improvement of their total incremental footprint; heuristic exponent balances are not used as an impossibility theorem here.

Simply enlarging polynomial epochs also did not evade the existing weighted bound: for the rank 2λ−o(λ)2\lambda-o(\lambda) parents, it already extends to log⁡X≤exp⁡((1+2log⁡2−ε)λ)\log X\le\exp((1+2\log2-\varepsilon)\lambda). No new counterexample mechanism or general exclusion was proved.