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Prime block obstructions


The constructions here defeat proposed intermediate lemmas. Neither gives private positive integer endpoints or a counterexample to Problem 25.

Positive density does not yield a scaled Behrend subfamily

Call BB Behrend when its full multiples union has Haar measure one; by the established multiples theorem this is equivalent to logarithmic density one for that union.

Theorem. For every 0<η<10<\eta<1 there is a set DD of natural density greater than 1−η1-\eta such that, for every integer d≥1d\ge1, the set

Bd={b≥2:db∈D}B_d=\{b\ge2:db\in D\}

is not Behrend. In particular no subfamily of DD of the form dBdB, with 1∉B1\notin B, can have BB Behrend.

Proof. Choose disjoint finite prime blocks PjP_j such that

εj=∏p∈Pj(1−1/p)>0,∑jεj<η.\varepsilon_j=\prod_{p\in P_j}(1-1/p)>0, \qquad\sum_j\varepsilon_j<\eta.

Successive finite blocks exist by divergence of the prime reciprocal sum. Put Lj=∏p∈PjpL_j=\prod_{p\in P_j}p and choose increasing integers Nj≥Lj/εjN_j\ge L_j/\varepsilon_j. Define

D={n≥N1:(n,Lj)>1 whenever Nj≤n}.D=\{n\ge N_1:(n,L_j)>1\text{ whenever }N_j\le n\}.

Let SkS_k be the periodic set satisfying the first kk block conditions. CRT gives d(Sk)=δk=∏j≤k(1−εj)d(S_k)=\delta_k=\prod_{j\le k}(1-\varepsilon_j), and DD is eventually contained in SkS_k. If X≥NjX\ge N_j, the number of integers at most XX failing block jj is at most

εjX+Lj≤2εjX.\varepsilon_jX+L_j\le2\varepsilon_jX.

Thus

d‾(D)≥δk−2∑j>kεj,d‾(D)≤δk.\underline d(D)\ge\delta_k-2\sum_{j>k}\varepsilon_j, \qquad\overline d(D)\le\delta_k.

Letting k→∞k\to\infty proves d(D)=δ=∏j(1−εj)>1−ηd(D)=\delta=\prod_j(1-\varepsilon_j)>1-\eta.

Fix dd and choose a block jj with (d,Lj)=1(d,L_j)=1. The exceptional set

F={b∈Bd:(b,Lj)=1}F=\{b\in B_d:(b,L_j)=1\}

is finite, because every member has db<Njdb<N_j. It excludes 11, so μ(M(F))<1\mu(M(F))<1: integers coprime to the finitely many prime factors of FF avoid M(F)M(F). Every other member of BdB_d has a prime factor in PjP_j. Consequently

M(Bd)⊆M(F)∪M(Pj).M(B_d)\subseteq M(F)\cup M(P_j).

The two sets on the right depend on disjoint prime coordinates, since each member of FF is coprime to LjL_j. Their union has measure

1−(1−μ(M(F)))εj<1.1-(1-\mu(M(F)))\varepsilon_j<1.

This proves the theorem. □\square

A positive-measure tail need not contain a divisibility cylinder

The thresholds may also be chosen so that Nj+1>∏i≤jmax⁡PiN_{j+1}>\prod_{i\le j}\max P_i. Then

⋂Y≥1⋃q∈D, q>YqZ^=F∞:={z:each Pj contains a prime dividing z}.\bigcap_{Y\ge1}\bigcup_{q\in D,\ q>Y}q\widehat{\mathbb Z} =F_\infty:=\{z:\text{each }P_j\text{ contains a prime dividing }z\}.

One inclusion follows from the eventual block requirements on DD. For the other, choose a dividing prime pi∈Pip_i\in P_i for each ii and put dj=∏i≤jpid_j=\prod_{i\le j}p_i. These grow without bound, satisfy dj<Nj+1d_j<N_{j+1}, and eventually belong to DD, since every condition active at djd_j has index at most jj. They all divide zz. The event F∞F_\infty has measure δ>0\delta>0, but for any dd a fresh block coprime to dd has positive conditional probability of being missed on dZ^d\widehat{\mathbb Z}. Thus no divisibility cylinder is contained in F∞F_\infty, even up to a null set.

Marginal bounds do not control conditional survivor fractions

A proposed endpoint estimate used a finite period PP, a survivor set S⊆Z/PZS\subseteq\mathbb Z/P\mathbb Z, and

f(q,n)=∣S∩[n](q,P)∣P/(q,P).f(q,n)=\frac{|S\cap[n]_{(q,P)}|}{P/(q,P)}.

Even if a measure γ\gamma on pairs (q,n)(q,n) has both marginals bounded by uniform measure, has fixed mass 1/21/2, and is supported on n∈Sn\in S with ∣S∣/P=1/2|S|/P=1/2, the integral ∫f dγ\int f\,d\gamma can tend to zero.

Take PP to be the product of the primes up to a growing bound. Write

K(n)=∣{p∣P:p∣n}∣,μ=∑p∣P1p→∞,C=∑p∣P1p2<1.K(n)=|\{p\mid P:p\mid n\}|,\qquad \mu=\sum_{p\mid P}\frac1p\to\infty,\qquad C=\sum_{p\mid P}\frac1{p^2}<1.

For uniform n mod Pn\bmod P, EK=μ\mathbb EK=\mu and Var⁡K≤μ\operatorname{Var}K\le\mu. Chebyshev shows that at least half the residues have K(n)≤t:=μ+2μK(n)\le t:=\mu+\sqrt{2\mu}. Choose exactly P/2P/2 of these residues as SS, and set

γ=1P∑n∈Sδ(n,n).\gamma=\frac1P\sum_{n\in S}\delta_{(n,n)}.

Its mass and marginals have the claimed properties.

Generate nn uniformly, then generate mm uniformly in the residue class [n](n,P)[n]_{(n,P)}. The prime coordinates of mm are independent and

Pr⁡(p∣m)=2p−1p2.\Pr(p\mid m)=\frac2p-\frac1{p^2}.

Indeed a zero coordinate of nn forces a zero coordinate of mm; otherwise the latter is uniform. Hence

∫f dγ=Pr⁡(n∈S,m∈S)≤Pr⁡(K(m)≤t)≤2μ(μ−C−2μ)2⟶0.\int f\,d\gamma =\Pr(n\in S,m\in S) \le\Pr(K(m)\le t) \le\frac{2\mu}{(\mu-C-\sqrt{2\mu})^2}\longrightarrow0.

The last inequality applies once μ−C−2μ>0\mu-C-\sqrt{2\mu}>0. A Chernoff bound with parameter 1/21/2 gives the stronger bound

∫f dγ≤exp⁡(−(1−log⁡2)μ+2μlog⁡2+C/2).\int f\,d\gamma \le\exp\bigl(-(1-\log2)\mu+\sqrt{2\mu}\log2+C/2\bigr).

This is only a finite coupling obstruction. Such a coupling is not a construction of actual first-kill masses, and it does not account for the integer sizes needed to realize many logarithmic scales.

Primitive small-footprint families with a large atom kernel

There are finite primitive squarefree families DD with full multiples footprints βD→0\beta_D\to0, and cutoffs X→∞X\to\infty, for which

1log⁡X∑q∈Dlog⁡log⁡qq⟶∞.(4)\frac1{\log X}\sum_{q\in D}\frac{\log\log q}{q}\longrightarrow\infty. \tag{4}

Thus the atom kernel arising when the coherent annulus estimate is summed over many bands cannot be controlled solely by primitivity and footprint.

Let Y→∞Y\to\infty, put L=log⁡log⁡YL=\log\log Y, and take the prime pool P={p:L3<p≤Y}\mathcal P=\{p:L^3<p\le Y\}. Write

λ=∑p∈P1p=L−log⁡log⁡L+O(1),r=⌈λ+12λlog⁡λ⌉.\lambda=\sum_{p\in\mathcal P}\frac1p =L-\log\log L+O(1),\qquad r=\left\lceil\lambda+\tfrac12\sqrt{\lambda\log\lambda}\right\rceil.

The reciprocal weight of all products of rr distinct pool primes is

S=∑∣A∣=r1∏p∈Ap=(1+o(1))λrr!≍eλλ−5/8.(5)S=\sum_{|A|=r}\frac1{\prod_{p\in A}p} =(1+o(1))\frac{\lambda^r}{r!} \asymp e^\lambda\lambda^{-5/8}. \tag{5}

Indeed, normalize the weights 1/p1/p to sample rr primes independently. The collision probability is at most (r2)/(λL3)=O(L−2)\binom r2/(\lambda L^3)=O(L^{-2}). Stirling's formula, with r−λ=12λlog⁡λ+O(1)r-\lambda=\tfrac12\sqrt{\lambda\log\lambda}+O(1), proves (5). The elementary Euler-product bounds already established in the wiki give eλ≍log⁡Y/log⁡Le^\lambda\asymp\log Y/\log L.

For a Haar integer, let NN count the pool primes that divide it. Its mean is λ\lambda and variance at most λ\lambda. Thus the full footprint of all these products is

Pr⁡(N≥r)≤4log⁡λ⟶0.(6)\Pr(N\ge r)\le\frac{4}{\log\lambda}\longrightarrow0. \tag{6}

Restrict the products to Ya≤q≤YCY^a\le q\le Y^C, where a>0a>0 is a sufficiently small fixed constant and CC a sufficiently large fixed constant. This retains at least half of SS. For the upper cutoff, the mean of log⁡q\log q under normalized reciprocal weights is at most

(1+o(1))rλ∑p∈Plog⁡pp≪log⁡Y,(1+o(1))\frac r\lambda \sum_{p\in\mathcal P}\frac{\log p}{p}\ll\log Y,

using the elementary Chebyshev prime-sum bound. Markov's inequality therefore discards at most S/4S/4 when CC is large. For the lower cutoff, a product below YaY^a uses only primes below YaY^a. Their reciprocal sum is at most λ−c\lambda-c, with arbitrarily large fixed cc available by taking aa small, since ∑Ya<p≤Y1/p=log⁡(1/a)+O(1)\sum_{Y^a<p\le Y}1/p=\log(1/a)+O(1). Its total weight relative to SS is at most (1+o(1))(1−c/λ)r(1+o(1))(1-c/\lambda)^r, and is less than 1/41/4 for an appropriate fixed cc.

Let DD be the retained products and X=YCX=Y^C. The family is primitive because all its squarefree members have the same number rr of prime factors. Equation (6) still bounds its footprint. Since log⁡log⁡q=L+Oa,C(1)\log\log q=L+O_{a,C}(1) throughout the retained range, (5) gives

1log⁡X∑q∈Dlog⁡log⁡qq≫L3/8log⁡L⟶∞,\frac1{\log X}\sum_{q\in D}\frac{\log\log q}{q} \gg\frac{L^{3/8}}{\log L}\longrightarrow\infty,

proving (4).

Tautness does not imply the weighted reciprocal criterion

These finite blocks can be concatenated into an infinite primitive taut set with arbitrarily small full footprint and unbounded WP(X)/log⁡XW_P(X)/\log X. Here taut means that deleting any one generator strictly decreases the full multiples-union measure.

Choose successive YjY_j so large that the prime pools ((log⁡log⁡Yj)3,Yj]((\log\log Y_j)^3,Y_j] are disjoint and ordered, their trimmed modulus ranges are also ordered, and their footprints have sum less than a prescribed ε<1\varepsilon<1. Let PP be the union of the corresponding finite blocks. Disjoint prime supports and equal rank within each block make PP primitive. Its full footprint is at most ε\varepsilon. For any generator qq in block jj, the event that exactly its rjr_j pool primes divide a Haar integer has positive probability and makes qq the unique certificate in its block. Independently avoiding the other blocks has positive probability ∏i≠j(1−βi)>0\prod_{i\ne j}(1-\beta_i)>0. Thus qq has a positive private Haar region, proving tautness.

At Xj=YjCX_j=Y_j^C, the jjth block alone gives

WP(Xj)log⁡Xj≥aC∑q∈Dj1q⟶∞\frac{W_P(X_j)}{\log X_j} \ge\frac aC\sum_{q\in D_j}\frac1q\longrightarrow\infty

by (5). This refutes the proposed route from tautification to the weighted logarithmic criterion. It does not supply a coherent logarithmic-density anomaly.

Even diagonal profinite fibers need not return in Haar measure

For every ε>0\varepsilon>0 there is a compact S⊆G=Z^S\subseteq G=\widehat{\mathbb Z}, with μ(S)>1−ε\mu(S)>1-\varepsilon, such that for Haar-almost every r∈Sr\in S,

mrG(S)=0.(7)m_{rG}(S)=0. \tag{7}

Here mrGm_{rG} is normalized Haar measure on the closed subgroup rGrG, not a ratio of ambient Haar measures; that subgroup may have ambient measure zero.

Let R,UR,U be independent Haar points and put L(y)=∑p≤y1/pL(y)=\sum_{p\le y}1/p. Independence across primes gives

#{p≤y:p∣R}L(y)⟶1almost surely.\frac{\#\{p\le y:p\mid R\}}{L(y)}\longrightarrow1 \quad\text{almost surely}.

For the product RURU, the prime-divisibility indicators are also independent, now with probabilities 2/p−1/p22/p-1/p^2. Consequently their normalized count tends almost surely to 22. Both assertions follow directly from Chebyshev and Borel--Cantelli along cutoffs with L(yk)=k2+O(1)L(y_k)=k^2+O(1): the variances are O(L(yk))O(L(y_k)), so the relative error probabilities are summable. Monotonicity of the counts and L(yk+1)/L(yk)→1L(y_{k+1})/L(y_k)\to1 interpolate between cutoffs.

Thus the law of RURU is singular to Haar measure. The Borel set where the displayed limit is 11 has full Haar measure and zero product-law measure. Inner regularity supplies a compact subset SS of that set with μ(S)>1−ε\mu(S)>1-\varepsilon. Hence

0=Pr⁡(RU∈S)=∫GmrG(S) dμ(r),0=\Pr(RU\in S)=\int_G m_{rG}(S)\,d\mu(r),

because multiplication by rr pushes Haar measure onto Haar measure of its compact image rGrG. Nonnegativity proves (7).

For example, the diagonal measure obtained by sending 1Sμ\mathbf1_S\mu under r↦(q,n)=(r,r)r\mapsto(q,n)=(r,r) has two marginals bounded by Haar measure and lies on n∈Sn\in S. Nevertheless almost every corresponding affine ideal n+qG=rGn+qG=rG has zero normalized Haar intersection with SS. This defeats a proposed positive-fiber return argument based only on those marginals, even for q=nq=n. It constructs no positive integer private endpoints: a typical profinite rr has infinitely many prime divisors, and no comparison between a numerical modulus and an integer witness is supplied.