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Conditioned endpoint blocks


This is a finite obstruction, not a counterexample to Problem 25. It defeats a proposed scale-by-scale charging inequality. An amortized argument would have to account for the earlier sieve which prepares each block, not only the new endpoints and their incremental Haar measure.

Statement

For each fixed integer k≥1k\ge1, put L=2kL=2^k. For arbitrarily large multiples QQ of 4L4L, there is a finite distinct-modulus singleton sieve using only moduli below 2Q2Q, with at least Q/(4L)Q/(4L) first-kill endpoints n=q∈[Q,2Q)n=q\in[Q,2Q). The sum τ\tau of the full first-kill densities of these new endpoint classes satisfies

τ≪L(log⁡Q)−(1+k/2).(1)\tau\ll_L(\log Q)^{-(1+k/2)}. \tag{1}

Consequently there are no absolute CC and positive function ff for which every such block satisfies

τ≥f(α)(log⁡Q)C,#{new endpoints in [Q,2Q)}≥αQ.(2)\tau\ge\frac{f(\alpha)}{(\log Q)^C}, \qquad\#\{\text{new endpoints in }[Q,2Q)\}\ge\alpha Q. \tag{2}

Choose kk with 1+k/2>C1+k/2>C and fix α=1/(4L)\alpha=1/(4L).

The earlier congruences need not themselves have private endpoints. Thus this does not disprove a version of (2) imposing that additional condition on the entire earlier family.

Preparing a protected set with uniformly distributed empty residues

Fix c=1/1000c=1/1000 and set

H=Q/L,J=[Q/L,2Q/L)∩Z,N=⌈Qclog⁡Q⌉.H=Q/L,\quad J=[Q/L,2Q/L)\cap\mathbb Z,\quad N=\left\lceil\frac{Q}{c\log Q}\right\rceil.

We take QQ sufficiently large in terms of LL, so L<N<QL<N<Q. Install the kk classes

2j−1(mod2j),1≤j≤k.2^{j-1}\pmod{2^j},\qquad1\le j\le k.

Their full survivor set is exactly LZL\mathbb Z. For each future modulus N≤q<QN\le q<Q, write

gq=(q,L),rq=q/gq.g_q=(q,L),\qquad r_q=q/g_q.

Every effective modulus satisfies rq≥N/L≫LQ/log⁡Qr_q\ge N/L\gg_L Q/\log Q, and a given rr arises from at most k+1k+1 original moduli. Indeed q=2erq=2^e r with 0≤e≤k0\le e\le k.

Select S⊆JS\subseteq J by retaining each integer independently with probability 1/21/2. For each distinct effective modulus rr, let

Er={b mod r:S∩[b]r=∅},mr=∣Er∣.E_r=\{b\bmod r:S\cap[b]_r=\varnothing\},\qquad m_r=|E_r|.

The indicators of b∈Erb\in E_r are independent as bb varies with rr fixed, since their sets of sampled integers are disjoint. If ℓr,b=∣J∩[b]r∣\ell_{r,b}=|J\cap[b]_r|, their means are 2−ℓr,b2^{-\ell_{r,b}}. We have

ℓr,b≤H/r+1≤clog⁡Q+1,\ell_{r,b}\le H/r+1\le c\log Q+1,

so all these means are at least ρ:=Q−1/100\rho:=Q^{-1/100} for large QQ.

Put G=Q1/4G=Q^{1/4} and ϵ=Q−1/10\epsilon=Q^{-1/10}. With probability tending to one, simultaneously for all the effective rr, all d∣rd\mid r with d≤Gd\le G, and all u mod du\bmod d,

mr≥12rρ,∣Er∩[u]d∣mr=1+O(ϵ)d.(3)m_r\ge\tfrac12r\rho, \qquad \frac{|E_r\cap[u]_d|}{m_r} =\frac{1+O(\epsilon)}d. \tag{3}

Here and below the absolute constants in this OO-notation can be fixed independently of r,d,ur,d,u.

To verify the expectation in (3), the row lengths ℓr,b\ell_{r,b} have only two consecutive values. The longer rows form a cyclic interval of residues modulo rr. Its intersection counts in classes modulo dd differ by at most one. Thus if μr=Emr\mu_r=\mathbb E m_r, then

∣E∣Er∩[u]d∣−μr/d∣≤1,μr/d≫LQ3/4−1/100/log⁡Q.\left|\mathbb E|E_r\cap[u]_d|-\mu_r/d\right|\le1, \qquad \mu_r/d\gg_L Q^{3/4-1/100}/\log Q.

For a sum YY of independent Bernoulli variables, the exponential-moment bound gives $\Pr(|Y-\mathbb EY|>\epsilon\mathbb EY) \le2\exp(-\epsilon^2\mathbb EY/3)$ for 0<ϵ<10<\epsilon<1. Apply this to all these counts and to mrm_r. There are at most Q3Q^3 counts, while each error probability is exponentially small in a positive power of QQ. The expectation error of at most one is also negligible relative to ϵμr/d\epsilon\mu_r/d. This proves (3) by a union bound. The same inequality gives ∣S∣≥H/4|S|\ge H/4 with probability tending to one. Fix an SS with all these properties.

Making the full survivor measure small

Independently for each original modulus q∈[N,Q)q\in[N,Q), choose a uniform bq∈Erqb_q\in E_{r_q} and install

aq≡Lbq(modq).(4)a_q\equiv Lb_q\pmod q. \tag{4}

For n=Ltn=Lt, condition (4) is equivalent to t≡bq(modrq)t\equiv b_q\pmod{r_q}, because (L/gq,rq)=1(L/g_q,r_q)=1. Every point of LSLS avoids all these classes and the earlier digit classes.

Let tt be Haar-random and write

Xr(t)=1Er(t mod r)mr,Z(t)=∑N≤q<QXrq(t),M=EZ=∑N≤q<Q1rq.X_r(t)=\frac{\mathbf1_{E_r}(t\bmod r)}{m_r},\qquad Z(t)=\sum_{N\le q<Q}X_{r_q}(t),\qquad M=\mathbb EZ=\sum_{N\le q<Q}\frac1{r_q}.

We claim

Var⁡Z≪LQ−1/20.(5)\operatorname{Var}Z\ll_L Q^{-1/20}. \tag{5}

If d=(r,s)≤Gd=(r,s)\le G, CRT and (3) give

EXrXs=drs mrms∑u mod d∣Er∩[u]d∣ ∣Es∩[u]d∣=1+O(ϵ)rs.\mathbb E X_rX_s =\frac{d}{rs\,m_rm_s} \sum_{u\bmod d}|E_r\cap[u]_d|\,|E_s\cap[u]_d| =\frac{1+O(\epsilon)}{rs}.

The total contribution of these covariances is O(ϵM2)O(\epsilon M^2). The number of ordered original pairs with (rq,rq′)>G(r_q,r_{q'})>G is at most

(k+1)2∑d>GQ⌊Q/d⌋2≪LQ2/G.(k+1)^2\sum_{d>G}^{Q}\lfloor Q/d\rfloor^2 \ll_L Q^2/G.

For such a pair, (3) bounds the joint expectation by

EXrXs≤1mrms≪LQ2/100(log⁡Q)2Q2.\mathbb E X_rX_s\le\frac1{m_rm_s} \ll_L\frac{Q^{2/100}(\log Q)^2}{Q^2}.

For an upper variance bound its covariance is no larger than this. Therefore

Var⁡Z≪ϵM2+OL(Q2/100(log⁡Q)2/G),\operatorname{Var}Z \ll\epsilon M^2+O_L\bigl(Q^{2/100}(\log Q)^2/G\bigr),

which implies (5), since M=OL(log⁡log⁡Q)M=O_L(\log\log Q).

The mean is more precisely

M=∑N≤q<Q(q,L)q=(∑d∣Lφ(d)d)log⁡(Q/N)+OL(1/N)=(1+k/2)log⁡log⁡Q+OL(1).(6)\begin{aligned} M&=\sum_{N\le q<Q}\frac{(q,L)}q\\ &=\left(\sum_{d\mid L}\frac{\varphi(d)}d\right) \log(Q/N)+O_L(1/N)\\ &=(1+k/2)\log\log Q+O_L(1). \end{aligned} \tag{6}

This follows by expanding (q,L)=∑d∣(q,L)φ(d)(q,L)=\sum_{d\mid(q,L)}\varphi(d) and using harmonic sums in the resulting divisibility classes.

Conditional on tt, independent choices in (4) leave it uncovered with probability ∏q(1−Xrq(t))≤e−Z(t)\prod_q(1-X_{r_q}(t))\le e^{-Z(t)}. Consequently the expected full periodic survivor density of the old sieve (the digit classes and (4)) is at most

1LEe−Z≤1L(e1−M+Pr⁡(Z<M−1))≤1L(e1−M+Var⁡Z).\frac1L\mathbb E e^{-Z} \le\frac1L\bigl(e^{1-M}+\Pr(Z<M-1)\bigr) \le\frac1L\bigl(e^{1-M}+\operatorname{Var}Z\bigr).

By (5)--(6), some finite choice of the residues therefore has full survivor density

δold≪L(log⁡Q)−(1+k/2).(7)\delta_{\rm old}\ll_L(\log Q)^{-(1+k/2)}. \tag{7}

It still preserves every point of LSLS.

Appending the endpoint block and checking activation

Choose exactly Q/(4L)Q/(4L) points from LS⊆[Q,2Q)LS\subseteq[Q,2Q), and for each chosen nn append the zero class modulo nn. Every appended modulus exceeds every old modulus, and they are all distinct. The endpoint nn avoids every old full class by construction. It also avoids every other appended class of smaller modulus: two distinct integers in [Q,2Q)[Q,2Q) cannot divide one another. Thus it is first killed by its own congruence, active exactly at n=qn=q.

There are exactly Q/(4L)Q/(4L) such endpoints. The full first-kill cells of the appended classes are disjoint subsets of the old full survivor set. Their total Haar mass is consequently at most δold\delta_{\rm old}, proving (1).

One can also keep the global survivor density at least 1/21/2: replace every pair (q,a)(q,a) in this finite construction by (2q,2a)(2q,2a). This confines all deletions to the even integers, preserves activation exactly, and halves both the endpoint block fraction and the selected Haar mass. Thus a positive global survivor density does not repair (2).

The construction does not arrange infinitely many such preparations at bounded total Haar cost while preserving positive logarithmic endpoint mass. Nor do its individual endpoint windows have positive normalized logarithmic weight as Q→∞Q\to\infty. These are the missing requirements for a counterexample to the original problem.

Why independent protection does not extend to a logarithmic epoch

The last continuation tested replacing the dyadic protected window by an interval [Q,QK][Q,Q^K], with fixed K>1K>1. For independent positive-density protection, there is a precise obstruction.

Let Q≥1Q\ge1 be an integer, X≥QX\ge Q, and 0<θ<10<\theta<1. Retain each integer of I=[Q,X]∩ZI=[Q,X]\cap\mathbb Z independently with probability θ\theta, obtaining SS. If T=∣I∣=⌊X⌋−Q+1T=|I|=\lfloor X\rfloor-Q+1, then

Pr⁡{∃q≤Q, a mod q: S∩[a]q=∅}≤Q2(1−θ)⌊T/Q⌋≤Q2e−θ⌊T/Q⌋.(8)\Pr\{\exists q\le Q,\ a\bmod q:\ S\cap[a]_q=\varnothing\} \le Q^2(1-\theta)^{\lfloor T/Q\rfloor} \le Q^2e^{-\theta\lfloor T/Q\rfloor}. \tag{8}

Indeed, each residue class modulo q≤Qq\le Q contains at least ⌊T/q⌋≥⌊T/Q⌋\lfloor T/q\rfloor\ge\lfloor T/Q\rfloor points of II. The probability all are omitted is at most the indicated power of 1−θ1-\theta. There are ∑q≤Qq≤Q2\sum_{q\le Q}q\le Q^2 possible classes, so the union bound proves (8).

For X=QKX=Q^K, the right side tends to zero. With probability tending to one, every class at every preparatory modulus q≤Qq\le Q therefore meets SS. All those congruences would be active at the intersecting points, because the protected interval starts at QQ. Consequently no such class can be installed while preserving all of SS. This prevents the direct Bernoulli empty-residue construction from protecting a fixed positive density across a polynomial epoch.

The same obstruction applies inside the fixed fiber LZL\mathbb Z used above. Select quotient integers independently on [⌈Q/L⌉,⌊X/L⌋][\lceil Q/L\rceil,\lfloor X/L\rfloor]. Every class modulo q≤Qq\le Q compatible with LZL\mathbb Z induces one quotient class modulo q/(q,L)≤Qq/(q,L)\le Q. Repeating the proof bounds the probability of any compatible empty class by

Q2exp⁡ ⁣(−θ⌊⌊X/L⌋−⌈Q/L⌉+1Q⌋).(9)Q^2\exp\!\left( -\theta\left\lfloor \frac{\lfloor X/L\rfloor-\lceil Q/L\rceil+1}{Q} \right\rfloor\right). \tag{9}

For fixed LL and X=QKX=Q^K, this also tends to zero. Incompatible classes can be installed but remove no part of the fiber and so cannot supply the intended preparation within it.

Equations (8)--(9) concern independent sampling at a fixed positive retention probability. They do not rule out a correlated protected set, a growing preparatory fiber, or interleaved preparation using moduli larger than QQ. The overlapping-parent preparation still lacks distinct appended congruences with sufficiently long protected active traces. Its pointwise conditional Haar estimates do not establish the required trace statement.