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Prime additive excess


Statement: proved

For every M>0M>0 there is a finite singleton family of distinct prime moduli, with the original activation n≥qn\ge q, and a cutoff XX, such that its delayed union BB and full periodic union measure β\beta satisfy

HB(X)−βH⌊X⌋>M.(1)H_B(X)-\beta H_{\lfloor X\rfloor}>M. \tag{1}

Thus no finite constant depending only on sup⁡Ω(q)\sup\Omega(q) can bound this additive error: even the rank-one constant would be infinite. This supersedes the remaining small-exponential-rank-error target in rank and moment obstructions.

The proof amplifies the checked prime-template construction in finite sharp counterexamples. It uses that note's finite-complexity prime linear-forms theorem, not an unproved prime-tuple conjecture. The relevant source passages were checked: Green--Tao, Linear equations in primes, Lemma 1.6, printed p. 1761, and Main Theorem, p. 1763; and Green--Tao--Ziegler, An inverse theorem for the Gowers Us+1[N]U^{s+1}[N]-norm, Theorem 1.3 and its following application paragraph, printed p. 1235. All systems of forms and all auxiliary parameters are fixed before the scale tends to infinity. No growing-complexity uniformity is used.

This is not a counterexample to Problem 25. Infinite prime-modulus systems have natural density by the pairwise-coprime theorem. The normalized excess in this construction is not bounded away from zero.

A uniform rough-number harmonic remainder

For an integer y≥2y\ge2, let

Ry={n≥1:p∤n for all primes p≤y},Fy(x)=HRy(x),δy=∏p≤y(1−1/p).R_y=\{n\ge1:p\nmid n\text{ for all primes }p\le y\},\qquad F_y(x)=H_{R_y}(x),\qquad \delta_y=\prod_{p\le y}(1-1/p).

There is an absolute constant C0C_0 such that, for x≥1x\ge1,

0≤Fy(x)−δyH⌊x⌋≤C0.(2)0\le F_y(x)-\delta_y H_{\lfloor x\rfloor}\le C_0. \tag{2}

The elementary coprime upper sieve gives

∣Ry∩[1,t]∣≤Cδyt(t≥y).(3)|R_y\cap[1,t]|\le C\delta_y t\qquad(t\ge y). \tag{3}

Its theorem applies to every pairwise-coprime modulus set in [2,⌊t⌋][2,\lfloor t\rfloor]; there is no requirement that tt exceed a fixed power of yy. Also Ry∩[1,y]={1}R_y\cap[1,y]=\{1\}. Partial summation, splitting at yy when necessary, gives for d≥1d\ge1 and x≥yx\ge y

Fy(x)−Fy(x/d)≤Cδy(1+log⁡d)+1d>x.(4)F_y(x)-F_y(x/d) \le C\delta_y(1+\log d)+\mathbf1_{d>x}. \tag{4}

If x/d≥yx/d\ge y, integrate (3) between x/dx/d and xx. If 1≤x/d<y1\le x/d<y, start at yy, and use log⁡(x/y)≤log⁡d\log(x/y)\le\log d. If d>xd>x, include the atom at one.

Let DD be a random positive yy-smooth integer with Pr⁡(D=d)=δy/d\Pr(D=d)=\delta_y/d. The finite Euler product normalizes this law. Unique smooth/rough factorization yields

EFy(x/D)=δyH⌊x⌋,Elog⁡D=∑p≤ylog⁡pp−1≪log⁡(2y).\mathbb E F_y(x/D)=\delta_y H_{\lfloor x\rfloor},\qquad \mathbb E\log D=\sum_{p\le y}\frac{\log p}{p-1}\ll\log(2y).

The Euler expansion gives δy≤1/Hy≪1/log⁡(2y)\delta_y\le1/H_y\ll1/\log(2y). Average (4) to obtain the upper bound in (2). Its lower bound follows from D≥1D\ge1 and monotonicity of FyF_y. For 1≤x<y1\le x<y, Fy(x)=1F_y(x)=1 and 0≤δyH⌊x⌋≤10\le\delta_y H_{\lfloor x\rfloor}\le1, so (2) also holds there.

Prime-template amplification

Fix an arbitrary real K>1K>1, put ε=1/(4K)\varepsilon=1/(4K), and choose a finite admissible set S⊂NS\subset\mathbb N with

L:=∑t∈Slog⁡(1+1/t)≥8Klog⁡4.L:=\sum_{t\in S}\log(1+1/t)\ge8K\log4.

The existence of such SS is proved in the prime-template note. Write T=max⁡ST=\max S. These parameters are now fixed. Let NN tend to infinity through integers, and set

X=⌊NK⌋.X=\lfloor N^K\rfloor.

Install the zero class at every prime at most NN. For every good prime q∈(N,X]q\in(N,X], independently retain it with probability ε\varepsilon, and then choose its residue uniformly among the prime-pattern shifts a∈[0,q)a\in[0,q) for which every a+tqa+tq, t∈St\in S, is prime. Here “good” has exactly the definition and moment estimates in the prime-template note. Let AA be the final delayed survivor set and δ\delta its full Haar survivor measure.

The first and second prime moments proved in that note imply that the expected harmonic mass of deleted target primes in ((T+1)N,X]((T+1)N,X] is at least

(1−e−εL/2)log⁡K+o(1)≥34log⁡K+o(1).(5)(1-e^{-\varepsilon L/2})\log K+o(1) \ge\tfrac34\log K+o(1). \tag{5}

Unlike its earlier application, this estimate allows every fixed K>1K>1, not just K<2K<2. The old restriction was used only to say that all old survivors were primes. For (5), it suffices that the target primes are old survivors, which remains true.

For completeness, the moment argument bounds target-prime survival by e−εJgood(p)/2e^{-\varepsilon J_{\rm good}(p)/2}, where Jgood→LJ_{\rm good}\to L in prime-average L1L^1 on growing dyadic intervals. Partial summation then sums the errors to o(1)o(1) between NN and NKN^K, with K,SK,S fixed. The boundary interval up to (T+1)N(T+1)N has prime harmonic mass o(1)o(1), and the full target mass is log⁡K+o(1)\log K+o(1). Every used hit has p=a+tqp=a+tq with t≥1t\ge1, so p≥qp\ge q: activation is exact. Thus

EHA(X)≤FN(X)−34log⁡K+o(1).(6)\mathbb E H_A(X)\le F_N(X)-\tfrac34\log K+o(1). \tag{6}

All moduli are distinct primes, so their periodic survivor measure is the product of their individual survivor fractions, independently of the chosen residues. Consequently

0≤δN−Eδ=δN(1−∏N<q≤Xq good(1−ε/q))≤εδN∑N<q≤Xq prime1/q.\begin{aligned} 0\le\delta_N-\mathbb E\delta &=\delta_N\left(1- \prod_{\substack{N<q\le X\\q\text{ good}}}(1-\varepsilon/q)\right)\\ &\le\varepsilon\delta_N\sum_{\substack{N<q\le X\\q\text{ prime}}}1/q. \end{aligned}

Since δNHX≤HX/HN=K+o(1)\delta_N H_X\le H_X/H_N=K+o(1), prime reciprocal summation gives

(δN−Eδ)HX≤14log⁡K+o(1).(7)(\delta_N-\mathbb E\delta)H_X \le\tfrac14\log K+o(1). \tag{7}

Combine (2), (6), and (7):

E[δHX−HA(X)]≥−[FN(X)−δNHX]+12log⁡K+o(1)≥12log⁡K−C0+o(1).(8)\begin{aligned} \mathbb E[\delta H_X-H_A(X)] &\ge-[F_N(X)-\delta_N H_X] +\tfrac12\log K+o(1)\\ &\ge\tfrac12\log K-C_0+o(1). \end{aligned} \tag{8}

Given MM, first choose KK making the last main term greater than M+1M+1; next fix ε,S\varepsilon,S; only then choose NN sufficiently large. Some realization has δHX−HA(X)>M\delta H_X-H_A(X)>M, which is (1).

The finite moduli are singly assigned and can be ordered increasingly. There is no assertion that the realizations for different MM can be nested while retaining a positive Haar survivor measure. In fact their old prime sieves have δN→0\delta_N\to0. The constant normalized first-kill entropy bound and a uniform additive o(log⁡X)o(\log X) bound are not contradicted by this result.

Suppose a finite preparatory sieve has pairwise-coprime moduli, maximum modulus NN, full survivor measure δ\delta, and period PP. Append moduli q>Nq>N coprime to PP, all with one normalized integer center 0≤a<min⁡q0\le a<\min q. The appended prepared-block estimates hold with an absolute constant even though qq need not exceed PP:

h(X)2≤Cτ,∑i appendedci(X)log⁡+ci(X)ei≤Cδlog⁡(C/δ).(9)h(X)^2\le C\tau,\qquad \sum_{i\text{ appended}}c_i(X)\log_+\frac{c_i(X)}{e_i} \le C\delta\log(C/\delta). \tag{9}

Here hh is total normalized harmonic appended first-kill mass and τ\tau its total incremental Haar measure.

Indeed the same coprime upper sieve bounds the full old survivors below every t≥Nt\ge N by CδtC\delta t. Every appended hit is beyond NN, where all old classes are active. Partial summation gives h(X)≤Cδh(X)\le C\delta. Independence gives ei=δei0e_i=\delta e_i^0 and τ=δβ0\tau=\delta\beta_0, where the superscript and subscript refer to the appended zero-center system alone. Center subtraction and the valuation model used in prepared-block entropy give ci(X)≤Cei0c_i(X)\le C e_i^0 and h(X)≤Cβ0h(X)\le C\beta_0. These inequalities imply both parts of (9). If δ=0\delta=0, no appended first kills occur. This removes a period barrier for coprime preparations, not for arbitrary overlapping preparatory systems.