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Smooth largest prime reduction


These are support reductions and a construction obstruction, not a logarithmic-density theorem for general residues. They use the optimized Rankin estimate from capped prime fractions.

A reciprocal-summability threshold

For sufficiently large primes pp, define

uc(p)=c log⁡log⁡plog⁡log⁡log⁡p.u_c(p)=c\,\frac{\log\log p}{\log\log\log p}.

Let Sc\mathcal S_c consist of the integers

q=pem,e≥1,P+(m)<p,m>puc(p).(1)q=p^e m,\qquad e\ge1,\quad P^+(m)<p,\quad m>p^{u_c(p)}. \tag{1}

Any fixed finite set of smaller primes may be omitted from this definition. Including all integers supported on those primes would still add only a reciprocal-summable set.

Theorem. For every fixed c>1c>1,

∑q∈Sc1q<∞.(2)\sum_{q\in\mathcal S_c}\frac1q<\infty. \tag{2}

For every fixed 0<c<10<c<1, that sum diverges, already with e=1e=1. No assertion at c=1c=1 is needed here. The sharp threshold concerns reciprocal summability only, not existence of density.

Convergence. The optimized reciprocal smooth-tail estimate is

∑m>puP+(m)<p1m≪log⁡(2p)exp⁡ ⁣(−ulog⁡u+2ulog⁡log⁡u+O(u/log⁡u)).(3)\sum_{\substack{m>p^u\\P^+(m)<p}}\frac1m \ll\log(2p)\exp\!\left( -u\log u+2u\log\log u+O(u/\log u)\right). \tag{3}

Its hypotheses hold for u=uc(p)u=u_c(p) and all sufficiently large pp. Since

uc(p)log⁡uc(p)=clog⁡log⁡p+o(log⁡log⁡p),uc(p)log⁡log⁡uc(p)=o(log⁡log⁡p),u_c(p)\log u_c(p)=c\log\log p+o(\log\log p),\qquad u_c(p)\log\log u_c(p)=o(\log\log p),

the left side of (3) is at most (log⁡p)1−c+o(1)(\log p)^{1-c+o(1)}. For η=(c−1)/2>0\eta=(c-1)/2>0, it is therefore Oc((log⁡p)−η)O_c((\log p)^{-\eta}). Summing the pp-power exponent gives

∑q∈Sc1q=∑p1p−1∑m>puc(p)P+(m)<p1m<∞.\sum_{q\in\mathcal S_c}\frac1q =\sum_p\frac1{p-1} \sum_{\substack{m>p^{u_c(p)}\\P^+(m)<p}}\frac1m<\infty.

The last prime sum converges by Chebyshev's upper bound and partial summation. Its part with p>Kp>K is Oc((log⁡K)−η)O_c((\log K)^{-\eta}).

Divergence. Fix aa with c<a<1c<a<1, put y=pay=p^a, and take k=⌈uc(p)/a⌉k=\lceil u_c(p)/a\rceil. Consider products

m=b r1⋯rk,P+(b)≤y,y<r1<⋯<rk<p.m=b\,r_1\cdots r_k, \qquad P^+(b)\le y,\qquad y<r_1<\cdots<r_k<p.

Their factorization into bb and the displayed primes is unique, and m>pak≥puc(p)m>p^{ak}\ge p^{u_c(p)}. Chebyshev's upper and lower prime-counting bounds, followed by partial summation, give

λp:=∑pa<r<p1r≍a1.\lambda_p:=\sum_{p^a<r<p}\frac1r\asymp_a1.

For example the integral of the lower bound π(t)≫t/log⁡t\pi(t)\gg t/\log t on [pa,p][p^a,p] supplies a positive constant, while the endpoint error is Oa(1/log⁡p)O_a(1/\log p).

Choose kk primes independently with probabilities 1/(rλp)1/(r\lambda_p). Their collision probability is at most Oa(k2/pa)=o(1)O_a(k^2/p^a)=o(1), so the elementary symmetric sum obeys

ek((1/r)pa<r<p)≥(1−o(1))λpkk!.e_k((1/r)_{p^a<r<p}) \ge (1-o(1))\frac{\lambda_p^k}{k!}.

Also $\prod_{\ell\le y}(1-1/\ell)^{-1}\ge H_{\lfloor y\rfloor} \gg_a\log p$. Consequently

∑m>puc(p)P+(m)<p1m≥H⌊y⌋(1−o(1))λpkk!≥(log⁡p)1−c/a+o(1).(4)\begin{aligned} \sum_{\substack{m>p^{u_c(p)}\\P^+(m)<p}}\frac1m &\ge H_{\lfloor y\rfloor} (1-o(1))\frac{\lambda_p^k}{k!}\\ &\ge(\log p)^{1-c/a+o(1)}. \end{aligned} \tag{4}

Here klog⁡k=(c/a+o(1))log⁡log⁡pk\log k=(c/a+o(1))\log\log p. Since c/a<1c/a<1, the last bound eventually exceeds one. The divergence of ∑p1/p\sum_p1/p now proves the assertion for q=pmq=pm. □\square

Reductions retaining original activation

For one normalized residue at each selected q∈Scq\in\mathcal S_c,

∣Bq∩[1,X]∣≤X/q,HBq(X)≤H⌊X⌋/q.|B_q\cap[1,X]|\le X/q,\qquad H_{B_q}(X)\le H_{\lfloor X\rfloor}/q.

Thus the numerical tails of this family are negligible in upper natural and logarithmic density. Its fixed initial classes may have positive density and must still be retained when approximating a full system. Combining (2) with the repeated-largest-prime reduction shows that, for any fixed c>1c>1, the remaining general tail problem can be restricted to

q=pm,P+(m)<p,m≤puc(p).(5)q=pm,\qquad P^+(m)<p,\qquad m\le p^{u_c(p)}. \tag{5}

This is a reduction to a large-prime support, not an estimate for its remaining congruences.

There is also a uniform reduction for the capped-square target. Let α~p\widetilde\alpha_p retain only the nonexceptional moduli. The fraction removed by exceptional moduli is at most their incidence potential RpR_p, and

0≤αp(n)2−α~p(n)2≤2Rp(n).0\le\alpha_p(n)^2-\widetilde\alpha_p(n)^2\le2R_p(n).

For each term p−e1n≡aq (m)p^{-e}\mathbf1_{n\equiv a_q\ (m)} of RpR_p, activation n≥pemn\ge p^em implies

∑n≤Xn≥pemn≡aq (m)1n≤H⌊X⌋m.\sum_{\substack{n\le X\\n\ge p^em\\n\equiv a_q\ (m)}}\frac1n \le \frac{H_{\lfloor X\rfloor}}m.

Hence the normalized harmonic contribution of the squared-fraction difference at p>Kp>K is at most

2∑q∈ScP+(q)>K1q=oK(1),(6)2\sum_{\substack{q\in\mathcal S_c\\P^+(q)>K}}\frac1q=o_K(1), \tag{6}

uniformly over the finite family and XX. The same calculation handles the reciprocal-summable repeated-largest-prime exception.

Bounded polynomial CRT templates have vanishing square tails

The quadratic CRT construction in Green--Ruzsa, Section 5 suggests assigning a starting point m2 mod Qm^2\bmod Q to a progression of direction mm. The following obstruction to its direct use here is independent of any theorem in that paper.

Fix d≥1d\ge1, C≥1C\ge1, and γ>0\gamma>0. For each sufficiently large prime pp, let QpQ_p be an integer with ω(Qp)≥γlog⁡p\omega(Q_p)\ge\gamma\log p, and let fp∈Z[t]f_p\in\mathbb Z[t] satisfy

fp(0)=0,0≤fp(m)≤Cmd(m≥1).(7)f_p(0)=0,\qquad 0\le f_p(m)\le C m^d\quad(m\ge1). \tag{7}

For selected mm with P+(m)<pP^+(m)<p, prescribe the smaller-coordinate residue at modulus pmpm by

cp,m≡(fp(m) mod Qp)(modm),(8)c_{p,m}\equiv (f_p(m)\bmod Q_p)\pmod m, \tag{8}

where the inner residue is the least nonnegative representative. The pp-digits may be arbitrary, independently at every selected modulus. All these original moduli are globally distinct.

Proposition. The exact fractions for such systems obey

lim⁡K→∞sup⁡F,X≥21H⌊X⌋∑n≤X1n∑p>Kαp(n)2=0,(9)\lim_{K\to\infty}\sup_{\mathcal F,X\ge2} \frac1{H_{\lfloor X\rfloor}} \sum_{n\le X}\frac1n\sum_{p>K}\alpha_p(n)^2=0, \tag{9}

uniformly over Qp,fpQ_p,f_p subject to the fixed parameters in (7).

Proof. Put Mp=(Qp/(2C))1/dM_p=(Q_p/(2C))^{1/d}. If m<Mpm<M_p, then 0≤fp(m)<Qp0\le f_p(m)<Q_p, and m∣fp(m)m\mid f_p(m) by fp(0)=0f_p(0)=0. Thus the smaller-coordinate residue is zero.

Let r=ω(Qp)r=\omega(Q_p). Distinct prime divisors give Qp≥(r+1)!Q_p\ge(r+1)!, without any squarefreeness assumption. Therefore

log⁡Mplog⁡p≥γdlog⁡log⁡p−OC,d,γ(1).\frac{\log M_p}{\log p} \ge\frac{\gamma}{d}\log\log p-O_{C,d,\gamma}(1).

For any fixed c>1c>1, all sufficiently large pp consequently satisfy Mp>puc(p)M_p>p^{u_c(p)}, uniformly in the choices.

Split the incidence potential as A0,p+RpA_{0,p}+R_p, with

A0,p(n)=1p∑m<Mppm selected1m∣n,A_{0,p}(n)=\frac1p\sum_{\substack{m<M_p\\pm\ {\rm selected}}} \mathbf1_{m\mid n},

and with RpR_p containing the remaining, activated incidences. The zero part deliberately omits activation. Then αp2≤A0,p2+2Rp\alpha_p^2\le A_{0,p}^2+2R_p. Every pair in the zero part intersects in a multiples set, so the exact harmonic multiples bound gives

1H⌊X⌋∑n≤XA0,p(n)2n≤1p2∏ℓ<p1+1/ℓ(1−1/ℓ)2≤Up.\frac1{H_{\lfloor X\rfloor}}\sum_{n\le X}\frac{A_{0,p}(n)^2}{n} \le \frac1{p^2} \prod_{\ell<p}\frac{1+1/\ell}{(1-1/\ell)^2} \le U_p.

All remaining moduli belong to Sc\mathcal S_c. Their contribution is bounded by (6). Summing UpU_p and letting K→∞K\to\infty proves (9). □\square

For the literal quadratic template, a proposed image compression ∏ℓ∣Qp1+1/ℓ2≤p−2\prod_{\ell\mid Q_p}\frac{1+1/\ell}{2}\le p^{-2} forces ω(Qp)≥2log⁡p/log⁡2\omega(Q_p)\ge2\log p/\log2, so the proposition applies. It controls the entire installed system, not only a selected finite progression trace.

Large varying coefficients or constant terms are not covered: fp(m)=Bpm2+Apf_p(m)=B_pm^2+A_p need not satisfy (7), and its small smaller-part residues need not be zero. No obstruction to all arithmetic-Kakeya constructions, no general capped-square theorem, and no conditioned arithmetic digit transfer is asserted.