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Counting regularity


Write A(x)=∣A∩[1,x]∣A(x)=|A\cap[1,x]|, B(x)=∣B∩[1,x]∣B(x)=|B\cap[1,x]|, and suppose

an/bn⟶1,1≤rA,B(n)≤M(n sufficiently large).a_n/b_n\longrightarrow1,\qquad 1\le r_{A,B}(n)\le M \quad(n\text{ sufficiently large}).

Increasing MM if necessary makes the upper bound hold for every nn. All claims below are proved elementary consequences, not a resolution of the problem.

Section 1 of the independent investigation recovers these estimates. Its explicit rank constants, uniform local form, and coverage-only gap restriction have been checked and are included below.

Sections 2--3 of the later independent input also check out. Its common limiting measure and dt≤μ∗μ≤M dtdt\le\mu*\mu\le M\,dt are already included in the energy formulation; the continuous square-root model does not settle the discrete question. Its Narkiewicz-based product bound lim sup⁡A(x)B(x)/x>1\limsup A(x)B(x)/x>1 is weaker than the established 4/π4/\pi bound in collision density, proved without a representation upper bound. That note also excludes eventual uniqueness under balance, without classifying eventually unique pairs.

Comparison with the third independent input

Sections 2.1--2.4 of the third independent input correctly recover the square-root bounds, equal counting functions to first order, local continuity, and the common convolution limit. Its conclusion under eventual uniqueness,

A(x)∼B(x)∼2πx,A(x)\sim B(x)\sim\frac2{\sqrt\pi}\sqrt x,

is a valid necessary condition, but does not leave eventual uniqueness as an open subcase of the current research. The established collision-density argument already excludes it; nonconstant representations forces disagreement with every nonzero periodic pattern on a set of positive lower density. No classification of eventually unique complements is needed for either conclusion.

Its continuous square-root model correctly shows that dx≤μ∗μ≤M dxdx\le\mu*\mu\le M\,dx alone is insufficient. This is consistent with, but weaker than, the checked bounded models for the additional second-moment constraints in energy deficit. Likewise, its bounded-displacement thickening argument in Section 2.5 is valid; the finite-shift union reduction below already gives a more general statement and a smaller bound when D≥1D\ge1. These comparisons do not change the unresolved status of the unrestricted problem.

Square-root size

Counting covered integers and all pairs below xx gives

x−O(1)≤A(x)B(x)≤2Mx.x-O(1)\le A(x)B(x)\le2Mx.

Balance gives A(x)≤B(2x)+O(1)A(x)\le B(2x)+O(1). Thus

A(x)(A(x)−O(1))≤A(2x)B(2x)≤4Mx,A(x)(A(x)-O(1))\le A(2x)B(2x)\le4Mx,

and symmetrically B(x)=O(x)B(x)=O(\sqrt x). The lower product bound now gives

A(x),B(x)=Θ(x),an,bn=Θ(n2).A(x),B(x)=\Theta(\sqrt x),\qquad a_n,b_n=\Theta(n^2).

More precisely, the first nn elements of each set supply n2n^2 pairs with sums at most an+bna_n+b_n, whereas every represented integer below min⁡(an,bn)\min(a_n,b_n) uses only the first n−1n-1 elements of each set. Thus

n2≤M(an+bn),min⁡(an,bn)≤(n−1)2+O(1).n^2\le M(a_n+b_n),\qquad \min(a_n,b_n)\le(n-1)^2+O(1).

Termwise balance and inversion of these bounds give

1−o(1)2Mn2≤an,bn≤(1+o(1))n2,(1−o(1))x≤A(x),B(x)≤(2M+o(1))x.\frac{1-o(1)}{2M}n^2\le a_n,b_n\le(1+o(1))n^2, \qquad (1-o(1))\sqrt x\le A(x),B(x) \le(\sqrt{2M}+o(1))\sqrt x.

Same counting function to first order

Fix 0<ε<1/20<\varepsilon<1/2, and take xx sufficiently large that all relevant ranks satisfy (1−ε)bi≤ai≤(1+ε)bi(1-\varepsilon)b_i\le a_i\le(1+\varepsilon)b_i. If K=A(x)−B(x)>0K=A(x)-B(x)>0, each rank B(x)<i≤A(x)B(x)<i\le A(x) has

(1−ε)x<ai≤x<bi≤x/(1−ε).(1-\varepsilon)x<a_i\le x<b_i\le x/(1-\varepsilon).

The K2K^2 pairs drawn from these two rank blocks have sums in an interval of length (ε+ε/(1−ε))x(\varepsilon+\varepsilon/(1-\varepsilon))x. Consequently

K2≤M((ε+ε/(1−ε))x+2).K^2\le M\bigl((\varepsilon+\varepsilon/(1-\varepsilon))x+2\bigr).

Interchanging A,BA,B handles negative KK. Taking the limsup as x→∞x\to\infty and then ε↓0\varepsilon\downarrow0 proves

A(x)−B(x)=o(x),A(x)/B(x)⟶1.A(x)-B(x)=o(\sqrt x),\qquad A(x)/B(x)\longrightarrow1.

Without the representation bound, replacing termwise balance by equal counting functions is not justified in this way.

Local continuity

For fixed 0≤s<t0\le s<t, let K=A(tX)−A(sX)K=A(tX)-A(sX). The corresponding BB-ranks lie between sX/(1+ε)sX/(1+\varepsilon) and tX/(1−ε)tX/(1-\varepsilon), apart from a fixed finite initial block. Their K2K^2 sums lie in an interval of length

(t−s+t1−ε−s1+ε)X.\left(t-s+\frac{t}{1-\varepsilon}-\frac{s}{1+\varepsilon}\right)X.

Hence

lim sup⁡X→∞A(tX)−A(sX)X≤2M(t−s).\limsup_{X\to\infty}\frac{A(tX)-A(sX)}{\sqrt X} \le\sqrt{2M(t-s)}.

The same holds for BB. In particular, subsequential rescaled counting measures have a common, nonatomic limit with a (1/2)-Hölder distribution function. This regularity alone does not contradict bounded multiplicity: the measure cx−1/2 dxc x^{-1/2}\,dx has a constant self-convolution density.

There is also the uniform formulation

A(x+h)−A(x)≤2Mh+o(x)(0≤h≤x),A(x+h)-A(x)\le\sqrt{2Mh+o(x)}\qquad(0\le h\le x),

and the analogous bound for BB, where the error is independent of hh. Indeed, the corresponding ranks have ai∈(x,x+h]a_i\in(x,x+h] and bi=ai+o(x)b_i=a_i+o(x), uniformly over ai∈(x,2x]a_i\in(x,2x]. All cross pairs from these rank blocks therefore lie in an interval of length 2h+o(x)2h+o(x). The representation bound proves the assertion, with the endpoint error absorbed into o(x)o(x).

A gap restriction using only balance and coverage

Drop the representation upper bound. For every sufficiently large nn, coverage of an+bn+1a_n+b_n+1 forces

min⁡(an+1,bn+1)≤an+bn+1.\min(a_{n+1},b_{n+1})\le a_n+b_n+1.

Otherwise a representation could use neither a later AA-element nor a later BB-element, and its sum would be at most an+bna_n+b_n. Using balance at ranks nn and n+1n+1 yields

lim sup⁡n→∞an+1an≤2,lim sup⁡n→∞bn+1bn≤2.\limsup_{n\to\infty}\frac{a_{n+1}}{a_n}\le2, \qquad \limsup_{n\to\infty}\frac{b_{n+1}}{b_n}\le2.

This necessary condition does not control multiplicities.

Bounded displacement reduces to the diagonal problem

Section 7.4 of the later independent input gives a correct reduction which works at every fixed capacity, unlike the stronger exclusions at capacities two or three in discrepancy fibers. Here is a slightly more general version, not requiring rank balance.

Suppose A+BA+B is cofinite, rA,B≤Mr_{A,B}\le M eventually, and finite sets E,F⊂ZE,F\subset\mathbb Z satisfy

A⊆⋃t∈E(B+t),B⊆⋃s∈F(A+s).A\subseteq\bigcup_{t\in E}(B+t),\qquad B\subseteq\bigcup_{s\in F}(A+s).

Choose one witnessing shift for each element. Mapping (a,a′)(a,a') to (a,a′−t(a′))(a,a'-t(a')), separately for each fixed shift, gives

rA,A(n)≤∑t∈ErA,B(n−t).r_{A,A}(n)\le\sum_{t\in E}r_{A,B}(n-t).

The map is injective on each shift fiber. Similarly, mapping (b,b′)(b,b') to (b−s(b),b′)(b-s(b),b') gives

rB,B(n)≤∑s∈FrA,B(n−s).r_{B,B}(n)\le\sum_{s\in F}r_{A,B}(n-s).

Thus C=A∪BC=A\cup B is a one-set asymptotic basis with

rC,C(n)≤rA,A(n)+2rA,B(n)+rB,B(n)≤(∣E∣+∣F∣+2)Mr_{C,C}(n) \le r_{A,A}(n)+2r_{A,B}(n)+r_{B,B}(n) \le (|E|+|F|+2)M

for all sufficiently large nn. Finitely many initial counts are also bounded. Finite exceptions to the inclusions can be absorbed by adding finitely many witnessing shifts.

In particular, if S={bi−ai:i≥1}S=\{b_i-a_i:i\ge1\} is finite, take E=−S,F=SE=-S,F=S to obtain the bound 2(∣S∣+1)M2(|S|+1)M. If ∣ai−bi∣≤D|a_i-b_i|\le D, this is at most (4D+4)M(4D+4)M. Such a counterexample would therefore be a counterexample to the diagonal Erdős--Turán conjecture. Conversely the diagonal case has zero displacement. This is an equivalence of the restricted assertion with that conjecture, not a proof of unboundedness. General sublinear displacement need not take finitely many values.