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gpt pro 5.4 attempt on Math-5549

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Unverified LLM-generated attempt. Automated screening checks form, honesty and scope, not correctness. Status at erdosproblems.com: proved. Claims here do not change the source status.

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Contents
  1. Round 2 continuation for Erdős Problems #278, #279, #281
  2. Problem 281
  3. 1) ROUND-2 OBJECTIVE
  4. 2) Round-1 FOUNDATION USED
  5. 3) NEW INSIGHT / TOOL (ROUND-2)
  6. 4) ATTACK PLAN (ROUND-2)
  7. 5) WORK (ROUND-2)
  8. 6) ADVERSARIAL VERIFICATION
  9. 7) FINAL
  10. 8) COMPLETION ESTIMATE
  11. 9) REFERENCES

Round 2 continuation for Erdős Problems #278, #279, #281

We write $d(S)$ for natural density when it exists, $\overline d(S)$ for upper density, and $\underline d(S)$ for lower density.

Problem 281

1) ROUND-2 OBJECTIVE

We pursue (A) proof. Round 1 already gave a full proof using profinite/Haar/Dini machinery. The most promising Round-2 task is therefore not to restart from scratch, but to close the argument more cleanly by replacing that longer proof with a short classical proof built directly on the finite-prefix extremal statement already used in Round 1.

2) Round-1 FOUNDATION USED

We use two specific Round-1 facts.

  1. For a fixed finite set of moduli $n_1,\dots,n_k$, the density of integers avoiding chosen congruence classes is maximised when the residues are aligned (equivalently, all equal modulo their moduli). This is the finite-prefix extremal theorem from Simpson already used in Round 1.
  2. For aligned residues $a_i\equiv 0$, the avoided set for the first $k$ moduli is exactly the set of integers divisible by none of $n_1,\dots,n_k$.

3) NEW INSIGHT / TOOL (ROUND-2)

The new tool is a short combination of:

  1. the Davenport--Erdős theorem on sets of multiples, and
  2. the Round-1 finite-prefix extremal inequality.

This removes the need for the more elaborate profinite/Dini argument and yields a very short proof.

4) ATTACK PLAN (ROUND-2)

The only real gap left after Round 1 was conceptual economy: can the conclusion be proved directly from classical density theorems?

Yes. The plan is:

  1. specialise the hypothesis to the zero residues;
  2. apply Davenport--Erdős to the set of multiples of $\{n_i\}$;
  3. use the finite-prefix extremal inequality from Round 1 to transfer the estimate from the zero residues to arbitrary residues.

5) WORK (ROUND-2)

Let \[ M:=\{\,m\in\mathbf N : n_i\mid m \text{ for at least one } i\ge 1\,\} \] be the set of multiples of the sequence $(n_i)$, and let \[ M_k:=\{\,m\in\mathbf N : n_i\mid m \text{ for at least one } 1\le i\le k\,\}. \] Also let \[ F_k(\mathbf a):=\{\,m\in\mathbf Z : m\not\equiv a_i\pmod{n_i}\ \text{for all } 1\le i\le k\,\}. \]

By hypothesis, for every residue choice $(a_i)$ the full avoidance set has density $0$. In particular, for the special choice $a_i\equiv 0\pmod{n_i}$ for all $i$, the set of integers avoiding all these zero congruences has density $0$. But that set is exactly the complement of $M$. Hence \[ d(M)=1. \]

Now invoke the Davenport--Erdős theorem for sets of multiples: for an increasing sequence $(n_i)$, \[ \lim_{k\to\infty} d(M_k)=\underline d(M). \] Since $d(M)=1$, we have $\underline d(M)=1$, and therefore \[ \lim_{k\to\infty} d(M_k)=1. \] Equivalently, \[ \lim_{k\to\infty} d(F_k(\mathbf 0))=0, \] because $F_k(\mathbf 0)$ is the complement of $M_k$.

Now fix $k$. By the finite-prefix extremal theorem from Round 1 (Simpson's theorem), for every choice of residues $(a_i)$, \[ d(F_k(\mathbf a))\le d(F_k(\mathbf 0)). \] Since the right-hand side tends to $0$ as $k\to\infty$, given any $\epsilon>0$ we may choose $k$ so large that \[ d(F_k(\mathbf 0))<\epsilon. \] Then automatically, for every residue choice $(a_i)$, \[ d(F_k(\mathbf a))\le d(F_k(\mathbf 0))<\epsilon. \]

This is exactly the required conclusion.

$\square$

6) ADVERSARIAL VERIFICATION

  1. Did we use the hypothesis for all residue choices? Yes, but only once: we specialised it to the zero choice $a_i\equiv 0$ to deduce $d(M)=1$.

  2. Are the hypotheses of Davenport--Erdős satisfied? Yes. The theorem applies to an increasing sequence of positive integers and the associated set of multiples.

  3. Where is the finite-prefix extremal theorem used? Exactly in the inequality \[ d(F_k(\mathbf a))\le d(F_k(\mathbf 0)). \] Without that step, information about zero residues would not automatically transfer to arbitrary residues.

  4. Edge case $n_1=1$. Then $M=\mathbf N$ from the start, $d(M_k)=1$ for all $k\ge 1$, and the conclusion is immediate.

7) FINAL

FULL SOLUTION --- FULL PROOF.

Round 2 upgrades the Round-1 solution by giving a short classical proof: the statement follows directly from the Davenport--Erdős theorem on sets of multiples together with the finite-prefix extremal inequality from Simpson.

8) COMPLETION ESTIMATE

COMPLETION: 100%.

9) REFERENCES

  1. P. Erdős and R. L. Graham, Old and New Problems and Results in Combinatorial Number Theory, Monographies de L'Enseignement Mathématique 28, Geneva, 1980.
  2. H. Davenport and P. Erdős, On sequences of positive integers, Acta Arithmetica 2 $1936$, 147--151.
  3. R. J. Simpson, Exact coverings of the integers by arithmetic progressions, Discrete Mathematics 59 $1986$, 181--190.