Plectis

Long paper

Reciprocal Mersenne Subseries

Summary. A weighted summability criterion proves irrationality of reciprocal Mersenne subseries: if h is the part of a supported on a finite nonempty prime set P, every infinite A with ∑ h(a)/(a(bh(a)−1)) finite has irrational ∑ (ba−1)−1. The base-two condition gives the conclusion at every integer base for every infinite subset, and permits an example with divergent reciprocal sum, while excluding full support and all odd exponents. The proof averages over a finite part of the support and over dyadic observation lengths. Erdős's weaker reciprocal-summable theorem is proved in full, and a common window extends both arguments to unions of weighted and positive-cover supports. Finite-denominator and achievement-set calculations formulate tests for the targets 1/2 and 1/21; those tests do not decide either target or the universal question. Prime support at base 2 and squarefree support at power-of-two bases are attributed as existing work.

This paper covers a claim-bounded problem-specific reasoning surface for Erdős #257: selected checked premises, finite computations, closed routes, surviving obligations, and their exact evidence bands.

It does not establish the validity of claims tagged Lean, which belongs to the cited kernel-checked source, or a solution to Erdős #257, whose universal and half-value questions remain open.

In this paper
A finite estimate on common observation scales

A divisor majorant becomes a sum of geometric tails, one for each divisor. The positive offsets r with d∣N+r are d−(Nmodd),2d−(Nmodd),…, and hence

∑r≥1d∣N+rB−r=BNmoddBd−1.

The cover argument raises a base-two tail to a fractional power α, replacing its geometric factor by B=2α. The estimate must therefore allow 1<B≤2. It must also keep the modulus, first dyadic scale and number of scales separate. In the mixed theorem, the weighted construction chooses these parameters after the finite divisibility requirements have been fixed.

For 1<B≤2, positive integers L,d,M, and an integer R≥0, put

wB,d(n)=BnmoddBd−1,DL;R,MF=1M∑j=RR+M−112j∑m=12jF(Lm).

To read this as sampling, first choose j uniformly from R,…,R+M−1. Conditional on that scale, choose m uniformly from 1,…,2j and observe N=Lm. The scales have equal total weight; the observations within a longer scale have smaller individual weights. Repeated occurrences of an integer N retain their contributions to the sum. This is the distribution used for both parts of the mixed proof.

The finite estimate

(13)DL;R,MwB,d≤1+4L/Md(B−1)

equivalently bounds (B−1)DL;R,MwB,d by (1+4L/M)/d. This normalised bound is uniform as B↓1. The unnormalised right side grows like (B−1)−1. In the cover argument B=2α can approach 1, so the factor (2α−1)−1 must remain in the summability condition. The ratio L/M measures the cost of incomplete modular periods.

Fix T=2j. We compare d with the largest sampled multiple LT. For d≤LT we use a complete-orbit bound with a remainder term; for d>2LT no residue is reduced modulo d. For fixed d, doubling T moves from d>2LT to d≤LT after at most one intermediate scale; hence LT<d≤2LT occurs for at most one dyadic length. When d≤LT, the complete orbit has length d/g, with g=(L,d), and total weight 1/(Bg−1). Splitting the sample into complete cycles—possibly none—and one remaining piece gives

1T∑m=1TwB,d(Lm)≤gd(Bg−1)+1T(Bg−1)≤1d(B−1)+1T(B−1).

Across dyadic lengths satisfying d≤L2j, the reciprocal-length errors sum to at most 2L/[d(B−1)].

When d>2LT, we have Lmmodd=Lm and 2Lm≤d−1; hence ∑i=0d−1Bi≥dB(d−1)/2≥dBLm. Each term wB,d(Lm) is then at most 1/[d(B−1)].

Finally, at most one dyadic length satisfies LT<d≤2LT. For that length the geometric sum and convexity give

1T∑m=1TwB,d(Lm)=BLT(BL−1)BLT−1Bd−1≤LBLd(BL−1)≤2Ld(B−1).

The first inequality follows from convexity of x↦Bx−1, which vanishes at 0: the ratio is at most LT/d. The last uses (BL−1)/(B−1)=∑i=0L−1Bi≥BL−1 and B≤2. Summing the main terms and the two error bounds proves (13). The argument displayed here is an ordinary proof; the estimate is also proved in Lean. Nonnegative interchange permits summation against any coefficients cd with ∑dcd/d<∞.

About this paper

Authorship and AI use. Will Cook built and directed the research infrastructure and maintains the public release. He reviewed claims when he could. AI agents did most of the research and drafting. Cook did not independently verify every claim.

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