by cahlen GOLD Verified
GOLD AI Peer Review
Verdict ACCEPT
Reviewed by Claude Opus 4.6 (Anthropic)
Date 2026-04-01T00:00:00.000Z
Level GOLD — 3+ peer-reviewed papers corroborate methods

dim_H(E_{2,...,20}) corrected to 0.768. Finding strengthened.

Digit 1 Dominance: Five Digits With 1 Beat Fourteen Digits Without

The Finding

For the restricted continued fraction Cantor sets EA={x[0,1]:all partial quotients of x lie in A}E_A = \{x \in [0,1] : \text{all partial quotients of } x \text{ lie in } A\}, the Hausdorff dimension spectrum at n=15n = 15 reveals an extreme asymmetry:

dimH(E{1,,5})=0.837>dimH(E{2,,15})=0.747\dim_H(E_{\{1,\ldots,5\}}) = 0.837 \quad > \quad \dim_H(E_{\{2,\ldots,15\}}) = 0.747

Five digits containing digit 1 produce a larger Cantor set than fourteen digits without it. Digit 1 alone is worth more than digits 6 through 15 combined.

Why This Matters

The Gauss measure assigns weight proportional to log(1+1/(a(a+2)))\log(1 + 1/(a(a+2))) to digit aa, which for small aa concentrates dramatically on a=1a = 1. This is well-known qualitatively — the continued fraction expansion of a typical real number has an=1a_n = 1 about 41.5% of the time. But our computation makes the asymmetry quantitative at the level of Hausdorff dimension:

  • Removing digit 1 from {1,,15}\{1, \ldots, 15\} costs dimension 0.2060.206
  • Removing digit 15 from {1,,15}\{1, \ldots, 15\} costs dimension 0.0040.004
  • The ratio is approximately 50:1

This is not merely a curiosity. The dimension of EAE_A governs the metric theory of Diophantine approximation restricted to digit set AA: Jarník-type theorems, Khintchine-type dichotomies, and the distribution of rationals with bounded partial quotients all depend on dimH(EA)\dim_H(E_A). The extreme dominance of small digits — particularly digit 1 — means that for most applications, the first few digits carry nearly all the information.

Key Results

Five digits with 1 beat fourteen without

Digit setCardinalitydimH(EA)\dim_H(E_A)
{1,2,3,4,5}\{1, 2, 3, 4, 5\}50.837
{2,3,,15}\{2, 3, \ldots, 15\}140.747
{1,2,,15}\{1, 2, \ldots, 15\}150.953

Dimension cost of removing each digit from {1,,15}\{1, \ldots, 15\}

Digit removeddimH(E{1,,15}{a})\dim_H(E_{\{1,\ldots,15\} \setminus \{a\}})Cost Δ\Delta
10.7470.206
20.9070.046
30.9320.021
40.9410.012
50.9450.008
100.9510.002
150.9490.004

Subsets containing 1 dominate at every cardinality

For every cardinality kk from 1 to 14, subsets of {1,,15}\{1, \ldots, 15\} that contain digit 1 have substantially higher average Hausdorff dimension than subsets that do not. The highest-dimension subset of any given size is always the set of lowest consecutive digits starting from 1: {1,2,,k}\{1, 2, \ldots, k\}.

Gauss measure predicts dimension ranking

The Hausdorff dimension dimH(EA)\dim_H(E_A) is almost perfectly rank-correlated with the sum

S(A)=aA1a2S(A) = \sum_{a \in A} \frac{1}{a^2}

over digits aa in the subset AA. Since 1/12=11/1^2 = 1 while 1/1520.0041/15^2 \approx 0.004, this explains why digit 1 contributes so disproportionately: the Gauss measure weight 1/a21/a^2 drops by a factor of 225 from a=1a = 1 to a=15a = 15.

Empirical growth law

The dimension of consecutive-digit sets follows the empirical fit:

dimH(E{1,,n})10.58n0.88\dim_H(E_{\{1,\ldots,n\}}) \approx 1 - \frac{0.58}{n^{0.88}}

This captures the approach to dimH=1\dim_H = 1 (the full interval) as nn \to \infty, with a power-law correction whose exponent 0.880.88 reflects the harmonic-like decay of digit contributions.

Method

  • Transfer operator: Lsf(x)=aA1(a+x)2sf ⁣(1a+x)\mathcal{L}_s f(x) = \sum_{a \in A} \frac{1}{(a + x)^{2s}} f\!\left(\frac{1}{a + x}\right)
  • Chebyshev collocation at N=15N = 15 nodes on [0,1][0, 1]
  • Hausdorff dimension computed as the unique s>0s > 0 where λ1(Ls)=1\lambda_1(\mathcal{L}_s) = 1
  • All 2151=32,7672^{15} - 1 = 32{,}767 non-empty subsets of {1,,15}\{1, \ldots, 15\} enumerated
  • Hardware: NVIDIA RTX 5090

Status

CONFIRMED at n=20. The full computation of all 2201=1,048,5752^{20} - 1 = 1{,}048{,}575 subsets completed in 4,343 seconds on the RTX 5090. The dominance pattern not only persists but strengthens:

Digit setdimH\dim_HNote
E{1,,5}E_{\{1,\ldots,5\}}0.8375 digits with 1
E{2,,20}E_{\{2,\ldots,20\}}0.76819 digits without 1
E{1,,20}E_{\{1,\ldots,20\}}0.965All 20 digits

Five digits with 1 beat nineteen digits without 1 by a margin of 0.069 in Hausdorff dimension. Removing digit 1 from {1,,20}\{1, \ldots, 20\} costs dimension 0.1970.197 while removing digit 20 costs 0.0020.002 — a ratio of approximately 100:1 (up from 50:1 at n=15n = 15).

Correction (2026-04-01): dimH(E{2,,20})\dim_H(E_{\{2,\ldots,20\}}) was previously reported as 0.826. MCP peer review (Claude Opus 4.6, Anthropic) cross-checked against the actual spectrum data (spectrum_n20.csv) and found the correct value is 0.768. This correction strengthens the finding: the gap between 5-with-1 and 19-without-1 is 0.069, larger than the previously reported 0.011. Digit 1 dominance is even more extreme than originally stated.

Connection to Other Findings

  • Zaremba spectral gaps: The dimension dimH(E{1,,5})=0.837\dim_H(E_{\{1,\ldots,5\}}) = 0.837 matches the Zaremba semigroup dimension — see finding
  • Hausdorff dimension spectrum: This finding is extracted from the full n=20n = 20 spectrum — see experiment
  • Lyapunov exponent spectrum: The twin dataset of Lyapunov exponents for all 22012^{20} - 1 subsets shows the same dominance pattern — see experiment
  • Transfer operator machinery: Same Chebyshev collocation code used for both dimension computation and spectral gap analysis — see experiment

Code

References

  • Hensley, D. (1992). “Continued fraction Cantor sets, Hausdorff dimension, and functional analysis.” Journal of Number Theory, 40(3), pp. 336–358.
  • Jenkinson, O. and Pollicott, M. (2001). “Computing the dimension of dynamically defined sets: E_2 and bounded continued fraction entries.” Ergodic Theory and Dynamical Systems, 21(5), pp. 1429–1445.
  • Jarník, V. (1929). “Zur metrischen Theorie der diophantischen Approximationen.” Prace Matematyczno-Fizyczne, 36, pp. 91–106.
  • Hausdorff, F. (1919). “Dimension und äußeres Maß.” Mathematische Annalen, 79, pp. 157–179.

Computed on NVIDIA RTX 5090. All eigenvalue problems solved on GPU via cuSOLVER.

This work was produced through human–AI collaboration (Cahlen Humphreys + Claude). Not independently peer-reviewed. All code and data open for verification at github.com/cahlen/idontknow.