Digit 1 Dominance: Five Digits With 1 Beat Fourteen Digits Without
The Finding
For the restricted continued fraction Cantor sets , the Hausdorff dimension spectrum at reveals an extreme asymmetry:
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 to digit , which for small concentrates dramatically on . This is well-known qualitatively — the continued fraction expansion of a typical real number has about 41.5% of the time. But our computation makes the asymmetry quantitative at the level of Hausdorff dimension:
- Removing digit 1 from costs dimension
- Removing digit 15 from costs dimension
- The ratio is approximately 50:1
This is not merely a curiosity. The dimension of governs the metric theory of Diophantine approximation restricted to digit set : Jarník-type theorems, Khintchine-type dichotomies, and the distribution of rationals with bounded partial quotients all depend on . 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 set | Cardinality | |
|---|---|---|
| 5 | 0.837 | |
| 14 | 0.747 | |
| 15 | 0.953 |
Dimension cost of removing each digit from
| Digit removed | Cost | |
|---|---|---|
| 1 | 0.747 | 0.206 |
| 2 | 0.907 | 0.046 |
| 3 | 0.932 | 0.021 |
| 4 | 0.941 | 0.012 |
| 5 | 0.945 | 0.008 |
| 10 | 0.951 | 0.002 |
| 15 | 0.949 | 0.004 |
Subsets containing 1 dominate at every cardinality
For every cardinality from 1 to 14, subsets of 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: .
Gauss measure predicts dimension ranking
The Hausdorff dimension is almost perfectly rank-correlated with the sum
over digits in the subset . Since while , this explains why digit 1 contributes so disproportionately: the Gauss measure weight drops by a factor of 225 from to .
Empirical growth law
The dimension of consecutive-digit sets follows the empirical fit:
This captures the approach to (the full interval) as , with a power-law correction whose exponent reflects the harmonic-like decay of digit contributions.
Method
- Transfer operator:
- Chebyshev collocation at nodes on
- Hausdorff dimension computed as the unique where
- All non-empty subsets of enumerated
- Hardware: NVIDIA RTX 5090
Status
CONFIRMED at n=20. The full computation of all subsets completed in 4,343 seconds on the RTX 5090. The dominance pattern not only persists but strengthens:
| Digit set | Note | |
|---|---|---|
| 0.837 | 5 digits with 1 | |
| 0.768 | 19 digits without 1 | |
| 0.965 | All 20 digits |
Five digits with 1 beat nineteen digits without 1 by a margin of 0.069 in Hausdorff dimension. Removing digit 1 from costs dimension while removing digit 20 costs — a ratio of approximately 100:1 (up from 50:1 at ).
Correction (2026-04-01): 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 matches the Zaremba semigroup dimension — see finding
- Hausdorff dimension spectrum: This finding is extracted from the full spectrum — see experiment
- Lyapunov exponent spectrum: The twin dataset of Lyapunov exponents for all 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
- Transfer operator:
scripts/experiments/zaremba-transfer-operator/transfer_operator.cu
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.