Digit 1 Amplification in Zaremba Density
The Finding
For Zaremba density — the fraction of integers representable as a continued fraction denominator using only digits from a set — replacing digit 2 with digit 1 amplifies density by a large factor. The original inverse-square headline is too strong: the current matched-cutoff data show strong amplification, but not a confirmed law.
At matched for both and :
At , matched data currently exist only for , giving a suggestive but underdetermined fit . That three-point overlap is not enough to claim an inverse-square law.
Data
All densities in this table use the same cutoff, :
| density | density | Amplification | |
|---|---|---|---|
| 3 | 11.0568% | 0.045486% | 243× |
| 4 | 1.6096% | 0.010605% | 152× |
| 5 | 0.4398% | 0.004126% | 107× |
| 6 | 0.1721% | 0.002333% | 73.8× |
| 7 | 0.0840% | 0.001302% | 64.6× |
| 8 | 0.0475% | 0.000869% | 54.6× |
| 9 | 0.0297% | 0.000638% | 46.6× |
| 10 | 0.0201% | 0.000472% | 42.5× |
The earlier version mixed densities at with densities at , which biases the fitted exponent because these densities are still scale-dependent.
Why This Matters
The golden ratio connection
Digit 1 in a continued fraction corresponds to the golden ratio . The Gauss measure assigns weight to digit , giving digit 1 approximately 41.5% of the total weight — nearly half. But Gauss measure is about typical behavior. Our result quantifies the extremal behavior: how much more of the integer line digit 1 can reach compared to digit 2, as a function of the companion digit.
Why an inverse-square law is still plausible but unproved
The Gauss measure weight ratio between digits 1 and 2 is:
This is a constant — it doesn’t depend on . So the decay in amplification must come from the interaction between digit 1 and digit , not from digit 1 alone. As grows, the continued fraction tree for and become increasingly similar in structure (both dominated by their small digit), and the advantage of digit 1 over digit 2 diminishes — but at a rate governed by .
This is reminiscent of the predictor for Hausdorff dimension (see Hausdorff digit-one dominance): the difference is a constant, but its relative importance compared to decays as grows. The current data are consistent with a drift toward a quadratic law at larger , but matched larger-scale runs are required before making that claim.
Additional Patterns
{1,2,k} exception count growth
The number of integers with no -representation grows as a decelerating exponential in :
| Exceptions | Ratio | Status | |
|---|---|---|---|
| 3 | 27 | — | Stable candidate through ; 10^11 repo log is partial |
| 4 | 64 | 2.4 | Stable candidate through ; 10^11 repo log is partial |
| 5 | 374 | 5.8 | Stable candidate through ; 10^11 repo log is partial |
| 6 | 1,834 | 4.9 | Stable candidate through |
| 7 | 7,178 | 3.9 | Stable candidate through |
| 8 | 23,590 | 3.3 | Open at |
| 9 | 77,109 | 3.3 | Open at |
| 10 | 228,514 | 3.0 | Open at |
The growth ratios converge toward , suggesting asymptotic behavior . A quadratic-log model fits with .
{1,3,5} approaching a finite limit
The exception set for shows strong evidence of convergence:
| Exceptions | New exceptions | |
|---|---|---|
| 75,547 | — | |
| 80,431 | +4,884 | |
| 80,945 | +514 |
The increment dropped 9.5× per decade. Geometric extrapolation gives a limit of approximately 81,005, with fewer than 60 exceptions remaining beyond . If confirmed at , this would be evidence for another stable exception set and the first such candidate with non-consecutive digits.
Method
- Transfer operator enumeration: GPU threads enumerate all continued fraction trees with digits in , marking denominators in a bitset
- Prefix splitting: CPU generates tree prefixes to bounded depth; GPU threads do DFS on subtrees
- Hardware: 8×NVIDIA B200 GPUs (180 GB each), RTX 5090 for smaller runs
- All densities computed from complete enumeration up to , not sampling
Connection to Other Findings
- Zaremba digit pair hierarchy: Established the and hierarchies separately; this finding quantifies the ratio between them
- Zaremba exception hierarchy: Exception counts for ; this finding adds the growth model and {1,3,5} convergence
- Hausdorff digit-one dominance: The predictor for dimension motivates testing inverse-square amplification in density, but does not prove it
Code
- Density kernel:
scripts/experiments/zaremba-density/zaremba_density_gpu.cu - All results:
scripts/experiments/zaremba-density/results/
References
- Zaremba, S. K. (1972). “La méthode des ‘bons treillis’ pour le calcul des intégrales multiples.” In Applications of Number Theory to Numerical Analysis, pp. 39–119.
- Bourgain, J. and Kontorovich, A. (2014). “On Zaremba’s conjecture.” Annals of Mathematics, 180(1), pp. 137–196.
- Hensley, D. (1996). “A polynomial time algorithm for the Hausdorff dimension of continued fraction Cantor sets.” Journal of Number Theory, 58(1), pp. 9–45.
Computed on 8×NVIDIA B200 GPUs. All data open at github.com/cahlen/idontknow.
This work was produced through human–AI collaboration (Cahlen Humphreys + Claude). Not independently peer-reviewed. All code and data open for verification.