Zaremba Representation Counts Grow as
The Finding
For each integer , define as the number of continued fraction representations with all partial quotients and . Our GPU computation shows:
matching the prediction from the transfer operator analysis. Crucially, the hardest cases are small , not large :
| Notes | ||
|---|---|---|
| 1 | 1 | Minimum |
| 13 | 1 | Minimum |
| 18 | 2 | |
| 19 | 2 | |
| 23 | 2 | |
| 100 | ~15 | |
| 1000 | ~300 | |
| 10000 | ~7000 | |
| 100000 | ~50000+ |
Why This Matters
A counterexample to Zaremba’s Conjecture would require for some . Our data shows is monotonically increasing on average — the larger gets, the MORE representations it has. The only values with are and , both well within our verified range.
This growth rate is exactly what the transfer operator predicts: the number of CF paths of length with partial quotients in grows as (since is chosen so ), and the denominators of these paths cover values up to , giving each approximately representations.
Method
GPU representation counter (exponential_sum.cu): enumerates all CF sequences with partial quotients and denominators , counting how many produce each denominator . Uses the same fused expand+compact tree walk as the v5/v6 verification kernels.
References
- Zaremba, S.K. (1972). “La méthode des ‘bons treillis’ pour le calcul des intégrales multiples.” 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. (1992). “Continued fraction Cantor sets, Hausdorff dimension, and functional analysis.” Journal of Number Theory, 40(3), pp. 336–358.
Computed on NVIDIA B200. Code: 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 at github.com/cahlen/idontknow.