The maximum conjecture for uniform-distribution thresholds

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For an integer base β\beta, let Υ(β)\Upsilon(\beta) be the smallest KK such that, for all k≥Kk\geq K, the digits 0,1,…,β−10,1,\ldots,\beta-1 are uniformly distributed in the relevant sequence (Φβk(n))n=1Nk\left(\Phi_{\beta^k}(n)\right)_{n=1}^{N_k}.

Maximum conjecture. If coprime bases β1\beta_1 and β2\beta_2 satisfy Υ(β1)=u\Upsilon(\beta_1)=u and Υ(β2)=v\Upsilon(\beta_2)=v, then

Υ(β1β2)=max⁡(uv).\Upsilon(\beta_1\beta_2)=\operatorname{max}(uv).

More generally, for any finite set of pairwise coprime bases β1,…,βn\beta_1,\ldots,\beta_n with Υ(βi)=ui\Upsilon(\beta_i)=u_i, one has

Υ(β1,…,βn)=max⁡(u1,…,un).\Upsilon(\beta_1,\ldots,\beta_n)=\operatorname{max}(u_1,\ldots,u_n).

This is proposed as a generalization of Jacobson's method for combining distribution information in coprime bases. The source gives no proof or resolution, so the conjecture is open.

References

Primary source

Brennan Benfield and Michelle Manes, “The Fibonacci Sequence is Normal Base 10”, arXiv:2202.08986 (2022).

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