Shifted Bernoulli full-shift probability conjecture

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Fix q∈(0,1)q\in(0,1), and let Dn,q\mathbb{D}_{n,q} be the Bernoulli random digraph on nn vertices. Write ΣDn,q\Sigma_{\mathbb{D}_{n,q}} for its associated shift of finite type, and let ζ\zeta denote the Riemann zeta function.

Shifted Bernoulli full-shift probability conjecture.

lim⁡n→∞P(σ ⁣:ΣDn,q→ΣDn,q is flow equivalent to a full shift)=12∏p prime(1+1p2−p)∏k=2∞ζ(k)−1≈0.42347.\lim_{n\to\infty}\mathbb{P}\left(\sigma\colon\Sigma_{\mathbb{D}_{n,q}}\to\Sigma_{\mathbb{D}_{n,q}}\text{ is flow equivalent to a full shift}\right)=\frac{1}{2}\prod_{p\text{ prime}}\left(1+\frac{1}{p^2-p}\right)\prod_{k=2}^{\infty}\zeta(k)^{-1}\approx0.42347.

This conjecture concerns the asymptotic full-shift probability for Bernoulli random digraphs; the supplied context presents it as an expectation supported by data, with no resolution stated.

References

Primary source

Bhishan Jacelon and Igor Khavkine, “Operator K-theoretic analysis of random adjacency matrices”, arXiv:2307.01861 (2025).

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