The asymptotic enumeration conjecture for dope matrices

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Let Dnm\mathcal{D}_n^m denote the set of dope matrices with parameters nn and mm. For functions m(t),n(t) ⁣:Z>0→Z>0m(t),n(t)\colon \mathbb Z_{>0}\to\mathbb Z_{>0} satisfying

n(t)→∞,1<m(t)≤n(t)2+n(t)2,n(t)\to\infty,\qquad 1<m(t)\leq \frac{n(t)^2+n(t)}{2},

Asymptotic enumeration conjecture. We have

log⁡∣Dnm∣∼log⁡(nm(mnn)).\log\left\lvert\mathcal{D}_n^m\right\rvert\sim \log\left(n^m\binom{mn}{n}\right).

This conjecture asserts that the lower bound in the paper's asymptotic estimate gives the correct asymptotic formula throughout the stated range of parameters. Its resolution is not indicated in the supplied text.

References

Primary source

Ankit Bisain, “Generic Classification and Asymptotic Enumeration of Dope Matrices”, arXiv:2209.13811 (2022).

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