Almost-everywhere log-concavity conjecture for major-index generating polynomials

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Let λn\lambda\vdash n be a partition, and let \SYT(λ)\maj(q)\SYT(\lambda)^{\maj}(q) denote the major-index generating polynomial of standard Young tableaux of shape λ\lambda. A polynomial is log-concave when its coefficients cic_i satisfy ci2ci1ci+1c_i^2\geq c_{i-1}c_{i+1} wherever these coefficients are defined.

Log-concavity conjecture. The polynomials \SYT(λ)\maj(q)\SYT(\lambda)^{\maj}(q) are almost always log-concave for partitions λn\lambda\vdash n for large nn.

The conjecture is motivated by the log-concavity of the normal distribution and computational data showing increasing proportions of log-concave examples for n=30,40,50n=30,40,50. The meaning of “almost always” is not quantified in the statement, so the precise asymptotic formulation remains open.

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Sources & referencesView supporting material

Primary source

Sara C. Billey, Matjaž Konvalinka and Joshua P. Swanson, “Asymptotic normality of the major index on standard tableaux”, arXiv:1905.00975 (2019).

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