The regularized-series conjecture for the barcode kernel

Let qq and κ\kappa be the model parameters, let Fns(0)\mathcal{F}_n^s(0) be the orthogonal functions appearing in the barcode kernel, and let Kbarcode(s,t)\mathcal{K}^{\mathrm{barcode}}(s,t) be the limiting kernel for s,tZs,t\in\mathbb{Z}. Regularized barcode-kernel conjecture. For all s,tZs,t\in\mathbb{Z} with sts\ge t, the specified regularized partial sums converge and equal Kbarcode(s,t)\mathcal{K}^{\mathrm{barcode}}(s,t); using the alternative truncation and regularization factor specified in the statement likewise yields Kbarcode(s+1,t+1)\mathcal{K}^{\mathrm{barcode}}(s+1,t+1). This conjecture proposes a regularization of the otherwise divergent kernel series and identifies it with the scaling limit; its validity is supported numerically and remains open.

Sources & referencesView supporting material

Primary source

Alisa Knizel and Leonid Petrov, “Random Lozenge Waterfall: Dimensional Collapse of Gibbs Measures”, arXiv:2507.22011 (2025).

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