The regularized-series conjecture for the barcode kernel
The regularized-series conjecture for the barcode kernel
Let and be the model parameters, let be the orthogonal functions appearing in the barcode kernel, and let be the limiting kernel for . Regularized barcode-kernel conjecture. For all with , the specified regularized partial sums converge and equal ; using the alternative truncation and regularization factor specified in the statement likewise yields . 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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