Non-singularity conjecture for the partial-sums coefficient matrix

Let SNS_N be the sum of the discrete random variables considered in the system, and let ESN\mathbb{E}S_N denote its expectation. The coefficient matrix of is the matrix determining the unknown initial probabilities. Non-singularity conjecture. The coefficient matrix in is non-singular whenever ESN<0\mathbb{E}S_N<0. Numerical experiments support this claim, while a general proof remains elusive when the terms bk(x)b_k(x) in the recurrence are not identically zero.

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Primary source

Andrius Grigutis and Juozas Petkelis, “The limit law of the maximum of discrete partial-sums distribution II”, arXiv:2607.11275 (2026).

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