Non-singularity conjecture for the partial-sums coefficient matrix
Non-singularity conjecture for the partial-sums coefficient matrix
Let be the sum of the discrete random variables considered in the system, and let 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 . Numerical experiments support this claim, while a general proof remains elusive when the terms in the recurrence are not identically zero.
Sources & referencesView supporting material
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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