Critical-regime covariance-matrix invariants and decompositions
Determine the Jordan normal form, determinant, inverse matrix, eigenspaces, LU decomposition, Cholesky decomposition, and matrix-root decomposition of the asymptotic covariance matrix of a vector of normalized volume power functionals in the critical regime of random Vietoris–Rips complexes, for general admissible parameter sequences.
References
Several key results are established which, in particular, generalize well-known facts on random graphs. Findings regarding rank, definiteness, determinant, eigenspaces, and related decompositions are presented within three distinct regimes. Moreover, we derive stochastic applications of these algebraic properties, leading to interesting results for vectors of volume power functionals.
— Covariance matrices of volume power functionals of random simplicial complexes -- an asymptotic analysis
(2509.15790 - Westenholz, 19 Sep 2025) in Section 3, Tables 1–2 (Section \ref{Kap: Main results}); discussed again in Section 7 (Section \ref{Section: Outlook})