Distinct-eigenvalue conjecture for subcritical covariance matrices
Distinct-eigenvalue conjecture for subcritical covariance matrices
Let be the covariance matrix of the length power functionals in the subcritical regime, for , with eigenvalues . Distinct-eigenvalue conjecture. The eigenvalues are pairwise distinct:
The conjecture is motivated by the question of whether the previously obtained lower and upper eigenvalue bounds are sharp for ; the supplied text gives no resolution of the distinctness claim.
Sources & referencesView supporting material
Primary source
Matthias Reitzner, Tim Römer and Mandala von Westenholz, “Covariance matrices of length power functionals of random geometric graphs – an asymptotic analysis”, arXiv:2207.05450 (2022).
Additional references
2 papers in this index state this conjecture (2017–2022). The statement above is taken from the most recent of them; the others are arXiv:1709.09011.
Progress summary
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