Mathematical consequences of eigenvalue rings in phase-dependent relaxation

Determine the mathematical consequences of rings of badly conditioned eigenvalues in truncated CMV matrices and explain why their effects differ between phases I and II.

Background

For CMV matrices with exponentially decaying Verblunsky coefficients, the eigenvalues of the finite truncated propagator can condense on a ring of radius μ. In phase II, this ring is composed of badly conditioned eigenvalues and obscures the true Ruelle–Pollicott resonance, whose modulus is smaller than μ. The authors observe that the same ring has different dynamical consequences in phases I and II, but do not provide a mathematical explanation of this distinction.

References

It remains an open problem to better understand mathematical consequences that such a ring can have, and also why are its effects so different between phases I and II.

Solvable relaxation in discrete unitary systems: Ruelle-Pollicott resonances and CMV matrices  (2608.28575 - Duh et al., 28 Aug 2026) in Section 4.2, p. 24