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  1. Spectral Crowding and Compression Limits for Arithmetic Covariance OperatorsScott SchubrEdition 2 · 2026-11-02 Public
  2. Positive Operator Cocycles in Shrinking CorridorsScott SchubrEdition 2 · 2026-10-31 Public
  3. Spectral escape for interacting and coalescing signed potential formsScott SchubrEdition 5 · 2026-10-30 Public
  4. Polynomial cores and inertia under Carleman moment boundsScott SchubrEdition 3 · 2026-10-30 Public
  5. Relative tail payment and spectral enclosuresScott SchubrEdition 1 · 2026-10-29 Public
  6. Observation norms under double-exponential confinementScott SchubrEdition 2 · 2026-10-27 Public
  7. Growing null subtraction and weighted Weil zero detectionScott SchubrEdition 2 · 2026-10-27 Public
  8. Weighted polynomial localization and theta correction inertiaScott SchubrEdition 2 · 2026-10-27 Public
  9. Critical-tail localization and growing theta correction inertiaScott SchubrEdition 2 · 2026-10-27 Public
  10. Finite certificates for the lower edge of a weighted Weil operatorScott SchubrEdition 2 · 2026-10-27 Public

Relative tail payment and spectral enclosures

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Abstract

We sharpen the relative tail-payment estimate for a self-adjoint diagonal operator perturbed by a bounded self-adjoint operator with bounded first commutator. A smooth spectral cutoff replaces the growing-band argument and gives complete relative tail payment at the threshold A ≥ max{16P, (1152K²/δ)^(1/3)}, where P bounds the perturbation, K bounds its first commutator, and δ is the positive finite-head margin. The estimate retains the original finite head and the complete receiving tail. A shifted version yields indexed lower enclosures for every low Ritz eigenvalue, including an indefinite finite head. A fixed rank-two perturbation of a compact-resolvent diagonal operator shows that the cubic truncation power is optimal in this first-commutator class. Jacobi examples illustrate the resulting enclosures with explicit commutator budgets. This supplement develops the relative tail-payment method of the arithmetic matrix criteria predecessor.

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