Multi-scale Vandermonde test kernels for spectral trace formulas
Stefan Horvath

TL;DR
This paper introduces a new family of spectral test kernels with multi-scale Vandermonde construction that improve bounds in spectral trace formulas on symmetric spaces.
Contribution
It develops a novel factorization and multi-scale Vandermonde approach to achieve positive semi-definiteness, error decay, and uniform bounds in spectral trace formulas.
Findings
Achieves super-polynomial decay of error terms.
Provides a power-saving uniform spectral bound.
Constructs kernels applicable beyond classical settings.
Abstract
We construct a family of test kernels for use in spectral trace formulas on locally symmetric spaces. The key innovation is the factorization , which simultaneously achieves: (i) automatic positive semi-definiteness of the spectral multiplier ; (ii) -fold moment annihilation via a multi-scale Vandermonde construction, yielding super-polynomial decay of all error terms; (iii) uniform spectral parameter bounds (Master-Bound) with depending only on the symmetry order and the annihilation depth , representing a power saving over the main term . The cost is a controlled polynomial growth in the Vandermonde coefficients (with exponent strictly less than 1), which is dominated by the…
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