Distributional Asymptotic Expansions of Spectral Functions and of the Associated Green Kernels
R. Estrada, S. A. Fulling

TL;DR
This paper develops a rigorous mathematical framework using distribution and summability theories to analyze the asymptotic expansions of Green functions and spectral densities, clarifying their dependence on geometry and their asymptotic validity.
Contribution
It introduces a distributional approach to asymptotic expansions of spectral functions, distinguishing between pointwise and distributional validity, and clarifies the geometric dependence of expansion coefficients.
Findings
Expansion coefficients depend on the regularity of the integrand at the origin.
The behavior at infinity determines the nature of the asymptotic expansion.
High-frequency spectral density expansion is local in a distributional sense.
Abstract
Asymptotic expansions of Green functions and spectral densities associated with partial differential operators are widely applied in quantum field theory and elsewhere. The mathematical properties of these expansions can be clarified and more precisely determined by means of tools from distribution theory and summability theory. (These are the same, insofar as recently the classic Cesaro-Riesz theory of summability of series and integrals has been given a distributional interpretation.) When applied to the spectral analysis of Green functions (which are then to be expanded as series in a parameter, usually the time), these methods show: (1) The "local" or "global" dependence of the expansion coefficients on the background geometry, etc., is determined by the regularity of the asymptotic expansion of the integrand at the origin (in "frequency space"); this marks the difference between a…
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Taxonomy
TopicsNumerical methods in inverse problems · Mathematical functions and polynomials · Spectral Theory in Mathematical Physics
