On the Evaluation of the Eigendecomposition of the Airy Integral Operator
Zewen Shen, Kirill Serkh

TL;DR
This paper develops a highly precise numerical method for eigendecomposition of the Airy integral operator, enabling accurate evaluation of distributions in random matrix theory and applications in optics.
Contribution
It introduces an efficient eigendecomposition algorithm leveraging a commuting differential operator, achieving full relative precision and characterizing eigenfunctions of the Airy integral operator.
Findings
Eigenfunctions of the Airy integral operator are characterized.
The algorithm computes distributions with full relative precision except in the left tail.
Application to optics yields an optimal finite-energy Airy beam.
Abstract
The distributions of the -th largest level at the soft edge scaling limit of Gaussian ensembles are some of the most important distributions in random matrix theory, and their numerical evaluation is a subject of great practical importance. One numerical method for evaluating the distributions uses the fact that they can be represented as Fredholm determinants involving the so-called Airy integral operator. When the spectrum of the integral operator is computed by discretizing it directly, the eigenvalues are known to at most absolute precision. Remarkably, the Airy integral operator is an example of a so-called bispectral operator, which admits a commuting differential operator that shares the same eigenfunctions. In this manuscript, we develop an efficient numerical algorithm for evaluating the eigendecomposition of the Airy integral operator to full relative precision, using the…
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