Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator
Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk

TL;DR
This paper explores methods for computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator, addressing practical challenges in higher dimensions and proposing a new computational approach.
Contribution
It introduces a tractable method for computing eigenfunctions in general cases, extending beyond special cases with known solutions.
Findings
Reviewed special cases with explicit eigenfunctions
Proposed a new computational approach for general eigenfunctions
Discussed the dimension dependence of the method
Abstract
We discuss approaches to computing eigenfunctions of the Ornstein--Uhlenbeck (OU) operator in more than two dimensions. While the spectrum of the OU operator and theoretical properties of its eigenfunctions have been well characterized in previous research, the practical computation of general eigenfunctions has not been resolved. We review special cases for which the eigenfunctions can be expressed exactly in terms of commonly used orthogonal polynomials. Then we present a tractable approach for computing the eigenfunctions in general cases and comment on its dimension dependence.
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Taxonomy
TopicsStochastic processes and financial applications · Spectral Theory in Mathematical Physics · Numerical methods in inverse problems
