Polynomial Chaos Confined to the Unit Circle

Abstract

Polynomial chaos expresses a probability density function (pdf) as a linear combination of basis polynomials. If the density and basis polynomials are over the same field, any set of basis polynomials can describe the pdf; however, the most logical choice of polynomials is the family that is orthogonal with respect to the pdf. This problem is well-studied over the field of real numbers, but has yet to be extended to the field of complex numbers. This extension would make polynomial chaos a feasible choice for representing angular random variables, which are confined to the complex unit circle. A method of performing polynomial chaos expansions on angular random variables is developed using the Szegö polynomials as the orthogonal basis. This expansion provides an alternate method for propagating a circular pdf that does not require a distribution assumption. The accuracy of the expansion, and its ability to propagate a pdf, is tested by comparing the first two raw moments estimated using polynomial chaos against the analytic values.

Department(s)

Mechanical and Aerospace Engineering

International Standard Book Number (ISBN)

978-087703657-9

International Standard Serial Number (ISSN)

0065-3438

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Jan 2018

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