Graduation Semester and Year
2013
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Mathematics
Department
Mathematics
First Advisor
Benito Chen-Charpentier
Abstract
The role of randomness in mathematical models is of paramount importance, with emphasis placed upon the accuracy and reliability of predictions a rational approach is the use of differential equations with random parameters to describe natural phenomena. Well known methods such as Monte Carlo methods and the method of moments have been implemented to approximate the solutions to random differential equations in the last few decades. In this work, analytic solutions to a particular Riccati type dierential equation and discrete delay dierential equation with random coefficients are derived, also, due to its spectral rate of convergence and simplicity, the polynomial chaos expansion method is considered to approximate the moments of the solutions. The performance of the method is exhibited and potential future applications are discussed.
Disciplines
Mathematics | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Licea Salazar, Juan Antonio, "The Polynomial Chaos Method With Applications To Random Differential Equations" (2013). Mathematics Dissertations. 62.
https://mavmatrix.uta.edu/math_dissertations/62
Comments
Degree granted by The University of Texas at Arlington