Date of Award
5-2016
Document Type
Thesis
Degree Name
Master of Science (MS)
College/School
College of Science and Mathematics
Department/Program
Mathematical Sciences
Thesis Sponsor/Dissertation Chair/Project Chair
A. David Trubatch
Committee Member
Arup Mukjerjee
Committee Member
Bogdan G. Nita
Abstract
Numerical analysis is a powerful resource in all mathematical sciences especially in the study of partial differential equations (PDEs). It allows evaluating and demonstrating derived solutions for PDEs and whenever the solution can’t be derived analytically it provides us with ability to calculate the solution function numerically and predict its behavior over time. This work presents a numerical method to evaluate an analytically known solution, demonstrates the needed parameters to achieve the desired accuracy, extends the methodology into the sphere of the mathematical unknown to be able to predict the results by using the same numerical methodology. The equation in question which we are going to analyze is a short pulse equation (SPE) which is an alternative model for the nonlinear Schrodinger equation. The SPE finds applications, for example, as a model for ultrashort pulses in optical fibers and has a form: uxt — u + | ( u3)xx. SPE is an integrable nonlinear partial differential equation. The soliton solutions of the NLSE have played an important role in the development of fiber-optic communications. But when the pulse becomes short, results produced by the NLSE worsen but the SPE generates good output. For this reason, it is very interesting to find the exact or numerical way to solve the SPE which represents the ultra-short light pulses.
File Format
Recommended Citation
Slepoi, Jeffrey, "Numerical Detection of Wave Breaking in the Short-Pulse Equation" (2016). Theses, Dissertations and Culminating Projects. 612.
https://digitalcommons.montclair.edu/etd/612