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East Tennessee State University

Non-Classical Symmetry Solutions to the Fitzhugh Nagumo Equation.

Abstract

dc:description.abstract

<p>In <em>Reaction-Diffusion</em> systems, some parameters can influence the behavior of other parameters in that system. Thus reaction diffusion equations are often used to model the behavior of biological phenomena. The Fitzhugh Nagumo partial differential equation is a reaction diffusion equation that arises both in population genetics and in modeling the transmission of action potentials in the nervous system. In this paper we are interested in finding solutions to this equation. Using Lie groups in particular, we would like to find symmetries of the Fitzhugh Nagumo equation that reduce this non-linear PDE to an Ordinary Differential Equation. In order to accomplish this task, the non-classical method is utilized to find the <em>infinitesimal generator</em> and the <em>invariant surface condition</em> for the subgroup where the solutions for the desired PDE exist. Using the infinitesimal generator and the invariant surface condition, we reduce the PDE to a mildly nonlinear ordinary differential equation that could be explored numerically or perhaps solved in closed form.</p>

Degree

thesis:*
Name thesis:degree_name
MS (Master of Science)
Level thesis:degree_level
Thesis - unrestricted
Discipline thesis:degree_discipline
Mathematical Sciences
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mehraban, Arash

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • Copyright by the authors.

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dc.etsu.edu/etd/1736
OAI identifier oai:identifier
oai:dc.etsu.edu:etd-3091

Chain of custody

source
Harvested from
East Tennessee State University
Base URL
dc.etsu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Mehraban, Arash. Non-Classical Symmetry Solutions to the Fitzhugh Nagumo Equation.. Thesis - unrestricted thesis, 2010. https://dc.etsu.edu/etd/1736