Extended symmetry analysis of isothermal no-slip drift flux model

Opanasenko, Stanislav (2017) Extended symmetry analysis of isothermal no-slip drift flux model. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (590kB)

Abstract

We carry out extended symmetry analysis of the hydrodynamic-type system of differential equations modeling an isothermal no-slip drift flux. The maximal Lie invariance algebra of this system is proved to be infinite-dimensional. We also find its complete point symmetry group, including discrete symmetries, using the megaideal-based version of the algebraic method. Optimal lists of one- and twodimensional subalgebras of the above algebra are constructed to obtain groupinvariant solutions. Applying the generalized hodograph method and linearizing the essential subsystem, we represent the general solution of the system under study in terms of solutions of the Klein–Gordon equation. Amongst first-order generalized symmetries, we single out genuinely generalized ones and relate them to Lie symmetries of the essential subsystem. Moreover, we construct infinite families of recursion operators, conservation laws and Hamiltonian structures of the entire system.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/12896
Item ID: 12896
Additional Information: Includes bibliographical references (pages 74-77).
Keywords: symmetries, generalized symmetries, conservation laws, Complete point symmetry group, Hamiltonian structure
Department(s): Science, Faculty of > Mathematics and Statistics
Date: August 2017
Date Type: Submission
Library of Congress Subject Heading: Symmetry (Mathematics); Conservation laws (Mathematics); Hamiltonian systems

Actions (login required)

View Item View Item

Downloads

Downloads per month over the past year

View more statistics