Mathematical Aspects of Reacting and Diffusing Systems Lecture Notes in Biomathematics, Band 28

Fife, Paul C.:

ISBN 10: 3540091173 / ISBN 13: 9783540091172

Published by Springer Verlag;, 1979

About this Item

185 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 330.

Seller Inventory # 1811470

Bibliographic Details

• Title: Mathematical Aspects of Reacting and Diffusing Systems Lecture Notes in Biomathematics, Band 28
• Publisher: Springer Verlag
• Publication Date: 1979
• Language: English
• ISBN 10: 3540091173
• ISBN 13: 9783540091172
• Binding: Broschiert
• Condition: Gut
• Weight: 330 grams
• Seller catalogs:
  • 200 Mathematik

About this title

Synopsis

Modeling and analyzing the dynamics of chemical mixtures by means of differ- tial equations is one of the prime concerns of chemical engineering theorists. These equations often take the form of systems of nonlinear parabolic partial d- ferential equations, or reaction-diffusion equations, when there is diffusion of chemical substances involved. A good overview of this endeavor can be had by re- ing the two volumes by R. Aris (1975), who himself was one of the main contributors to the theory. Enthusiasm for the models developed has been shared by parts of the mathematical community, and these models have, in fact, provided motivation for some beautiful mathematical results. There are analogies between chemical reactors and certain biological systems. One such analogy is rather obvious: a single living organism is a dynamic structure built of molecules and ions, many of which react and diffuse. Other analogies are less obvious; for example, the electric potential of a membrane can diffuse like a chemical, and of course can interact with real chemical species (ions) which are transported through the membrane. These facts gave rise to Hodgkin's and Huxley's celebrated model for the propagation of nerve signals. On the level of populations, individuals interact and move about, and so it is not surprising that here, again, the simplest continuous space-time interaction-migration models have the same g- eral appearance as those for diffusing and reacting chemical systems.