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Nonlinear reaction-diffusion systems...

Cherniha, Roman.

Nonlinear reaction-diffusion systemsconditional symmetry, exact solutions and their applications in biology /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear reaction-diffusion systemsby Roman Cherniha, Vasyl' Davydovych.
Reminder of title:	conditional symmetry, exact solutions and their applications in biology /
Author:	Cherniha, Roman.
other author:	Davydovych, Vasyl'.
Published:	Cham :Springer International Publishing :2017.
Description:	xiii, 160 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Reaction-diffusion equations.
Online resource:	http://dx.doi.org/10.1007/978-3-319-65467-6
ISBN:	9783319654676$q(electronic bk.)

Nonlinear reaction-diffusion systemsconditional symmetry, exact solutions and their applications in biology /
Cherniha, Roman.

Nonlinear reaction-diffusion systemsconditional symmetry, exact solutions and their applications in biology /[electronic resource] :by Roman Cherniha, Vasyl' Davydovych. - Cham :Springer International Publishing :2017. - xiii, 160 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,21960075-8434 ;. - Lecture notes in mathematics ;2035..

1 Scalar reaction-diffusion equations - conditional symmetry, exact solutions and applications -- 2 Q-conditional symmetries of reaction-diffusion systems -- 3 Conditional symmetries and exact solutions of diffusive Lotka-Volterra systems -- 4 Q-conditional symmetries of the first type and exact solutions of nonlinear reaction-diffusion systems -- A List of reaction-diffusion systems and exact solutions -- Index.

This book presents several fundamental results in solving nonlinear reaction-diffusion equations and systems using symmetry-based methods. Reaction-diffusion systems are fundamental modeling tools for mathematical biology with applications to ecology, population dynamics, pattern formation, morphogenesis, enzymatic reactions and chemotaxis. The book discusses the properties of nonlinear reaction-diffusion systems, which are relevant for biological applications, from the symmetry point of view, providing rigorous definitions and constructive algorithms to search for conditional symmetry (a nontrivial generalization of the well-known Lie symmetry) of nonlinear reaction-diffusion systems. In order to present applications to population dynamics, it focuses mainly on two- and three-component diffusive Lotka-Volterra systems. While it is primarily a valuable guide for researchers working with reaction-diffusion systems and those developing the theoretical aspects of conditional symmetry conception, parts of the book can also be used in master's level mathematical biology courses.

ISBN: 9783319654676$q(electronic bk.)

Standard No.: 10.1007/978-3-319-65467-6doiSubjects--Topical Terms:

224595
Reaction-diffusion equations.

LC Class. No.: QA377

Dewey Class. No.: 515.353

Nonlinear reaction-diffusion systemsconditional symmetry, exact solutions and their applications in biology /
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520 $a This book presents several fundamental results in solving nonlinear reaction-diffusion equations and systems using symmetry-based methods. Reaction-diffusion systems are fundamental modeling tools for mathematical biology with applications to ecology, population dynamics, pattern formation, morphogenesis, enzymatic reactions and chemotaxis. The book discusses the properties of nonlinear reaction-diffusion systems, which are relevant for biological applications, from the symmetry point of view, providing rigorous definitions and constructive algorithms to search for conditional symmetry (a nontrivial generalization of the well-known Lie symmetry) of nonlinear reaction-diffusion systems. In order to present applications to population dynamics, it focuses mainly on two- and three-component diffusive Lotka-Volterra systems. While it is primarily a valuable guide for researchers working with reaction-diffusion systems and those developing the theoretical aspects of conditional symmetry conception, parts of the book can also be used in master's level mathematical biology courses.
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