TY  - BOOK
AU  - Cherniha,Roman
AU  - Davydovych,Vasyl'.
ED  - SpringerLink (Online service)
TI  - Nonlinear Reaction-Diffusion Systems: Conditional Symmetry, Exact Solutions and their Applications in Biology 
T2  - Lecture Notes in Mathematics,
SN  - 9783319654676
AV  - QH323.5 
U1  - 570.285 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Biomathematics
KW  - Partial differential equations
KW  - Mathematical physics
KW  - Mathematical and Computational Biology
KW  - Partial Differential Equations
KW  - Mathematical Physics
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-65467-6
ER  -