<p><P>Behind genetics and Markov chains, there is an intrinsic algebraic structure. It is defined as a type of new algebra: as evolution algebra. This concept lies between algebras and dynamical systems. Algebraically, evolution algebras are non-associative Banach algebras; dynamically, they represe
Evolution Algebras and Their Applications
β Scribed by Jianjun Paul Tian (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2008
- Tongue
- English
- Leaves
- 135
- Series
- Lecture notes in mathematics 1921
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Behind genetics and Markov chains, there is an intrinsic algebraic structure. It is defined as a type of new algebra: as evolution algebra. This concept lies between algebras and dynamical systems. Algebraically, evolution algebras are non-associative Banach algebras; dynamically, they represent discrete dynamical systems. Evolution algebras have many connections with other mathematical fields including graph theory, group theory, stochastic processes, dynamical systems, knot theory, 3-manifolds, and the study of the Ihara-Selberg zeta function. In this volume the foundation of evolution algebra theory and applications in non-Mendelian genetics and Markov chains is developed, with pointers to some further research topics.
β¦ Table of Contents
Front Matter....Pages I-XI
Introduction....Pages 1-7
Motivations....Pages 9-16
Evolution Algebras....Pages 17-52
Evolution Algebras and Markov Chains....Pages 53-90
Evolution Algebras and Non-Mendelian Genetics....Pages 91-107
Further Results and Research Topics....Pages 109-118
Back Matter....Pages 119-129
β¦ Subjects
General Algebraic Systems; Non-associative Rings and Algebras; Probability Theory and Stochastic Processes; Mathematical Biology in General
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