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- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Mathematics (LNM, volume 1921)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
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.
Reviews
From the reviews:
"The book introduces a new class of nonassociative algebras, called evolution algebras, and discusses in detail many applications of evolution algebras in stochastic processes and genetics. … The book under review is suitable both for graduate students and researchers with interest in the theoretical biology, genetics, Markov process, graph theory, and nonassociative algebras and their applications. The text contains a clear, detailed and self-contained exposition of evolution algebras."(Fouad Zitan, Zentralblatt MATH, Vol. 1136 (14), 2008)
Authors and Affiliations
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Mathematical Biosciences Institute, The Ohio State University, Columbus, USA
Jianjun Paul Tian
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Mathematics Department, College of William and Mary, Williamsburg, USA
Jianjun Paul Tian
Bibliographic Information
Book Title: Evolution Algebras and their Applications
Authors: Jianjun Paul Tian
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-540-74284-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-74283-8Published: 18 October 2007
eBook ISBN: 978-3-540-74284-5Published: 24 December 2007
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XI, 133
Topics: Algebra, General Algebraic Systems, Non-associative Rings and Algebras, Probability Theory and Stochastic Processes, Mathematical and Computational Biology