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Evolution algebras and their applications
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 dis...
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Lenguaje: | eng |
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Springer
2008
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-540-74284-5 http://cds.cern.ch/record/1691710 |
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author | Tian, Jianjun Paul |
author_facet | Tian, Jianjun Paul |
author_sort | Tian, Jianjun Paul |
collection | CERN |
description | 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. |
id | cern-1691710 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2008 |
publisher | Springer |
record_format | invenio |
spelling | cern-16917102021-04-21T21:07:42Zdoi:10.1007/978-3-540-74284-5http://cds.cern.ch/record/1691710engTian, Jianjun PaulEvolution algebras and their applicationsMathematical Physics and MathematicsBehind 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.Springeroai:cds.cern.ch:16917102008 |
spellingShingle | Mathematical Physics and Mathematics Tian, Jianjun Paul Evolution algebras and their applications |
title | Evolution algebras and their applications |
title_full | Evolution algebras and their applications |
title_fullStr | Evolution algebras and their applications |
title_full_unstemmed | Evolution algebras and their applications |
title_short | Evolution algebras and their applications |
title_sort | evolution algebras and their applications |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-540-74284-5 http://cds.cern.ch/record/1691710 |
work_keys_str_mv | AT tianjianjunpaul evolutionalgebrasandtheirapplications |