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Orthogonal Latin Squares Based on Groups


Menge:  Stück  
Produktinformationen
cover
cover
Artikel-Nr.:
     5667A-9783319944296
Hersteller:
     Springer Verlag
Herst.-Nr.:
     9783319944296
EAN/GTIN:
     9783319944296
Suchbegriffe:
Mathematik-Bücher
Mathematikbücher - englischsprachig
mathematik bücher
This monograph presents a unified exposition of latin squares and mutually orthogonal sets of latin squares based on groups. Its focus is on orthomorphisms and complete mappings of finite groups, while also offering a complete proof of the Hall-Paige conjecture. The use of latin squares in constructions of nets, affine planes, projective planes, and transversal designs also motivates this inquiry.   The text begins by introducing fundamental concepts, like the tests for determining whether a latin square is based on a group, as well as orthomorphisms and complete mappings. From there, it describes the existence problem for complete mappings of groups, building up to the proof of the Hall-Paige conjecture. The third part presents a comprehensive study of orthomorphism graphs of groups, while the last part provides a discussion of Cartesian projective planes, related combinatorial structures, and a list of open problems.   Expanding the author's 1992 monograph, , this book is an essential reference tool for mathematics researchers or graduate students tackling latin square problems in combinatorics. Its presentation draws on a basic understanding of finite group theory, finite field theory, linear algebra, and elementary number theory--more advanced theories are introduced in the text as needed.
Weitere Informationen:
Author:
Anthony B. Evans
Verlag:
Springer International Publishing
Sprache:
eng
Weitere Suchbegriffe: Algebra, Graph - Graphentheorie, Algebra / Gruppe (mathematisch), Gruppe (mathematisch) - Gruppentheorie, Kombinatorik, Orthomorphism; complete mapping; latin square; MOLS; finite group; finite field; combinatorics; orthogonality; Difference matrix, Orthomorphism, Complete mapping, Latin square, MOLS, Difference matrix
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