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Orthogonally Resolvable Cycle Decompositions
Author(s) -
Burgess A.,
Danziger P.,
Mendelsohn E.,
Stevens B.
Publication year - 2015
Publication title -
journal of combinatorial designs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.618
H-Index - 34
eISSN - 1520-6610
pISSN - 1063-8539
DOI - 10.1002/jcd.21404
Subject(s) - mathematics , combinatorics , lexicographical order , graph , vertex (graph theory) , cycle basis , discrete mathematics , graph power , line graph
If a cycle decomposition of a graph G admits two resolutions, R and S , such that| R i ∩ S j | ≤ 1for each resolution classR i ∈ R andS j ∈ S , then the resolutions R and S are said to be orthogonal . In this paper, we introduce the notion of an orthogonally resolvable cycle decomposition, which is a cycle decomposition admitting a pair of orthogonal resolutions. An orthogonally resolvable cycle decomposition of a graph G may be represented by a square array in which each cell is either empty or filled with a k –cycle from G , such that every vertex appears exactly once in each row and column of the array and every edge of G appears in exactly one cycle. We focus mainly on orthogonal k ‐cycle decompositions of K n andK n − I (the complete graph with the edges of a 1‐factor removed), denotedOCD ( n , k ) . We give general constructions for such decompositions, which we use to construct several infinite families. We find necessary and sufficient conditions for the existence of an OCD( n , 4). In addition, we consider orthogonal cycle decompositions of the lexicographic product of a complete graph or cycle withK n ¯ . Finally, we give some nonexistence results.

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