Title
Complexity of circuit intersection in graphs
Abstract
Consider the decision problem STRICT BOUNDED CIRCUIT INTERSECTION (SBCI): Given a finite graph G =( V , E ) and K ∈ Z + . Is there a subset E ′ ⊆ E with | E ′| ⩾ K such that | E ′ ∩ C | < | C |/ L for every circuit C of G ? The problem NONSTRICT BCI (NBCI) is the same, except that | E ′ ∩ C | < | C |/ L is replaced by | E ′ ∩ C | ⩽ | C |/ L . It is proved that SBCI is NP-complete for every fixed integer L ⩾2 even if G is planar and bipartite, and NBCI is NP-complete for every fixed integer L ⩾ 3 even if G is planar. For every fixed integer L ⩾ 4, NBCI is NP-complete even if G is planar and bipartite. The case L = 2 of SBCI answers a question of Welsh, stemming from knot theory. The case L = 2 of NBCI, motivated by coding theory, has been shown to be polynomial for every graph by Frank.
Year
DOI
Venue
1995
10.1016/0012-365X(93)E0194-9
Discrete Mathematics
Keywords
Field
DocType
circuit intersection,coding theory,knot theory,decision problem
Integer,Graph,Discrete mathematics,Combinatorics,Polynomial,Bipartite graph,Knot theory,Coding theory,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
141
1-3
Discrete Mathematics
Citations 
PageRank 
References 
1
0.37
4
Authors
2
Name
Order
Citations
PageRank
Aviezri S. Fraenkel1559164.51
Martin Loebl215228.66