2016
DOI: 10.1016/j.tcs.2016.05.015
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A dichotomy theorem for circular colouring reconfiguration

Abstract: Let p and q be positive integers with p/q ≥ 2. The "reconfiguration problem" for circular colourings asks, given two (p, q)-colourings f and g of a graph G, is it possible to transform f into g by changing the colour of one vertex at a time such that every intermediate mapping is a (p, q)-colouring? We show that this problem can be solved in polynomial time for 2 ≤ p/q < 4 and that it is PSPACE-complete for p/q ≥ 4. This generalizes a known dichotomy theorem for reconfiguring classical graph colourings. As an … Show more

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Cited by 33 publications
(51 citation statements)
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“…Fixed-parameter algorithms have been found when parameterized by k + (where is the length of the reconfiguration sequence) [79,87], parameterized by k and modular-width of the input graph (and hence for cographs when parameterized by k) [75], and for shortest transformation, parameterized by k and the size of the minimum vertex cover (and hence for split graphs parameterized by k) [75]. Other variants for which reconfiguration has been studied include LIST EDGE-COLORING [36,40,100], LIST(2,1)-LABELING [37], CIRCULAR COLORING [101,102], ACYCLIC COLORING [103], and EQUITABLE COLORING [103]. The problem of k-COLORING RECONFIGURATION can also be seen as a special case of HOMOMORPHISM RECONFIGURATION [101,104] and CONSTRAINT SATISFACTION RECONFIGURATION (Section 8).…”
Section: Variants Of Coloringmentioning
confidence: 99%
“…Fixed-parameter algorithms have been found when parameterized by k + (where is the length of the reconfiguration sequence) [79,87], parameterized by k and modular-width of the input graph (and hence for cographs when parameterized by k) [75], and for shortest transformation, parameterized by k and the size of the minimum vertex cover (and hence for split graphs parameterized by k) [75]. Other variants for which reconfiguration has been studied include LIST EDGE-COLORING [36,40,100], LIST(2,1)-LABELING [37], CIRCULAR COLORING [101,102], ACYCLIC COLORING [103], and EQUITABLE COLORING [103]. The problem of k-COLORING RECONFIGURATION can also be seen as a special case of HOMOMORPHISM RECONFIGURATION [101,104] and CONSTRAINT SATISFACTION RECONFIGURATION (Section 8).…”
Section: Variants Of Coloringmentioning
confidence: 99%
“…Fixed-parameter algorithms have been found when parameterized by k + (where is the length of the reconfiguration sequence) [79,87], parameterized by k and modular-width of input graph (and hence for cographs when parameterized by k) [75], and for shortest transformation, parameterized by k and the size of the minimum vertex cover (and hence for split graphs parameterized by k) [75]. Other variants for which reconfiguration has been studied include LIST EDGE-COLORING [36,40,100], LIST(2,1)-LABELING [37], CIRCULAR COLORING [101,102], ACYCLIC COLORING [103], and EQUITABLE COLORING [103]. The problem of k-COLORING RECONFIGURATION can also be seen as a special case of HOMOMORPHISM RECONFIGURATION [101,104] and CONSTRAINT SATISFACTION RECONFIGURATION (Section 8).…”
Section: Variants Of Coloringmentioning
confidence: 99%
“…Thus, the reconfiguration problem for homomorphims to cliques admits the following dichotomy theorem. [9] generalised both the polynomial and PSPACEcomplete sides of Theorem 1.1 to circular (p, q)-cliques (see [9] for a definition): the problem is polynomial if p/q < 4 and PSPACE-complete otherwise. Intriguingly, the class of graphs for which H-Recolouring is known to be solvable in polynomial time coincides exactly with the class of graphs which are known to be multiplicative.…”
Section: Introductionmentioning
confidence: 99%
“…An important first step in each of the polynomial-time algorithms for H-Recolouring in [9,13,30] is to determine the set of vertices v of G such that ϕ ′ (v) = ϕ(v) for every homomorphism ϕ ′ which reconfigures to ϕ; i.e. to determine the set of vertices which cannot change their colour under any reconfiguration sequence starting with ϕ.…”
Section: Introductionmentioning
confidence: 99%