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The Complexity of Bounded Length Graph Recoloring and CSP Reconfiguration

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Parameterized and Exact Computation (IPEC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8894))

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Abstract

In the first part of this work we study the following question: Given two \(k\)-colorings \(\alpha \) and \(\beta \) of a graph \(G\) on \(n\) vertices and an integer \(\ell \), can \(\alpha \) be modified into \(\beta \) by recoloring vertices one at a time, while maintaining a \(k\)-coloring throughout and using at most \(\ell \) such recoloring steps? This problem is weakly PSPACE-hard for every constant \(k \ge 4\). We show that the problem is also strongly NP-hard for every constant \(k \ge 4\) and W[1]-hard (but in XP) when parameterized only by \(\ell \). On the positive side, we show that the problem is fixed-parameter tractable when parameterized by \(k+\ell \). In fact, we show that the more general problem of \(\ell \)-length bounded reconfiguration of constraint satisfaction problems (CSPs) is fixed-parameter tractable parameterized by \(k+\ell +r\), where \(r\) is the maximum constraint arity and \(k\) is the maximum domain size. We show that for parameter \(\ell \), the latter problem is W[2]-hard, even for \(k=2\). Finally, if \(p\) denotes the number of variables with different values in the two given assignments, we show that the problem is W[2]-hard when parameterized by \(\ell -p\), even for \(k=2\) and \(r=3\).

Amer E. Mouawad, Naomi Nishimura— Research supported by the Natural Science and Engineering Research Council of Canada.

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Notes

  1. 1.

    A star indicates that (additional) proof details will be given in the full version of the paper.

  2. 2.

    Considering the function \(f\), it is perhaps a little confusing to call \(D\) the domain, but this conforms with the terminology used in the context of CSPs.

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Bonsma, P., Mouawad, A.E., Nishimura, N., Raman, V. (2014). The Complexity of Bounded Length Graph Recoloring and CSP Reconfiguration. In: Cygan, M., Heggernes, P. (eds) Parameterized and Exact Computation. IPEC 2014. Lecture Notes in Computer Science(), vol 8894. Springer, Cham. https://doi.org/10.1007/978-3-319-13524-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-13524-3_10

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