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On the Hardness of Approximating Minimum Monopoly Problems

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FST TCS 2002: Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2002)

Abstract

We consider inapproximability for two graph optimisation problems called monopoly and partial monopoly. We prove that these problems cannot be approximated within a factor of (\( \frac{1} {3} \) — ∈) ln n and (\( \frac{1} {2} \) — ∈) ln n, unless NPDtime(n O(log log n)), respectively. We also show that, if Δ is the maximum degree in a graph G, then both problems cannot be approximated within a factor of lnΔO(ln lnΔ), unless P = NP, though both these problems can be approximated within a factor of ln(Δ) + O(1). Finally, for cubic graphs, we give a 1.6154 approximation algorithm for the monopoly problem and a \( \frac{5} {3} \) approximation algorithm for partial monopoly problem, and show that they are APX-complete.

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Mishra, S., Radhakrishnan, J., Sivasubramanian, S. (2002). On the Hardness of Approximating Minimum Monopoly Problems. In: Agrawal, M., Seth, A. (eds) FST TCS 2002: Foundations of Software Technology and Theoretical Computer Science. FSTTCS 2002. Lecture Notes in Computer Science, vol 2556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36206-1_25

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  • DOI: https://doi.org/10.1007/3-540-36206-1_25

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  • Print ISBN: 978-3-540-00225-3

  • Online ISBN: 978-3-540-36206-7

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