On integrality ratios for asymmetric TSP in the sherali-adams hierarchy

  • Authors:
  • Joseph Cheriyan;Zhihan Gao;Konstantinos Georgiou;Sahil Singla

  • Affiliations:
  • University of Waterloo, Waterloo, Ontario, Canada;University of Waterloo, Waterloo, Ontario, Canada;University of Waterloo, Waterloo, Ontario, Canada;University of Waterloo, Waterloo, Ontario, Canada

  • Venue:
  • ICALP'13 Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part I
  • Year:
  • 2013

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Abstract

We study the ATSP (Asymmetric Traveling Salesman Problem), and our focus is on negative results in the framework of the Sherali-Adams (SA) Lift and Project method. Our main result pertains to the standard LP (linear programming) relaxation of ATSP, due to Dantzig, Fulkerson, and Johnson. For any fixed integer t≥0 and small ε, 0ε≪1, there exists a digraph G on ν=ν(t,ε)=O(t/ε) vertices such that the integrality ratio for level t of the SA system starting with the standard LP on G is ≥ 1+ 1-&epsilon/2t+3 ≈ 4/3, 6/5, 8/7, …. Thus, in terms of the input size, the result holds for any t=0,1,…,Θ(ν) levels. Our key contribution is to identify a structural property of digraphs that allows us to construct fractional feasible solutions for any level t of the SA system starting from the standard LP. Our hard instances are simple and satisfy the structural property. There is a further relaxation of the standard LP called the balanced LP, and our methods simplify considerably when the starting LP for the SA system is the balanced LP; in particular, the relevant structural property (of digraphs) simplifies such that it is satisfied by the digraphs given by the well-known construction of Charikar, Goemans and Karloff (CGK). Consequently, the CGK digraphs serve as hard instances, and we obtain an integrality ratio of $1 +\frac{1-\epsilon}{t+1}$ for any level t of the SA system, where 0ε≪1 and the number of vertices is ν(t,ε)=O((t/ε)(t/ε)). Also, our results for the standard LP extend to the path ATSP (find a min cost Hamiltonian dipath from a given source vertex to a given sink vertex).