<p><?tk 4?>In the <span>Near-Bipartiteness</span> problem, we are given a simple graph <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(G=(V, E)\)</EquationSource> </InlineEquation> and asked whether <i>V</i>(<i>G</i>) can be partitioned into two sets <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\({\mathcal {S}}\)</EquationSource> </InlineEquation> and <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\({\mathcal {F}}\)</EquationSource> </InlineEquation> such that <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\({\mathcal {S}}\)</EquationSource> </InlineEquation> is a stable set and <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\({\mathcal {F}}\)</EquationSource> </InlineEquation> induces a forest. Alternatively, <span>Near-Bipartiteness</span> can be seen as the problem of determining whether <i>G</i> admits an independent feedback vertex set <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\({\mathcal {S}}\)</EquationSource> </InlineEquation> or an acyclic vertex cover <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\({\mathcal {F}}\)</EquationSource> </InlineEquation>. Since such a problem is <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\({\textsf {NP}}\)</EquationSource> </InlineEquation>-complete even for graphs with diameter three, we study the property of being near-bipartite on graphs having a bounded dominating set. In particular, we consider the case where the input graphs have dominating edges, since it is a natural subclass of diameter-three graphs. Concerning graphs having a dominating edge, we prove that <span>Connected Near-Bipartiteness</span>, the variant where the forest <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\({\mathcal {F}}\)</EquationSource> </InlineEquation> must be connected, is <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\({\textsf {NP}}\)</EquationSource> </InlineEquation>-complete. In addition, we show that <span>Independent Feedback Vertex Set</span>, the problem of finding a near-bipartition (<InlineEquation ID="IEq11"> <EquationSource Format="TEX">\({\mathcal {S}},{\mathcal {F}}\)</EquationSource> </InlineEquation>) minimizing <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\(|{\mathcal {S}}|\)</EquationSource> </InlineEquation>, and <span>Acyclic Vertex Cover</span>, the problem of finding a near-bipartition (<InlineEquation ID="IEq13"> <EquationSource Format="TEX">\({\mathcal {S}},{\mathcal {F}}\)</EquationSource> </InlineEquation>) minimizing <InlineEquation ID="IEq14"> <EquationSource Format="TEX">\(|{\mathcal {F}}|\)</EquationSource> </InlineEquation>, are both <InlineEquation ID="IEq15"> <EquationSource Format="TEX">\({\textsf {NP}}\)</EquationSource> </InlineEquation>-hard when restricted to such a class of graphs. On the other hand, we show that given a graph <i>G</i> and a dominating set <i>D</i> of <i>G</i> with size <i>k</i>, one can determine whether <i>G</i> is near-bipartite in <InlineEquation ID="IEq16"> <EquationSource Format="TEX">\({\mathcal {O}}(2^k\cdot n^{2k})\)</EquationSource> </InlineEquation> time, which implies that <span>Near-Bipartiteness</span> can be solved in polynomial time whenever the input graph <i>G</i> has a dominating set with size bounded by a constant. As a byproduct of our algorithm, we can solve <span>Near-Bipartiteness</span> on <InlineEquation ID="IEq17"> <EquationSource Format="TEX">\(P_5\)</EquationSource> </InlineEquation>-free graphs in <InlineEquation ID="IEq18"> <EquationSource Format="TEX">\({\mathcal {O}}(n^2\cdot m)\)</EquationSource> </InlineEquation>-time, improving the current <InlineEquation ID="IEq19"> <EquationSource Format="TEX">\({\mathcal {O}}(n^{16})\)</EquationSource> </InlineEquation>-time state of the art due to Bonamy et al. (Algorithmica 81:1342–1369, 2019).</p>

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Near-bipartiteness on graphs having small dominating sets

  • Maria Luiza L. da Cruz,
  • Raquel Bravo,
  • Rodolfo A. Oliveira,
  • Ueverton S. Souza

摘要

In the Near-Bipartiteness problem, we are given a simple graph \(G=(V, E)\) and asked whether V(G) can be partitioned into two sets \({\mathcal {S}}\) and \({\mathcal {F}}\) such that \({\mathcal {S}}\) is a stable set and \({\mathcal {F}}\) induces a forest. Alternatively, Near-Bipartiteness can be seen as the problem of determining whether G admits an independent feedback vertex set \({\mathcal {S}}\) or an acyclic vertex cover \({\mathcal {F}}\) . Since such a problem is \({\textsf {NP}}\) -complete even for graphs with diameter three, we study the property of being near-bipartite on graphs having a bounded dominating set. In particular, we consider the case where the input graphs have dominating edges, since it is a natural subclass of diameter-three graphs. Concerning graphs having a dominating edge, we prove that Connected Near-Bipartiteness, the variant where the forest \({\mathcal {F}}\) must be connected, is \({\textsf {NP}}\) -complete. In addition, we show that Independent Feedback Vertex Set, the problem of finding a near-bipartition ( \({\mathcal {S}},{\mathcal {F}}\) ) minimizing \(|{\mathcal {S}}|\) , and Acyclic Vertex Cover, the problem of finding a near-bipartition ( \({\mathcal {S}},{\mathcal {F}}\) ) minimizing \(|{\mathcal {F}}|\) , are both \({\textsf {NP}}\) -hard when restricted to such a class of graphs. On the other hand, we show that given a graph G and a dominating set D of G with size k, one can determine whether G is near-bipartite in \({\mathcal {O}}(2^k\cdot n^{2k})\) time, which implies that Near-Bipartiteness can be solved in polynomial time whenever the input graph G has a dominating set with size bounded by a constant. As a byproduct of our algorithm, we can solve Near-Bipartiteness on \(P_5\) -free graphs in \({\mathcal {O}}(n^2\cdot m)\) -time, improving the current \({\mathcal {O}}(n^{16})\) -time state of the art due to Bonamy et al. (Algorithmica 81:1342–1369, 2019).