Pulling a graph across a partition












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I am looking for the name for a particular graph property, if it has been studied, and efficient algorithms for computing it, if they exist. I realise that this may be a well known property that I am just ignorant of, in which case I apologise, and would be grateful to be set right.



The property is as follows:



Take a graph $G=(V,E)$ on $n$ vertices, where $V$ is the vertex set and $E$ is the edge set. Let me define two families of subsets of vertices, $A_i$ and $B_i$, with the relationship that $B = V setminus A$. I require that $A_0 = V$ and $A_n$ is the empty set. Each intermediate $A_i$ is obtained from $A_{I-1}$ by removing one vertex (according to some strategy). The property I care about is $max_i |{(a,b): ain A_i, bin B_i,(a,b) in E}|$, minimised over all strategies for choosing $A_1 ldots A_{n-1}$ according to the rules above.



$A_i$ and $B_i$ can be thought of as the $i$th step in a process of moving vertices of the graph from one side of a partition (the $A$ side) to the other (the $B$ side). Thus the property I am concerned with has an operational interpretation as the maximum number of edges that need to cross the partition at any one point in time as we move the graph from one side to another, minimised over all strategies for moving vertices across the partition.



Aside from computing the value of this property, an algorithm for determining the optimal strategy would also be helpful.










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    1












    $begingroup$


    I am looking for the name for a particular graph property, if it has been studied, and efficient algorithms for computing it, if they exist. I realise that this may be a well known property that I am just ignorant of, in which case I apologise, and would be grateful to be set right.



    The property is as follows:



    Take a graph $G=(V,E)$ on $n$ vertices, where $V$ is the vertex set and $E$ is the edge set. Let me define two families of subsets of vertices, $A_i$ and $B_i$, with the relationship that $B = V setminus A$. I require that $A_0 = V$ and $A_n$ is the empty set. Each intermediate $A_i$ is obtained from $A_{I-1}$ by removing one vertex (according to some strategy). The property I care about is $max_i |{(a,b): ain A_i, bin B_i,(a,b) in E}|$, minimised over all strategies for choosing $A_1 ldots A_{n-1}$ according to the rules above.



    $A_i$ and $B_i$ can be thought of as the $i$th step in a process of moving vertices of the graph from one side of a partition (the $A$ side) to the other (the $B$ side). Thus the property I am concerned with has an operational interpretation as the maximum number of edges that need to cross the partition at any one point in time as we move the graph from one side to another, minimised over all strategies for moving vertices across the partition.



    Aside from computing the value of this property, an algorithm for determining the optimal strategy would also be helpful.










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      I am looking for the name for a particular graph property, if it has been studied, and efficient algorithms for computing it, if they exist. I realise that this may be a well known property that I am just ignorant of, in which case I apologise, and would be grateful to be set right.



      The property is as follows:



      Take a graph $G=(V,E)$ on $n$ vertices, where $V$ is the vertex set and $E$ is the edge set. Let me define two families of subsets of vertices, $A_i$ and $B_i$, with the relationship that $B = V setminus A$. I require that $A_0 = V$ and $A_n$ is the empty set. Each intermediate $A_i$ is obtained from $A_{I-1}$ by removing one vertex (according to some strategy). The property I care about is $max_i |{(a,b): ain A_i, bin B_i,(a,b) in E}|$, minimised over all strategies for choosing $A_1 ldots A_{n-1}$ according to the rules above.



      $A_i$ and $B_i$ can be thought of as the $i$th step in a process of moving vertices of the graph from one side of a partition (the $A$ side) to the other (the $B$ side). Thus the property I am concerned with has an operational interpretation as the maximum number of edges that need to cross the partition at any one point in time as we move the graph from one side to another, minimised over all strategies for moving vertices across the partition.



      Aside from computing the value of this property, an algorithm for determining the optimal strategy would also be helpful.










      share|cite|improve this question









      $endgroup$




      I am looking for the name for a particular graph property, if it has been studied, and efficient algorithms for computing it, if they exist. I realise that this may be a well known property that I am just ignorant of, in which case I apologise, and would be grateful to be set right.



      The property is as follows:



      Take a graph $G=(V,E)$ on $n$ vertices, where $V$ is the vertex set and $E$ is the edge set. Let me define two families of subsets of vertices, $A_i$ and $B_i$, with the relationship that $B = V setminus A$. I require that $A_0 = V$ and $A_n$ is the empty set. Each intermediate $A_i$ is obtained from $A_{I-1}$ by removing one vertex (according to some strategy). The property I care about is $max_i |{(a,b): ain A_i, bin B_i,(a,b) in E}|$, minimised over all strategies for choosing $A_1 ldots A_{n-1}$ according to the rules above.



      $A_i$ and $B_i$ can be thought of as the $i$th step in a process of moving vertices of the graph from one side of a partition (the $A$ side) to the other (the $B$ side). Thus the property I am concerned with has an operational interpretation as the maximum number of edges that need to cross the partition at any one point in time as we move the graph from one side to another, minimised over all strategies for moving vertices across the partition.



      Aside from computing the value of this property, an algorithm for determining the optimal strategy would also be helpful.







      graph-theory graph-algorithms co.combinatorics






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      asked Dec 2 '18 at 1:51









      Joe FitzsimonsJoe Fitzsimons

      11.5k3685




      11.5k3685






















          1 Answer
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          $begingroup$

          What you are looking for is known as Cutwidth. The problem is NP complete and quite well studied. For example it has a $O((log n)^{3/2})$- approximation algorithm and is fixed parameter tractable when parameterized by the objective function value.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
            $endgroup$
            – Joe Fitzsimons
            Dec 2 '18 at 6:15






          • 1




            $begingroup$
            A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
            $endgroup$
            – daniello
            Dec 2 '18 at 6:30











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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

          votes









          6












          $begingroup$

          What you are looking for is known as Cutwidth. The problem is NP complete and quite well studied. For example it has a $O((log n)^{3/2})$- approximation algorithm and is fixed parameter tractable when parameterized by the objective function value.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
            $endgroup$
            – Joe Fitzsimons
            Dec 2 '18 at 6:15






          • 1




            $begingroup$
            A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
            $endgroup$
            – daniello
            Dec 2 '18 at 6:30
















          6












          $begingroup$

          What you are looking for is known as Cutwidth. The problem is NP complete and quite well studied. For example it has a $O((log n)^{3/2})$- approximation algorithm and is fixed parameter tractable when parameterized by the objective function value.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
            $endgroup$
            – Joe Fitzsimons
            Dec 2 '18 at 6:15






          • 1




            $begingroup$
            A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
            $endgroup$
            – daniello
            Dec 2 '18 at 6:30














          6












          6








          6





          $begingroup$

          What you are looking for is known as Cutwidth. The problem is NP complete and quite well studied. For example it has a $O((log n)^{3/2})$- approximation algorithm and is fixed parameter tractable when parameterized by the objective function value.






          share|cite|improve this answer









          $endgroup$



          What you are looking for is known as Cutwidth. The problem is NP complete and quite well studied. For example it has a $O((log n)^{3/2})$- approximation algorithm and is fixed parameter tractable when parameterized by the objective function value.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 2 '18 at 4:39









          daniellodaniello

          2,6561124




          2,6561124












          • $begingroup$
            Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
            $endgroup$
            – Joe Fitzsimons
            Dec 2 '18 at 6:15






          • 1




            $begingroup$
            A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
            $endgroup$
            – daniello
            Dec 2 '18 at 6:30


















          • $begingroup$
            Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
            $endgroup$
            – Joe Fitzsimons
            Dec 2 '18 at 6:15






          • 1




            $begingroup$
            A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
            $endgroup$
            – daniello
            Dec 2 '18 at 6:30
















          $begingroup$
          Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
          $endgroup$
          – Joe Fitzsimons
          Dec 2 '18 at 6:15




          $begingroup$
          Thanks. That helps a lot. Do you have a reference for the approximation algorithm?
          $endgroup$
          – Joe Fitzsimons
          Dec 2 '18 at 6:15




          1




          1




          $begingroup$
          A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
          $endgroup$
          – daniello
          Dec 2 '18 at 6:30




          $begingroup$
          A paper to cite does not come to mind but it is just applying the $sqrt{log n}$ approximation for balanced cut (Arora, Rao, Vazirani) in a divide and conquer manner (find balanced cut, solve the two sides recursively, put solution to left side before the solution to the right side). Better algorithms might be known, I am not sure.
          $endgroup$
          – daniello
          Dec 2 '18 at 6:30


















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