Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$?












7












$begingroup$


Question: Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$, where $I$ denotes a $1$-factor?



Here's a drawing of $3(K_{4,4}-I)$:



drawing of the graph



The same motivation for my question Are there $3$ disjoint copies of $2K_{3,3} cup (K_{5,5} setminus C_{10})$ in $K_{11,11}$? but just another special case.




  • The number of edges in $3(K_{4,4}-I)$ is $36$ and the number of edges in $K_{12,12}$ is $144 = 4 times 36$.


  • The graph $3(K_{4,4}-I)$ is $3$-regular, and $K_{12,12}$ is $(4 times 3)$-regular.



I previously asked Does $K_{12,12}$ decompose into $K_{4,4}-I$ subgraphs? which shows that $K_{12,12}$ decomposes into $12$ edge-disjoint copies of $K_{4,4}-I$, which is a necessary condition for the decomposition in this question.










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    7












    $begingroup$


    Question: Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$, where $I$ denotes a $1$-factor?



    Here's a drawing of $3(K_{4,4}-I)$:



    drawing of the graph



    The same motivation for my question Are there $3$ disjoint copies of $2K_{3,3} cup (K_{5,5} setminus C_{10})$ in $K_{11,11}$? but just another special case.




    • The number of edges in $3(K_{4,4}-I)$ is $36$ and the number of edges in $K_{12,12}$ is $144 = 4 times 36$.


    • The graph $3(K_{4,4}-I)$ is $3$-regular, and $K_{12,12}$ is $(4 times 3)$-regular.



    I previously asked Does $K_{12,12}$ decompose into $K_{4,4}-I$ subgraphs? which shows that $K_{12,12}$ decomposes into $12$ edge-disjoint copies of $K_{4,4}-I$, which is a necessary condition for the decomposition in this question.










    share|cite|improve this question











    $endgroup$















      7












      7








      7


      1



      $begingroup$


      Question: Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$, where $I$ denotes a $1$-factor?



      Here's a drawing of $3(K_{4,4}-I)$:



      drawing of the graph



      The same motivation for my question Are there $3$ disjoint copies of $2K_{3,3} cup (K_{5,5} setminus C_{10})$ in $K_{11,11}$? but just another special case.




      • The number of edges in $3(K_{4,4}-I)$ is $36$ and the number of edges in $K_{12,12}$ is $144 = 4 times 36$.


      • The graph $3(K_{4,4}-I)$ is $3$-regular, and $K_{12,12}$ is $(4 times 3)$-regular.



      I previously asked Does $K_{12,12}$ decompose into $K_{4,4}-I$ subgraphs? which shows that $K_{12,12}$ decomposes into $12$ edge-disjoint copies of $K_{4,4}-I$, which is a necessary condition for the decomposition in this question.










      share|cite|improve this question











      $endgroup$




      Question: Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$, where $I$ denotes a $1$-factor?



      Here's a drawing of $3(K_{4,4}-I)$:



      drawing of the graph



      The same motivation for my question Are there $3$ disjoint copies of $2K_{3,3} cup (K_{5,5} setminus C_{10})$ in $K_{11,11}$? but just another special case.




      • The number of edges in $3(K_{4,4}-I)$ is $36$ and the number of edges in $K_{12,12}$ is $144 = 4 times 36$.


      • The graph $3(K_{4,4}-I)$ is $3$-regular, and $K_{12,12}$ is $(4 times 3)$-regular.



      I previously asked Does $K_{12,12}$ decompose into $K_{4,4}-I$ subgraphs? which shows that $K_{12,12}$ decomposes into $12$ edge-disjoint copies of $K_{4,4}-I$, which is a necessary condition for the decomposition in this question.







      graph-theory






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      share|cite|improve this question













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      edited Apr 13 '17 at 12:20









      Community

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      asked Jan 15 '17 at 8:18









      Rebecca J. StonesRebecca J. Stones

      21k22781




      21k22781






















          1 Answer
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          4












          $begingroup$

          Here is one such decomposition, found by simulated annealing:



          enter image description here



          enter image description here



          enter image description here



          enter image description here





          Here are the details of the graphs used:




          • The second graph matches vertices $4,9,10,11$ to $8,5,6,4$, vertices $3,5,6,7$ to $12,3,10,9$, and vertices $1,2,8,12$ to $2,1,7,11$.

          • The third graph matches vertices $5,7,8,9$ to $9,3,1,4$, vertices $1,2,3,12$ to $12,8,5,6$, and vertices $4,6,10,11$ to $2,7,11,10$.

          • The fourth graph matches vertices $1,2,4,8$ to $8,12,10,9$, vertices $3,5,6,9$ to $2,7,5,11$, and vertices $6,10,11,12$ to $3,4,6,1$.




          The actual answer may not be as interesting nearly two years later, but here is my Mathematica code for the simulated annealing, which can be more broadly useful.



          (Here, each $3K_{4,4}-I$ is represented by a pair of permutations, one of the top and one of the bottom vertices. Each step we take is randomly switching two of the numbers in one of the 8 permutations we have. The energy value of a state is the number of edges of $K_{12,12}$ not covered, which we eventually bring down to $0$.)



          edges[{perm1_, perm2_}] :=
          Join[
          Tuples[{perm1[[1 ;; 4]], perm2[[1 ;; 4]]}],
          Tuples[{perm1[[5 ;; 8]], perm2[[5 ;; 8]]}],
          Tuples[{perm1[[9 ;; 12]], perm2[[9 ;; 12]]}]]~Complement~
          Table[{perm1[[i]], perm2[[i]]}, {i, 1, 12}];

          value[state_] := 12^2 - Length[Union @@ (edges /@ state)];
          randomPerm := {RandomSample[Range[12]], RandomSample[Range[12]]}
          randomSwitch[state_] :=
          Module[{h = RandomInteger[{1, 4}], i = RandomInteger[{1, 2}], j, k,
          copy = state},
          {j, k} = RandomSample[Range[12], 2];
          copy[[h, i, {j, k}]] = Reverse[copy[[h, i, {j, k}]]];
          Return[copy];
          ]

          currentState =
          bestState = {randomPerm, randomPerm, randomPerm, randomPerm};
          currentEnergy = bestEnergy = value[currentState];
          temp = 1;
          While[Exp[-1/temp] > 1/1000,
          Do[
          nextState = randomSwitch[currentState];
          nextEnergy = value[nextState];
          If[nextEnergy < bestEnergy, bestState = nextState;
          bestEnergy = nextEnergy];
          prob = Exp[-((nextEnergy - currentEnergy)/temp)];
          If[RandomReal < prob, currentState = nextState;
          currentEnergy = nextEnergy];
          , {2000}];
          If[bestEnergy == 0, Break];
          temp *= 0.99; Print[{temp, currentEnergy}]
          ]
          Print["Done ", bestEnergy];





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            4












            $begingroup$

            Here is one such decomposition, found by simulated annealing:



            enter image description here



            enter image description here



            enter image description here



            enter image description here





            Here are the details of the graphs used:




            • The second graph matches vertices $4,9,10,11$ to $8,5,6,4$, vertices $3,5,6,7$ to $12,3,10,9$, and vertices $1,2,8,12$ to $2,1,7,11$.

            • The third graph matches vertices $5,7,8,9$ to $9,3,1,4$, vertices $1,2,3,12$ to $12,8,5,6$, and vertices $4,6,10,11$ to $2,7,11,10$.

            • The fourth graph matches vertices $1,2,4,8$ to $8,12,10,9$, vertices $3,5,6,9$ to $2,7,5,11$, and vertices $6,10,11,12$ to $3,4,6,1$.




            The actual answer may not be as interesting nearly two years later, but here is my Mathematica code for the simulated annealing, which can be more broadly useful.



            (Here, each $3K_{4,4}-I$ is represented by a pair of permutations, one of the top and one of the bottom vertices. Each step we take is randomly switching two of the numbers in one of the 8 permutations we have. The energy value of a state is the number of edges of $K_{12,12}$ not covered, which we eventually bring down to $0$.)



            edges[{perm1_, perm2_}] :=
            Join[
            Tuples[{perm1[[1 ;; 4]], perm2[[1 ;; 4]]}],
            Tuples[{perm1[[5 ;; 8]], perm2[[5 ;; 8]]}],
            Tuples[{perm1[[9 ;; 12]], perm2[[9 ;; 12]]}]]~Complement~
            Table[{perm1[[i]], perm2[[i]]}, {i, 1, 12}];

            value[state_] := 12^2 - Length[Union @@ (edges /@ state)];
            randomPerm := {RandomSample[Range[12]], RandomSample[Range[12]]}
            randomSwitch[state_] :=
            Module[{h = RandomInteger[{1, 4}], i = RandomInteger[{1, 2}], j, k,
            copy = state},
            {j, k} = RandomSample[Range[12], 2];
            copy[[h, i, {j, k}]] = Reverse[copy[[h, i, {j, k}]]];
            Return[copy];
            ]

            currentState =
            bestState = {randomPerm, randomPerm, randomPerm, randomPerm};
            currentEnergy = bestEnergy = value[currentState];
            temp = 1;
            While[Exp[-1/temp] > 1/1000,
            Do[
            nextState = randomSwitch[currentState];
            nextEnergy = value[nextState];
            If[nextEnergy < bestEnergy, bestState = nextState;
            bestEnergy = nextEnergy];
            prob = Exp[-((nextEnergy - currentEnergy)/temp)];
            If[RandomReal < prob, currentState = nextState;
            currentEnergy = nextEnergy];
            , {2000}];
            If[bestEnergy == 0, Break];
            temp *= 0.99; Print[{temp, currentEnergy}]
            ]
            Print["Done ", bestEnergy];





            share|cite|improve this answer











            $endgroup$


















              4












              $begingroup$

              Here is one such decomposition, found by simulated annealing:



              enter image description here



              enter image description here



              enter image description here



              enter image description here





              Here are the details of the graphs used:




              • The second graph matches vertices $4,9,10,11$ to $8,5,6,4$, vertices $3,5,6,7$ to $12,3,10,9$, and vertices $1,2,8,12$ to $2,1,7,11$.

              • The third graph matches vertices $5,7,8,9$ to $9,3,1,4$, vertices $1,2,3,12$ to $12,8,5,6$, and vertices $4,6,10,11$ to $2,7,11,10$.

              • The fourth graph matches vertices $1,2,4,8$ to $8,12,10,9$, vertices $3,5,6,9$ to $2,7,5,11$, and vertices $6,10,11,12$ to $3,4,6,1$.




              The actual answer may not be as interesting nearly two years later, but here is my Mathematica code for the simulated annealing, which can be more broadly useful.



              (Here, each $3K_{4,4}-I$ is represented by a pair of permutations, one of the top and one of the bottom vertices. Each step we take is randomly switching two of the numbers in one of the 8 permutations we have. The energy value of a state is the number of edges of $K_{12,12}$ not covered, which we eventually bring down to $0$.)



              edges[{perm1_, perm2_}] :=
              Join[
              Tuples[{perm1[[1 ;; 4]], perm2[[1 ;; 4]]}],
              Tuples[{perm1[[5 ;; 8]], perm2[[5 ;; 8]]}],
              Tuples[{perm1[[9 ;; 12]], perm2[[9 ;; 12]]}]]~Complement~
              Table[{perm1[[i]], perm2[[i]]}, {i, 1, 12}];

              value[state_] := 12^2 - Length[Union @@ (edges /@ state)];
              randomPerm := {RandomSample[Range[12]], RandomSample[Range[12]]}
              randomSwitch[state_] :=
              Module[{h = RandomInteger[{1, 4}], i = RandomInteger[{1, 2}], j, k,
              copy = state},
              {j, k} = RandomSample[Range[12], 2];
              copy[[h, i, {j, k}]] = Reverse[copy[[h, i, {j, k}]]];
              Return[copy];
              ]

              currentState =
              bestState = {randomPerm, randomPerm, randomPerm, randomPerm};
              currentEnergy = bestEnergy = value[currentState];
              temp = 1;
              While[Exp[-1/temp] > 1/1000,
              Do[
              nextState = randomSwitch[currentState];
              nextEnergy = value[nextState];
              If[nextEnergy < bestEnergy, bestState = nextState;
              bestEnergy = nextEnergy];
              prob = Exp[-((nextEnergy - currentEnergy)/temp)];
              If[RandomReal < prob, currentState = nextState;
              currentEnergy = nextEnergy];
              , {2000}];
              If[bestEnergy == 0, Break];
              temp *= 0.99; Print[{temp, currentEnergy}]
              ]
              Print["Done ", bestEnergy];





              share|cite|improve this answer











              $endgroup$
















                4












                4








                4





                $begingroup$

                Here is one such decomposition, found by simulated annealing:



                enter image description here



                enter image description here



                enter image description here



                enter image description here





                Here are the details of the graphs used:




                • The second graph matches vertices $4,9,10,11$ to $8,5,6,4$, vertices $3,5,6,7$ to $12,3,10,9$, and vertices $1,2,8,12$ to $2,1,7,11$.

                • The third graph matches vertices $5,7,8,9$ to $9,3,1,4$, vertices $1,2,3,12$ to $12,8,5,6$, and vertices $4,6,10,11$ to $2,7,11,10$.

                • The fourth graph matches vertices $1,2,4,8$ to $8,12,10,9$, vertices $3,5,6,9$ to $2,7,5,11$, and vertices $6,10,11,12$ to $3,4,6,1$.




                The actual answer may not be as interesting nearly two years later, but here is my Mathematica code for the simulated annealing, which can be more broadly useful.



                (Here, each $3K_{4,4}-I$ is represented by a pair of permutations, one of the top and one of the bottom vertices. Each step we take is randomly switching two of the numbers in one of the 8 permutations we have. The energy value of a state is the number of edges of $K_{12,12}$ not covered, which we eventually bring down to $0$.)



                edges[{perm1_, perm2_}] :=
                Join[
                Tuples[{perm1[[1 ;; 4]], perm2[[1 ;; 4]]}],
                Tuples[{perm1[[5 ;; 8]], perm2[[5 ;; 8]]}],
                Tuples[{perm1[[9 ;; 12]], perm2[[9 ;; 12]]}]]~Complement~
                Table[{perm1[[i]], perm2[[i]]}, {i, 1, 12}];

                value[state_] := 12^2 - Length[Union @@ (edges /@ state)];
                randomPerm := {RandomSample[Range[12]], RandomSample[Range[12]]}
                randomSwitch[state_] :=
                Module[{h = RandomInteger[{1, 4}], i = RandomInteger[{1, 2}], j, k,
                copy = state},
                {j, k} = RandomSample[Range[12], 2];
                copy[[h, i, {j, k}]] = Reverse[copy[[h, i, {j, k}]]];
                Return[copy];
                ]

                currentState =
                bestState = {randomPerm, randomPerm, randomPerm, randomPerm};
                currentEnergy = bestEnergy = value[currentState];
                temp = 1;
                While[Exp[-1/temp] > 1/1000,
                Do[
                nextState = randomSwitch[currentState];
                nextEnergy = value[nextState];
                If[nextEnergy < bestEnergy, bestState = nextState;
                bestEnergy = nextEnergy];
                prob = Exp[-((nextEnergy - currentEnergy)/temp)];
                If[RandomReal < prob, currentState = nextState;
                currentEnergy = nextEnergy];
                , {2000}];
                If[bestEnergy == 0, Break];
                temp *= 0.99; Print[{temp, currentEnergy}]
                ]
                Print["Done ", bestEnergy];





                share|cite|improve this answer











                $endgroup$



                Here is one such decomposition, found by simulated annealing:



                enter image description here



                enter image description here



                enter image description here



                enter image description here





                Here are the details of the graphs used:




                • The second graph matches vertices $4,9,10,11$ to $8,5,6,4$, vertices $3,5,6,7$ to $12,3,10,9$, and vertices $1,2,8,12$ to $2,1,7,11$.

                • The third graph matches vertices $5,7,8,9$ to $9,3,1,4$, vertices $1,2,3,12$ to $12,8,5,6$, and vertices $4,6,10,11$ to $2,7,11,10$.

                • The fourth graph matches vertices $1,2,4,8$ to $8,12,10,9$, vertices $3,5,6,9$ to $2,7,5,11$, and vertices $6,10,11,12$ to $3,4,6,1$.




                The actual answer may not be as interesting nearly two years later, but here is my Mathematica code for the simulated annealing, which can be more broadly useful.



                (Here, each $3K_{4,4}-I$ is represented by a pair of permutations, one of the top and one of the bottom vertices. Each step we take is randomly switching two of the numbers in one of the 8 permutations we have. The energy value of a state is the number of edges of $K_{12,12}$ not covered, which we eventually bring down to $0$.)



                edges[{perm1_, perm2_}] :=
                Join[
                Tuples[{perm1[[1 ;; 4]], perm2[[1 ;; 4]]}],
                Tuples[{perm1[[5 ;; 8]], perm2[[5 ;; 8]]}],
                Tuples[{perm1[[9 ;; 12]], perm2[[9 ;; 12]]}]]~Complement~
                Table[{perm1[[i]], perm2[[i]]}, {i, 1, 12}];

                value[state_] := 12^2 - Length[Union @@ (edges /@ state)];
                randomPerm := {RandomSample[Range[12]], RandomSample[Range[12]]}
                randomSwitch[state_] :=
                Module[{h = RandomInteger[{1, 4}], i = RandomInteger[{1, 2}], j, k,
                copy = state},
                {j, k} = RandomSample[Range[12], 2];
                copy[[h, i, {j, k}]] = Reverse[copy[[h, i, {j, k}]]];
                Return[copy];
                ]

                currentState =
                bestState = {randomPerm, randomPerm, randomPerm, randomPerm};
                currentEnergy = bestEnergy = value[currentState];
                temp = 1;
                While[Exp[-1/temp] > 1/1000,
                Do[
                nextState = randomSwitch[currentState];
                nextEnergy = value[nextState];
                If[nextEnergy < bestEnergy, bestState = nextState;
                bestEnergy = nextEnergy];
                prob = Exp[-((nextEnergy - currentEnergy)/temp)];
                If[RandomReal < prob, currentState = nextState;
                currentEnergy = nextEnergy];
                , {2000}];
                If[bestEnergy == 0, Break];
                temp *= 0.99; Print[{temp, currentEnergy}]
                ]
                Print["Done ", bestEnergy];






                share|cite|improve this answer














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                edited Dec 14 '18 at 18:44

























                answered Dec 14 '18 at 16:35









                Misha LavrovMisha Lavrov

                47.1k657107




                47.1k657107






























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