Is it possible to decompose $K_{12,12}$ into four edge-disjoint copies of $3(K_{4,4}-I)$?
$begingroup$
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 $3(K_{4,4}-I)$:
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
$endgroup$
add a comment |
$begingroup$
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 $3(K_{4,4}-I)$:
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
$endgroup$
add a comment |
$begingroup$
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 $3(K_{4,4}-I)$:
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
$endgroup$
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 $3(K_{4,4}-I)$:
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
graph-theory
edited Apr 13 '17 at 12:20
Community♦
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asked Jan 15 '17 at 8:18
Rebecca J. StonesRebecca J. Stones
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$begingroup$
Here is one such decomposition, found by simulated annealing:
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];
$endgroup$
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$begingroup$
Here is one such decomposition, found by simulated annealing:
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];
$endgroup$
add a comment |
$begingroup$
Here is one such decomposition, found by simulated annealing:
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];
$endgroup$
add a comment |
$begingroup$
Here is one such decomposition, found by simulated annealing:
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];
$endgroup$
Here is one such decomposition, found by simulated annealing:
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];
edited Dec 14 '18 at 18:44
answered Dec 14 '18 at 16:35
Misha LavrovMisha Lavrov
47.1k657107
47.1k657107
add a comment |
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