A Five-Color Map

The five color theorem is a result from graph theory that given a plane separated into regions, such as a political map of the countries of the world, the regions may be colored using no more than five colors in such a way that no two adjacent regions receive the same color.

The five color theorem is implied by the stronger four color theorem, but is considerably easier to prove. It was based on a failed attempt at the four color proof by Alfred Kempe in 1879. Percy John Heawood found an error 11 years later, and proved the five color theorem based on Kempe's work.

Outline of the proof by contradiction

First of all, one associates a simple planar graph ${\displaystyle G}$ to the given map, namely one puts a vertex in each region of the map, then connects two vertices with an edge if and only if the corresponding regions share a common border. The problem is then translated into a graph coloring problem: one has to paint the vertices of the graph so that no edge has endpoints of the same color.

Because ${\displaystyle G}$ is a simple planar, i.e. it may be embedded in the plane without intersecting edges, and it does not have two vertices sharing more than one edge, and it does not have loops, then it can be shown (using the Euler characteristic of the plane) that it must have a vertex shared by at most five edges. (Note: This is the only place where the five-color condition is used in the proof. If this technique is used to prove the four-color theorem, it will fail on this step. In fact, an icosahedral graph is 5-regular and planar, and thus does not have a vertex shared by at most four edges.) Find such a vertex, and call it ${\displaystyle v}$.

Now remove ${\displaystyle v}$ from ${\displaystyle G}$. The graph ${\displaystyle G'}$ obtained this way has one fewer vertex than ${\displaystyle G}$, so we can assume by induction that it can be colored with only five colors. If the coloring did not use all five colors on the five neighboring vertices of ${\displaystyle v}$, it can be colored in ${\displaystyle G}$ with a color not used by the neighbors. So now look at those five vertices ${\displaystyle v_{1}}$, ${\displaystyle v_{2}}$, ${\displaystyle v_{3}}$, ${\displaystyle v_{4}}$, ${\displaystyle v_{5}}$ that were adjacent to ${\displaystyle v}$ in cyclic order (which depends on how we write G). So we can assume that ${\displaystyle v_{1}}$, ${\displaystyle v_{2}}$, ${\displaystyle v_{3}}$, ${\displaystyle v_{4}}$, ${\displaystyle v_{5}}$ are colored with colors 1, 2, 3, 4, 5 respectively.

Now consider the subgraph ${\displaystyle G_{1,3}}$ of ${\displaystyle G'}$ consisting of the vertices that are colored with colors 1 and 3 only and the edges connecting them. To be clear, each edge connects a color 1 vertex to a color 3 vertex (this is called a Kempe chain). If ${\displaystyle v_{1}}$ and ${\displaystyle v_{3}}$ lie in different connected components of ${\displaystyle G_{1,3}}$, we can swap the 1 and 3 colors on the component containing ${\displaystyle v_{1}}$ without affecting the coloring of the rest of ${\displaystyle G'}$. This frees color 1 for ${\displaystyle v}$ completing the task. If on the contrary ${\displaystyle v_{1}}$ and ${\displaystyle v_{3}}$ lie in the same connected component of ${\displaystyle G_{1,3}}$, we can find a path in ${\displaystyle G_{1,3}}$ joining them that consists of only color 1 and 3 vertices.

Now turn to the subgraph ${\displaystyle G_{2,4}}$ of ${\displaystyle G'}$ consisting of the vertices that are colored with colors 2 and 4 only and the edges connecting them, and apply the same arguments as before. Then either we are able to reverse the 2-4 coloration on the subgraph of ${\displaystyle G_{2,4}}$ containing ${\displaystyle v_{2}}$ and paint ${\displaystyle v}$ color 2, or we can connect ${\displaystyle v_{2}}$ and ${\displaystyle v_{4}}$ with a path that consists of only color 2 and 4 vertices. Such a path would intersect the 1-3 colored path we constructed before since ${\displaystyle v_{1}}$ through ${\displaystyle v_{5}}$ were in cyclic order. This is clearly absurd as it contradicts the planarity of the graph.

So ${\displaystyle G}$ can in fact be five-colored, contrary to the initial presumption.

Linear time five-coloring algorithm

Multiple authors, beginning with Lipton and Miller in 1978, have studied efficient algorithms for five-coloring planar graphs. The algorithm of Lipton and Miller took time ${\displaystyle O(n\log n)}$,^[1] but subsequent researchers reduced the time bound to ${\displaystyle O(n)}$.^{[2][3][4][5][6]} The version below is from a 1996 paper by Robertson, Sanders, Seymour, and Thomas, which describes it briefly in connection with a slower ${\displaystyle O(n^{2})}$-time algorithm for four-coloring.^[7] The algorithm as described here operates on multigraphs and relies on the ability to have multiple copies of edges between a single pair of vertices. It is based on Wernicke's theorem, which states the following:

Wernicke's theorem: Assume G is planar, nonempty, has no faces bounded by two edges, and has minimum degree 5. Then G has a vertex of degree 5 which is adjacent to a vertex of degree at most 6.

We will use a representation of the graph in which each vertex maintains a circular linked list of adjacent vertices, in clockwise planar order.

In concept, the algorithm is recursive, reducing the graph to a smaller graph with one less vertex, five-coloring that graph, and then using that coloring to determine a coloring for the larger graph in constant time. In practice, rather than maintain an explicit graph representation for each reduced graph, we will remove vertices from the graph as we go, adding them to a stack, then color them as we pop them back off the stack at the end. We will maintain three stacks:

• S₄: Contains all remaining vertices with either degree at most four, or degree five and at most four distinct adjacent vertices (due to multiple edges).
• S₅: Contains all remaining vertices that have degree five, five distinct adjacent vertices, and at least one adjacent vertex with degree at most six.
• S_d: Contains all vertices deleted from the graph so far, in the order that they were deleted.

The algorithm works as follows:

1. In the first step, we collapse all multiple edges to single edges, so that the graph is simple. Next, we iterate over the vertices of the graph, pushing any vertex matching the conditions for S₄ or S₅ onto the appropriate stack.
2. Next, as long as S₄ is non-empty, we pop v from S₄ and delete v from the graph, pushing it onto S_d, along with a list of its neighbors at this point in time. We check each former neighbor of v, pushing it onto S₄ or S₅ if it now meets the necessary conditions.
3. When S₄ becomes empty, we know that our graph has minimum degree five. If the graph is empty, we go to the final step 5 below. Otherwise, Wernicke's Theorem tells us that S₅ is nonempty. Pop v off S₅, delete it from the graph, and let v₁, v₂, v₃, v₄, v₅ be the former neighbors of v in clockwise planar order, where v₁ is the neighbor of degree at most 6. We check if v₁ is adjacent to v₃ (which we can do in constant time due to the degree of v₁). There are two cases:
   1. If v₁ is not adjacent to v₃, we can merge these two vertices into a single vertex. To do this, we remove v from both circular adjacency lists, and then splice the two lists together into one list at the point where v was formerly found. Provided that v maintains a reference to its position in each list, this can be done in constant time. It's possible that this might create faces bounded by two edges at the two points where the lists are spliced together; we delete one edge from any such faces. After doing this, we push v₃ onto S_d, along with a note that v₁ is the vertex that it was merged with. Any vertices affected by the merge are added or removed from the stacks as appropriate.
   2. Otherwise, v₂ lies inside the face outlined by v, v₁, and v₃. Consequently, v₂ cannot be adjacent to v₄, which lies outside this face. We merge v₂ and v₄ in the same manner as v₁ and v₃ above.
4. Go to step 2.
5. At this point S₄, S₅, and the graph are empty. We pop vertices off S_d. If the vertex were merged with another vertex in step 3, the vertex that it was merged with will already have been colored, and we assign it the same color. This is valid because we only merged vertices that were not adjacent in the original graph. If we had removed it in step 2 because it had at most 4 adjacent vertices, all of its neighbors at the time of its removal will have already been colored, and we can simply assign it a color that none of its neighbors is using.

See also

• Four color theorem

References

Further reading

• Heawood, P. J. (1890), "Map-Colour Theorems", Quarterly Journal of Mathematics, Oxford, vol. 24, pp. 332–338