混合数字和不友好的图着色

R. Cowen
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摘要

我们只考虑顶点着色,所以“有色图”总是指顶点着色的图。图的n着色是将顶点划分为n个不相交的子集。我们从两种颜色开始;称这些颜色为红色和蓝色。如果两个顶点由一条边连接,它们就是邻居。我们说两个颜色相同的顶点是朋友,两个颜色相反的顶点是陌生人。如果一个有色顶点v的邻居中有一半以上是v的朋友,我们就说v在一个友好的邻居中;否则,据说v住在一个不友好的社区。如果图中所有顶点的颜色相同,则每个顶点都在友好邻域中。是否存在两种着色使得每个顶点都处于不友好邻域?这个问题令人惊讶的答案是肯定的,我们将会展示。一个图的2色是不友好的,如果每个顶点都在一个不友好的邻居中,也就是说,至少有一半的邻居的颜色与它自己不同。这是一个定理,每个有限图都有不友好着色。(无限图的情况要复杂得多[1,2])。这个证明很聪明,但不是很长,我们接下来给出它。定义彩色图形的混合数为其顶点具有不同颜色的边的数量。通过连续的“翻转”来进行,也就是说,改变那些生活在友好社区中的顶点的颜色。当一个顶点翻转时,可能会改变其他顶点的邻域状态;然而,每次翻转都会增加图的混合次数。由于混合数受图中边数的限制,这个翻转过程最终必须以没有可翻转的顶点结束,也就是说,没有更多的顶点生活在友好的邻居中。
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Mixing Numbers and Unfriendly Colorings of Graphs
We only consider vertex colorings, so a "colored graph" always means a vertex-colored graph. An n-coloring of a graph is a partition of the vertices into n disjoint subsets. We start with 2-colorings; call the colors red and blue. Two vertices are neighbors if they are connected by an edge. We say that two vertices of the same color are friends and two vertices of opposite colors are strangers. If more than half the neighbors of a colored vertex v are friends of v, we say that v lives in a friendly neighborhood; otherwise, v is said to live in an unfriendly neighborhood. If all the vertices of the graph have the same color, every vertex lives in a friendly neighborhood. Is there a 2-coloring such that every vertex lives in an unfriendly neighborhood? The surprising answer to this question is yes, as we shall show. A 2-coloring of a graph is unfriendly if each vertex lives in an unfriendly neighborhood, that is, at least half its neighbors are colored differently from itself. It is a theorem that every finite graph has an unfriendly coloring. (The situation is much more complicated for infinite graphs [1, 2]). The proof is clever, but not very long and we give it next. Define the mixing number of a colored graph to be the number of its edges whose vertices have different colors. Proceed by successively "flipping," that is, changing the color of those vertices that live in friendly neighborhoods. When a vertex is flipped, it may change the neighborhood status of other vertices; however, each flip increases the mixing number of the graph. Since the mixing number is bounded by the number of edges in the graph, this flipping process must eventually end with no more flippable vertices, that is, no more vertices living in friendly neighborhoods.
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