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What is Star Coloring in Graph Theory?

Published in Graph Theory Coloring 5 mins read

Star coloring in graph theory is a specialized type of graph coloring that adheres to stricter rules than a simple proper coloring. It is defined as a proper coloring of a graph such that no path of length 3 in the graph is bicolored. This rigorous condition ensures a more dispersed and intricate distribution of colors across the graph's vertices.

Key Conditions for a Star Coloring

A coloring of a graph $G$ is considered a star coloring if it satisfies two essential conditions:

  1. Proper Coloring: As with any standard graph coloring, adjacent vertices (vertices connected by an edge) must be assigned different colors. This prevents ambiguity and ensures clear differentiation between directly connected elements.
  2. No Bicolored Path of Length 3: This is the defining and more restrictive condition.
    • A "path of length 3" refers to a sequence of four distinct vertices and three edges connecting them, e.g., $v_1 - v_2 - v_3 - v_4$.
    • "Bicolored" means that only two colors are used for the vertices in this path, and they alternate. For instance, if colors are A and B, a bicolored path of length 3 would look like A-B-A-B or B-A-B-A.
    • Therefore, a star coloring prohibits any such alternating two-color pattern on any path of four vertices in the graph. This powerful condition implicitly ensures that no two vertices at distance 2 can have the same color. For any path $u-v-w$, $color(u)$ must be different from $color(w)$. If $color(u)$ and $color(w)$ were the same (e.g., $C_1-C_2-C_1$), and this path were extended to a $P_4$ ($C_1-C_2-C_1-C_2$), it would be a forbidden bicolored path of length 3.

The Star Chromatic Number ($\chi_s(G)$)

The star chromatic number, denoted as $\chi_s(G)$, represents the minimum number of colors required to achieve a star coloring of a graph $G$. It is a fundamental parameter in the study of star colorings, analogous to the chromatic number ($\chi(G)$) for proper colorings.

Why "Star"?

The name "star coloring" originates from the structure it prohibits. A path of length 2 ($P_3$), consisting of three vertices $u-v-w$, can be thought of as a "star" subgraph where $v$ is the center and $u, w$ are its leaves. The condition that $color(u) \neq color(w)$ means that the leaves of any such "star" must always have different colors.

Star Coloring vs. Other Graph Colorings

Star coloring is a specific type of graph coloring that is generally more restrictive than other forms:

Coloring Type Description Key Condition(s) Relationship
Proper Coloring Assigns colors to vertices such that no two adjacent vertices share the same color. Adjacent vertices have different colors. Most basic; all other types are also proper colorings.
Star Coloring A proper coloring where no path of length 3 is bicolored (implying no two vertices at distance 2 share a color). Adjacent vertices different; No $P_4$ of type A-B-A-B; endpoints of any $P_3$ different. Stronger than proper coloring and acyclic coloring.
Acyclic Coloring A proper coloring where every cycle contains at least three distinct colors (i.e., no cycle is bicolored). Adjacent vertices different; No cycle is bicolored. Weaker than star coloring (a star coloring is always an acyclic coloring).

A star coloring is always an acyclic coloring, meaning it also ensures that no cycle in the graph is bicolored (uses only two alternating colors). However, the converse is not true; an acyclic coloring is not necessarily a star coloring.

Applications of Star Coloring

While more complex to compute, star coloring finds applications in various fields where strict separation of elements is crucial:

  • Frequency Assignment: In wireless networks, star coloring can help assign frequencies to transmitters to prevent interference, especially over short distances.
  • Scheduling: It can be used in scheduling problems to ensure that tasks that are indirectly related (e.g., requiring shared resources with a mediating step) do not conflict.
  • Data Analysis: In certain data clustering or network analysis scenarios, it might be used to group related but not directly conflicting elements.

Examples

Let's look at simple examples to illustrate star coloring:

  • Path Graph ($P_n$):

    • For $P_2$ ($v_1-v_2$): Needs 2 colors (e.g., 1-2). $\chi_s(P_2) = 2$.
    • For $P_3$ ($v_1-v_2-v_3$): Needs 3 colors (e.g., 1-2-3). Cannot be 1-2-1 because endpoints of $P_3$ must be different. $\chi_s(P_3) = 3$.
    • For $P_4$ ($v_1-v_2-v_3-v_4$): Needs 3 colors (e.g., 1-2-3-1). Cannot be 1-2-3-2 because it would be a bicolored $P_4$.
    • Generally, for $P_n$ where $n \ge 3$, $\chi_s(P_n) = 3$.
  • Cycle Graph ($C_n$):

    • For $C_3$ (triangle): Needs 3 colors (e.g., 1-2-3). $\chi_s(C_3) = 3$.
    • For $C_4$ (square): Needs 3 colors (e.g., 1-2-3-1). This is a valid star coloring. $\chi_s(C_4) = 3$.
    • For $C_5$ (pentagon): Needs 4 colors (e.g., 1-2-3-4-1). This is because a $C_5$ has paths of length 3. For example, $v_1-v_2-v_3-v_4$. If $v_1=v_3$ or $v_2=v_4$ in a P4 sense. Or, if we use just 3 colors, say 1-2-3-1-2. Then $v_1-v_5-v_4$ is $1-2-1$, which is forbidden. So, $\chi_s(C_5)=4$.