Beginner Topic 14 of 51 Theory & Discrete Math
Graph Coloring
Assigning colors so adjacent vertices differ.
How it works
Graph coloring assigns colors to vertices so that no two adjacent vertices share a color; the chromatic number is the minimum colors needed. Bipartite graphs need two colors, planar graphs never need more than four, the four color theorem, and a graph with maximum degree d can always be colored with d plus 1 colors by a greedy algorithm. Determining the chromatic number is NP-hard, and edge coloring and face coloring are related problems.
Where it is used
Scheduling exams or classes without conflicts, assigning radio frequencies, register allocation in compilers, map coloring and solving Sudoku use graph coloring.
Common pitfall
Greedy coloring depends on the vertex order and may use many more colors than optimal. Believing that more connections always require more colors ignores structure such as bipartiteness. The four color theorem applies only to planar graphs. For large instances use heuristics such as DSATUR, or solvers, and check for clique lower bounds.
Where it fits in the course
Graph Coloring is topic 14 of 51 in Theory & Discrete Math, rated Beginner. It follows Euler and Hamilton Paths. The next topic is Modular Arithmetic.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Theory & Discrete Math quiz.
- Explore the Graph Traversal visualizer: BFS, DFS and Dijkstra on a weighted graph.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Theory & Discrete Math quiz, and revisit the topic if you miss a question.
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Related topics
- Euler and Hamilton Paths (Theory & Discrete Math)
- Modular Arithmetic (Theory & Discrete Math)
- Trees in Graph Theory (Theory & Discrete Math)
- Number Theory Basics (Theory & Discrete Math)
- Graph Databases (Databases)
- Parallel Graph Algorithms (Concurrency & Parallelism)