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Turán's Theorem and Extremal Graph Theory

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Introduction to Graph TheoryErdős-Gallai Theorem+3 more→→Extremal Graph Theory and Forbidden Subgraphs
graph-theory extremal

Core Idea

Turán's Theorem determines the maximum number of edges in an n-vertex graph containing no clique of size r+1: the extremal graph is the Turán graph T(n,r), a balanced complete r-partite graph. This foundational result shows that complete multipartite graphs are optimal for avoiding cliques, initiating extremal graph theory.

Explainer

A clique in a graph is a set of vertices that are all mutually adjacent — everyone is connected to everyone else. A triangle is a clique of size 3; K₄ is a clique of size 4. Extremal graph theory asks: how many edges can a graph have before it's forced to contain a clique of a given size? Turán's theorem answers this question exactly.

The question is subtler than it appears. You can always add edges to a graph until you create a clique — the question is how many edges you can pack in while *avoiding* one. Turán's insight was to identify the precise structure that maximizes edges without forming a K_{r+1}. That structure is the Turán graph T(n, r): take n vertices, divide them into r groups as evenly as possible, and add an edge between every pair of vertices that belong to *different* groups. Crucially, no two vertices in the same group are connected, which is exactly why no K_{r+1} can form: to have a clique of size r+1, you'd need r+1 mutually adjacent vertices, but since there are only r groups and two vertices in the same group share no edge, a clique can have at most one vertex from each group — giving maximum clique size r, not r+1.

The theorem says T(n, r) is not just *one* extremal graph — it is the *unique* graph (up to isomorphism) achieving the maximum edge count without a K_{r+1}. The edge count itself is called the Turán number ex(n, K_{r+1}). For example, ex(n, K₃) is the maximum number of edges in a triangle-free graph on n vertices, achieved by the complete bipartite graph K_{⌊n/2⌋, ⌈n/2⌉} — that's T(n, 2). Mantel's Theorem (1907) established this special case a generation before Turán proved the general result in 1941.

Why does "balanced" matter? If you split into r groups of unequal size, you can actually increase the edge count by equalizing them — transferring a vertex from a larger group to a smaller one always adds at least as many edges as it removes. This balancing argument is the combinatorial core of the proof. Turán's theorem inaugurated extremal graph theory, the study of how local constraints (avoiding a forbidden subgraph) bound global structure (edge density). It also underlies the Kruskal-Katona theorem, the Zarankiewicz problem, and many results in Ramsey theory — all asking what graph structure is forced when density is high enough.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Set Operations: Union, Intersection, and Complement → Proof by Cases → Proving by Cases and Exhaustion → Vacuous Truth and Trivial Cases → Proof by Cases (Proof by Exhaustion) → Mathematical Induction → Graph Paths, Cycles, and Connectivity → Trees and Spanning Trees → Planar Graphs and Euler's Formula → Graph Coloring and the Chromatic Number → Graph Coloring and Chromatic Numbers → Bipartite Graphs and Matching Problems → Bipartite Graphs and 2-Colorability → Graph Matching and Hall's Marriage Theorem → Network Flows: Maximum Flow and Minimum Cut → Walks, Trails, Paths, and Cycles in Graphs → Eulerian Paths, Circuits, and Characterization → Euler Paths, Euler Circuits, and Applications → Hamiltonian Paths and Cycles → Hamiltonian Circuits and Paths → Hamiltonian Cycles: Dirac and Ore Conditions → Turán's Theorem and Extremal Graph Theory

Longest path: 90 steps · 416 total prerequisite topics

Prerequisites (5)

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