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Kőnig's theorem (graph theory)

Kőnig's theorem (graph theory) is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Kőnig's theorem (graph theory) rather than just read about it. In short: In the mathematical area of graph theory, Kőnig's theorem, proved by Dénes Kőnig (1931), describes an equivalence between the maximum matching problem and the minimum vertex cover problem in bipartite graphs. It was discovered independently, also in 1931, by Jenő Egerváry in the more general case of weighted graphs.

Kőnig's theorem (graph theory) — main illustration
Kőnig's theorem (graph theory) — illustration

Key takeaways

  • Kőnig's theorem (graph theory) belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Kőnig's theorem (graph theory) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Kőnig's theorem (graph theory) from memory before moving on to harder problems.

Reference excerpt

In the mathematical area of graph theory, Kőnig's theorem, proved by Dénes Kőnig (1931), describes an equivalence between the maximum matching problem and the minimum vertex cover problem in bipartite graphs. It was discovered independently, also in 1931, by Jenő Egerváry in the more general case of weighted graphs.

Setting A vertex cover in a graph is a set of vertices that includes at least one endpoint of every edge, and a vertex cover is minimum if no other vertex cover has fewer vertices. A matching in a graph is a set of edges no two of which share an endpoint, and a matching is maximum if no other matching has more edges. It is obvious from the definition that any vertex-cover set must be at least as large as any matching set (since for every edge in the matching, at least one vertex is needed in the cover). In particular, the minimum vertex cover set is at least as large as the maximum matching set. Kőnig's theorem states that, in any bipartite graph, the minimum vertex cover set and the maximum matching set have in fact the same size.

Statement of the theorem In any bipartite graph, the number of edges in a maximum matching equals the number of vertices in a minimum vertex cover.

Example The bipartite graph shown in the above illustration has 14 vertices; a matching with six edges is shown in blue, and a vertex cover with six vertices is shown in red. There can be no smaller vertex cover, because any vertex cover has to include at least one endpoint of each matched edge (as well as of every other edge), so this is a minimum vertex cover. Similarly, there can be no larger matching, because any matched edge has to include at least one endpoint in the vertex cover, so this is a maximum matching. Kőnig's theorem states that the equality between the sizes of the matching and the cover (in this example, both numbers are six) applies more generally to any bipartite graph.

Proofs

Constructive proof

… excerpt ends here. Continue reading the full article.

Illustrations

Kőnig's theorem (graph theory): An example of a bipartite graph, with a maximum matching (blue) and minimum vertex cover (red) both of size six.
An example of a bipartite graph, with a maximum matching (blue) and minimum vertex cover (red) both of size six.
Kőnig's theorem (graph theory): Minimum cut 
  
    
      
        (
        S
        ,
        T
        )
      
    
    {\displaystyle (S,T)}
  
 in the flow network 
  
    
      
        
          G
          
            ∞
          
          ′
        
      
    
    {\displaystyle G'_{\infty }}
Minimum cut ( S , T ) {\displaystyle (S,T)} in the flow network G ∞ ′ {\displaystyle G'_{\infty }}

Worked examples

Example 1 — a first encounter with Kőnig's theorem (graph theory)

Start with the simplest possible case. Write down what Kőnig's theorem (graph theory) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kőnig's theorem (graph theory) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kőnig's theorem (graph theory) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kőnig's theorem (graph theory)

In research
Kőnig's theorem (graph theory) appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Kőnig's theorem (graph theory) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Kőnig's theorem (graph theory) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bipartite graphs, Matching (graph theory), Perfect graphs, so understanding it makes those chapters shorter.
In everyday life
Look for Kőnig's theorem (graph theory) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Kőnig's theorem (graph theory) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Kőnig's theorem (graph theory) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Kőnig's theorem (graph theory) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kőnig's theorem (graph theory) in simple terms?

In the mathematical area of graph theory, Kőnig's theorem, proved by Dénes Kőnig (1931), describes an equivalence between the maximum matching problem and the minimum vertex cover problem in bipartite graphs. It was discovered independently, also in 1931, by Jenő Egerváry in the more general case o…

Why does Kőnig's theorem (graph theory) matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kőnig's theorem (graph theory)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kőnig's theorem (graph theory).

Tags

  • Bipartite graphs
  • Matching (graph theory)
  • Perfect graphs
  • Theorems in graph theory

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