ArticleslgStudy

science

Tuza's conjecture

Tuza's conjecture is a science 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 Tuza's conjecture rather than just read about it. In short: Tuza's conjecture is an unsolved problem in graph theory, a branch of mathematics, concerning triangles in undirected graphs. Statement In any graph G {\displaystyle G} , one can define two quantities ν ( G ) {\displaystyle \nu (G)} and τ ( G ) {\displaystyle \tau (G)} based on the triangles in G {\displaystyle G} .

Tuza's conjecture — main illustration
Tuza's conjecture — illustration

Key takeaways

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

Reference excerpt

Tuza's conjecture is an unsolved problem in graph theory, a branch of mathematics, concerning triangles in undirected graphs.

Statement In any graph G {\displaystyle G} , one can define two quantities ν ( G ) {\displaystyle \nu (G)} and τ ( G ) {\displaystyle \tau (G)} based on the triangles in G {\displaystyle G} . The quantity ν ( G ) {\displaystyle \nu (G)} is the "triangle packing number", the largest number of edge-disjoint triangles that it is possible to find in G {\displaystyle G} . It can be computed in polynomial time as a special case of the matroid parity problem. The quantity τ ( G ) {\displaystyle \tau (G)} is the size of the smallest "triangle-hitting set", a set of edges that touches at least one edge from each triangle. Clearly, ν ( G ) ≤ τ ( G ) ≤ 3 ν ( G ) {\displaystyle \nu (G)\leq \tau (G)\leq 3\nu (G)} . For the first inequality, ν ( G ) ≤ τ ( G ) {\displaystyle \nu (G)\leq \tau (G)} , any triangle-hitting set must include at least one edge from each triangle of the optimal packing, and none of these edges can be shared between two or more of these triangles because the triangles are disjoint. For the second inequality, τ ( G ) ≤ 3 ν ( G ) {\displaystyle \tau (G)\leq 3\nu (G)} , one can construct a triangle-hitting set of size 3 ν ( G ) {\displaystyle 3\nu (G)} by choosing all edges of the triangles of an optimal packing. This must hit all triangles in G {\displaystyle G} , even the ones not in the packing, because otherwise the packing could be made larger by adding any unhit triangle. Tuza's conjecture asserts that the second inequality is not tight, and can be replaced by τ ( G ) ≤ 2 ν ( G ) {\displaystyle \tau (G)\leq 2\nu (G)} . That is, according to this unproven conjecture, every undirected graph G {\displaystyle G} has a triangle-hitting set whose size is at most twice the number of triangles in an optimal packing.

History and partial results Zsolt Tuza formulated Tuza's conjecture in 1981. If true, it would be best possible: there are infinitely many graphs for which τ ( G ) = 2 ν ( G ) {\displaystyle \tau (G)=2\nu (G)} , including all of the block graphs whose blocks are cliques of 2, 4, or 5 vertices. The conjecture is known to hold for planar graphs, and more generally for sparse graphs of degeneracy at most six. (Planar graphs have degeneracy at most five.) It is also known to hold for graphs of treewidth at most six, for threshold graphs, for sufficiently dense graphs, and for chordal graphs that don't contain a large clique. For random graphs in the Erdős–Rényi–Gilbert model, it is true with high probability. Although Tuza's conjecture remains unproven, the bound τ ( G ) ≤ 3 ν ( G ) {\displaystyle \tau (G)\leq 3\nu (G)} can be improved, for all graphs, to τ ( G ) ≤ ( 3 − 3 23 ) ν ( G ) ≈ 2.8695 ν ( G ) {\displaystyle \tau (G)\leq (3-{\tfrac {3}{23}})\nu (G)\approx 2.8695\nu (G)} .

See also Mantel's theorem Triangle removal lemma

References

External links van der Pol, Jorn (March 6, 2023), "Triangles, arcs, and ovals", The Matroid Union

Illustrations

Tuza's conjecture: Packing and covering triangles in the complete graph 
  
    
      
        
          K
          
            5
          
        
      
    
    {\displaystyle K_{5}}
  
. The maximum number of edge-disjoint triangles in this graph is two (left). If four edges are removed from the graph (red edges, right), the remaining subgraph becomes triangle-free, and more strongly bipartite (as shown by the blue and yellow vertex coloring). According to Tuza's conjecture, in any graph, it is possible to remove twice as many edges as the maximum triangle packing size, and eliminate all triangles. 
  
    
      
        
          K
          
            5
          
        
      
    
    {\displaystyle K_{5}}
  
 is an extreme case, for which exactly twice the packing size is needed.
Packing and covering triangles in the complete graph K 5 {\displaystyle K_{5}} . The maximum number of edge-disjoint triangles in this graph is two (left). If four edges are removed from the graph (red edges, right), the remaining subgraph becomes triangle-free, and more strongly bipartite (as shown by the blue and yellow vertex coloring). According to Tuza's conjecture, in any graph, it is possible to remove twice as many edges as the maximum triangle packing size, and eliminate all triangles. K 5 {\displaystyle K_{5}} is an extreme case, for which exactly twice the packing size is needed.

Worked examples

Example 1 — a first encounter with Tuza's conjecture

Start with the simplest possible case. Write down what Tuza's conjecture claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Tuza's conjecture 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 Tuza's conjecture 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 Tuza's conjecture

In research
Tuza's conjecture appears in science 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 Tuza's conjecture 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
Tuza's conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Unsolved problems in graph theory, so understanding it makes those chapters shorter.
In everyday life
Look for Tuza's conjecture 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Tuza's conjecture” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Tuza's conjecture in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Tuza's conjecture 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 Tuza's conjecture out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tuza's conjecture in simple terms?

Tuza's conjecture is an unsolved problem in graph theory, a branch of mathematics, concerning triangles in undirected graphs. Statement In any graph G {\displaystyle G} , one can define two quantities ν ( G ) {\displaystyle \nu (G)} and τ ( G ) {\displaystyle \tau (G)} based on the triangles in G {…

Why does Tuza's conjecture matter?

Because it connects several science 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 Tuza's conjecture?

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 Tuza's conjecture.

Tags

  • Unsolved problems in graph theory

Keep exploring