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Ruzsa–Szemerédi problem

Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem rather than just read about it. In short: In combinatorial mathematics and extremal graph theory, the Ruzsa–Szemerédi problem or (6,3)-problem asks for the maximum number of edges in a graph in which every edge belongs to a unique triangle. Equivalently it asks for the maximum number of edges in a balanced bipartite graph whose edges can be partitioned into a linear number of induced matchings, or the maximum number of triples one can choose from n {\displa…

Ruzsa–Szemerédi problem — main illustration
Ruzsa–Szemerédi problem — illustration

Key takeaways

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

Reference excerpt

In combinatorial mathematics and extremal graph theory, the Ruzsa–Szemerédi problem or (6,3)-problem asks for the maximum number of edges in a graph in which every edge belongs to a unique triangle. Equivalently it asks for the maximum number of edges in a balanced bipartite graph whose edges can be partitioned into a linear number of induced matchings, or the maximum number of triples one can choose from n {\displaystyle n} points so that every six points contain at most two triples. The problem is named after Imre Z. Ruzsa and Endre Szemerédi, who first proved that its answer is smaller than n 2 {\displaystyle n^{2}} by a slowly-growing (but still unknown) factor.

Equivalence between formulations The following questions all have answers that are asymptotically equivalent: they differ by, at most, constant factors from each other.

What is the maximum possible number of edges in a graph with n {\displaystyle n} vertices in which every edge belongs to a unique triangle? The graphs with this property are called locally linear graphs or locally matched graphs. What is the maximum possible number of edges in a bipartite graph with n {\displaystyle n} vertices on each side of its bipartition, whose edges can be partitioned into n {\displaystyle n} induced subgraphs that are each matchings? What is the largest possible number of triples of points that one can select from n {\displaystyle n} given points, in such a way that every six points contain at most two of the selected triples? The Ruzsa–Szemerédi problem asks for the answer to these equivalent questions. To convert the bipartite graph induced matching problem into the unique triangle problem, add a third set of n {\displaystyle n} vertices to the graph, one for each induced matching, and add edges from vertices u {\displaystyle u} and v {\displaystyle v} of the bipartite graph to vertex w {\displaystyle w} in this third set whenever bipartite edge u v {\displaystyle uv} belongs to induced matching w {\displaystyle w} . The result is a balanced tripartite graph with 3 n {\displaystyle 3n} vertices and the unique triangle property. In the other direction, an arbitrary graph with the unique triangle property can be made into a balanced tripartite graph by choosing a partition of the vertices into three equal sets randomly and keeping only the triangles that respect the partition. This will retain (in expectation) a constant fraction of the triangles and edges. A balanced tripartite graph with the unique triangle property can be made into a partitioned bipartite graph by removing one of its three subsets of vertices, and making an induced matching on the neighbors of each removed vertex. To convert a graph with a unique triangle per edge into a triple system, let the triples be the triangles of the graph. No six points can include three triangles without either two of the three triangles sharing an edge or all three triangles forming a fourth triangle that shares an edge with each of them. In the other direction, to convert a triple system into a graph, first eliminate any sets of four points that contain two triples. These four points cannot participate in any other triples, and so cannot contribute towards a more-than-linear total number of triples. Then, form a graph connecting any pair of points that both belong to any of the remaining triples.

… excerpt ends here. Continue reading the full article.

Illustrations

Ruzsa–Szemerédi problem: The nine-vertex Paley graph, a balanced tripartite graph with 18 edges, each belonging to exactly one triangle
The nine-vertex Paley graph, a balanced tripartite graph with 18 edges, each belonging to exactly one triangle
Ruzsa–Szemerédi problem: Several views of the Brouwer–Haemers graph, a non-tripartite 20-regular graph with 81 vertices in which each edge belongs to exactly one triangle
Several views of the Brouwer–Haemers graph, a non-tripartite 20-regular graph with 81 vertices in which each edge belongs to exactly one triangle
Ruzsa–Szemerédi problem: Tripod packing, one of the applications of the upper bounds on the Ruzsa–Szemerédi problem
Tripod packing, one of the applications of the upper bounds on the Ruzsa–Szemerédi problem

Worked examples

Example 1 — a first encounter with Ruzsa–Szemerédi problem

Start with the simplest possible case. Write down what Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem

In research
Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem 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
Ruzsa–Szemerédi problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Combinatorial design, Extremal graph theory, Matching (graph theory), so understanding it makes those chapters shorter.
In everyday life
Look for Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ruzsa–Szemerédi problem in simple terms?

In combinatorial mathematics and extremal graph theory, the Ruzsa–Szemerédi problem or (6,3)-problem asks for the maximum number of edges in a graph in which every edge belongs to a unique triangle. Equivalently it asks for the maximum number of edges in a balanced bipartite graph whose edges can b…

Why does Ruzsa–Szemerédi problem 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 Ruzsa–Szemerédi problem?

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 Ruzsa–Szemerédi problem.

Tags

  • Combinatorial design
  • Extremal graph theory
  • Matching (graph theory)

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