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Ramsey-Turán theory

Ramsey-Turán theory 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 Ramsey-Turán theory rather than just read about it. In short: Ramsey-Turán theory is a subfield of extremal graph theory. It studies common generalizations of Ramsey's theorem and Turán's theorem.

Key takeaways

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

Reference excerpt

Ramsey-Turán theory is a subfield of extremal graph theory. It studies common generalizations of Ramsey's theorem and Turán's theorem. In brief, Ramsey-Turán theory asks for the maximum number of edges a graph which satisfies constraints on its subgraphs and structure can have. The theory organizes many natural questions which arise in extremal graph theory. The first authors to formalize the central ideas of the theory were Erdős and Sós in 1969, though mathematicians had previously investigated many Ramsey-Turán-type problems.

Ramsey's theorem and Turán's theorem

Ramsey's theorem for two colors and the complete graph, proved in its original form in 1930, states that for any positive integer k there exists an integer n large enough that for any coloring of the edges of the complete graph K n {\displaystyle K_{n}} using two colors has a monochoromatic copy of K k {\displaystyle K_{k}} . More generally, for any graphs L 1 , … , L r {\displaystyle L_{1},\dots ,L_{r}} , there is a threshold R = R ( L 1 , … , L k ) {\displaystyle R=R(L_{1},\dots ,L_{k})} such that if n ≥ R {\displaystyle n\geq R} and the edges of K n {\displaystyle K_{n}} are colored arbitrarily with r {\displaystyle r} colors, then for some 1 ≤ i ≤ r {\displaystyle 1\leq i\leq r} there is a L i {\displaystyle L_{i}} in the i {\displaystyle i} th color. Turán's theorem, proved in 1941, characterizes the graph with the maximal number of edges on n {\displaystyle n} vertices which does not contain a K r + 1 {\displaystyle K_{r+1}} . Specifically, the theorem states that for all positive integers r , n {\displaystyle r,n} , the number of edges of an n {\displaystyle n} -vertex graph which does not contain K r + 1 {\displaystyle K_{r+1}} as a subgraph is at most ( 1 − 1 r ) n 2 2 {\displaystyle {\bigg (}1-{\frac {1}{r}}{\bigg )}{\frac {n^{2}}{2}}} and that the maximum is attained uniquely by the Turán graph T n , r {\displaystyle T_{n,r}} . Both of these classic results ask questions about how large a graph can be before it possesses a certain property. There is a notable stylistic difference, however. The extremal graph in Turán's theorem has a very strict structure, having a small chromatic number and containing a small number of large independent sets. On the other hand, the graph considered in Ramsey problems is the complete graph, which has large chromatic number and no nontrivial independent set. A natural way to combine these two kinds of problems is to ask the following question, posed by Andrásfai:

Problem 1: For a given positive integer m {\displaystyle m} , let G {\displaystyle G} be an n {\displaystyle n} -vertex graph not containing K r + 1 {\displaystyle K_{r+1}} and having independence number α ( G ) < m {\displaystyle \alpha (G)<m} . What is the maximum number of edges such a graph can have? Essentially, this question asks for the answer to the Turán problem in a Ramsey setting; it restricts Turán's problem to a subset of graphs with less orderly, more randomlike structure. The following question combines the problems in the opposite direction:

Problem 2: Let L 1 , … , L r {\displaystyle L_{1},\dots ,L_{r}} be fixed graphs. What is the maximum number of edges an r {\displaystyle r} -edge colored graph on n {\displaystyle n} vertices can have under the condition that it does not contain an L i {\displaystyle L_{i}} in the ith color?

General problem The backbone of Ramsey-Turán theory is the common generalization of the above problems.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Ramsey-Turán theory

Start with the simplest possible case. Write down what Ramsey-Turán theory 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 Ramsey-Turán 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 Ramsey-Turán 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 Ramsey-Turán theory

In research
Ramsey-Turán theory 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 Ramsey-Turán 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
Ramsey-Turán theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Extremal graph theory, so understanding it makes those chapters shorter.
In everyday life
Look for Ramsey-Turán 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 Ramsey-Turán theory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Ramsey-Turán 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 Ramsey-Turán theory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ramsey-Turán theory in simple terms?

Ramsey-Turán theory is a subfield of extremal graph theory. It studies common generalizations of Ramsey's theorem and Turán's theorem.

Why does Ramsey-Turán theory 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 Ramsey-Turán 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 Ramsey-Turán theory.

Tags

  • Extremal graph theory

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