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Helly's theorem

Helly's theorem 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 Helly's theorem rather than just read about it. In short: Helly's theorem is a basic result in discrete geometry on the intersection of convex sets. It was discovered by Eduard Helly in 1913, but not published by him until 1923, by which time alternative proofs by Radon (1921) and König (1922) had already appeared.

Helly's theorem — main illustration
Helly's theorem — illustration

Key takeaways

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

Reference excerpt

Helly's theorem is a basic result in discrete geometry on the intersection of convex sets. It was discovered by Eduard Helly in 1913, but not published by him until 1923, by which time alternative proofs by Radon (1921) and König (1922) had already appeared. Helly's theorem gave rise to the notion of a Helly family.

Statement Let X1, ..., Xn be a finite collection of convex subsets of R d {\displaystyle \mathbb {R} ^{d}} , with n ≥ d + 1 {\displaystyle n\geq d+1} . If the intersection of every d + 1 {\displaystyle d+1} of these sets is nonempty, then the whole collection has a nonempty intersection; that is,

⋂ j = 1 n X j ≠ ∅ . {\displaystyle \bigcap _{j=1}^{n}X_{j}\neq \varnothing .}

For infinite collections one has to assume compactness: Let { X α } {\displaystyle \{X_{\alpha }\}} be a collection of compact convex subsets of R d {\displaystyle \mathbb {R} ^{d}} , such that every subcollection of cardinality at most d + 1 {\displaystyle d+1} has nonempty intersection. Then the whole collection has nonempty intersection.

Proof We prove the finite version, using Radon's theorem as in the proof by Radon (1921). The infinite version then follows by the finite intersection property characterization of compactness: a collection of closed subsets of a compact space has a non-empty intersection if and only if every finite subcollection has a non-empty intersection (once you fix a single set, the intersection of all others with it are closed subsets of a fixed compact space). The proof is by induction: Base case: Let n = d + 2. By our assumptions, for every j = 1, ..., n there is a point xj that is in the common intersection of all Xi with the possible exception of Xj. Now we apply Radon's theorem to the set A = {x1, ..., xn}, which furnishes us with disjoint subsets A1, A2 of A such that the convex hull of A1 intersects the convex hull of A2. Suppose that p is a point in the intersection of these two convex hulls. We claim that

p ∈ ⋂ j = 1 n X j . {\displaystyle p\in \bigcap _{j=1}^{n}X_{j}.}

Indeed, consider any j ∈ {1, ..., n}. We shall prove that p ∈ Xj. Note that the only element of A that may not be in Xj is xj. If xj ∈ A1, then xj ∉ A2, and therefore Xj ⊃ A2. Since Xj is convex, it then also contains the convex hull of A2 and therefore also p ∈ Xj. Likewise, if xj ∉ A1, then Xj ⊃ A1, and by the same reasoning p ∈ Xj. Since p is in every Xj, it must also be in the intersection. Above, we have assumed that the points x1, ..., xn are all distinct. If this is not the case, say xi = xk for some i ≠ k, then xi is in every one of the sets Xj, and again we conclude that the intersection is nonempty. This completes the proof in the case n = d + 2. Inductive Step: Suppose n > d + 2 and that the statement is true for n−1. The argument above shows that any subcollection of d + 2 sets will have nonempty intersection. We may then consider the collection where we replace the two sets Xn−1 and Xn with the single set Xn−1 ∩ Xn. In this new collection, every subcollection of d + 1 sets will have nonempty intersection. The inductive hypothesis therefore applies, and shows that this new collection has nonempty intersection. This implies the same for the original collection, and completes the proof. Topological proof of the base case Let X = X 1 ∪ ⋯ ∪ X n + 2 {\displaystyle X=X_{1}\cup \cdots \cup X_{n+2}} , and consider the cover

U = { X i } i = 1 n + 2 {\displaystyle {\mathcal {U}}=\{X_{i}\}_{i=1}^{n+2}} . Since the intersection of convex sets is convex, every non-empty finite intersection of elements of U {\displaystyle {\mathcal {U}}} is contractible. Hence U {\displaystyle {\mathcal {U}}} is a good cover. By the basic nerve lemma, X {\displaystyle X} is homotopy equivalent to the geometric realization | N | {\displaystyle |{\mathcal {N}}|} of the nerve N {\displaystyle {\mathcal {N}}} of the cover. Assuming that

X 1 ∩ ⋯ ∩ X n + 2 = ∅ , {\displaystyle X_{1}\cap \cdots \cap X_{n+2}=\varnothing ,}

… excerpt ends here. Continue reading the full article.

Illustrations

Helly's theorem: Helly's theorem for the Euclidean plane: if every triple of sets in a family of convex sets has a nonempty intersection, then the whole family has a nonempty intersection.
Helly's theorem for the Euclidean plane: if every triple of sets in a family of convex sets has a nonempty intersection, then the whole family has a nonempty intersection.

Worked examples

Example 1 — a first encounter with Helly's theorem

Start with the simplest possible case. Write down what Helly's theorem 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 Helly's theorem 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 Helly's theorem 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 Helly's theorem

In research
Helly's theorem 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 Helly's theorem 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
Helly's theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Geometric transversal theory, Theorems in convex geometry, Theorems in discrete geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Helly's theorem 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 Helly's theorem in 20 minutes

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

Frequently asked questions

What is Helly's theorem in simple terms?

Helly's theorem is a basic result in discrete geometry on the intersection of convex sets. It was discovered by Eduard Helly in 1913, but not published by him until 1923, by which time alternative proofs by Radon (1921) and König (1922) had already appeared.

Why does Helly's theorem 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 Helly's theorem?

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 Helly's theorem.

Tags

  • Geometric transversal theory
  • Theorems in convex geometry
  • Theorems in discrete geometry

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