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Neighborly polytope

Neighborly polytope 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 Neighborly polytope rather than just read about it. In short: In geometry and polyhedral combinatorics, a k-neighborly polytope is a convex polytope in which every set of k or fewer vertices forms a face. For instance, a 2-neighborly polytope is a polytope in which every pair of vertices is connected by an edge, forming a complete graph. 2-neighborly polytopes with more than four vertices may exist only in spaces of four or more dimensions, and in general a k-neighborly polyto…

Key takeaways

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

Reference excerpt

In geometry and polyhedral combinatorics, a k-neighborly polytope is a convex polytope in which every set of k or fewer vertices forms a face. For instance, a 2-neighborly polytope is a polytope in which every pair of vertices is connected by an edge, forming a complete graph. 2-neighborly polytopes with more than four vertices may exist only in spaces of four or more dimensions, and in general a k-neighborly polytope (other than a simplex) requires a dimension of 2k or more. A d-simplex is d-neighborly. A polytope is said to be neighborly, without specifying k, if it is k-neighborly for k = ⌊d⁄2⌋. If we exclude simplices, this is the maximum possible k: in fact, every polytope that is k-neighborly for some k ≥ 1 + ⌊d⁄2⌋ is a simplex. In a k-neighborly polytope with k ≥ 3, every 2-face must be a triangle, and in a k-neighborly polytope with k ≥ 4, every 3-face must be a tetrahedron. More generally, in any k-neighborly polytope, all faces of dimension less than k are simplices. The cyclic polytopes formed as the convex hulls of finite sets of points on the moment curve (t, t2, …, td) in d-dimensional space are automatically neighborly. Theodore Motzkin conjectured that all neighborly polytopes are combinatorially equivalent to cyclic polytopes. However, contrary to this conjecture, there are many neighborly polytopes that are not cyclic: the number of combinatorially distinct neighborly polytopes grows superexponentially, both in the number of vertices of the polytope and in the dimension. The convex hull of a set of random points, drawn from a Gaussian distribution with the number of points proportional to the dimension, is with high probability k-neighborly for a value k that is also proportional to the dimension. The number of faces of all dimensions of a neighborly polytope in an even number of dimensions is determined solely from its dimension and its number of vertices by the Dehn–Sommerville equations: the number of k-dimensional faces, fk, satisfies the inequality

f k − 1 ≤ ∑ i = 0 d / 2

∗ ( ( d − i k − i ) + ( i k − d + i ) ) ( n − d − 1 + i i ) , {\displaystyle f_{k-1}\leq \sum _{i=0}^{d/2}{}^{*}\left({\binom {d-i}{k-i}}+{\binom {i}{k-d+i}}\right){\binom {n-d-1+i}{i}},}

where the asterisk means that the sums ends at i = ⌊d⁄2⌋ and final term of the sum should be halved if d is even. According to the upper bound theorem of McMullen (1970), neighborly polytopes achieve the maximum possible number of faces of any n-vertex d-dimensional convex polytope. A generalized version of the happy ending problem applies to higher-dimensional point sets, and implies that for every dimension d and every n > d there exists a number m(d,n) with the property that every m points in general position in d-dimensional space contain a subset of n points that form the vertices of a neighborly polytope.

References

Worked examples

Example 1 — a first encounter with Neighborly polytope

Start with the simplest possible case. Write down what Neighborly polytope 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 Neighborly polytope 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 Neighborly polytope 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 Neighborly polytope

In research
Neighborly polytope 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 Neighborly polytope 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
Neighborly polytope is common in secondary-school and first-year university syllabi. It links to neighbouring topics Polyhedral combinatorics, so understanding it makes those chapters shorter.
In everyday life
Look for Neighborly polytope 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 Neighborly polytope in 20 minutes

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

Frequently asked questions

What is Neighborly polytope in simple terms?

In geometry and polyhedral combinatorics, a k-neighborly polytope is a convex polytope in which every set of k or fewer vertices forms a face. For instance, a 2-neighborly polytope is a polytope in which every pair of vertices is connected by an edge, forming a complete graph. 2-neighborly polytope…

Why does Neighborly polytope 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 Neighborly polytope?

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 Neighborly polytope.

Tags

  • Polyhedral combinatorics

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