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Schläfli graph

Schläfli graph 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 Schläfli graph rather than just read about it. In short: In the mathematical field of graph theory, the Schläfli graph, named after Ludwig Schläfli, is a 16-regular undirected graph with 27 vertices and 216 edges. It is a strongly regular graph with parameters srg(27, 16, 10, 8).

Schläfli graph — main illustration
Schläfli graph — illustration

Key takeaways

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

Reference excerpt

In the mathematical field of graph theory, the Schläfli graph, named after Ludwig Schläfli, is a 16-regular undirected graph with 27 vertices and 216 edges. It is a strongly regular graph with parameters srg(27, 16, 10, 8).

Construction

The intersection graph of the 27 lines on a cubic surface is a locally linear graph that is the complement of the Schläfli graph. That is, two vertices are adjacent in the Schläfli graph if and only if the corresponding pair of lines are skew. The Schläfli graph may also be constructed from the system of eight-dimensional vectors

(1, 0, 0, 0, 0, 0, 1, 0), (1, 0, 0, 0, 0, 0, 0, 1), and (−1/2, −1/2, 1/2, 1/2, 1/2, 1/2, 1/2, 1/2), and the 24 other vectors obtained by permuting the first six coordinates of these three vectors. These 27 vectors correspond to the vertices of the Schläfli graph; two vertices are adjacent if and only if the corresponding two vectors have 1 as their inner product. Alternately, this graph can be seen as the complement of the collinearity graph of the generalized quadrangle GQ(2, 4).

Subgraphs and neighborhoods The neighborhood of any vertex in the Schläfli graph forms a 16-vertex subgraph in which each vertex has 10 neighbors (the numbers 16 and 10 coming from the parameters of the Schläfli graph as a strongly regular graph). These subgraphs are all isomorphic to the complement graph of the Clebsch graph. Since the Clebsch graph is triangle-free, the Schläfli graph is claw-free. It plays an important role in the structure theory for claw-free graphs by Chudnovsky & Seymour (2005). Any two skew lines of these 27 belong to a unique Schläfli double six configuration, a set of 12 lines whose intersection graph is a crown graph in which the two lines have disjoint neighborhoods. Correspondingly, in the Schläfli graph, each edge uv belongs uniquely to a subgraph in the form of a Cartesian product of complete graphs K6 ◻ {\displaystyle \square } K2 in such a way that u and v belong to different K6 subgraphs of the product. The Schläfli graph has a total of 36 subgraphs of this form, one of which consists of the zero-one vectors in the eight-dimensional representation described above.

Ultrahomogeneity A graph is defined to be k-ultrahomogeneous if every isomorphism between two of its induced subgraphs of at most k vertices can be extended to an automorphism of the whole graph. If a graph is 5-ultrahomogeneous, it is ultrahomogeneous for every k; the only finite connected graphs of this type are complete graphs, Turán graphs, 3 × 3 rook's graphs, and the 5-cycle. The infinite Rado graph is countably ultrahomogeneous. There are only two connected graphs that are 4-ultrahomogeneous but not 5-ultrahomogeneous: the Schläfli graph and its complement. The proof relies on the classification of finite simple groups.

See also Gosset graph – contains the Schläfli graph as an induced subgraph of the neighborhood of any vertex

Notes

References Buczak, J. M. J. (1980), Finite Group Theory, D.Phil. thesis, University of Oxford. As cited by Devillers (2002). Bussemaker, F. C.; Neumaier, A. (1992), "Exceptional graphs with smallest eigenvalue-2 and related problems", Mathematics of Computation, 59 (200): 583–608, Bibcode:1992MaCom..59..583B, doi:10.1090/S0025-5718-1992-1134718-6. Cameron, Peter Jephson (1980), "6-transitive graphs", Journal of Combinatorial Theory, Series B, 28 (2): 168–179, doi:10.1016/0095-8956(80)90063-5. As cited by Devillers (2002). Cameron, Peter Jephson; van Lint, Jacobus Hendricus (1991), Designs, graphs, codes and their links, London Mathematical Society student texts, vol. 22, Cambridge University Press, p. 35, ISBN 978-0-521-41325-1. Chudnovsky, Maria; Seymour, Paul (2005), "The structure of claw-free graphs", Surveys in combinatorics 2005 (PDF), London Math. Soc. Lecture Note Ser., vol. 327, Cambridge: Cambridge Univ. Press, pp. 153–171, MR 2187738, archived from the original (PDF) on 2010-06-09, retrieved 2010-07-30. Devillers, Alice (2002), Classification of some homogeneous and ultrahomogeneous structures, Ph.D. thesis, Université Libre de Bruxelles. Holton, D. A.; Sheehan, J. (1993), The Petersen Graph, Cambridge University Press, pp. 270–271.

External links Weisstein, Eric W. "Schläfli Graph". MathWorld. Andries E. Brouwer page.

Illustrations

Schläfli graph illustration
Schläfli graph: The Schläfli graph is seen as a 1-skeleton of the 221 polytope. This symmetric projection contains 2 rings of 12 vertices, and 3 vertices coinciding at the center.
The Schläfli graph is seen as a 1-skeleton of the 221 polytope. This symmetric projection contains 2 rings of 12 vertices, and 3 vertices coinciding at the center.

Worked examples

Example 1 — a first encounter with Schläfli graph

Start with the simplest possible case. Write down what Schläfli graph 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 Schläfli graph 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 Schläfli graph 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 Schläfli graph

In research
Schläfli graph 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 Schläfli graph 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
Schläfli graph is common in secondary-school and first-year university syllabi. It links to neighbouring topics Individual graphs, Regular graphs, Strongly regular graphs, so understanding it makes those chapters shorter.
In everyday life
Look for Schläfli graph 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 Schläfli graph in 20 minutes

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

Frequently asked questions

What is Schläfli graph in simple terms?

In the mathematical field of graph theory, the Schläfli graph, named after Ludwig Schläfli, is a 16-regular undirected graph with 27 vertices and 216 edges. It is a strongly regular graph with parameters srg(27, 16, 10, 8).

Why does Schläfli graph 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 Schläfli graph?

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 Schläfli graph.

Tags

  • Individual graphs
  • Regular graphs
  • Strongly regular graphs

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