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Two-graph

Two-graph 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 Two-graph rather than just read about it. In short: In mathematics, a two-graph is a set of unordered triples chosen from a finite vertex set X, such that every unordered quadruple from X contains an even number of triples of the two-graph. A regular two-graph has the property that every pair of vertices lies in the same number of triples of the two-graph.

Two-graph — main illustration
Two-graph — illustration

Key takeaways

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

Reference excerpt

In mathematics, a two-graph is a set of unordered triples chosen from a finite vertex set X, such that every unordered quadruple from X contains an even number of triples of the two-graph. A regular two-graph has the property that every pair of vertices lies in the same number of triples of the two-graph. Two-graphs have been studied because of their connection with equiangular lines and, for regular two-graphs, strongly regular graphs, and also finite groups because many regular two-graphs have interesting automorphism groups. A two-graph is not a graph and should not be confused with other objects called 2-graphs in graph theory, such as 2-regular graphs.

Examples On the set of vertices {1,...,6} the following collection of unordered triples is a two-graph:

123 124 135 146 156 236 245 256 345 346 This two-graph is a regular two-graph since each pair of distinct vertices appears together in exactly two triples. Given a simple graph G = (V,E), the set of triples of the vertex set V whose induced subgraph has an odd number of edges forms a two-graph on the set V. Every two-graph can be represented in this way. This example is referred to as the standard construction of a two-graph from a simple graph. As a more complex example, let T be a tree with edge set E. The set of all triples of E that are not contained in a path of T form a two-graph on the set E.

Switching and graphs

A two-graph is equivalent to a switching class of graphs and also to a (signed) switching class of signed complete graphs. Switching a set of vertices in a (simple) graph means reversing the adjacencies of each pair of vertices, one in the set and the other not in the set: thus the edge set is changed so that an adjacent pair becomes nonadjacent and a nonadjacent pair becomes adjacent. The edges whose endpoints are both in the set, or both not in the set, are not changed. Graphs are switching equivalent if one can be obtained from the other by switching. An equivalence class of graphs under switching is called a switching class. Switching was introduced by van Lint & Seidel (1966) and developed by Seidel; it has been called graph switching or Seidel switching, partly to distinguish it from switching of signed graphs. In the standard construction of a two-graph from a simple graph given above, two graphs will yield the same two-graph if and only if they are equivalent under switching, that is, they are in the same switching class. Let Γ be a two-graph on the set X. For any element x of X, define a graph with vertex set X having vertices y and z adjacent if and only if {x, y, z} is in Γ. In this graph, x will be an isolated vertex. This construction is reversible; given a simple graph G, adjoin a new element x to the set of vertices of G, retaining the same edge set, and apply the standard construction above. This two-graph is called the extension of G by x in design theoretic language. In a given switching class of graphs of a regular two-graph, let Γx be the unique graph having x as an isolated vertex (this always exists, just take any graph in the class and switch the open neighborhood of x) without the vertex x. That is, the two-graph is the extension of Γx by x. In the first example above of a regular two-graph, Γx is a 5-cycle for any choice of x. To a graph G there corresponds a signed complete graph Σ on the same vertex set, whose edges are signed negative if in G and positive if not in G. Conversely, G is the subgraph of Σ that consists of all vertices and all negative edges. The two-graph of G can also be defined as the set of triples of vertices that support a negative triangle (a triangle with an odd number of negative edges) in Σ. Two signed complete graphs yield the same two-graph if and only if they are equivalent under switching. Switching of G and of Σ are related: switching the same vertices in both yields a graph H and its corresponding signed complete graph.

Adjacency matrix The adjacency matrix of a two-graph is the adjacency matrix of the corresponding signed complete graph; thus it is symmetric, is zero on the diagonal, and has entries ±1 off the diagonal. If G is the graph corresponding to the signed complete graph Σ, this matrix is called the (0, −1, 1)-adjacency matrix or Seidel adjacency matrix of G. The Seidel matrix has zero entries on the main diagonal, −1 entries for adjacent vertices and +1 entries for non-adjacent vertices. If graphs G and H are in a same switching class, the multisets of eigenvalues of the two Seidel adjacency matrices of G and H coincide, since the matrices are similar. A two-graph on a set V is regular if and only if its adjacency matrix has just two distinct eigenvalues ρ1 > 0 > ρ2 say, where ρ1ρ2 = 1 − |V|.

Equiangular lines

Every two-graph is equivalent to a set of lines in some dimensional euclidean space each pair of which meet in the same angle. The set of lines constructed from a two graph on n vertices is obtained as follows. Let −ρ be the smallest eigenvalue of the Seidel adjacency matrix, A, of the two-graph, and suppose that it has multiplicity n − d. Then the matrix ρI + A is positive semi-definite of rank d and thus can be represented as the Gram matrix of the inner products of n vectors in euclidean d-space. As these vectors have the same norm (namely, ρ {\displaystyle {\sqrt {\rho }}} ) and mutual inner products ±1, any pair of the n lines spanned by them meet in the same angle φ where cos φ = 1/ρ. Conversely, any set of non-orthogonal equiangular lines in a euclidean space can give rise to a two-graph (see equiangular lines for the construction). With the notation as above, the maximum cardinality n satisfies n ≤ d(ρ2 − 1)/(ρ2 − d) and the bound is achieved if and only if the two-graph is regular.

Strongly regular graphs

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Two-graph

Start with the simplest possible case. Write down what Two-graph 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 Two-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 Two-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 Two-graph

In research
Two-graph 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 Two-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
Two-graph is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic graph theory, Extensions and generalizations of graphs, Families of sets, so understanding it makes those chapters shorter.
In everyday life
Look for Two-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 Two-graph in 20 minutes

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

Frequently asked questions

What is Two-graph in simple terms?

In mathematics, a two-graph is a set of unordered triples chosen from a finite vertex set X, such that every unordered quadruple from X contains an even number of triples of the two-graph. A regular two-graph has the property that every pair of vertices lies in the same number of triples of the two…

Why does Two-graph 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 Two-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 Two-graph.

Tags

  • Algebraic graph theory
  • Extensions and generalizations of graphs
  • Families of sets

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