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Multigraph

Multigraph is a biology 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 Multigraph rather than just read about it. In short: In mathematics, and more specifically in graph theory, a multigraph is a graph which is permitted to have multiple edges (also called parallel edges), that is, edges that have the same end nodes. Thus two vertices may be connected by more than one edge.

Multigraph — main illustration
Multigraph — illustration

Key takeaways

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

Reference excerpt

In mathematics, and more specifically in graph theory, a multigraph is a graph which is permitted to have multiple edges (also called parallel edges), that is, edges that have the same end nodes. Thus two vertices may be connected by more than one edge. There are 2 distinct notions of multiple edges:

Edges without own identity: The identity of an edge is defined solely by the two nodes it connects. In this case, the term "multiple edges" means that the same edge can occur several times between these two nodes. Edges with own identity: Edges are primitive entities just like nodes. When multiple edges connect two nodes, these are different edges. A multigraph is different from a hypergraph, which is a graph in which an edge can connect any number of nodes, not just two. For some authors, the terms pseudograph and multigraph are synonymous. For others, a pseudograph is a multigraph that is permitted to have loops.

Undirected multigraph (edges without own identity) A multigraph G is an ordered pair G := (V, E) with

V a set of vertices or nodes, E a multiset of unordered pairs of vertices, called edges or lines.

Undirected multigraph (edges with own identity) A multigraph G is an ordered triple G := (V, E, r) with

V a set of vertices or nodes, E a set of edges or lines, r : E → {{x,y} : x, y ∈ V}, assigning to each edge an unordered pair of endpoint nodes. Some authors allow multigraphs to have loops, that is, an edge that connects a vertex to itself, while others call these pseudographs, reserving the term multigraph for the case with no loops.

Directed multigraph (edges without own identity) A multidigraph is a directed graph which is permitted to have multiple arcs, i.e., arcs with the same source and target nodes. A multidigraph G is an ordered pair G := (V, A) with

V a set of vertices or nodes, A a multiset of ordered pairs of vertices called directed edges, arcs or arrows. A mixed multigraph G := (V, E, A) may be defined in the same way as a mixed graph.

Directed multigraph (edges with own identity) A multidigraph or quiver G is an ordered 4-tuple G := (V, A, s, t) with

V a set of vertices or nodes, A a set of edges or lines,

s : A → V {\displaystyle s:A\rightarrow V} , assigning to each edge its source node,

t : A → V {\displaystyle t:A\rightarrow V} , assigning to each edge its target node. This notion might be used to model the possible flight connections offered by an airline. In this case the multigraph would be a directed graph with pairs of directed parallel edges connecting cities to show that it is possible to fly both to and from these locations. In category theory a small category can be defined as a multidigraph (with edges having their own identity) equipped with an associative composition law and a distinguished self-loop at each vertex serving as the left and right identity for composition. For this reason, in category theory the term graph is standardly taken to mean "multidigraph", and the underlying multidigraph of a category is called its underlying digraph.

Labeling Multigraphs and multidigraphs also support the notion of graph labeling, in a similar way. However, there is no unity in terminology in this case. The definitions of labeled multigraphs and labeled multidigraphs are similar, and we define only the latter ones here. Definition 1: A labeled multidigraph is a labeled graph with labeled arcs. Formally: A labeled multidigraph G is a multigraph with labeled vertices and arcs. Formally it is an 8-tuple G = ( Σ V , Σ A , V , A , s , t , ℓ V , ℓ A ) {\displaystyle G=(\Sigma _{V},\Sigma _{A},V,A,s,t,\ell _{V},\ell _{A})} where

V {\displaystyle V} is a set of vertices and A {\displaystyle A} is a set of arcs.

Σ V {\displaystyle \Sigma _{V}} and Σ A {\displaystyle \Sigma _{A}} are finite alphabets of the available vertex and arc labels,

s : A → V {\displaystyle s\colon A\rightarrow \ V} and t : A → V {\displaystyle t\colon A\rightarrow \ V} are two maps indicating the source and target vertex of an arc,

ℓ V : V → Σ V {\displaystyle \ell _{V}\colon V\rightarrow \Sigma _{V}} and ℓ A : A → Σ A {\displaystyle \ell _{A}\colon A\rightarrow \Sigma _{A}} are two maps describing the labeling of the vertices and arcs. Definition 2: A labeled multidigraph is a labeled graph with multiple labeled arcs, i.e. arcs with the same end vertices and the same arc label (note that this notion of a labeled graph is different from the notion given by the article graph labeling).

See also Multidimensional network Glossary of graph theory terms Graph theory

Notes

… excerpt ends here. Continue reading the full article.

Illustrations

Multigraph: A multigraph with multiple edges (red) and several loops (blue). Not all authors allow multigraphs to have loops.
A multigraph with multiple edges (red) and several loops (blue). Not all authors allow multigraphs to have loops.

Worked examples

Example 1 — a first encounter with Multigraph

Start with the simplest possible case. Write down what Multigraph claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Multigraph 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 Multigraph 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 Multigraph

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

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

Frequently asked questions

What is Multigraph in simple terms?

In mathematics, and more specifically in graph theory, a multigraph is a graph which is permitted to have multiple edges (also called parallel edges), that is, edges that have the same end nodes. Thus two vertices may be connected by more than one edge.

Why does Multigraph matter?

Because it connects several biology 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 Multigraph?

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 Multigraph.

Tags

  • Extensions and generalizations of graphs

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