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Graph labeling

Graph labeling 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 Graph labeling rather than just read about it. In short: In the mathematical discipline of graph theory, a graph labeling is the assignment of labels, traditionally represented by integers, to edges and/or vertices of a graph. Formally, given a graph G = (V, E), a vertex labeling is a function of V to a set of labels; a graph with such a function defined is called a vertex-labeled graph.

Graph labeling — main illustration
Graph labeling — illustration

Key takeaways

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

Reference excerpt

In the mathematical discipline of graph theory, a graph labeling is the assignment of labels, traditionally represented by integers, to edges and/or vertices of a graph. Formally, given a graph G = (V, E), a vertex labeling is a function of V to a set of labels; a graph with such a function defined is called a vertex-labeled graph. Likewise, an edge labeling is a function of E to a set of labels. In this case, the graph is called an edge-labeled graph. When the edge labels are members of an ordered set (e.g., the real numbers), it may be called a weighted graph. When used without qualification, the term labeled graph generally refers to a vertex-labeled graph with all labels distinct. Such a graph may equivalently be labeled by the consecutive integers { 1, …, |V| } , where |V| is the number of vertices in the graph. For many applications, the edges or vertices are given labels that are meaningful in the associated domain. For example, the edges may be assigned weights representing the "cost" of traversing between the incident vertices. In the above definition a graph is understood to be a finite undirected simple graph. However, the notion of labeling may be applied to all extensions and generalizations of graphs. For example, in automata theory and formal language theory it is convenient to consider labeled multigraphs, i.e., a pair of vertices may be connected by several labeled edges.

History Most graph labelings trace their origins to labelings presented by Alexander Rosa in his 1967 paper. Rosa identified three types of labelings, which he called α-, β-, and ρ-labelings. β-labelings were later renamed as "graceful" by Solomon Golomb, and the name has been popular since.

Special cases

Graceful labeling

A graph is known as graceful if its vertices are labeled from 0 to |E|, the size of the graph, and if this vertex labeling induces an edge labeling from 1 to |E|. For any edge e, the label of e is the positive difference between the labels of the two vertices incident with e. In other words, if e is incident with vertices labeled i and j, then e will be labeled |i − j|. Thus, a graph G = (V, E) is graceful if and only if there exists an injection from V to {0, ..., |E|} that induces a bijection from E to {1, ..., |E|}. In his original paper, Rosa proved that all Eulerian graphs with size equivalent to 1 or 2 (mod 4) are not graceful. Whether or not certain families of graphs are graceful is an area of graph theory under extensive study. Arguably, the largest unproven conjecture in graph labeling is the Ringel–Kotzig conjecture, which hypothesizes that all trees are graceful. This has been proven for all paths, caterpillars, and many other infinite families of trees. Anton Kotzig himself has called the effort to prove the conjecture a "disease".

Edge-graceful labeling

An edge-graceful labeling on a simple graph without loops or multiple edges on p vertices and q edges is a labeling of the edges by distinct integers in {1, …, q} such that the labeling on the vertices induced by labeling a vertex with the sum of the incident edges taken modulo p assigns all values from 0 to p − 1 to the vertices. A graph G is said to be "edge-graceful" if it admits an edge-graceful labeling. Edge-graceful labelings were first introduced by Sheng-Ping Lo in 1985. A necessary condition for a graph to be edge-graceful is "Lo's condition":

q ( q + 1 ) = p ( p − 1 ) 2 mod p . {\displaystyle q(q+1)={\frac {p(p-1)}{2}}\mod p.}

Harmonious labeling A "harmonious labeling" on a graph G is an injection from the vertices of G to the group of integers modulo k, where k is the number of edges of G, that induces a bijection between the edges of G and the numbers modulo k by taking the edge label for an edge (x, y) to be the sum of the labels of the two vertices x, y (mod k). A "harmonious graph" is one that has a harmonious labeling. Odd cycles are harmonious, as are Petersen graphs. It is conjectured that trees are all harmonious if one vertex label is allowed to be reused. The seven-page book graph K1,7 × K2 provides an example of a graph that is not harmonious.

Graph coloring

A graph coloring is a subclass of graph labelings. Vertex colorings assign different labels to adjacent vertices, while edge colorings assign different labels to adjacent edges.

Lucky labeling A lucky labeling of a graph G is an assignment of positive integers to the vertices of G such that if S(v) denotes the sum of the labels on the neighbors of v, then S is a vertex coloring of G. The "lucky number" of G is the least k such that G has a lucky labeling with the integers {1, …, k}.

Antimagic labeling An antimagic labeling of a graph G is a one-to-one assignment of the positive integers {1,..., |E|} to the edges of G such that all induced vertex weights are distinct, where the weight of a vertex is the sum of the labels on all edges incident to it.

Magic labeling A (distance) magic labeling of a graph G is a one-to-one assignment of the positive integers {1,..., |V|} to the vertices of G such that all vertex weights are equal to some positive integer k. The weight of a vertex is the sum of the labels of all vertices adjacent to it. Such a constant k, if it exists, is called magic constant of a graph.

References

Worked examples

Example 1 — a first encounter with Graph labeling

Start with the simplest possible case. Write down what Graph labeling 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 Graph labeling 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 Graph labeling 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 Graph labeling

In research
Graph labeling 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 Graph labeling 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
Graph labeling 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 Graph labeling 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 Graph labeling in 20 minutes

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

Frequently asked questions

What is Graph labeling in simple terms?

In the mathematical discipline of graph theory, a graph labeling is the assignment of labels, traditionally represented by integers, to edges and/or vertices of a graph. Formally, given a graph G = (V, E), a vertex labeling is a function of V to a set of labels; a graph with such a function defined…

Why does Graph labeling 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 Graph labeling?

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 Graph labeling.

Tags

  • Extensions and generalizations of graphs

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