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Incidence coloring

Incidence coloring 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 Incidence coloring rather than just read about it. In short: In graph theory, the act of coloring generally implies the assignment of labels to vertices, edges or faces in a graph. The incidence coloring is a special graph labeling where each incidence of an edge with a vertex is assigned a color under certain constraints.

Incidence coloring — main illustration
Incidence coloring — illustration

Key takeaways

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

Reference excerpt

In graph theory, the act of coloring generally implies the assignment of labels to vertices, edges or faces in a graph. The incidence coloring is a special graph labeling where each incidence of an edge with a vertex is assigned a color under certain constraints.

Definitions Below G denotes a simple graph with non-empty vertex set (non-empty) V(G), edge set E(G) and maximum degree Δ(G). Definition. An incidence is defined as a pair (v, e) where v ∈ V ( G ) {\displaystyle v\in V(G)} is an end point of e ∈ E ( G ) . {\displaystyle e\in E(G).} In simple words, one says that vertex v is incident to edge e. Two incidences (v, e) and (u, f) are said to be adjacent or neighboring if one of the following holds:

v = u, e ≠ f e = f, v ≠ u e = {v, u}, f = {u, w} and v ≠ w.

Definition. Let I(G) be the set of all incidences of G. An incidence coloring of G is a function c : I ( G ) → N {\displaystyle c:I(G)\to \mathbb {N} } that takes distinct values on adjacent incidences (we use the simplified notation c(v, u) is used instead of c((v, e)).) The minimum number of colors needed for the incidence coloring of a graph G is known as the incidence chromatic number or incidence coloring number of G, represented by χ i ( G ) . {\displaystyle \chi _{i}(G).} This notation was introduced by Jennifer J. Quinn Massey and Richard A. Brualdi in 1993.

History The concept of incidence coloring was introduced by Brualdi and Massey in 1993 who bounded it in terms of Δ(G). Initially, the incidence chromatic number of trees, complete bipartite graphs and complete graphs was found out. They also conjectured that all graphs can have an incidence coloring using Δ(G) + 2 colors (Incidence coloring conjecture - ICC). This conjecture was disproved by Guiduli, who showed that incidence coloring concept is a directed star arboricity case, introduced by Alon and Algor. His counter example showed that incidence chromatic number is at most Δ(G) + O(log Δ(G)). Chen et al. found the incidence chromatic number of paths, fans, cycles, wheels, complete tripartite graph and adding edge wheels. Few years later, Shiu et al. showed that this conjecture is true for certain cubic graphs such as cubic Hamiltonian graphs. He showed that in case of outerplanar graph of maximum degree 4, the incidence chromatic number is not 5. The bounds for incidence chromatic number of various graph classes is found out now.

Basic results Proposition. χ i ( G ) ≥ Δ ( G ) + 1. {\displaystyle \chi _{i}(G)\geq \Delta (G)+1.}

Proof. Let v be the vertex with maximum degree Δ in G. Let e 1 , e 2 , … , e Δ {\displaystyle e_{1},e_{2},\ldots ,e_{\Delta }} be the edges that are incident with the vertex v. Consider e 1 = { v , w } . {\displaystyle e_{1}=\{v,w\}.} We can see that every pair of Δ + 1 incidences, that is, ( v , e 1 ) , ( v , e 2 ) , … , ( v , e Δ ) , ( w , e 1 ) {\displaystyle (v,e_{1}),(v,e_{2}),\ldots ,(v,e_{\Delta }),(w,e_{1})} is neighborly. Therefore, these incidences have to be colored using distinct colors. The bound is attained by trees and complete graphs:

If G is a complete graph with at least two vertices then χ i ( G ) = Δ ( G ) + 1. {\displaystyle \chi _{i}(G)=\Delta (G)+1.}

If G is a tree with at least two vertices then χ i ( G ) = Δ ( G ) + 1. {\displaystyle \chi _{i}(G)=\Delta (G)+1.}

The main results were proved by Brualdi and Massey (1993). Shiu, Sun and Wu have proposed certain necessary conditions for graph satisfying χ i ( G ) = Δ ( G ) + 1. {\displaystyle \chi _{i}(G)=\Delta (G)+1.}

χ i ( G ) ≤ 2 Δ ( G ) . {\displaystyle \chi _{i}(G)\leq 2\Delta (G).}

The incidence chromatic number of the complete bipartite graph K m , n {\displaystyle K_{m,n}} with m ≥ n ≥ 2, is m + 2.

χ i ( C n ) ≤ 4 {\displaystyle \chi _{i}(C_{n})\leq 4} and χ i ( C 3 n ) = 3. {\displaystyle \chi _{i}(C_{3n})=3.}

… excerpt ends here. Continue reading the full article.

Illustrations

Incidence coloring: Incidence coloring of a Petersen graph
Incidence coloring of a Petersen graph

Worked examples

Example 1 — a first encounter with Incidence coloring

Start with the simplest possible case. Write down what Incidence coloring 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 Incidence coloring 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 Incidence coloring 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 Incidence coloring

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

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

Frequently asked questions

What is Incidence coloring in simple terms?

In graph theory, the act of coloring generally implies the assignment of labels to vertices, edges or faces in a graph. The incidence coloring is a special graph labeling where each incidence of an edge with a vertex is assigned a color under certain constraints.

Why does Incidence coloring 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 Incidence coloring?

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 Incidence coloring.

Tags

  • Graph coloring

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