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List coloring

List 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 List coloring rather than just read about it. In short: In graph theory, a branch of mathematics, list coloring is a type of graph coloring where each vertex can be restricted to a list of allowed colors. It was first studied in the 1970s in independent papers by Vizing and by Erdős, Rubin, and Taylor.

List coloring — main illustration
List coloring — illustration

Key takeaways

  • List 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 List coloring to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of List coloring from memory before moving on to harder problems.

Reference excerpt

In graph theory, a branch of mathematics, list coloring is a type of graph coloring where each vertex can be restricted to a list of allowed colors. It was first studied in the 1970s in independent papers by Vizing and by Erdős, Rubin, and Taylor.

Definition Given a graph G and given a set L(v) of colors for each vertex v (called a list), a list coloring is a choice function that maps every vertex v to a color in the list L(v). As with graph coloring, a list coloring is generally assumed to be proper, meaning no two adjacent vertices receive the same color. A graph is k-choosable (or k-list-colorable) if it has a proper list coloring no matter how one assigns a list of k colors to each vertex. The choosability (or list colorability or list chromatic number) ch(G) of a graph G is the least number k such that G is k-choosable. More generally, for a function f assigning a positive integer f(v) to each vertex v, a graph G is f-choosable (or f-list-colorable) if it has a list coloring no matter how one assigns a list of f(v) colors to each vertex v. In particular, if f(v) = k for all vertices v, f-choosability corresponds to k-choosability.

Examples Consider the complete bipartite graph G = K2,4, having six vertices A, B, W, X, Y, Z such that A and B are each connected to all of W, X, Y, and Z, and no other vertices are connected. As a bipartite graph, G has usual chromatic number 2: one may color A and B in one color and W, X, Y, Z in another and no two adjacent vertices will have the same color. On the other hand, G has list-chromatic number larger than 2, as the following construction shows: assign to A and B the lists {red, blue} and {green, black}. Assign to the other four vertices the lists {red, green}, {red, black}, {blue, green}, and {blue, black}. No matter which choice one makes of a color from the list of A and a color from the list of B, there will be some other vertex such that both of its choices are already used to color its neighbors. Thus, G is not 2-choosable. On the other hand, it is easy to see that G is 3-choosable: picking arbitrary colors for the vertices A and B leaves at least one available color for each of the remaining vertices, and these colors may be chosen arbitrarily.

More generally, let q be a positive integer, and let G be the complete bipartite graph Kq,qq. Let the available colors be represented by the q2 different two-digit numbers in radix q. On one side of the bipartition, let the q vertices be given sets of colors {i0, i1, i2, ...} in which the first digits are equal to each other, for each of the q possible choices of the first digit i. On the other side of the bipartition, let the qq vertices be given sets of colors {0a, 1b, 2c, ...} in which the first digits are all distinct, for each of the qq possible choices of the q-tuple (a, b, c, ...). The illustration shows a larger example of the same construction, with q = 3. Then, G does not have a list coloring for L: no matter what set of colors is chosen for the vertices on the small side of the bipartition, this choice will conflict with all of the colors for one of the vertices on the other side of the bipartition. For instance if the vertex with color set {00,01} is colored 01, and the vertex with color set {10,11} is colored 10, then the vertex with color set {01,10} cannot be colored. Therefore, the list chromatic number of G is at least q + 1. Similarly, if n = ( 2 k − 1 k ) , {\displaystyle n={\tbinom {2k-1}{k}},} then the complete bipartite graph Kn,n is not k-choosable. For, suppose that 2k − 1 colors are available in total, and that, on a single side of the bipartition, each vertex has available to it a different k-tuple of these colors than each other vertex. Then, each side of the bipartition must use at least k colors, because every set of k − 1 colors will be disjoint from the list of one vertex. Since at least k colors are used on one side and at least k are used on the other, there must be one color which is used on both sides, but this implies that two adjacent vertices have the same color. In particular, the utility graph K3,3 has list-chromatic number at least three, and the graph K10,10 has list-chromatic number at least four.

Properties For a graph G, let χ(G) denote the chromatic number and Δ(G) the maximum degree of G. The list coloring number ch(G) satisfies the following properties.

ch(G) ≥ χ(G). A k-list-colorable graph must in particular have a list coloring when every vertex is assigned the same list of k colors, which corresponds to a usual k-coloring. ch(G) cannot be bounded in terms of chromatic number in general, that is, there is no function f such that ch(G) ≤ f(χ(G)) holds for every graph G. In particular, as the complete bipartite graph examples show, there exist graphs with χ(G) = 2 but with ch(G) arbitrarily large. ch(G) ≤ χ(G) ln(n) where n is the number of vertices of G. ch(G) ≤ Δ(G) + 1. ch(G) ≤ 5 if G is a planar graph. ch(G) ≤ 3 if G is a bipartite planar graph.

Computing choosability and (a, b)-choosability Two algorithmic problems have been considered in the literature:

k-choosability: decide whether a given graph is k-choosable for a given k, and (a, b)-choosability: decide whether a given graph is f-choosable for a given function f : V → { a , … , b } {\displaystyle f:V\to \{a,\dots ,b\}} . It is known that k-choosability in bipartite graphs is Π 2 p {\displaystyle \Pi _{2}^{p}} -complete for any k ≥ 3, and the same applies for 4-choosability in planar graphs, 3-choosability in planar triangle-free graphs, and (2, 3)-choosability in bipartite planar graphs. For P5-free graphs, that is, graphs excluding a 5-vertex path graph, k-choosability is fixed-parameter tractable.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with List coloring

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

In research
List 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 List 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
List 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 List 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 List coloring in 20 minutes

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

Frequently asked questions

What is List coloring in simple terms?

In graph theory, a branch of mathematics, list coloring is a type of graph coloring where each vertex can be restricted to a list of allowed colors. It was first studied in the 1970s in independent papers by Vizing and by Erdős, Rubin, and Taylor.

Why does List 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 List 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 List coloring.

Tags

  • Graph coloring

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