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Mixed graph

Mixed graph 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 Mixed graph rather than just read about it. In short: In graph theory, a mixed graph G = (V, E, A) is a graph consisting of a set of vertices V, a set of (undirected) edges E, and a set of directed edges (or arcs) A. Definitions and notation Consider adjacent vertices u , v ∈ V {\displaystyle u,v\in V} .

Mixed graph — main illustration
Mixed graph — illustration

Key takeaways

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

Reference excerpt

In graph theory, a mixed graph G = (V, E, A) is a graph consisting of a set of vertices V, a set of (undirected) edges E, and a set of directed edges (or arcs) A.

Definitions and notation

Consider adjacent vertices u , v ∈ V {\displaystyle u,v\in V} . A directed edge, called an arc, is an edge with an orientation and can be denoted as u v → {\displaystyle {\overrightarrow {uv}}} or ( u , v ) {\displaystyle (u,v)} (note that u {\displaystyle u} is the tail and v {\displaystyle v} is the head of the arc). Also, an undirected edge, or edge, is an edge with no orientation and can be denoted as u v {\displaystyle uv} or [ u , v ] {\displaystyle [u,v]} . For the purpose of our example we will not be considering loops or multiple edges of mixed graphs. A walk in a mixed graph is a sequence v 0 , c 1 , v 1 , c 2 , v 2 , … , c k , v k {\displaystyle v_{0},c_{1},v_{1},c_{2},v_{2},\dots ,c_{k},v_{k}} of vertices and edges/arcs such that for every index i {\displaystyle i} , either c i = v i v i + 1 {\displaystyle c_{i}=v_{i}v_{i+1}} is an edge of the graph or c i = v i v i + 1 → {\displaystyle c_{i}={\overrightarrow {v_{i}v_{i+1}}}} is an arc of the graph. This walk is a path if it does not repeat any edges, arcs, or vertices, except possibly the first and last vertices. A walk is closed if its first and last vertices are the same, and a closed path is a cycle. A mixed graph is acyclic if it does not contain a cycle.

Coloring

Mixed graph coloring can be thought of as labeling or an assignment of k different colors (where k is a positive integer) to the vertices of a mixed graph. Different colors must be assigned to vertices that are connected by an edge. The colors may be represented by the numbers from 1 to k, and for a directed arc, the tail of the arc must be colored by a smaller number than the head of the arc.

Example For example, consider the figure to the right. Our available k-colors to color our mixed graph are {1, 2, 3}. Since u and v are connected by an edge, they must receive different colors or labelings (u and v are labelled 1 and 2, respectively). We also have an arc from v to w. Since orientation assigns an ordering, we must label the tail (v) with a smaller color (or integer from our set) than the head (w) of our arc.

Strong and weak coloring A (strong) proper k-coloring of a mixed graph is a function c : V → [k] where [k] := {1, 2, …, k} such that c(u) ≠ c(v) if uv ∈ E and c(u) < c(v) if u v → ∈ A {\displaystyle {\overrightarrow {uv}}\in A} . A weaker condition on our arcs can be applied and we can consider a weak proper k-coloring of a mixed graph to be a function c : V → [k] where [k] := {1, 2, …, k} such that c(u) ≠ c(v) if uv ∈ E and c(u) ≤ c(v) if u v → ∈ A {\displaystyle {\overrightarrow {uv}}\in A} . Referring back to our example, this means that we can label both the head and tail of (v,w) with the positive integer 2.

Counting A coloring may or may not exist for a mixed graph. In order for a mixed graph to have a k-coloring, the graph cannot contain any directed cycles. If such a k-coloring exists, then we refer to the smallest k needed in order to properly color our graph as the chromatic number, denoted by χ(G). The number of proper k-colorings is a polynomial function of k called the chromatic polynomial of our graph G (by analogy with the chromatic polynomial of undirected graphs) and can be denoted by χG(k).

Computing weak chromatic polynomials The deletion–contraction method can be used to compute weak chromatic polynomials of mixed graphs. This method involves deleting (i.e., removing) an edge or arc and possibly joining the remaining vertices incident to that edge or arc to form one vertex. After deleting an edge e from a mixed graph G = (V, E, A) we obtain the mixed graph (V, E – e, A). We denote this deletion of the edge e by G – e. Similarly, by deleting an arc a from a mixed graph, we obtain (V, E, A – a) where we denote the deletion of a by G – a. Also, we denote the contraction of e and a by G/e and G/a, respectively. From Propositions given in Beck et al. we obtain the following equations to compute the chromatic polynomial of a mixed graph:

… excerpt ends here. Continue reading the full article.

Illustrations

Mixed graph: Example of a mixed graph
Example of a mixed graph

Worked examples

Example 1 — a first encounter with Mixed graph

Start with the simplest possible case. Write down what Mixed graph 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 Mixed 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 Mixed 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 Mixed graph

In research
Mixed graph 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 Mixed 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
Mixed graph 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 Mixed 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 Mixed graph in 20 minutes

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

Frequently asked questions

What is Mixed graph in simple terms?

In graph theory, a mixed graph G = (V, E, A) is a graph consisting of a set of vertices V, a set of (undirected) edges E, and a set of directed edges (or arcs) A. Definitions and notation Consider adjacent vertices u , v ∈ V {\displaystyle u,v\in V} .

Why does Mixed graph 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 Mixed 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 Mixed graph.

Tags

  • Extensions and generalizations of graphs

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