## Graph |

Definition: A directed graph is a pair `G` = (`V`, `E`) where `V` is a finite set of vertices and `E` `V` × `V` a relation on `V`, the set of edges.

Representation of graphs: The vertices are drawn as points, the edges as arrows, where an arrow is drawn from vertex `u` `V` to vertex `v` `V` if (`u`, `v`) `E`.

Example: `G`_{1} = (`V`, `E`) with `V` = {0, 1, 2, 3, 4} and `E` = {(0,1), (0,2), (3,0), (2,0), (1,2)}

| |

Figure 1: Representation of graph G_{1} | |

Definition: Let `G` = (`V`, `E`) be a graph and `u` `V` be a vertex. A vertex `v` `V` is called adjacent to `u`, if there exists an edge from `u` to `v`, i.e. if (`u`, `v`) `E`.

The out-degree `o`(`u`) of a vertex `u` is the number of vertices `v` adjacent to `u`, i.e.

`o`(`u`) = | { `v` | (`u`, `v`) `E` } |

The in-degree `i`(`u`) of a vertex `u` is the number of vertices `v` it is adjacent to, i.e.

`i`(`u`) = | { `v` | (`v`, `u`) `E` } |

A vertex `u` is isolated if `o`(`u`) = `i`(`u`) = 0.

Example: In `G`_{1} vertex 0 is adjacent to vertex 3; vertex 2 has out-degree 1 and in-degree 2. Vertex 4 is isolated.

Definition: A walk in a graph is a finite sequence of edges

`p` = (`u`_{0}, `v`_{0}) ... (`u`_{m-1}, `v`_{m-1})

with `m` _{0} and `v`_{i-1} = `u`_{i} for all `i` {1, ..., `m`-1}.

`m` is the length of the walk. The walk of length 0 is called the empty walk. Vertex `u`_{0} is called start vertex of `p`, vertex `v`_{m-1} is called end vertex of `p`. All other vertices of `p` are called inner vertices of `p`.

Example:

`p`_{1} = (3,0) (0,2) (2,0) (0,2)

`p`_{2} = (0,1) (1,2) (2,0)

`p`_{3} = (3,0)

`p`_{4} = (3,0) (0,1) (1,2) (2,0)

are walks in the above graph `G`_{1}.

Walk `p`_{1} has a length of 4, walk `p`_{3} has length 1. In walk `p`_{2} vertex 0 is start and end vertex. In `p`_{4} vertex 0 is inner vertex and end vertex.

Definition: Let `p` = (`u`_{0}, `v`_{0}) ... (`u`_{m-1}, `v`_{m-1}) be a walk in a graph `G`.

`p`is a trail if it contains each edge at most once, i.e. if all (`u`_{i},`v`_{i}) are different (`i`= 0, ...,`m`-1);`p`is called a circuit if it is closed, i.e. if`v`_{m-1}=`u`_{0};`p`is a path, if it contains each vertex at most once, i.e. if all`u`_{i}among each other and all`v`_{j}among each other are different (`i`,`j`= 0, ...,`m`-1);`p`is a cycle, if it is a closed path, i.e. if it is a circuit with no repetitions of vertices.

Example: In `G`_{1} walk `p`_{1} is not a trail since it contains edge (0,2) more than once. Walk `p`_{4} is a trail but no path since it visits vertex 0 more than once. Walk `p`_{2} is a circuit and even a cycle.

Definition: A directed graph `T` = (`V`, `E`) is a tree if

- it contains no cycles,
- there is exactly one vertex
`r`with in-degree 0, the root of the tree, and - all other vertices have in-degree 1.

Definition: Let `T` be a tree with root `r`. A vertex `v` is called a direct descendant of a vertex `u`, if it is adjacent to `u`, i.e. if there is an edge from `u` to `v`. A vertex `w` is a descendant of `u`, if there is a non-empty path from `u` to `w`.

A vertex `b` is a leaf if it has no descendants; all other vertices are inner vertices of `T`.

The depth `d`(`v`) of a vertex `v` is the length of the path from the root `r` to `v`. The depth `d`(`T`) of the tree is the maximum depth of all vertices.

Definition: A tree `T` is a binary tree if each vertex has an out-degree of at most 2.

A binary tree is called almost complete if

- all vertices of depth <
`d`(`T`)-1 have out-degree 2, and - at most one vertex has out-degree 1.

An almost complete binary tree `T` with `n` vertices has depth `d`(`T`) = int(log(`n`)).

| |

Figure 2: Almost complete binary tree with 12 vertices | |

H.W. Lang Hochschule Flensburg lang@hs-flensburg.de Impressum Datenschutz © Created: 17.03.2000 Updated: 04.06.2018 |