Definitions Flashcards

1
Q

Neighbour set

A

For any vertex v in V(G), the neighbour set of v, by N(v), is the set of all vertices, except for v itself, that are adjacent to v.

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2
Q

Simple graphs

A

A graph is called a simple graph if it does not contain multiple
edges between the same pair of vertices nor loops (i.e., edges from and to
the same vertex).

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3
Q

Degree of vertex

A

the number of edges of

G incident to v, and it is denoted by δ(v). Here, loops are counted twice

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4
Q

Handshaking lemma

A

In any graph G, we have:
∑v∈V (G) δ(v) = 2|E(G)|.
aka: the sum of vertices’s degrees in V(G) is equal to two times the size of E(G)

(Here, |E(G)| is the size of E(G).)

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5
Q

Degree sequence

A

a list of the degrees of the
vertices of G. The sequence is ordered if the numbers are in non-decreasing
order.

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6
Q

Graphic degree sequence

A

A sequence of numbers is called graphic if it is the degree sequence of a simple graph.

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7
Q

Subgraph

A
Given a graph G, a graph H is a subgraph of G if V (H) ⊆V (G)
and E(H) ⊆E(G).
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8
Q

Subgraph induced by vertex subset

A

Given a graph G and a subset of its vertices, V ∗ ⊆V (G), the
subgraph induced by V ∗ has vertex set V ∗ and edge set
{〈u,v〉∈E(G) | u,v ∈V ∗}. The subgraph induced by V ∗ is denoted by
G[V ∗].

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9
Q

Subgraph induced by edge subset

A

Given a graph G and a subset of its edges, E∗ ⊆E(G), the
subgraph induced by E∗ has edge set E∗ and vertex set
{u,v ∈V (G) | 〈u,v〉∈E∗}. The subgraph induced by V ∗ is denoted by
G[E∗].

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10
Q

Graph isomorphism

A

Graphs G1 and G2 are called isomorphic if there is a one-to-one
mapping φ : V (G1) →V (G2) such that:- For each edge 〈u,v〉∈E(G1), there’s an edge 〈φ(u),φ(v)〉∈E(G2) and
vice versa. (We call φ(u) and φ(v) the corresponding vertices of u and v in
G2.)

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11
Q

Walk

A

a walk is a sequence of vertices and edges such that ei = [vi-1,vi] is an edge in G, for all i = 1,2,…,k

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12
Q

Path

A

a path is a walk but over distinct vertices

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13
Q

Cycle

A

is a path of at least 3 edges

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14
Q

Connectivity

A

two vertices are connected if there exists a path. additionally, a graph is connected if all pairs of vertices are connected

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15
Q

Component

A

a connected subgraph which is not strictly contained in another connected subgraph

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16
Q

Vertex cut

A

removing the vertices V* and their edges will make the graph disconnected

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17
Q

Edge cut

A

removing edges E* from the graph makes it disconnected

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18
Q

Kappa

A

minimum number of vertices to remove to disconnected G

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19
Q

Lambda

A

minimum number of edges we need to remove to disconnect the graph

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20
Q

Simple Complete Graph

A

n > 2 vertices denoted by Kn, if the degree of each vertex is exactly n-1

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21
Q

r-Connectivity

A

if kappa g is >= r

22
Q

Harary graph

A

Hr,n is a r-connected graph with n vertices and a minimum number of edges

23
Q

Vertex-independent

A

if any two paths in a set of paths from a simple graph have v(sigma 1) AND v(sigma 2) = u,v

24
Q

Edge-independent

A

if for any two paths in a set of paths in a simple graph have e(sigma 1) and E(sigma 2) = empty set

25
Q

Bipartite graph

A

if V(G) = v1 OR v2 such that
v1 and v2 is an empty set
+ every element in E(G) is in u,v where u is in V1 and v in V2

26
Q

Ranked embedding

A
27
Q

Planar graph

A
28
Q

Directed graph

A
29
Q

Indegree & outdegree

A
30
Q

Adjacency-list (digraphs)

A
31
Q

Adjacency-matrix (digraphs)

A
32
Q

Walk (digraphs)

A
33
Q

Path (digraphs)

A
34
Q

Directed cycle

A
35
Q

Connected

A
36
Q

Strongly connected

A
37
Q

Reachable vertices

A
38
Q

Orientation

A
39
Q

Edge coloring

A
40
Q

r-edge colorable

A
41
Q

r-vertex colorable

A
42
Q

Closed walk

A
43
Q

Tour & trail

A
44
Q

Euler tour

A
45
Q

Fleury’s algorithm

A
46
Q

Hierholzer’s algorithm

A
47
Q

Weighted / edge-weighted

A
48
Q

Chinese Postman problem

A
49
Q

Algorithm for the Chinese Postman problem

A
50
Q

Hamilton cycle

A
51
Q

Posa’s algorithm

A