Graph theory: quick question(s)

In summary, a subgraph is a smaller graph that can contain any combination of vertices and edges from the original graph, while an induced subgraph must contain a specific set of vertices and all of the corresponding edges from the original graph. A spanning subgraph contains all the vertices of the original graph, and an independent set is a set of vertices in a graph that do not share any edges. The independence number of a graph is the size of the largest independent set it contains.
  • #1
JaeSun
37
0
what's the difference between a subgraph and an induced subgraph?

looking here:

http://mathworld.wolfram.com/InducedSubgraph.html

how is the figure K8 ? isn't that K10 ??

also, what is a spanning subgraph?
 
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  • #2
That's K10.

If there is an edge in a graph between two vertices in an induced subgraph, then that edge must be in the induced subgraph as well. If you start with a graph and delete only vertices (as well as any edges that share an end with a deleted vertex), you get an induced subgraph. You can also think of this as the maximal subgraph (in the sense of it's edges) containing a given vertex set. A plain old subgraph has no such restrictions on it's edges. If you look at that K10 example, the subgraph consisting of the vertices {1, 2, 3, 5, 7, 10} and NO edges is a subgraph, but not an induced subgraph.

A spanning subgraph contains all the vertices of your original graph.

Something for you to think about-what can you say about an induced subgraph that is a spanning subgraph as well?
 
  • #3
oh ok, so a subgraph can contain no edges ... but that is not induced...in order to be induced, it has to be of the original vertex set with edges (that belonged to the edge set of the original graph) ?

Something for you to think about-what can you say about an induced subgraph that is a spanning subgraph as well?

its not a complete graph?
 
  • #4
another question.

what is the independent number/set ?

http://mathworld.wolfram.com/IndependentSet.html

looking at that, and a problem from my homework which the answer is 4:

http://www.nevada.edu/%7Ebaragar/courses/MAT351ex2sample.pdf

problem # 1b finding the independence number

is the independence set = {b, d, g, f}

??

and that is how the answer is 4?
 
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  • #5
JaeSun said:
its not a complete graph?

The only spanning induced subgraph of a graph G is G itself.


Take a subset of vertices of a graph. Look at the corresponding induced subgraph. If it contains no edges, your vertices are independant. If it contains any edges, they are not independant.

To show the independant number of the graph in your homework is 4 you can do two things:

Find an independant set of four vertices, this should be easy.

Next show that every set containing 5 vertices must have an edge between 2 of the vertices. For a hint, can the vertex c be in an independant set with 5 vertices?
 
  • #6
"in order to be induced, it has to be of the original vertex set with edges (that belonged to the edge set of the original graph)?"

I don't think this is right. You don't need all the vertices from the original graph, just if you take some subest of vertices, you have to include all of the edges that are incident to the nodes.
 

1. What is Graph theory?

Graph theory is a branch of mathematics that deals with the study of graphs, which are mathematical structures used to model relationships between objects.

2. What are some real-life applications of Graph theory?

Graph theory has numerous applications in various fields, such as computer science, social sciences, biology, and transportation systems. Some examples include network analysis, route optimization, social network analysis, and circuit design.

3. What are the basic concepts in Graph theory?

The basic concepts in Graph theory include vertices (or nodes), edges, degree (the number of edges connected to a vertex), paths, cycles, and connectivity. These concepts are used to study the properties and characteristics of a graph.

4. How is Graph theory used in computer science?

Graph theory is used in computer science to model and analyze data structures, such as trees and networks. It is also used in algorithms for tasks such as shortest path finding, network flow, and graph coloring.

5. What are the different types of graphs in Graph theory?

The main types of graphs in Graph theory are directed graphs (where edges have a specific direction), undirected graphs (where edges have no specific direction), weighted graphs (where edges have a weight or value), and bipartite graphs (where the vertices can be divided into two disjoint sets).

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