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Today, we're discussing regular graphs. A simple graph is classified as regular if all vertices have the same degree. Can anyone tell me what we mean when we use the term 'degree' in graph theory?
I think the degree of a vertex is the number of edges connected to it.
Absolutely correct! And if all vertices share the same degree *r*, we call it an r-regular graph. For example, the complete graph K_n with n vertices is n-1 regular because each vertex connects to every other vertex. Can someone give me another example of a regular graph?
Maybe the cycle graph?
Yes, perfect! A cycle graph has a degree of 2 for each vertex. Remember this: K_n means 'complete', and cycle graphs are shaped like loops.
Now that we understand regular graphs, let’s look at some examples. We’ve mentioned complete graphs and cycle graphs. What about the wheel graph? Anyone know its characteristics?
The wheel graph has a central node connected to outer nodes, right? I think it’s not regular because the center has more connections.
Exactly! The center node has a degree significantly higher than the others, making it irregular. To remember: if a graph has a 'hub' that impacts the rest, it's likely non-regular. Would anyone like to recapitulate what makes a graph regular?
All vertices must have the same degree!
Next, let’s construct a graph. If we're tasked with creating a simple regular graph where each vertex has a degree of *2k + 1*, how might we start?
Could we use bipartite graphs?
Good thinking! Using complete bipartite graphs and combining them can work. Let’s say we have two partitions of 2k nodes each. By connecting each node in one partition to the other, we can ensure each has a degree of 2k.
But how do we ensure they each have a degree of *2k + 1*?
Great question! We add additional edges from a special vertex, linking it to every node in at least one of the partitions. This creates the needed degree. Remember: custom edges can adjust degrees!
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In this section, the definition of regular graphs is explained, along with examples such as complete graphs, cycle graphs, and non-regular graphs like wheel graphs. The focus extends to constructing a regular graph with specific degrees and cut edges.
A regular graph is defined as a simple graph where every vertex has the same degree. If this common degree is denoted as r, the graph is referred to as an r-regular graph. Key examples include:
- Complete Graph (K_n): A complete graph with n nodes is n-1 regular because each node connects to every other node.
- Cycle Graph: In a cycle graph with n nodes, every vertex has exactly 2 connections (degree 2), hence it is also regular.
- Wheel Graph (W_n): Contrary to K_n and cycle graphs, the wheel graph is not regular due to the high degree of the central node compared to the others.
Additionally, instructional content includes how to construct a simple regular graph with a degree of 2k + 1 that has a cut edge, emphasizing the versatility of these graphs in various applications.
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A simple graph is called regular if the degree of every vertex is the same. If the degree of every vertex in a simple graph is some value r, then we call such a graph an r-regular graph.
A regular graph has the same number of edges connected to each vertex. This 'degree' of a vertex simply tells us how many connections (or edges) it has to other vertices. If every vertex connects to the same number 'r' of other vertices, we call this an 'r-regular graph.' For example, if a graph has 4 vertices and each vertex connects to 2 other vertices, we say it is a 2-regular graph. This property is important for studying the behavior of networks and understanding their structure.
Imagine a group of friends where every friend has exactly the same number of friends in the group. If each person has 3 friends, then the group can be represented by a 3-regular graph. This is similar to clubs where each member is equally connected to every other member.
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So K is a regular graph because the complete graph with n nodes in such a graph the degree of every vertex is n - 1, so it is regular. The cycle graph with n nodes is also regular because if you take the degree of every vertex, it will be 2. But your wheel graph W is not a regular graph, because it is the central node which has a huge degree compared to the other vertices of the graph.
K represents the complete graph where every vertex is connected to all others, giving it a degree of (n - 1) for each vertex. The cycle graph is regular because each vertex connects to exactly two others. In contrast, the wheel graph shows irregularity; the central hub (or vertex) is connected to every outer vertex, making its degree larger than the others, thus not maintaining uniformity in vertex degree.
Think of a circle of friends (cycle graph) where each friend connects to two others, resulting in a balanced friendship. In contrast, consider a manager (central vertex in the wheel) who is friends with every employee (outer vertices), making their connections disproportionate — this reflects the irregularity in the wheel graph.
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Now what we have to do in question 8 is the following; You are given a value of k. You have to draw a simple regular graph where the degree of every vertex is 2 times k + 1 such that the graph has a cut edge.
Here, you need to use the value 'k' to define a regular graph where each vertex connects to 2k + 1 others. To assure there are cut edges (which are edges that, if removed, increase the number of components in the graph), you will need to set up your graph carefully and ensure that it is structured in a way that supports this requirement. This involves ensuring that certain connections can be severed, leading to two or more disjoint sections of the graph.
Imagine a network of roads in a town where every intersection (vertex) has the same number of roads leading to it based on a parameter 'k'. If some key roads connecting different neighborhoods are removed, it must not be possible to travel between certain areas. This scenario resembles a cut edge in graph theory where the graph's structure significantly changes upon removing specific connections.
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Key Concepts
Regular Graph: Defined as graphs where all vertices have the same degree.
Degrees of Vertices: Important for identifying the nature (regular vs. irregular) of a graph.
Types of Regular Graphs: Include complete graphs and cycle graphs; some like wheel graphs are not regular.
Constructing Regular Graphs: Involves strategic addition of edges to meet specific degree requirements.
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A complete graph K3 is 2-regular as each vertex connects to two others.
A cycle graph with 4 vertices forms a square, with degrees of 2 at each vertex.
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In a graph that’s regular, all degrees the same, that makes it special, it's part of the game.
Imagine a town where every person knows exactly 3 others. They live in a regular, friendly neighborhood wherein all buildings have connections planned equally.
KCC - K for Complete, C for Cycle, C for Cut edges to remember types of graphs.
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Review the Definitions for terms.
Term: Regular Graph
Definition:
A graph in which all vertices have the same degree.
Term: Degree
Definition:
The number of edges incident to a vertex.
Term: Complete Graph
Definition:
A graph where every pair of distinct vertices is connected by a unique edge.
Term: Cycle Graph
Definition:
A graph that consists of a single cycle, where each vertex has degree 2.
Term: Wheel Graph
Definition:
A graph resembling a wheel, with one central node connected to all outer nodes.
Term: Bipartite Graph
Definition:
A graph whose vertices can be divided into two disjoint sets such that every edge connects a vertex from one set to the other.