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Today, we will discuss regular graphs, specifically those where every vertex has the same degree. What do we define as a regular graph?
A regular graph is one in which each vertex has the same number of edges connected to it.
And if the degree is `r`, we call it an r-regular graph, right?
Exactly! So in our case, we're looking for a graph where the degree is `2k + 1`. Can anyone tell me how we might start constructing such a graph?
We could use bipartite graphs to help structure the connections.
Great suggestion! Remember, a bipartite graph is one with two sets of vertices and edges that only connect vertices from different sets.
Let's outline the construction. We'll use two complete bipartite graphs. First, we need two sets of `2k` nodes. Why do we have these two sets?
So that each vertex in one set can connect to every vertex in the other set.
Correct! Now after connecting these sets, we’ll introduce a cut edge to ensure the graph is disconnected upon its removal. Who can identify this cut edge in our construction?
It's the edge that directly connects the two complete bipartite graphs.
Exactly! This edge, once removed, will create disconnection between the two components.
Now, how can we confirm that the degree of each vertex is `2k + 1`?
Each vertex in one set connects to every vertex in the opposite set, giving them a degree of `2k`. Then, adding the cut edge brings it to `2k + 1`.
And we do the same for the other set of vertices, right?
Absolutely! This ensures that the degree condition is satisfied for all vertices.
To wrap up our session, can anyone summarize how we constructed our regular graph with a degree of `2k + 1`?
We used two complete bipartite graphs and connected each vertex across the partitions, ensuring to add a cut edge between them.
This also helped us meet the requirement for each vertex's degree, making sure they're `2k + 1`.
Perfect! Remember, understanding these properties not only helps with this problem but also with many applications in graph theory.
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In this section, we learn about constructing a regular graph with a specified degree 2k + 1
. The construction involves using complete bipartite graphs and ensures the inclusion of a cut edge. The unique construction method illustrates both the properties of regular graphs and the significance of cut edges.
In this section, we focus on constructing a simple regular graph such that the degree of every vertex is 2k + 1
, and the graph contains a cut edge. To achieve this, we begin by creating two copies of a complete bipartite graph, each with two partitions containing 2k
vertices. We connect these partitions with edges while designating certain vertices connected by a cut edge. This construction guarantees that each vertex in the graph maintains the intended degree while ensuring that there exists a cut edge in the graph. Overall, this method not only reinforces our understanding of regular graphs but also demonstrates the application of graph theory concepts in construction problems.
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A simple graph is called regular if the degree of every vertex is the same. And 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 is defined based on the degrees of its vertices. The degree of a vertex is the number of edges connected to it. In a regular graph, every vertex has the same degree, denoted as r. For example, in a 3-regular graph, every vertex is connected to exactly three edges.
Imagine a classroom with students (vertices) where each student knows exactly three other students (the edges). This scenario forms a 3-regular graph. If each student knew only two others, it would form a 2-regular graph.
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Here, 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.
The task involves creating a k-regular graph where each vertex has a degree of 2k + 1. This means each vertex is connected to 2k + 1 other vertices. The construction ensures that some edges act as cut edges, meaning if one of them is removed, the graph becomes disconnected.
Think of a social group where every person has 2k friends, plus 1 acquaintance outside their primary social circle. If you remove the acquaintance, it may cut off connections to a part of the group, thus 'cutting' the friendship network into parts.
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To construct the graph, we take two copies of a complete bipartite graph where I have 2k nodes in the individual sets in the bipartition.
We start by creating two copies of a complete bipartite graph. In each bipartite graph, we have two sets of nodes, each containing 2k nodes. Each node from one set connects to every node in the other set. This guarantees a dense interconnectedness within the individual sets.
Imagine two teams of players. Each player from Team A (2k players) knows or interacts with every player from Team B (another set of 2k players). This setup makes sure that everyone is well connected, representing our bipartite graph.
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To introduce a cut edge, I connect one new vertex to all vertices in one set of the bipartite graph.
A cut edge is added by linking a new vertex to all members of one set in the bipartite graph. This new vertex will have a degree of 2k + 1, as it connects to all 2k vertices in that set plus one extra edge to another vertex in the adjacent set.
Picture adding a new team leader who is involved with every team member but also has a connection to a member of another team. If the leader is removed, communication between these teams may break, signifying a cut edge.
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We ensure that every vertex in both sets has the degree of 2k + 1 by pairing them and adding edges between pairs.
To finalize the regularity of the graph, additional edges are added between pairs of nodes within each set. This ensures each node reaches the required degree, confirming every vertex meets the condition of being a regular graph.
Continuing with our team analogy, suppose after adding connections between all players, you also ensure that every player within each team knows two more teammates. This way, everyone has equal connections, fulfilling the regularity condition.
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Key Concepts
Regular Graph: A graph in which every vertex has the same degree.
Bipartite Graph: A graph that consists of two vertex sets with edges only connecting vertices from different sets.
Cut Edge: An edge whose removal disconnects the graph.
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A complete graph K4 where every vertex has a degree of 3 is a regular graph.
A bipartite graph with two sets of 3 vertices each is also a regular graph because vertices from one set connect to all from the other, establishing a consistent degree.
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A regular graph's a fair display, with all its nodes in the same ballet.
Imagine a dance floor divided into two groups of dancers. Only couples can dance together, but when one couple steps out, the dance floor feels empty. This couple represents the cut edge, while the dancers represent vertices connected in a bipartite graph.
RBC: Regular, Bipartite, Cut edge.
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Review the Definitions for terms.
Term: Regular Graph
Definition:
A graph where all vertices have the same degree.
Term: Bipartite Graph
Definition:
A graph that can be divided into two disjoint sets of vertices where edges only connect vertices from different sets.
Term: Cut Edge
Definition:
An edge which, when removed, increases the number of connected components of the graph.