Search the courses, subjects, tracks, games and features, or jump straight to a page.
Learn it your way
A short class with Sarah and her students. The other ways are under More.
Sign up free to listen. Transcripts are free to read.
Today we're going to talk about how to construct a simple graph based on parameters for vertex connectivity, edge connectivity, and minimum degree.
What do you mean by vertex connectivity and edge connectivity?
Great question! Vertex connectivity is the minimum number of vertices that need to be removed to disconnect the graph, whereas edge connectivity is about the edges. It's the minimum number of edges required to disconnect the graph.
So, how do we actually construct the graph with those parameters l, m, and n?
We'll use two complete graphs with n+1 vertices. This helps us ensure that the minimum degree condition is met.
What about the relationships between l, m, and n?
Exactly! Remember that vertex connectivity should be less than or equal to edge connectivity, which in turn should be less than or equal to the minimum degree. This is crucial for our construction.
Could you give us an example?
Sure! If we take l = 3, m = 4, and n = 5, we can construct the vertices accordingly. We will take three vertices from the first complete graph and four from the second.
To summarize, we designed our graph structure using two complete subgraphs to satisfy connectivity requirements.
Now that we have our vertices selected, let’s discuss how to add edges to ensure vertex and edge connectivity.
How do we add these edges?
We need to add m edges between the selected vertices from both graphs. This ensures they are all connected appropriately.
What if we don’t connect them correctly?
If added incorrectly, connectivity might not be achieved. It’s crucial that each selected vertex from the first graph connects with the ones from the second to maintain the required connectivity.
So basically each vertex needs to connect as an endpoint for the edges we add?
Exactly! Once these edges are correctly added, you ensure the entire graph stays connected as required.
What should we keep in mind for vertex and edge connectivity?
Not to forget that removing the vertices or edges must lead to the graph's disconnection. That’s how we validate our connectivity conditions.
In summary, we focus on creating connections between selected vertices to fulfill our connectivity requirements.
Now that our graph is constructed, let’s verify its properties: vertex connectivity, edge connectivity, and minimum degree.
How do we check connectivity?
Good question! For vertex connectivity, if we remove the l vertices, the graph should become disconnected.
And for edge connectivity?
The same logic applies — removing m edges should also disconnect the graph. We can visually observe this on our constructed graph.
Doesn’t minimum degree come into play here too?
Absolutely! Each vertex must maintain at least n edges, ensuring that the minimum degree is preserved.
So reviewing these properties ensures our graph meets the problem's conditions?
Exactly! This wrap-up helps us ensure thorough understanding and application of our concepts.
In summary, we discussed the verification of graph properties to confirm that they meet our initial requirements.
In graphs we find, to stay combined, remove less not more, but seek to explore.
Imagine building a treehouse; first, you make strong connections (edges) between sturdy branches (vertices) to keep your treehouse standing tall against the wind!
VEM: Vertex, Edge, Minimum Degree - Remember these three key elements when building a graph!
VERM: Vertex Edge Resize Minimum - Always check the values before you graph!
Term
What is vertex connectivity?
Click to flip
Term
What is edge connectivity?
Click to flip
The minimum number of vertices that need to be removed to disconnect the graph.
The minimum number of edges that need to be removed to disconnect the graph.
The least number of edges incident to any vertex in the graph.
A graph that does not contain loops or multiple edges between any two vertices.
A graph in which each pair of vertices is connected by a unique edge.
This section presents a construction of a simple graph based on given parameters related to vertex and edge connectivity, and minimum degree.
In this section, we construct a simple graph using three positive integers l, m, and n to define vertex connectivity, edge connectivity, and minimum degree respectively. The relationship between these parameters is emphasized, leading to the construction of a graph that meets these inequalities.
In this section, we explore the construction of a simple graph that satisfies specific connectivity requirements defined by three integers l, m, and n. The parameters represent vertex connectivity (l), edge connectivity (m), and minimum degree (n) respectively. The key relationships between these values are outlined, specifically that vertex connectivity is less than or equal to edge connectivity and the latter is less than or equal to the minimum degree. To build the desired graph, two complete graphs with n+1 vertices are utilized. By selecting l nodes from the first graph and m nodes from the second graph, additional edges are incorporated to secure the required connectivity conditions. This method highlights a systematic approach in graph theory to satisfy specific connectivity criteria, employing both abstract concepts and practical construction.