Proving |V(G)|-1 <= |E(G)| for Connected Graphs: Graph Theory Homework Statement

In summary, it can be shown that for any connected graph, the number of vertices minus one is less than or equal to the number of edges. This can be proven by considering a longest path in the graph and constructing the rest of the graph with a minimum number of edges, which will always result in at least one edge per added vertex. Additionally, an example can be used to show that this upper bound cannot be exceeded for all connected graphs.
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Homework Statement


Show that for any connected graph we have the |V(G)|-1 <= |E(G)|

The Attempt at a Solution



There exists a longest path in the connected graph, call H. It has |E(H)|+1>=|V(H)|. For the other parts of the graph, in order to minimise the number of edges we have all other branches out of this longest path has number of edges equaling number of vertices (any less edges and we have an isolated vertex) hence a connected graph with minimum number of edges must have |V(G)|-1 <= |E(G)|
 
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Have you considered induction?

I'm trying to visually see a connected graph. Say you have 6 vertices (a,b,c,d,e,f), since it it connected, you can "construct it" by say write a on the paper, then write b and put an edge. then write c, and put an edge from either a to c or b to c, and so on.. the one thing that remains invariant is that you need *at least* one edge for each vertex that you add.

I'm sure there might be a more "applied way" like consider connected graph v = {a,b}, e = {(a,b)}, then |v|= 2 and |e| = 1, so |v|-1=|e| this shows that you cannot have |v|-1>|e| "for all connected graphs" since that would contradict your example. Now you have an upper bound. But I don't know where to go from there..
 

1. What does |V(G)|-1 <= |E(G)| mean?

The notation |V(G)|-1 <= |E(G)| is a mathematical way of expressing the relationship between the number of vertices (V) and edges (E) in a connected graph (G). It means that the number of vertices in the graph must be at least one less than the number of edges for the graph to be considered connected.

2. How do you prove |V(G)|-1 <= |E(G)| for connected graphs?

To prove |V(G)|-1 <= |E(G)| for connected graphs, you can use a proof by contradiction. Assume that the inequality is not true, and then show that this leads to a contradiction. Another approach is to use a direct proof by showing that for every possible connected graph, the inequality holds true.

3. What is a connected graph?

A connected graph is a graph in which there is a path between any two vertices. This means that all vertices in the graph are somehow connected to each other, either directly or through a series of edges and vertices.

4. How is the concept of connected graphs related to graph theory?

Connected graphs are an important concept in graph theory as they help to determine the properties and behavior of graphs. Understanding connected graphs is essential in various applications of graph theory, such as in network analysis, data structures, and optimization problems.

5. Can |V(G)|-1 <= |E(G)| be true for disconnected graphs?

No, |V(G)|-1 <= |E(G)| is only true for connected graphs. For disconnected graphs, the number of edges can be greater or equal to the number of vertices, depending on the structure of the disconnected components. In a disconnected graph, there can be multiple subgraphs that are not connected to each other, resulting in a higher number of edges compared to vertices.

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