Can Every Graph Guarantee a Minimum Matching Size?

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SUMMARY

The discussion centers on proving that every graph G without isolated vertices has a matching of size at least n(G)/(1+∆(G)), where n(G) represents the size of the vertex set and ∆(G) is the maximum degree of any vertex in G. Participants explore the base case of the proof, demonstrating that if every edge is incident to a vertex of degree 1, then a matching can be formed. The conversation emphasizes using induction on the number of edges, e(G), to extend the proof from k edges to k+1 edges, while clarifying the definitions of n(G) and ∆(G).

PREREQUISITES
  • Understanding of graph theory concepts, specifically matchings and vertex degrees.
  • Familiarity with mathematical induction techniques.
  • Knowledge of graph notation, including n(G) and ∆(G).
  • Ability to analyze and construct proofs in combinatorial mathematics.
NEXT STEPS
  • Study the principles of mathematical induction in depth.
  • Learn about matchings in bipartite and non-bipartite graphs.
  • Explore the implications of maximum degree on graph properties.
  • Investigate related theorems in graph theory, such as Hall's Marriage Theorem.
USEFUL FOR

Mathematicians, computer scientists, and students studying graph theory, particularly those interested in combinatorial optimization and proof techniques.

tarheelborn
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Homework Statement



Prove that every graph G without isolated vertices has a matching of size at least n(G)/(1+∆(G)). (Hint: Apply induction on e(G)).


Homework Equations



n(G) = size of the vertex set of G and ∆(G)= maximum degree of v in G

The Attempt at a Solution



For the base case, let every edge of G be incident to a vertex with degree = 1. Then each component of G has, at most, one vertex with degree > 1 which implies that each component is a star. A matching can be formed by using one edge from each component. The number of components is n(G)/∆(G)+1 since each component has 1 + dG(v)
vertices.

Now suppose the hypothesis is true for G with k edges and consider a graph H with k+1 edges. Then ∆(G) would have to be k, right? And then apply the IH?
 
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tarheelborn said:

Homework Statement



Prove that every graph G without isolated vertices has a matching of size at least n(G)/(1+∆(G)). (Hint: Apply induction on e(G)).


Homework Equations



n(G) = size of the vertex set of G and ∆(G)= maximum degree of v in G

The Attempt at a Solution



For the base case, let every edge of G be incident to a vertex with degree = 1. Then each component of G has, at most, one vertex with degree > 1 which implies that each component is a star. A matching can be formed by using one edge from each component. The number of components is n(G)/∆(G)+1 since each component has 1 + dG(v)
vertices.

Now suppose the hypothesis is true for G with k edges and consider a graph H with k+1 edges. Then ∆(G) would have to be k, right? And then apply the IH?

I'm assuming by ##e(G)## you mean the number of edges in ##G##.

Also, you stated this :

##∆G##= maximum degree of ##v## in ##G##

I'm pretty sure you mean the maximum degree of the graph.

For the base case, assume ##e(G) = 1##. You have 2 nodes, so the maximum degree of either node is 1. What else can you conclude?
 
Yes, you are absolutely right. It has been a VERY long day.

Following what you said re the base case, we can say that G has a match of size at least 2/(1+1) = 1, which is clear. Now we could suppose that the theorem holds for all graphs with k or fewer edges and consider a graph with k+1 edges. If we have this k+1-edge graph and delete one of the edges, then we could apply the IH. I am just not sure how to get there from here.
 
tarheelborn said:
Yes, you are absolutely right. It has been a VERY long day.

Following what you said re the base case, we can say that G has a match of size at least 2/(1+1) = 1, which is clear. Now we could suppose that the theorem holds for all graphs with k or fewer edges and consider a graph with k+1 edges. If we have this k+1-edge graph and delete one of the edges, then we could apply the IH. I am just not sure how to get there from here.

You're assuming none of the nodes on the graph are isolated. So when you say ##k+1## edges, it's not as if that condition is changing.
 
But no node is isolated by the hypothesis. I'm not sure what you mean about k+1 edges not changing since k is variable. I am simply not seeing this at all...
 
tarheelborn said:
But no node is isolated by the hypothesis. I'm not sure what you mean about k+1 edges not changing since k is variable. I am simply not seeing this at all...

Your induction assumption would be to assume the hypothesis holds for ##e(G) = k##. Stop for a moment and visualize how many nodes there would be on this graph because it will be helpful in the next step.

Now show it holds for ##e(G) = k+1##.

Hint: An edge can have how many nodes attached?
 
Last edited:

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