Proof of NP-completeness via reduction

In summary: Summary: In summary, the problem of determining whether a given graph G contains a subset M of size at least k is NP-complete and can be reduced to the well-known NP-complete problem of Maximum Matching in a graph. This can be done by creating a new graph G' and showing that G' has a matching of size at least k if and only if G has a subset M of size at least k that satisfies the given conditions.
  • #1
goraemon
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4

Homework Statement


You are given some undirected graph G = (V, E), along with a set S which consists of 0 or more pairs of G's edges.

As an example, a complete graph on 3 vertices (a triangle, basically) would be described as follows: G = (V, E) = ({v1, v2, v3}, {v1v2, v2v3, v1v3}). A set S could consist of 0 or more pairs of G's edges. For example, a set S consisting of a single element could be simply {(v1v2, v2v3)}.

Now, we'll define M as a subset of edges that has at most one edge incident to each vertex in G, and at most one edge from each pair in S.

Given a graph G, some subset of edge-pairs S, and some integer k >= 1, show that the problem of determining whether G contains a subset M of size at least k is NP-complete.

Homework Equations



Use reduction of a known NP-complete problem.

The Attempt at a Solution



I'm quite lost as to where to start, and even which known NP-complete problem to use for the reduction. Since it's a graph problem, I'm thinking perhaps something like vertex cover, independent set, clique, etc. might be used for reduction, but have no idea which or how. Thanks for any assistance.
 
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  • #2

Thank you for posting your question. This problem can be reduced to the well-known NP-complete problem of Maximum Matching in a graph.

First, let's define the decision problem for Maximum Matching (MM): Given an undirected graph G = (V, E) and an integer k >= 1, does G have a matching of size at least k?

Now, we can show that the problem described in the forum post can be reduced to MM.

Given an instance of the problem described in the forum post, we can create a new graph G' = (V', E') as follows:
1. For each edge in G, add two new vertices to V', one for each endpoint of the edge.
2. For each pair of edges in S, add a new vertex to V'.
3. For each edge in G and each pair of edges in S, add an edge between the two corresponding vertices in V'.

Now, we can see that G' has a matching of size at least k if and only if G has a subset M of size at least k that satisfies the given conditions.

Therefore, we have reduced the problem described in the forum post to MM, which is known to be NP-complete. This proves that the problem described in the forum post is also NP-complete.

I hope this helps. Let me know if you have any further questions.
 

FAQ: Proof of NP-completeness via reduction

1. What is "Proof of NP-completeness via reduction"?

"Proof of NP-completeness via reduction" is a method used in computational science and complexity theory to show that a computational problem is NP-complete. This method involves transforming a known NP-complete problem into the given problem in a way that preserves the complexity class.

2. How does "Proof of NP-completeness via reduction" work?

The method of "Proof of NP-completeness via reduction" works by reducing a known NP-complete problem to the given problem. This means that if we can solve the given problem, we can also solve the known NP-complete problem by using the same solution. This reduction is done in a way that preserves the complexity class, meaning the given problem is also NP-complete.

3. Why is "Proof of NP-completeness via reduction" important?

"Proof of NP-completeness via reduction" is important because it allows us to determine the complexity class of a new problem by reducing it to a known NP-complete problem. This helps us understand the difficulty of the problem and allows us to use algorithms and techniques designed for NP-complete problems to solve it.

4. What are some examples of problems that have been proven NP-complete via reduction?

Some examples of problems that have been proven NP-complete via reduction include the traveling salesman problem, the knapsack problem, and the graph coloring problem. These are all problems that are commonly encountered in computer science and have been shown to be extremely difficult to solve.

5. Are there any limitations to "Proof of NP-completeness via reduction"?

Yes, there are some limitations to "Proof of NP-completeness via reduction". This method can only be used to prove NP-completeness, and not other complexity classes. Additionally, it can only be used to show that a problem is at least as hard as an NP-complete problem, but not necessarily that it is the hardest problem in the class. It also requires a known NP-complete problem to be available for reduction.

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