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The kSPANNING TREE problem is the following.Input: An undirected graph G=(V,E) Output: A spanning tree of G in which each node has degree k, if such a tree exists.Show that for any k2:

  1. k SPANNING TREE is a search problem.
  2. k SPANNING TREE is NP-complete. (Hint: Start with k=2 and consider the relation between this problem and RUDRATA PATH.)

Short Answer

Expert verified

1.k SPANNING TREE is a search problem for any k2.

2.kSPANNING TREE is NP-complete.

Step by step solution

01

Explain Spanning tree

Consider that the spanning tree is a subset of a Graph G that covers all of the vertices with the fewest number of edges feasible. It can be deduced from this definition that every linked and undirected Graph Gcontains at least one spanning tree

02

To prove that k−  SPANNING TREE is a search problem

Consider the given input and output with k2.

Here, it is important to demonstrate that given a solution S to the spanning tree problem that can be checked in polynomial time whether it is in fact a k-spanning tree. This comments to verifying that every node in the original graph is used in S such that S have no cycle because it is a tree.

Every node in the tree has a maximum degree k . All of these can be checked efficiently and therefore the k spanning tree is a search problem.

Therefore, it can be concluded that for k2, the kspanning tree is a search problem.

03

To prove that k -SPANNING TREE is NP-Complete problem

Any of a class of computer problems for which no efficient solution algorithm has been developed is known as an NP-complete issue.From part (a) it is known that the kspanning tree is in NP.

In the Rudrata path algorithm, assume G is an unweighted undirected graph. Add weights equal to 1 on every edge of G while executing the Rudrata path algorithm with k=2 .It is observed that a tree that has each vertex with a degree at most 2 is a path. Hence, there is no path without loops that reaches all the vertices so there will be no Rudrata path.

Therefore, it can be concluded that the Rudrata path is reduced to a kspanning tree along with the fact that the kspanning tree is in NP.

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