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Show that a degree-constrained spanning tree of a simple graph in which each vertex has degree not exceeding 2 consists of a single Hamilton path in the graph.

Short Answer

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Therefore, the given statement is true. Constrained degree spanning tree of a simple graph in which each vertex has degree not exceeding 2 consists of a single Hamilton path in the graph.

Step by step solution

01

General form

Definition of tree:A tree is a connected undirected graph with no simple circuits.

Definition of Hamilton Path:A simple path in a graph G that passes through every vertex exactly once is called a Hamilton path.

Degree-constrained spanning tree (Definition): A degree-constrained spanning tree of a simple graph G is a spanning tree with the property that the degree of a vertex in this tree cannot exceed some specified bound. Constrained degree spanning trees are useful in models of transportation systems where the number of roads at an intersection is limited, in models of communication networks where the number of connections entering a node is limited, and so on.

02

Proof of the given statement

Given that, a degree-constrained spanning tree.

Let us take degree-constrained spanning tree as G. And the vertices in G all have a degree of at most 2.

To prove: G consists of a Hamilton path.

As all vertices have a degree of at most 2 and since G is connected, the tree must be a path.

Since this path also passes through every vertex in the tree exactly once which as the tree only contains this path, the path is also a Hamilton path.

Hence it is proved that G consists of a Hamilton path.

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Most popular questions from this chapter

Draw a game tree for him if the starting position consists of three piles with one, two, and three stones, respectively. When drawing the tree represent by the same vertex symmetric positions that result from the same move. Find the value of each vertex of the game tree. Who wins the game if both players follow an optimal strategy?

In this exercise we will develop an algorithm to find the strong components of a directed graph \({\bf{G = }}\left( {{\bf{V,E}}} \right)\). Recall that a vertex \({\bf{w}} \in {\bf{V}}\) is reachable from a vertex \({\bf{v}} \in {\bf{V}}\) if there is a directed path from v to w.

  1. Explain how to use breadth-first search in the directed graph G to find all the vertices reachable from a vertex \({\bf{v}} \in {\bf{G}}\).
  2. Explain how to use breadth-first search in \({{\bf{G}}^{{\bf{conv}}}}\) to find all the vertices from which a vertex \({\bf{v}} \in {\bf{G}}\) is reachable. (Recall that \({{\bf{G}}^{{\bf{conv}}}}\) is the directed graph obtained from G by reversing the direction of all its edges.)
  3. Explain how to use part (a) and (b) to construct an algorithm that finds the strong components of a directed graph G, and explain why your algorithm is correct.

Show that every tree is bipartite.

Show that if \(G\) is a weighted graph with distinct edgeweights, then for every simple circuit of \(G\), the edge of maximum weight in this circuit does not belong to anyminimum spanning tree of \(G\).

a. Explain how backtracking can be used to determine whether a simple graph can be colored using \(n\) colors.

b. Show, with an example, how backtracking can be used to show that a graph with a chromatic number equal to \({\bf{4}}\) cannot be colored with three colors, but can be colored with four colors.

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