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Here's a proposal for how to find the length of the shortest cycle in an undirected graph with unit edge lengths. When a back edge, say (v,w), is encountered during a depth-first search, it forms a cycle with the tree edges from wtov. The length of the cyclelevel[v]-level[w+1] is where the level of a vertex is its distance in the DFS tree from the root vertex. This suggests the following algorithm:

• Do a depth-first search, keeping track of the level of each vertex.

• Each time a back edge is encountered, compute the cycle length and save it if it is smaller than the shortest one previously seen. Show that this strategy does not always work by providing a counterexample as well as a brief (one or two sentence) explanation.

Short Answer

Expert verified

The given strategy fails when the shortest cycle consists of more than the one back edge.

Step by step solution

01

Define graphs

A graph consists of nodes and edges. These nodes are also known as vertices. In undirected graphs, the nodes are connected by bidirectional edges. On the other hand, a directed graph is one in which all of the edges point in some particular direction.

02

Determine a counter example where the given strategy fails

The node's level is equal to its distance of the node from the root node. If there are more than one back edges in the shortest cycle, the given strategy to find the shortest cycle in an undirected graph fails. Consider the following graph:

The above diagram illustrates an undirected graph. In this undirected graph, the shortest cycle would be 1→4→5→1. But the given algorithm would detect 1→2→3→4→1.

Hence, it can be concluded that the given strategy fails when the shortest cycle consists of more than one back edge.

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Most popular questions from this chapter

Question: Prove that for the array prev computed by Dijkstra's algorithm, the edges {u,prepu}(forall∈v)form a tree.

You are given a directed graph with (possibly negative) weighted edges, in which the shortest path between any two vertices is guaranteed to have at most edges. Give an algorithm that finds the shortest path between two vertices u and v in O(KE)time.

You are given a directed graph G(V,E)with (possibly negative) weighted edges, along with a specific node s∈Vand a tree T=(V,E'),E'⊂E. Give an algorithm that checks whether T is a shortest-path tree for G with starting point s . Your algorithm should run in linear time.

In cases where there are several different shortest paths between two nodes (and edges have varying length),the most convenient of these paths is often the one with fewest edges. Forinstance, if nodes represent cities and edge lengths represent costs of flying between cities, theremight be many ways to get from cityto city t which all have the same cost. The mostconvenientof these alternatives is the one which involves the fewest stopovers. Accordingly, for a specific starting node S , define

bestu=minimum number of edges in a shortest path from S to u .

In the example below, thebestvalues for nodes S,A,B,C,D,E,Fare 0,1,1,1,2,2,3, respectively.

Give an efficient algorithm for the following problem.

Input:Graph G=V,E; positive edge lengths le; starting node s∈V.

Output: The values of bestu should be set for all nodesu∈V

Shortest paths are not always unique: sometimes there are two or more different paths with the minimum possible length. Show how to solve the following problem in O((|V|+|E|)log|V|)time.

Input:An undirected graph G=(V,E);edge lengths le>0; starting vertex s∈V.

Output:A Boolean array for each node u , the entry usp[u]should be true if and only if there is a unique shortest path s to u (Note:usp[s]=true)

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