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

Short Answer

Expert verified

All the edges {u,prepu}(foralll^v)form a tree follows this condition if the nodes are connected so there is no cycle.

Step by step solution

01

Step-1: Dijkstra’s Algorithm.

Dijkstra’s algorithm is a single-source shortest path problem. It is used in both directed and undirected graph with non negative weight.

Dijkstra's method to find shortest path:

  • Begin the initialization process at the root node.
  • Update the cost of the adjacent nodes in the table by identifying the adjacent nodes.
  • From the table, find the node with the lowest cost and repeat step-2 until all nodes have been traversed.
02

Step-2: Explanation of Dijkstra’s Algorithm.q p

To prove that a graph is a tree, we must show:

1. All of the nodes are linked together.

The definition of Dijkstra's algorithm demonstrates this. If there are some node pq , then there is a path from q to p if prev[p] Equals q. If prev[m] for some node m q , then there is a route from q to m. As a result, if there is an edge prev[r], for each node r, there is always apath from q to r. As a result, node q is connected to all other nodes.

2. There is not any cycle

Contradiction can be used to establish this. Assume that root q,i.e prev[q] , does not have a parent. It is also know that prev[r] is the alone parent of all other nodes r. If node v1,v2,...,vnhas a cycle, let's assume v1=prevv2,v2=prev[v3],...,vn=prevv1. None of nodes are linked to q, which violates the previousstatement. As a result, there is no cycle.

Hence, the edges {u,prepu}(foralll^v)form a tree if all the nodes are connected and there is no cycle.

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Most popular questions from this chapter

There is a network of roads G=(V,E) connecting a set of cities . Each road in E has an associated length Ie. There is a proposal to add one new road to this network, and there is a list E' of pairs of cities between which the new road can be built. Each such potential road localid="1659075853079" e'E' has an associated length. As a designer for the public works department you are asked to determine the road localid="1659075866764" e'E'whose addition to the existing network G would result in the maximum decrease in the driving distance between two fixed cities s and t in the network. Give an efficient algorithm for solving this problem.

Consider a directed graph in which the only negative edges are those that leaves; all other edges are positive. Can Dijkstra's algorithm, started at s, fail on such a graph? Prove your answer.

Suppose we want to run Dijkstra’s algorithm on a graph whose edge weights are integers in the range 0,1,........,W, where Wis a relatively small number.
(a) Show how Dijkstra’s algorithm can be made to run in time

O(W|V|+|E|)

(b) Show an alternative implementation that takes time just .

O((|V|+|E|)logW)

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.

Suppose Dijkstra’s algorithm is run on the following graph, starting at node A.

a) Draw a table showing the intermediate distance values of all the nodes at each iteration of the algorithm.

b) Show the final shortest-path tree.

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