Apply Warshall’s algorithm to find the transitive closure of the digraph defined by the following adjacency matrix: (0 0 0 1; 0 0 1 0; 0 0 1 0; 0 0 0 0)

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Understand the Problem

The question is asking to apply Warshall's algorithm to determine the transitive closure of a directed graph represented by a given adjacency matrix. This involves systematically updating the matrix to reflect reachable nodes.

Answer

The transitive closure of the digraph is: $$ \begin{pmatrix} 0 & 0 & 1 & 1 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 \end{pmatrix} $$
Answer for screen readers

The transitive closure of the directed graph is represented by the matrix: $$ \begin{pmatrix} 0 & 0 & 1 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

Steps to Solve

  1. Initialize the Adjacency Matrix

Start with the given adjacency matrix representing the directed graph: $$ A = \begin{pmatrix} 0 & 0 & 0 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

  1. Apply Warshall’s Algorithm

The algorithm iteratively checks if there's a path between every pair of vertices:

  • For each intermediate vertex ( k ), update the matrix: $$ A[i][j] = A[i][j] \lor (A[i][k] \land A[k][j]) $$ Where ( i ) and ( j ) are the vertices being checked.
  1. Iteration with k = 0

Check if paths exist through vertex 0:

  • Update ( A[i][j] ) based on ( A[i][0] ) and ( A[0][j] ): $$ A = \begin{pmatrix} 0 & 0 & 0 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

No changes occur as ( A[0][:] ) has no outgoing edges.

  1. Iteration with k = 1

Next, check paths through vertex 1:

  • Update ( A[i][j] ) based on ( A[i][1] ) and ( A[1][j] ): $$ A = \begin{pmatrix} 0 & 0 & 1 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

Now ( A[0][2] ) becomes 1 since there is a path ( 0 \rightarrow 1 \rightarrow 2 ).

  1. Iteration with k = 2

Now check paths through vertex 2:

  • Update ( A[i][j] ): $$ A = \begin{pmatrix} 0 & 0 & 1 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

No further changes occur.

  1. Iteration with k = 3

Finally, check paths through vertex 3:

  • Update ( A[i][j] ): No changes occur since ( A[3][:] ) has no outgoing edges.
  1. Final Transitive Closure Matrix

The resulting transitive closure of the graph is: $$ TC = \begin{pmatrix} 0 & 0 & 1 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

The transitive closure of the directed graph is represented by the matrix: $$ \begin{pmatrix} 0 & 0 & 1 & 1 \ 0 & 0 & 1 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 0 \end{pmatrix} $$

More Information

The transitive closure matrix indicates which vertices are reachable from each vertex in the directed graph. A value of 1 at position ( (i, j) ) means there is a path from vertex ( i ) to vertex ( j ).

Tips

  • Not updating every entry: Ensure that every potential path is considered for each intermediate vertex.
  • Misinterpreting matrix indices: Remember that matrix indexing starts at 0, which can lead to calculation errors.
  • Forgetting logical operations: Use logical AND ($\land$) and logical OR ($\lor$) correctly to update the matrix.

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