Total number of Spanning Trees in a Graph - GeeksforGeeks
If a graph is a complete graph with n vertices, then total number of spanning trees is n(n-2) where n is the number of nodes in the graph. In complete graph, the task is equal to counting different labeled trees with n nodes for which have Cayley's formula.
What if graph is not complete?
Follow the given procedure :-
STEP 1: Create Adjacency Matrix for the given graph.
STEP 2: Replace all the diagonal elements with the degree of nodes. For eg. element at (1,1) position of adjacency matrix will be replaced by the degree of node 1, element at (2,2) position of adjacency matrix will be replaced by the degree of node 2, and so on.
STEP 3: Replace all non-diagonal 1's with -1.
STEP 4: Calculate co-factor for any element.
STEP 5: The cofactor that you get is the total number of spanning tree for that graph.
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If a graph is a complete graph with n vertices, then total number of spanning trees is n(n-2) where n is the number of nodes in the graph. In complete graph, the task is equal to counting different labeled trees with n nodes for which have Cayley's formula.
What if graph is not complete?
Follow the given procedure :-
STEP 1: Create Adjacency Matrix for the given graph.
STEP 2: Replace all the diagonal elements with the degree of nodes. For eg. element at (1,1) position of adjacency matrix will be replaced by the degree of node 1, element at (2,2) position of adjacency matrix will be replaced by the degree of node 2, and so on.
STEP 3: Replace all non-diagonal 1's with -1.
STEP 4: Calculate co-factor for any element.
STEP 5: The cofactor that you get is the total number of spanning tree for that graph.
Consider the following graph:
Adjacency Matrix for the above graph will be as follows:
After applying STEP 2 and STEP 3, adjacency matrix will look like
The co-factor for (1, 1) is 8. Hence total no. of spanning tree that can be formed is 8.
NOTE- Co-factor for all the elements will be same. Hence we can compute co-factor for any element of the matrix.
NOTE- Co-factor for all the elements will be same. Hence we can compute co-factor for any element of the matrix.
This method is also known as Kirchhoff’s Theorem. It can be applied to complete graphs also.
