Let's analyze each statement:
Option (A) - True:
- The second smallest edge is always part of any minimum spanning tree (MST) if it does not form a cycle. This is a consequence of Kruskal's algorithm: the second smallest edge is always added to the MST if it doesn't form a cycle, since adding it will reduce the total weight of the tree without violating the minimum weight requirement.
Option (B) - True:
- The third and fourth smallest edges might or might not be part of the MST. It is possible that one or both of these edges are included in the MST depending on their positioning and whether they create a cycle. However, it's also possible for neither edge to be included. The presence of these edges in the MST depends on the structure of the graph, but at least one of them can be part of the MST if it does not create a cycle.
Option (C) - True:
- This statement is true because the edge with the minimum weight between two subsets \( S \) and \( V \setminus S \) is guaranteed to be part of the MST. This is a direct application of the cut property of MSTs, which states that for any cut in the graph, the minimum weight edge crossing the cut must be part of the MST.
Option (D) - False:
- In a graph with distinct edge weights, the MST is unique. This is a consequence of Kruskal's and Prim's algorithms. If all edge weights are distinct, there is no ambiguity in choosing the minimum weight edges for the spanning tree, and thus the MST is unique.
Thus, the correct answers are (A), (B), and (C).