The core conditions aren't hard to list out: exactly one root, n-1 edges, no cycles, fully connected.
Model the parent array as a directed graph and verify it satisfies the necessary and sufficient conditions for a tree: exactly one root, no cycles, and all nodes connected. Use a union-find or DFS approach to detect cycles and count components, ensuring the edge count is exactly n-1.
Pro tip: Clarify edge cases upfront—empty array, multiple roots, self-loops, and disconnected components—and mention that a valid tree must have exactly n-1 edges and no cycles. This shows you think about correctness and boundary conditions before coding.
Confirm the sentinel value for root (e.g., -1), whether the array can be empty, and if multiple roots are allowed. Discuss edge cases like self-loops and disconnected nodes.
Verify there is exactly one root (one node with sentinel parent) and that every non-root parent index is within bounds. Also, ensure no node is its own parent.
Use union-find or DFS to detect cycles and count connected components. A valid tree must have exactly one component and no cycles.
Confirm that the number of edges (n-1) matches the number of nodes minus one, which is a necessary condition for a tree.
If all conditions hold (one root, no cycles, one component, n-1 edges), return true; otherwise, false. Explain time and space complexity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.