Understanding the Problem
We are given a binary tree and two distinct or identical node values. Our goal is to find the number of edges between these two nodes, also known as the distance between them.
To solve this, we rely on a fundamental concept called the Lowest Common Ancestor (LCA). The LCA of two nodes is the deepest node in the tree that has both target nodes as descendants (a node can be a descendant of itself).
Once the LCA is found, we calculate the distance from the LCA to each node and then sum them. This approach works whether the nodes are on different branches or one is the ancestor of the other.
Step-by-Step Solution with Example
Step 1: Represent the Binary Tree
Let’s consider the following binary tree:
1
/ 2 3
/ 4 5
We’ll work with this structure to explain how to find the distance between two nodes, say 4 and 5.
Step 2: Understand the Path
We want the number of edges in the shortest path connecting the two nodes. The path from 4 to 5 goes like this:
4 → 2 → 5
This path has 2 edges. We can break this path using their LCA, which is node 2.
Step 3: Find the Lowest Common Ancestor (LCA)
We find the LCA of 4 and 5 by traversing the tree. Since both 4 and 5 are in the left subtree of 1 and share 2 as a common parent, the LCA is node 2.
Step 4: Find Distance from LCA to Each Node
Distance from LCA (2) to 4 is 1 edge.
Distance from LCA (2) to 5 is also 1 edge.
Step 5: Sum the Distances
Total distance between 4 and 5 = 1 (LCA to 4) + 1 (LCA to 5) = 2.
Edge Cases
Same Node
If we are asked for the distance between a node and itself, like 4 and 4, the distance is 0. No traversal is needed.
One Node is Ancestor of the Other
If one node is an ancestor of the other, the LCA will be the ancestor. For example, distance between 2 and 5 is 1, since 2 is the parent of 5.
Empty Tree
If the binary tree is null (empty), there’s nothing to search. Return -1
to indicate the nodes don’t exist.
One or Both Nodes Missing
If one or both nodes are not present in the tree, we should not attempt to find the distance. Instead, return -1
to signify invalid input.
Finally
Finding the distance between two nodes in a binary tree becomes intuitive once we understand the role of the Lowest Common Ancestor. Always remember to verify that both nodes exist in the tree before computing the distance. Carefully handling special cases like empty trees or same node queries ensures a robust and beginner-friendly implementation.
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