235. Lowest Common Ancestor of a Binary Search Tree
mediumFind the lowest common ancestor of two nodes in a BST. The sorted-tree property lets you decide direction at every step — no need to traverse the whole tree.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST. According to the definition of LCA on Wikipedia: 'The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of itself).'
Constraints
The number of nodes in the tree is in the range [2, 10^5].-10^9 <= Node.val <= 10^9All Node.val are unique.p != qp and q will exist in the BST.
Examples
Example 1
root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 86Explanation: The LCA of nodes 2 and 8 is 6.
Example 2
root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 42Explanation: The LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself per the LCA definition.
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Hints
Progressive — try the first before opening the next.
Hint 1
If both p and q are less than the current node, the LCA must be in the left subtree.
Hint 2
If both are greater, it must be in the right subtree.
Hint 3
Otherwise (split or one of them equals the node), the current node IS the LCA.
Solution approach
Reveal approach
Walk down the BST using the sorted property. At each node: if both p.val and q.val are less than node.val, descend left; if both are greater, descend right; otherwise (the values split or one matches the current node), return node — this is the LCA. Iterative version uses constant extra space; recursive version uses O(h) stack. Either way, O(h) time where h is tree height, O(log n) on average for a balanced BST.
Complexity
- Time
- O(h)
- Space
- O(1) iterative
Related patterns
- bst
- dfs
Related problems
Asked at
Companies reported asking this problem (sourced from public Glassdoor, Blind, and Levels.fyi interview posts).
- Amazon
- Meta
- Microsoft
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