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Lowest Common Ancestor of a Binary Search Tree


Lowest Common Ancestor of a Binary Search Tree: Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST.

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).

Example 1:

image

Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
Output: 6
Explanation: The LCA of nodes 2 and 8 is 6.

Example 2:

image

Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4
Output: 2
Explanation: The LCA of nodes 2 and 4 is 2, since
a node can be a descendant of itself according to the LCA definition.

Example 3:
Input: root = [2,1], p = 2, q = 1
Output: 2

Constraints:
  • The number of nodes in the tree is in the range [2, 10^5].
  • -10^9 <= Node.val <= 10^9
  • All Node.val are unique.
  • p != q
  • p and q will exist in the BST.

Try this Problem on your own or check similar problems:

  1. Lowest Common Ancestor of a Binary Tree
  2. Lowest Common Ancestor of a Binary Tree II
Solution:
public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
if(root.val > p.val && root.val > q.val) return lowestCommonAncestor(root.left, p, q);
else if(root.val < p.val && root.val < q.val) return lowestCommonAncestor(root.right, p, q);
return root;
}

Time/Space Complexity:
  • Time Complexity: O(h) where h is the height of tree
  • Space Complexity: O(h)

Explanation:

We have a binary search tree where for each node n we have all nodes with smaller values in the left subtree, while all the nodes with larger values in the right subtree. To search in a BST, we spend at most log n = h = height of tree time and space (for recursion). We can utilize the property of BST to find the lowest common ancestor as we have three scenarios:

  • The root.val is larger than both p and q so we can decrease it and go left (find nodes with smaller value)
  • The root.val is smaller than both p and q so we can increase it and go right (find nodes with larger value)
  • The root.val is larger (or equal) than the value of one of the nodes p and q and smaller (or equal) than value of the other, so we have found the common ancestor

Let's also transform the recursive version to the iterative one (saving on space complexity):

public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
while (root != null) {
if (root.val > p.val && root.val > q.val) {
root = root.left;
} else if (root.val < p.val && root.val < q.val) {
root = root.right;
} else {
return root;
}
}
return null;
}