Lowest Common Ancestor in Binary Tree in DSA C# - Time & Space Complexity

Time Complexity: Lowest Common Ancestor in Binary Tree

O(n)

Understanding Time Complexity

We want to understand how the time needed to find the lowest common ancestor grows as the tree gets bigger.

How does the search through the tree change when it has more nodes?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public TreeNode LowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {
    if (root == null || root == p || root == q) {
        return root;
    }
    TreeNode left = LowestCommonAncestor(root.left, p, q);
    TreeNode right = LowestCommonAncestor(root.right, p, q);
    if (left != null && right != null) {
        return root;
    }
    return left ?? right;
}
    

This code finds the lowest common ancestor of two nodes in a binary tree by searching both sides recursively.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Recursive calls visiting each node once.
• How many times: Each node is checked once during the recursion.

How Execution Grows With Input

As the tree grows, the function visits every node once to find the answer.

Input Size (n)	Approx. Operations
10	About 10 node visits
100	About 100 node visits
1000	About 1000 node visits

Pattern observation: The number of operations grows directly with the number of nodes.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the lowest common ancestor grows linearly with the number of nodes in the tree.

Common Mistake

[X] Wrong: "The function only searches part of the tree, so it runs faster than visiting all nodes."

[OK] Correct: The function may need to check every node in the worst case, especially if the nodes are deep or spread out.

Interview Connect

Understanding this time complexity helps you explain how your solution scales and shows you know how recursion explores trees efficiently.

Self-Check

"What if the tree was a binary search tree and you used its properties? How would the time complexity change?"

Practice

1. What is the Lowest Common Ancestor (LCA) of two nodes in a binary tree?

easy

A. The node that is a child of both nodes

B. The root node of the binary tree

C. The node with the smallest value between the two nodes

D. The deepest node that is an ancestor of both nodes

Solution

1. Step 1: Understand the definition of LCA

   The Lowest Common Ancestor is the deepest node in the tree that has both given nodes as descendants (a node can be a descendant of itself).

2. Step 2: Identify the correct description

   Among the options, only the deepest common ancestor fits this definition.

3. Final Answer:

   The deepest node that is an ancestor of both nodes -> Option D

4. Quick Check:

   LCA = deepest common ancestor [OK]

Hint: LCA is the lowest node common to both paths [OK]

Common Mistakes:

• Confusing LCA with root node
• Thinking LCA is the smaller value node
• Assuming LCA is a child of both nodes

2. Which of the following is the correct C# method signature to find the LCA in a binary tree node class named TreeNode?

easy

A. public TreeNode FindLCA(TreeNode root, TreeNode p, TreeNode q)

B. public void FindLCA(TreeNode root, int p, int q)

C. private int FindLCA(int root, int p, int q)

D. public TreeNode FindLCA(int root, TreeNode p, TreeNode q)

Solution

1. Step 1: Analyze method parameters and return type

   The method should accept the root node and two nodes to find LCA for, and return a TreeNode representing the LCA.

2. Step 2: Match signature with correct types

   public TreeNode FindLCA(TreeNode root, TreeNode p, TreeNode q) correctly uses TreeNode for all nodes and returns TreeNode. Other options have incorrect parameter types or return types.

3. Final Answer:

   public TreeNode FindLCA(TreeNode root, TreeNode p, TreeNode q) -> Option A

4. Quick Check:

   Correct signature uses TreeNode parameters and return type [OK]

Hint: LCA method returns TreeNode and takes TreeNode parameters [OK]

Common Mistakes:

• Using int instead of TreeNode for nodes
• Wrong return type (void or int)
• Incorrect access modifier or parameter order

3. Given the following binary tree and code snippet, what will be the output of FindLCA(root, node5, node1).val?

    3
   / \
  5   1
 / \ / \
6  2 0  8
   / \
  7   4

// Code snippet:
TreeNode lca = FindLCA(root, node5, node1);
Console.WriteLine(lca.val);

medium

A. 5

B. 3

C. 1

D. 2

Solution

1. Step 1: Locate nodes 5 and 1 in the tree

   Node 5 is left child of root 3, node 1 is right child of root 3.

2. Step 2: Find lowest common ancestor

   The root node 3 is the lowest node that has both 5 and 1 as descendants.

3. Final Answer:

   3 -> Option B

4. Quick Check:

   LCA(5,1) = 3 [OK]

Hint: LCA of nodes on different sides is their root ancestor [OK]

Common Mistakes:

• Choosing one of the nodes instead of their ancestor
• Confusing node values with LCA
• Ignoring tree structure

4. Identify the bug in this C# method to find LCA in a binary tree:

public TreeNode FindLCA(TreeNode root, TreeNode p, TreeNode q) {
    if (root == null) return null;
    if (root == p || root == q) return root;
    TreeNode left = FindLCA(root.left, p, q);
    TreeNode right = FindLCA(root.right, p, q);
    if (left != null && right != null) return root;
    return left != null ? left : right;
}

medium

A. Missing base case for leaf nodes

B. Should check if root.val equals p.val or q.val instead of node references

C. No bug, method is correct

D. Return statement should always return root

Solution

1. Step 1: Review base cases and recursive calls

   The method returns null if root is null, returns root if root matches p or q, then recursively searches left and right subtrees.

2. Step 2: Check logic for combining results

   If both left and right are non-null, root is LCA; else returns whichever subtree found a node. This is correct logic.

3. Final Answer:

   No bug, method is correct -> Option C

4. Quick Check:

   Standard LCA recursive method is correct [OK]

Hint: Check if both sides return non-null to find LCA [OK]

Common Mistakes:

• Comparing node values instead of references if nodes are unique
• Missing base case for null root
• Incorrect return logic

5. You have a binary tree where nodes may not be unique. How would you modify the LCA method to find the LCA of two nodes given only their values (int pVal, int qVal), assuming multiple nodes can have the same value?

hard

A. Use a method that finds paths from root to each node value and then compare paths to find LCA

B. Modify the method to return the first node found with matching value and use parent pointers to find LCA

C. Return the root node always since values are not unique

D. Use a hash set to store visited nodes and return the first common node visited

Solution

1. Step 1: Understand the problem with non-unique values

   Since values are not unique, we cannot rely on node references or values alone to find LCA directly.

2. Step 2: Use path comparison approach

   Find paths from root to each node value (may find multiple nodes), then compare paths to find the last common node, which is the LCA.

3. Final Answer:

   Use a method that finds paths from root to each node value and then compare paths to find LCA -> Option A

4. Quick Check:

   Path comparison works for non-unique values [OK]

Hint: Find paths for both values, then compare to find LCA [OK]

Common Mistakes:

• Assuming node references are unique
• Returning root always
• Using hash set without paths