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What is the space complexity of the recursive DFS approach to compute maximum depth of a binary tree with height h?

medium🪤 Complexity Trap Q6 of Q15
Tree: Depth-First Search - Maximum Depth of Binary Tree
What is the space complexity of the recursive DFS approach to compute maximum depth of a binary tree with height h?
AO(h)
BO(1)
CO(n)
DO(log n)
Step-by-Step Solution
Solution:
  1. Step 1: Identify recursion stack usage

    Recursive DFS uses call stack proportional to tree height h.
  2. Step 2: Confirm auxiliary space

    No additional data structures used beyond recursion stack, so space is O(h).
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Space depends on max recursion depth = tree height [OK]
Quick Trick: Recursive stack depth = tree height h [OK]
Common Mistakes:
MISTAKES
  • Assuming O(n) space always
  • Ignoring recursion stack space
  • Confusing height with log n
Trap Explanation:
PITFALL
  • Candidates often forget recursion stack space, assuming constant or linear space incorrectly.
Interviewer Note:
CONTEXT
  • Checks understanding of recursion stack space in DFS tree traversal.
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