#101

Symmetric Tree

Easy
TreeDepth-First SearchBreadth-First SearchBinary TreeRecursionTree Traversal
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(n)
O(h)
💡

Intuition

Time O(n)Space O(h)

The optimal approach uses a recursive helper function to directly compare the left and right subtrees. This is efficient because it avoids extra space for storing node values and checks symmetry in a single traversal.

⚙️

Algorithm

4 steps
  1. 1Step 1: Create a helper function that takes two nodes as parameters.
  2. 2Step 2: If both nodes are null, return true (base case).
  3. 3Step 3: If one node is null and the other is not, return false.
  4. 4Step 4: Check if the values of both nodes are equal, and recursively check the left and right children in a mirrored fashion.
solution.py17 lines
1# Full working Python code
2class TreeNode:
3    def __init__(self, val=0, left=None, right=None):
4        self.val = val
5        self.left = left
6        self.right = right
7
8class Solution:
9    def isSymmetric(self, root: TreeNode) -> bool:
10        def isMirror(left, right):
11            if not left and not right:
12                return True
13            if not left or not right:
14                return False
15            return (left.val == right.val) and isMirror(left.left, right.right) and isMirror(left.right, right.left)
16
17        return isMirror(root, root)

Complexity note: The time complexity is O(n) because we visit each node once. The space complexity is O(h) due to the recursion stack, where h is the height of the tree.

  • 1Symmetry can be checked directly by comparing nodes
  • 2Recursion can simplify tree traversal problems

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