Introduction
Path Sum means:
- checking whether
- root-to-leaf path
- equals target sum
Conditions:
- path must start from root
- path must end at leaf node
Example:
5
/ \
4 8
/ / \
11 13 4
/ \
7 2
Target = 22
Output:True
Explanation:
Path:5 → 4 → 11 → 2
Sum:
22
This problem is one of the most important applications of:
DFS Traversal Constraints
1 <= Number of Nodes <= 10^5 Approach : Recursive DFS Solution
Explanations:
Explanation:
The idea is:
- recursively traverse tree
- subtract current node value
from target
Steps:
- Visit current node.
- Reduce target sum.
- Check leaf node.
- Recurse left subtree.
- Recurse right subtree.
Leaf Condition:
- node has no children
- remaining target becomes 0
This approach:
- uses DFS recursion
- explores all root-to-leaf paths
Dry Run
Target:22
Visit:
5
Remaining:
17
Visit:
4
Remaining:
13
Visit:
11
Remaining:
2
Visit:
2
Remaining:
0
Leaf node reached. Valid path found.
Practice :
Complexity Analysis :
Time Complexity:- O(n)
Explanation : Every tree node is visited once.
Space Complexity:- O(h)
Explanation : Recursion stack depends on tree height.
Why This Problem is Important
This problem builds the foundation for:
- DFS traversal
- Tree recursion
- Root-to-leaf traversal
- Recursive path problems
- Binary tree processing
Real-World Applications
Path sum concepts are used in:
- Decision trees
- Routing systems
- AI search systems
- Hierarchical analysis
- Graph traversal
Common Beginner Mistakes
- Forgetting leaf node condition
- Incorrect target reduction
- Wrong recursion flow
- Missing null checks
- Returning incorrect boolean values
Interview Tip
Interviewers often expect:
- DFS understanding
- recursion explanation
- root-to-leaf logic
- target reduction clarity
Always explain:
- recursive target subtraction
- leaf node validation
- DFS traversal flow
Related Questions
- Same Tree
- Tree Height
- DFS Traversal
- Balanced Binary Tree
- Binary Tree Paths
Final Takeaway
The Path Sum problem is one of the most important beginner DFS tree problems.
It teaches:
- DFS recursion
- recursive traversal
- root-to-leaf exploration
- target tracking
Understanding this problem builds a strong foundation for:
- advanced tree problems
- graph traversal
- interview-level algorithms.