**Time Complexity:** - **Divide Step:** Splitting the list …

**Time Complexity:**
- **Divide Step:** Splitting the list takes constant time, O(1).
- **Conquer Step:** Each recursive call processes a sublist of size n/2, splitting further into smaller parts, leading to a recursion depth of O(log n).
- **Combine Step:** Merging two halves (each of size n/2) takes O(n) time.
- Overall Time Complexity: Combining each level of the recursion depth results in an O(n) operation at each level, and there are O(log n) levels, making the time complexity O(n log n).