For each integer compute the smallest possible value of over all permutations of
[i]
For each integer compute the smallest possible value of over all permutations of
[i]
Given an integer , we need to find the smallest possible value of
over all permutations of .
### Step-by-step Approach
1. Understanding the Floor Function: The expression returns the greatest integer less than or equal to . This function decreases the output by approximately each time increases by .
2. Goal Analysis: Our aim is to minimize the sum of all such floor expressions for every in . Attempting to place each such that is minimized will generally result in minimizing the entire sum.
3. **Strategic Choice of :
- Incremental Strategy**:
- Start with smaller numbers for smaller divisions.
- For each , we ideally want the smallest value of such that yields the minimum value .
- If , then .
- Hence, for up to a certain threshold, the elements should be within .
4. Determining the Threshold:
- The transition from to in happens when . To maintain a value, choose .
- The smallest beyond which we can't maintain perfectly over all indices is determined by balancing allocations in available slots.
5. Logarithmic Insight:
- Arrange permutations such that the maximum aligns conceptually with binary powers due to the floor function behavior which mirrors log curves.
- When is a power of 2, new allocations necessitate increased values.
6. Realizing the Sum:
- Each successive block (doubling size of indices) achieves at least an increase by .
- Thus, iterating through powers of 2 economically, the entire strategy aligns with , due to the additive nature of each power block.
Consequently, considering blocks of decreasing increments, balancing partitions as suggested aligns the structural floor contributions with logarithmic expectations.
### Conclusion
The smallest possible value of the sum for any permutation is therefore:
This minimizes accumulated floor term contributions across all examined permutations.