Deriving the Closed-Form of a Multi-Index Summation
1 Problem Statement
We seek a simple closed-form formula for the summation \( S(\triangleright) \), defined as the sum over the lower triangle (including the diagonal) of a symmetric square array:
The array is symmetrical about its main diagonal, meaning the value at row \( j \) and column \( k \) is identical to the value at row \( k \) and column \( j \) where \( a_j a_k = a_k a_j \).
2 Symmetry and Partitioning
The main diagonal consists of elements where the row index equals the column index (\( j=k \)). Due to symmetry, the upper triangle \( S(\triangleleft) \) is identical to the lower triangle \( S(\triangleright) \). Consequently:
Using Iverson's convention, we can observe the relationship between the sets of indices:
3 Set Combinations
Applying the laws of summation over sets \( K \) and \( K' \), the sum over the union plus the sum over the intersection equals the sum of the individual sets:
4 Final Derivation
The sum over the entire grid factors into the square of the total sum:
Substituting our known values into the set identity and utilizing the equality of the triangles:
Comments