Hilbert-Schmidt norm 2026-10-06
The Hilbert-Schmidt norm of a Hilbert-Schmidt operator is the square root of the displayed sum. The value is independent of the orthonormal basis, by the Parseval identity. For a finite matrix, it is the Frobenius norm.
For partitions, the appropriate Hamming distance between unlabelled bipartitions is . It counts vertices assigned to the wrong group after the better global exchange of the two group names. The printed signed-indicator formula does not implement this exchange: negating a zero-one indicator is not taking its complement. It must be read as this partition distance, or written with the membership vectors.
Use the corrected leading eigenvector estimator from 4(b), and orient its sign to minimize . At every wrongly signed coordinate, this difference has magnitude at least . Therefore the sign rounding bound for a unit eigenvector gives
The last inequality uses the projector distance bound . Taking the expected value of this Frobenius norm estimate proves . The assertion relies on the corrected estimator and partition-distance definition.