For on a finite group, use uniform expectation over the solutions of and the ordinary, unnormalized trace to define the displayed fourth-order quantity. If is its matrix Fourier block, this quantity equals , so it is real and nonnegative. For a scalar function on an abelian group, it reduces to the usual fourth power of the Gowers uniformity norm of order two. The unnormalized trace means a unitary matrix-valued function can have fourth-order quantity as large as .
Use , the necessary parameter range for the bounds involving . The construction comes from the singular value decomposition of matrix Fourier blocks. For each inequivalent unitary irreducible representation of dimension , consider the Hilbert space with the Hilbert-Schmidt inner product and the operator
Its operator norm is at most one, since is a unitary matrix and . Thus all its singular values lie in .
Two identities control their weighted moments:
Here the expectation in is uniform on the solutions of the constraint, and the trace on used to compute each moment is the ordinary operator trace. We justify the identities explicitly to fix their normalizations and the noncommutative order.
The adjoint operator is , so
For rectangular matrices, the operator has trace , as is seen on the matrix-unit basis. Squaring the previous operator therefore gives
The required representation theory consists of unitarization of a finite-group representation, the Schur orthogonality relations, and the regular representation decomposition. The last gives the character expansion of the identity delta
Summing the two operator traces with weights selects in the first, and in the second. Multiplication by converts each independent-variable expectation to its conditional expectation. This proves . In particular is real and nonnegative, despite the apparently complex summands in its original formula. Since , the nonvacuous hypothesis has .
Select every singular value satisfying . Index the selected pairs by , set , , and choose unit right singular vectors and unit left singular vectors with . Define
Both are matrices, proving (i). Repeated group representations in this list are literally the same chosen representative, rather than different equivalent realizations.
If and , select the singular values of the matrix Fourier blocks. Their weighted count lies between and . Scaling unit right singular vectors and their corresponding unit left singular vectors by gives matrices satisfying and Hilbert-Schmidt inner product orthogonality within each chosen irreducible representation. The Schur averaging of rectangular matrices then gives for the concatenated and the corresponding block diagonal matrix .