Geometric-proof challenge for the matrix case of the tensor injective norm bound

Establish a purely geometric (e.g., metric entropy/chaining) proof of the inequality E ||∑_{i=1}^n g_i T_i||_{I_2} ≤ ˜O(√(∑_{i=1}^n ||T_i||_{I_2}^2)) in the matrix case r = p = 2, without using moment-method arguments, thereby recovering the noncommutative Khintchine–type bound via geometric techniques.

Background

While the matrix case (r = p = 2) is classically accessible via moment methods (e.g., Ahlswede–Winter and noncommutative Khintchine), obtaining it through purely geometric methods remains elusive. The geometric approach considers Dudley-type entropy integrals based on the canonical Gaussian process metric; here controlling covering numbers is challenging.

A resolution would illuminate the geometric structure underlying matrix/tensor norms and could pave a path toward proving the full tensor conjecture for p < 2r.

References

Even proving it in the known case r=p=2 using purely geometric techniques is, to the best of my knowledge, still open.

Randomstrasse101: Open Problems of 2025  (2603.29571 - Bandeira et al., 31 Mar 2026) in Section “Tensor Concentration Inequalities (KL)” (Entry 8)