This analysis reveals a new upper bound on minimal logarithmic energy in rotation matrices, indicating significant insights into their distribution.
We describe several randomized collections of 3× 3 3 × 3 rotation matrices and analyze their associated logarithmic energy. The best one (that is, the one attaining the lowest expected logarithmic energy) is constructed by choosing r points on the sphere, which come from the zeros of a randomly chosen degree r polynomial, and considering at each of these points a set of s evenly distributed rotation matrices. This construction yields a new upper bound on the minimal logarithmic energy of $$n=rs$$ n = r s rotation matrices.
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Beltrán et al. (2026) studied this question.
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