General matrix-normal α-divergence formula

Derive the explicit α-divergence formula for matrix-normal distributions when both covariance factors and the mean vary, and extend the associated α-connection analysis to the full matrix-normal family.

Background

For matrix-normal distributions with fixed covariance factors, the paper proves that the α-divergence is independent of α and has a simple quadratic form in the means. When covariance factors also vary, the divergence involves the full matrix-normal potential and additional coupling terms.

The authors identify the required computation as the matrix-variate analogue of an existing vector-case calculation but do not carry it out. The unresolved work includes both the closed form and the corresponding connection geometry.

References

Carrying this out explicitly — the matrix-normal analogue of Proposition 8.1 — is exactly the kind of computation carried out for the vector case in [48, §3–§4], and we leave its detailed treatment, together with the associated α-connections, to forthcoming work.

Information Geometry of Gradient Flows  (2608.21152 - Yoshizawa, 21 Aug 2026) in Remark 8.5, Section 8.3