Affine-Kahler manifolds, Exponential families, Sasaki metrics
A Hessian manifold (also known as an ``affine-Kähler manifold") is a Riemannian manifold which admits a curvature- and torsion-free affine connection $D$ (i.e., an affine manifold) and whose Riemannian metric $g$ is locally given by the Hessian of a potential function $\Phi$. In other words, we have that $g = D^2 \Phi$.
There is equivalent definition for Hessian manifolds in terms of dually flat connections. More precisely, a Hessian manifold is a Riemannian manifold $(M,g)$ with two flat connections $D$ and $D^*$ satisfying \begin{equation} \label{conjugateconnection} \mathcal{X}(g(\mathcal{Y},\mathcal{Z})) = g(D_\mathcal{X} \mathcal{Y}, \mathcal{Z}) + g(\mathcal{Y}, D^*_\mathcal{X} \mathcal{Z}) \end{equation} for all vector fields $\mathcal{X},~ \mathcal{Y}$, and $\mathcal{Z}$.
Hessian manifolds have many special properties, a few of which are listed below.
- For every Hessian manifold, there is a dual Hessian manifold induced by the dual connection $D^\ast$ and whose potentials are given by the Legendre transformations of the original potentials. These manifolds are isometric as Riemannian manifolds, but their affine structures can be distinct.
- The tangent bundle of a Hessian manifold, when induced with the Sasaki metric, is a Kahler manifold.
- The affine universal cover of a Hessian manifold is a convex domain in affine space.
- In the context of information geometry, Hessian manifolds can be constructed by exponential families by using the Fisher metric and the natural parameters to induce a connection.
A standard reference on the topic is The Geometry of Hessian Structures by Hirohiko Shima. Another reference is the paper ``Affine Spheres and Kähler-Einstein Metrics" by John Loftin which discusses some more analytic aspects of the theory.