Mathematics and Physics Science/Mathematics

The field that views families of probability distributions as manifolds and studies them using differential geometry is called information geometry.  Within information geometry, dual flat spaces—which are particularly important—are highly compatible with tangent bundles and canonical symplectic structures, giving rise to remarkably elegant relationships locally.  In particular,  by treating the canonical divergence as a potential function, it becomes possible to study dual flat spaces using symplectic geometry.