Bivector form of the bracket. The bracket is encoded by a skew-symmetric bivector (a skew-symmetric matrix of functions),
The sharp map sends a covector to a vector, , and the Hamiltonian vector field of is . Jacobi for is equivalent to
Example
An arbitrary , with and (), can be seen as a Poisson manifold, we can define a Poisson bracket on the space of smooth functions on as follows:
For any two smooth functions , we define their Poisson bracket as:
The Poisson bracket of functions which only depends on with any other function is zero. These are called distinguished functions or Casimir functions, and can be thought as "observables" which do not provide "evolution parameter", since its associated Hamiltonian vector field is null.
Moreover, they remain constant along the evolution parameter of any Hamiltonian vector fields. They are a kind of "generalized constants". This reminds me the centralizer of an algebra, in case that the bracket is given by the commutator of a product...
The "morphisms" between Poisson manifolds are called Poisson maps.
Poisson systems
Equations are called Poisson systems (also Hamiltonian systems on a Poisson manifold, or generalized Hamiltonian systems).
The characteristic distribution /symplectic foliation
Consider , the set of all Hamiltonian vectors at . It is a (maybe singular) distribution (non constant rank). It is integrable: .
The integral manifolds have a symplectic structure (symplectic leaves); the whole decomposition of is the symplectic foliation.
Annihilator and Frobenius ideal., i.e. for all . It is localy generated by one-forms ( corank codimension of the leaves), defined only up to an invertible change of basis.
If a Casimir function exists, then . Therefore, Casimir functions cut out the leaves of the symplectic foliation. They are the first integrals of the characteristic distribution.