In
mathematics
Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, a symplectic vector space is a
vector space
In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
over a
field (for example the real numbers
) equipped with a symplectic
bilinear form
In mathematics, a bilinear form is a bilinear map on a vector space (the elements of which are called '' vectors'') over a field ''K'' (the elements of which are called '' scalars''). In other words, a bilinear form is a function that is linea ...
.
A symplectic bilinear form is a
mapping that is
;
Bilinear:
Linear
In mathematics, the term ''linear'' is used in two distinct senses for two different properties:
* linearity of a '' function'' (or '' mapping'');
* linearity of a '' polynomial''.
An example of a linear function is the function defined by f(x) ...
in each argument separately;
;
Alternating:
holds for all
; and
;
Non-degenerate:
for all
implies that
.
If the underlying
field has
characteristic not 2, alternation is equivalent to
skew-symmetry. If the characteristic is 2, the skew-symmetry is implied by, but does not imply alternation. In this case every symplectic form is a
symmetric form, but not vice versa.
Working in a fixed
basis,
can be represented by a
matrix
Matrix (: matrices or matrixes) or MATRIX may refer to:
Science and mathematics
* Matrix (mathematics), a rectangular array of numbers, symbols or expressions
* Matrix (logic), part of a formula in prenex normal form
* Matrix (biology), the m ...
. The conditions above are equivalent to this matrix being
skew-symmetric,
nonsingular, and
hollow (all diagonal entries are zero). This should not be confused with a
symplectic matrix
In mathematics, a symplectic matrix is a 2n\times 2n matrix M with real entries that satisfies the condition
where M^\text denotes the transpose of M and \Omega is a fixed 2n\times 2n nonsingular, skew-symmetric matrix. This definition can be ...
, which represents a symplectic transformation of the space. If
is
finite-dimensional
In mathematics, the dimension of a vector space ''V'' is the cardinality (i.e., the number of vectors) of a basis of ''V'' over its base field. p. 44, §2.36 It is sometimes called Hamel dimension (after Georg Hamel) or algebraic dimension to d ...
, then its dimension must necessarily be
even since every skew-symmetric, hollow matrix of odd size has
determinant
In mathematics, the determinant is a Scalar (mathematics), scalar-valued function (mathematics), function of the entries of a square matrix. The determinant of a matrix is commonly denoted , , or . Its value characterizes some properties of the ...
zero. Notice that the condition that the matrix be hollow is not redundant if the characteristic of the field is 2. A symplectic form behaves quite differently from a symmetric form, for example, the scalar product on Euclidean vector spaces.
Standard symplectic space
The standard symplectic space is
with the symplectic form given by a
nonsingular,
skew-symmetric matrix
In mathematics, particularly in linear algebra, a skew-symmetric (or antisymmetric or antimetric) matrix is a square matrix whose transpose equals its negative. That is, it satisfies the condition
In terms of the entries of the matrix, if a ...
. Typically
is chosen to be the
block matrix
In mathematics, a block matrix or a partitioned matrix is a matrix that is interpreted as having been broken into sections called blocks or submatrices.
Intuitively, a matrix interpreted as a block matrix can be visualized as the original matrix w ...
:
where ''I''
''n'' is the
identity matrix
In linear algebra, the identity matrix of size n is the n\times n square matrix with ones on the main diagonal and zeros elsewhere. It has unique properties, for example when the identity matrix represents a geometric transformation, the obje ...
. In terms of basis vectors :
:
A modified version of the
Gram–Schmidt process
In mathematics, particularly linear algebra and numerical analysis, the Gram–Schmidt process or Gram-Schmidt algorithm is a way of finding a set of two or more vectors that are perpendicular to each other.
By technical definition, it is a metho ...
shows that any finite-dimensional symplectic vector space has a basis such that
takes this form, often called a ''Darboux basis'' or
symplectic basis In linear algebra, a standard symplectic basis is a basis _i, _i of a symplectic vector space, which is a vector space with a nondegenerate alternating bilinear form \omega, such that \omega(_i, _j) = 0 = \omega(_i, _j), \omega(_i, _j) = \delta_. A ...
.
Sketch of process:
Start with an arbitrary basis
, and represent the dual of each basis vector by the
dual basis
In linear algebra, given a vector space V with a basis B of vectors indexed by an index set I (the cardinality of I is the dimension of V), the dual set of B is a set B^* of vectors in the dual space V^* with the same index set I such that B and ...
:
. This gives us a
matrix with entries
. Solve for its null space. Now for any
in the null space, we have
, so the null space gives us the degenerate subspace
.
Now arbitrarily pick a complementary
such that
, and let
be a basis of
. Since
, and
, WLOG
. Now scale
so that
. Then define
for each of
. Iterate.
Notice that this method applies for symplectic vector space over any field, not just the field of real numbers.
Case of real or complex field:
When the space is over the field of real numbers, then we can modify the modified Gram-Schmidt process as follows: Start the same way. Let
be an orthonormal basis (with respect to the usual inner product on
) of
. Since
, and
, WLOG
. Now multiply
by a sign, so that
. Then define
for each of
, then scale each
so that it has norm one. Iterate.
Similarly, for the field of complex numbers, we may choose a unitary basis. This proves the
spectral theory of antisymmetric matrices.
Lagrangian form
There is another way to interpret this standard symplectic form. Since the model space R
2''n'' used above carries much canonical structure which might easily lead to misinterpretation, we will use "anonymous" vector spaces instead. Let ''V'' be a real vector space of dimension ''n'' and ''V''
∗ its
dual space
In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V,'' together with the vector space structure of pointwise addition and scalar multiplication by cons ...
. Now consider the
direct sum
The direct sum is an operation between structures in abstract algebra, a branch of mathematics. It is defined differently but analogously for different kinds of structures. As an example, the direct sum of two abelian groups A and B is anothe ...
of these spaces equipped with the following form:
:
Now choose any
basis of ''V'' and consider its
dual basis
In linear algebra, given a vector space V with a basis B of vectors indexed by an index set I (the cardinality of I is the dimension of V), the dual set of B is a set B^* of vectors in the dual space V^* with the same index set I such that B and ...
:
We can interpret the basis vectors as lying in ''W'' if we write . Taken together, these form a complete basis of ''W'',
:
The form ''ω'' defined here can be shown to have the same properties as in the beginning of this section. On the other hand, every symplectic structure is isomorphic to one of the form . The subspace ''V'' is not unique, and a choice of subspace ''V'' is called a polarization. The subspaces that give such an isomorphism are called Lagrangian subspaces or simply Lagrangians.
Explicitly, given a Lagrangian subspace
as defined below, then a choice of basis defines a dual basis for a complement, by .
Analogy with complex structures
Just as every symplectic structure is isomorphic to one of the form , every
''complex'' structure on a vector space is isomorphic to one of the form . Using these structures, the
tangent bundle
A tangent bundle is the collection of all of the tangent spaces for all points on a manifold, structured in a way that it forms a new manifold itself. Formally, in differential geometry, the tangent bundle of a differentiable manifold M is ...
of an ''n''-manifold, considered as a 2''n''-manifold, has an
almost complex structure, and the
''co''tangent bundle of an ''n''-manifold, considered as a 2''n''-manifold, has a symplectic structure: .
The complex analog to a Lagrangian subspace is a
''real'' subspace, a subspace whose
complexification is the whole space: . As can be seen from the standard symplectic form above, every symplectic form on R
2''n'' is isomorphic to the imaginary part of the standard complex (Hermitian) inner product on C
''n'' (with the convention of the first argument being anti-linear).
Volume form
Let ''ω'' be an
alternating bilinear form on an ''n''-dimensional real vector space ''V'', . Then ''ω'' is non-degenerate if and only if ''n'' is even and is a
volume form
In mathematics, a volume form or top-dimensional form is a differential form of degree equal to the differentiable manifold dimension. Thus on a manifold M of dimension n, a volume form is an n-form. It is an element of the space of sections of t ...
. A volume form on a ''n''-dimensional vector space ''V'' is a non-zero multiple of the ''n''-form where is a basis of ''V''.
For the standard basis defined in the previous section, we have
:
By reordering, one can write
:
Authors variously define ''ω''
''n'' or (−1)
''n''/2''ω''
''n'' as the standard volume form. An occasional factor of ''n''! may also appear, depending on whether the definition of the
alternating product contains a factor of ''n''! or not. The volume form defines an
orientation on the symplectic vector space .
Symplectic map
Suppose that and are symplectic vector spaces. Then a
linear map
In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that p ...
is called a symplectic map if the
pullback preserves the symplectic form, i.e. , where the pullback form is defined by . Symplectic maps are volume- and orientation-preserving.
Symplectic group
If , then a symplectic map is called a linear symplectic transformation of ''V''. In particular, in this case one has that , and so the
linear transformation
In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pr ...
''f'' preserves the symplectic form. The set of all symplectic transformations forms a
group and in particular a
Lie group
In mathematics, a Lie group (pronounced ) is a group (mathematics), group that is also a differentiable manifold, such that group multiplication and taking inverses are both differentiable.
A manifold is a space that locally resembles Eucli ...
, called the
symplectic group
In mathematics, the name symplectic group can refer to two different, but closely related, collections of mathematical groups, denoted and for positive integer ''n'' and field F (usually C or R). The latter is called the compact symplectic gr ...
and denoted by Sp(''V'') or sometimes . In matrix form symplectic transformations are given by
symplectic matrices.
Subspaces
Let ''W'' be a
linear subspace
In mathematics, the term ''linear'' is used in two distinct senses for two different properties:
* linearity of a ''function (mathematics), function'' (or ''mapping (mathematics), mapping'');
* linearity of a ''polynomial''.
An example of a li ...
of ''V''. Define the symplectic complement of ''W'' to be the subspace
:
The symplectic complement satisfies:
:
However, unlike
orthogonal complements, ''W''
⊥ ∩ ''W'' need not be 0. We distinguish four cases:
* ''W'' is symplectic if . This is true
if and only if
In logic and related fields such as mathematics and philosophy, "if and only if" (often shortened as "iff") is paraphrased by the biconditional, a logical connective between statements. The biconditional is true in two cases, where either bo ...
''ω'' restricts to a nondegenerate form on ''W''. A symplectic subspace with the restricted form is a symplectic vector space in its own right.
* ''W'' is isotropic if . This is true if and only if ''ω'' restricts to 0 on ''W''. Any one-dimensional subspace is isotropic.
* ''W'' is coisotropic if . ''W'' is coisotropic if and only if ''ω'' descends to a nondegenerate form on the
quotient space ''W''/''W''
⊥. Equivalently ''W'' is coisotropic if and only if ''W''
⊥ is isotropic. Any
codimension
In mathematics, codimension is a basic geometric idea that applies to subspaces in vector spaces, to submanifolds in manifolds, and suitable subsets of algebraic varieties.
For affine and projective algebraic varieties, the codimension equals ...
-one subspace is coisotropic.
* ''W'' is Lagrangian if . A subspace is Lagrangian if and only if it is both isotropic and coisotropic. In a finite-dimensional vector space, a Lagrangian subspace is an isotropic one whose dimension is half that of ''V''. Every isotropic subspace can be extended to a Lagrangian one.
Referring to the canonical vector space R
2''n'' above,
* the subspace spanned by is symplectic
* the subspace spanned by is isotropic
* the subspace spanned by is coisotropic
* the subspace spanned by is Lagrangian.
Heisenberg group
A
Heisenberg group
In mathematics, the Heisenberg group H, named after Werner Heisenberg, is the group of 3×3 upper triangular matrices of the form
: \begin
1 & a & c\\
0 & 1 & b\\
0 & 0 & 1\\
\end
under the operation of matrix multiplication. Elements ''a, b' ...
can be defined for any symplectic vector space, and this is the typical way that
Heisenberg group
In mathematics, the Heisenberg group H, named after Werner Heisenberg, is the group of 3×3 upper triangular matrices of the form
: \begin
1 & a & c\\
0 & 1 & b\\
0 & 0 & 1\\
\end
under the operation of matrix multiplication. Elements ''a, b' ...
s arise.
A vector space can be thought of as a commutative Lie group (under addition), or equivalently as a commutative
Lie algebra
In mathematics, a Lie algebra (pronounced ) is a vector space \mathfrak g together with an operation called the Lie bracket, an alternating bilinear map \mathfrak g \times \mathfrak g \rightarrow \mathfrak g, that satisfies the Jacobi ident ...
, meaning with trivial Lie bracket. The Heisenberg group is a
central extension of such a commutative Lie group/algebra: the symplectic form defines the commutation, analogously to the
canonical commutation relation
In quantum mechanics, the canonical commutation relation is the fundamental relation between canonical conjugate quantities (quantities which are related by definition such that one is the Fourier transform of another). For example,
hat x,\hat p ...
s (CCR), and a Darboux basis corresponds to
canonical coordinates – in physics terms, to
momentum operators and
position operators.
Indeed, by the
Stone–von Neumann theorem, every representation satisfying the CCR (every representation of the Heisenberg group) is of this form, or more properly unitarily conjugate to the standard one.
Further, the
group algebra of (the dual to) a vector space is the
symmetric algebra, and the group algebra of the Heisenberg group (of the dual) is the
Weyl algebra: one can think of the central extension as corresponding to quantization or
deformation.
Formally, the symmetric algebra of a vector space ''V'' over a field ''F'' is the group algebra of the dual, , and the Weyl algebra is the group algebra of the (dual) Heisenberg group . Since passing to group algebras is a
contravariant functor
In mathematics, specifically category theory, a functor is a mapping between categories. Functors were first considered in algebraic topology, where algebraic objects (such as the fundamental group) are associated to topological spaces, and ...
, the central extension map becomes an inclusion .
See also
* A
symplectic manifold
In differential geometry, a subject of mathematics, a symplectic manifold is a smooth manifold, M , equipped with a closed nondegenerate differential 2-form \omega , called the symplectic form. The study of symplectic manifolds is called sy ...
is a
smooth manifold
In mathematics, a differentiable manifold (also differential manifold) is a type of manifold that is locally similar enough to a vector space to allow one to apply calculus. Any manifold can be described by a collection of charts (atlas). One may ...
with a smoothly-varying ''closed'' symplectic form on each
tangent space
In mathematics, the tangent space of a manifold is a generalization of to curves in two-dimensional space and to surfaces in three-dimensional space in higher dimensions. In the context of physics the tangent space to a manifold at a point can be ...
.
*
Maslov index
* A
symplectic representation is a
group representation
In the mathematical field of representation theory, group representations describe abstract groups in terms of bijective linear transformations of a vector space to itself (i.e. vector space automorphisms); in particular, they can be used ...
where each group element acts as a symplectic transformation.
References
*
Claude Godbillon (1969) "Géométrie différentielle et mécanique analytique", Hermann
*{{cite book , authorlink=Ralph Abraham (mathematician) , first1=Ralph , last1=Abraham , first2=Jerrold E. , last2=Marsden , authorlink2=Jerrold E. Marsden , title=Foundations of Mechanics , year=1978 , publisher=Benjamin-Cummings , location=London , isbn=0-8053-0102-X , chapter=Hamiltonian and Lagrangian Systems , pages=161–252 , edition=2nd }
PDF* Paulette Libermann and Charles-Michel Marle (1987) "Symplectic Geometry and Analytical Mechanics", D. Reidel
* Jean-Marie Souriau (1997) "Structure of Dynamical Systems, A Symplectic View of Physics", Springer
Linear algebra
Symplectic geometry
Bilinear forms