🔵Symplectic Geometry Unit 6 – Symplectic Vector Spaces and Linear Geometry
Symplectic vector spaces form the foundation of symplectic geometry, a field crucial to classical mechanics and quantum physics. These spaces are even-dimensional and equipped with a special bilinear form called a symplectic form, which allows for a rich geometric structure.
Linear algebra concepts like subspaces, complements, and transformations take on new meaning in symplectic geometry. Understanding these structures helps in solving problems in physics, mechanics, and optics, where symplectic methods provide powerful tools for analysis and computation.
Symplectic vector space consists of an even-dimensional real vector space V equipped with a non-degenerate, skew-symmetric bilinear form ω
Non-degenerate bilinear form ω implies that for every non-zero vector v∈V, there exists a vector w∈V such that ω(v,w)=0
Skew-symmetry of ω means that for all vectors v,w∈V, ω(v,w)=−ω(w,v)
Consequence of skew-symmetry is that ω(v,v)=0 for all v∈V
Symplectic basis is a basis {e1,…,en,f1,…,fn} of V satisfying ω(ei,ej)=ω(fi,fj)=0 and ω(ei,fj)=δij, where δij is the Kronecker delta
Symplectic group Sp(V,ω) consists of linear transformations ϕ:V→V that preserve the symplectic form, i.e., ω(ϕ(v),ϕ(w))=ω(v,w) for all v,w∈V
Hamiltonian vector field XH associated with a smooth function H:V→R is defined by ω(XH,⋅)=dH, where dH is the differential of H
Foundations of Symplectic Vector Spaces
Symplectic vector spaces arise naturally in the study of classical mechanics, where the phase space of a system is a symplectic manifold
Canonical example of a symplectic vector space is (R2n,ω0), where ω0 is the standard symplectic form given by ω0(x,y)=∑i=1n(xiyn+i−xn+iyi) for x,y∈R2n
Every symplectic vector space (V,ω) is isomorphic to (R2n,ω0) for some n, known as the Darboux theorem
Symplectic complement of a subspace W⊆V is defined as Wω={v∈V:ω(v,w)=0 for all w∈W}
Symplectic orthogonal complement satisfies (Wω)ω=W and dimW+dimWω=dimV
Lagrangian subspace is a subspace L⊆V satisfying L=Lω, i.e., it is equal to its own symplectic complement
Maximal dimension of a Lagrangian subspace is half the dimension of V
Linear Algebra Refresher
Linear map or linear transformation T:V→W between vector spaces V and W preserves vector addition and scalar multiplication, i.e., T(u+v)=T(u)+T(v) and T(αv)=αT(v) for all u,v∈V and α∈R
Kernel or null space of a linear map T:V→W is defined as kerT={v∈V:T(v)=0}
Image or range of a linear map T:V→W is defined as imT={T(v):v∈V}
Rank-nullity theorem states that for a linear map T:V→W between finite-dimensional vector spaces, dimV=dimkerT+dimimT
Dual space V∗ of a vector space V is the space of linear functionals φ:V→R
Dual basis {e1∗,…,en∗} of V∗ is defined by ei∗(ej)=δij, where {e1,…,en} is a basis of V
Adjoint of a linear map T:V→W is the linear map T∗:W∗→V∗ defined by (T∗φ)(v)=φ(T(v)) for all φ∈W∗ and v∈V
Symplectic Structures and Forms
Symplectic form ω on a vector space V induces a natural isomorphism between V and its dual space V∗ given by v↦ω(v,⋅)
Symplectic form ω can be represented by a skew-symmetric matrix Ω with respect to a basis {e1,…,en,f1,…,fn}, where Ωij=ω(ei,ej) and Ωi,n+j=ω(ei,fj)
Standard symplectic matrix J=(0−InIn0) represents the standard symplectic form ω0 on R2n
Poisson bracket of two smooth functions F,G:V→R is defined as {F,G}=ω(XF,XG), where XF and XG are the Hamiltonian vector fields associated with F and G
Symplectic manifold is a smooth manifold M equipped with a closed, non-degenerate 2-form ω, called the symplectic form
Closedness of ω means that its exterior derivative vanishes, i.e., dω=0
Non-degeneracy of ω means that for every non-zero tangent vector v∈TpM, there exists a tangent vector w∈TpM such that ωp(v,w)=0
Darboux's Theorem and Local Structure
Darboux's theorem states that every symplectic manifold (M,ω) is locally isomorphic to the standard symplectic space (R2n,ω0)
Local isomorphism means that for every point p∈M, there exists a neighborhood U of p and a diffeomorphism φ:U→φ(U)⊆R2n such that φ∗ω0=ω∣U
Consequence of Darboux's theorem is that symplectic manifolds have no local invariants other than the dimension
Symplectic coordinates or Darboux coordinates on a symplectic manifold (M,ω) are local coordinates (q1,…,qn,p1,…,pn) such that ω=∑i=1ndqi∧dpi
Existence of symplectic coordinates is guaranteed by Darboux's theorem
Lagrangian submanifold of a symplectic manifold (M,ω) is a submanifold L⊆M of dimension 21dimM such that ω∣L=0
Locally, every Lagrangian submanifold can be described as the graph of a generating function in symplectic coordinates
Subspaces and Quotients in Symplectic Geometry
Symplectic subspace of a symplectic vector space (V,ω) is a subspace W⊆V such that the restriction ω∣W is a symplectic form on W
Equivalent characterization is that W∩Wω={0}
Symplectic reduction or Marsden-Weinstein reduction is a method for constructing lower-dimensional symplectic manifolds from a given symplectic manifold with symmetry
Let (M,ω) be a symplectic manifold and G a Lie group acting on M by symplectomorphisms, i.e., g∗ω=ω for all g∈G
Moment map μ:M→g∗ is a G-equivariant map satisfying dμX=ιXMω for all X∈g, where XM is the vector field on M generated by X
Marsden-Weinstein quotient is the space M//G=μ−1(0)/G, which inherits a symplectic structure from M
Coisotropic reduction is a generalization of symplectic reduction that allows for the construction of symplectic quotients from coisotropic submanifolds
Coisotropic submanifold C of a symplectic manifold (M,ω) is a submanifold satisfying (TC)ω⊆TC
Coisotropic reduction theorem states that if C is a coisotropic submanifold of (M,ω), then the quotient C/(TC)ω inherits a symplectic structure
Applications in Physics and Mechanics
Hamiltonian mechanics formulates classical mechanics using symplectic geometry
Phase space of a mechanical system is a symplectic manifold (M,ω), typically the cotangent bundle T∗Q of the configuration space Q
Hamiltonian function H:M→R represents the total energy of the system
Dynamics of the system are governed by Hamilton's equations q˙i=∂pi∂H and p˙i=−∂qi∂H, where (qi,pi) are canonical coordinates on M
Symplectic integrators are numerical methods for solving Hamilton's equations that preserve the symplectic structure of the phase space
Examples of symplectic integrators include the Störmer-Verlet method and the Gauss-Legendre Runge-Kutta methods
Optics and wave optics can be formulated using symplectic geometry, with the phase space being the space of rays or wavefronts
Fermat's principle of least time can be interpreted as a variational principle in a symplectic framework
Symplectic methods have been applied to the design of optical systems and the analysis of aberrations
Quantum mechanics can be formulated using symplectic geometry, with the phase space being the projective Hilbert space of quantum states
Schrödinger equation can be written as a Hamiltonian system with respect to the Fubini-Study symplectic form on the projective Hilbert space
Geometric quantization is a method for constructing quantum mechanical systems from classical systems using symplectic geometry
Problem-Solving Techniques and Examples
Identifying symplectic vector spaces and their properties
Example: Show that the space of complex numbers C with the symplectic form ω(z1,z2)=Im(z1z2) is a symplectic vector space
Example: Prove that the direct sum of symplectic vector spaces is a symplectic vector space with the natural symplectic form
Computing symplectic complements and Lagrangian subspaces
Example: Find the symplectic complement of the subspace W=span{(1,0,0,0),(0,1,0,0)} in (R4,ω0)
Example: Show that the subspace L={(x,y,x,y):x,y∈R} is a Lagrangian subspace of (R4,ω0)
Constructing symplectic bases and symplectic coordinates
Example: Find a symplectic basis for the symplectic vector space (R4,ω), where ω((x1,y1,x2,y2),(x1′,y1′,x2′,y2′))=x1y1′−y1x1′+2(x2y2′−y2x2′)
Example: Given the symplectic form ω=dx∧dy+2du∧dv on R4, find symplectic coordinates (q1,q2,p1,p2) such that ω=dq1∧dp1+dq2∧dp2
Applying symplectic reduction and coisotropic reduction
Example: Consider the symplectic vector space (R4,ω0) with the action of S1 given by θ⋅(x1,y1,x2,y2)=(x1cosθ−y1sinθ,x1sinθ+y1cosθ,x2,y2). Find the moment map and the Marsden-Weinstein quotient.
Example: Let C={(x,y,z,w)∈R4:x2+y2=1} be a submanifold of (R4,ω0). Show that C is coisotropic and find the reduced symplectic manifold.
Solving problems in Hamiltonian mechanics and other applications
Example: Given a Hamiltonian function $H(q, p) = \frac{1}{2}(p^2 + q