🔵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.

Key Concepts and Definitions

  • Symplectic vector space consists of an even-dimensional real vector space VV equipped with a non-degenerate, skew-symmetric bilinear form ω\omega
  • Non-degenerate bilinear form ω\omega implies that for every non-zero vector vVv \in V, there exists a vector wVw \in V such that ω(v,w)0\omega(v, w) \neq 0
  • Skew-symmetry of ω\omega means that for all vectors v,wVv, w \in V, ω(v,w)=ω(w,v)\omega(v, w) = -\omega(w, v)
    • Consequence of skew-symmetry is that ω(v,v)=0\omega(v, v) = 0 for all vVv \in V
  • Symplectic basis is a basis {e1,,en,f1,,fn}\{e_1, \ldots, e_n, f_1, \ldots, f_n\} of VV satisfying ω(ei,ej)=ω(fi,fj)=0\omega(e_i, e_j) = \omega(f_i, f_j) = 0 and ω(ei,fj)=δij\omega(e_i, f_j) = \delta_{ij}, where δij\delta_{ij} is the Kronecker delta
  • Symplectic group Sp(V,ω)\operatorname{Sp}(V, \omega) consists of linear transformations ϕ:VV\phi: V \to V that preserve the symplectic form, i.e., ω(ϕ(v),ϕ(w))=ω(v,w)\omega(\phi(v), \phi(w)) = \omega(v, w) for all v,wVv, w \in V
  • Hamiltonian vector field XHX_H associated with a smooth function H:VRH: V \to \mathbb{R} is defined by ω(XH,)=dH\omega(X_H, \cdot) = dH, where dHdH is the differential of HH

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)(\mathbb{R}^{2n}, \omega_0), where ω0\omega_0 is the standard symplectic form given by ω0(x,y)=i=1n(xiyn+ixn+iyi)\omega_0(x, y) = \sum_{i=1}^n (x_i y_{n+i} - x_{n+i} y_i) for x,yR2nx, y \in \mathbb{R}^{2n}
  • Every symplectic vector space (V,ω)(V, \omega) is isomorphic to (R2n,ω0)(\mathbb{R}^{2n}, \omega_0) for some nn, known as the Darboux theorem
  • Symplectic complement of a subspace WVW \subseteq V is defined as Wω={vV:ω(v,w)=0 for all wW}W^{\omega} = \{v \in V : \omega(v, w) = 0 \text{ for all } w \in W\}
    • Symplectic orthogonal complement satisfies (Wω)ω=W(W^{\omega})^{\omega} = W and dimW+dimWω=dimV\dim W + \dim W^{\omega} = \dim V
  • Lagrangian subspace is a subspace LVL \subseteq V satisfying L=LωL = L^{\omega}, i.e., it is equal to its own symplectic complement
    • Maximal dimension of a Lagrangian subspace is half the dimension of VV

Linear Algebra Refresher

  • Linear map or linear transformation T:VWT: V \to W between vector spaces VV and WW preserves vector addition and scalar multiplication, i.e., T(u+v)=T(u)+T(v)T(u + v) = T(u) + T(v) and T(αv)=αT(v)T(\alpha v) = \alpha T(v) for all u,vVu, v \in V and αR\alpha \in \mathbb{R}
  • Kernel or null space of a linear map T:VWT: V \to W is defined as kerT={vV:T(v)=0}\ker T = \{v \in V : T(v) = 0\}
  • Image or range of a linear map T:VWT: V \to W is defined as imT={T(v):vV}\operatorname{im} T = \{T(v) : v \in V\}
  • Rank-nullity theorem states that for a linear map T:VWT: V \to W between finite-dimensional vector spaces, dimV=dimkerT+dimimT\dim V = \dim \ker T + \dim \operatorname{im} T
  • Dual space VV^* of a vector space VV is the space of linear functionals φ:VR\varphi: V \to \mathbb{R}
    • Dual basis {e1,,en}\{e_1^*, \ldots, e_n^*\} of VV^* is defined by ei(ej)=δije_i^*(e_j) = \delta_{ij}, where {e1,,en}\{e_1, \ldots, e_n\} is a basis of VV
  • Adjoint of a linear map T:VWT: V \to W is the linear map T:WVT^*: W^* \to V^* defined by (Tφ)(v)=φ(T(v))(T^*\varphi)(v) = \varphi(T(v)) for all φW\varphi \in W^* and vVv \in V

Symplectic Structures and Forms

  • Symplectic form ω\omega on a vector space VV induces a natural isomorphism between VV and its dual space VV^* given by vω(v,)v \mapsto \omega(v, \cdot)
  • Symplectic form ω\omega can be represented by a skew-symmetric matrix Ω\Omega with respect to a basis {e1,,en,f1,,fn}\{e_1, \ldots, e_n, f_1, \ldots, f_n\}, where Ωij=ω(ei,ej)\Omega_{ij} = \omega(e_i, e_j) and Ωi,n+j=ω(ei,fj)\Omega_{i,n+j} = \omega(e_i, f_j)
    • Standard symplectic matrix J=(0InIn0)J = \begin{pmatrix} 0 & I_n \\ -I_n & 0 \end{pmatrix} represents the standard symplectic form ω0\omega_0 on R2n\mathbb{R}^{2n}
  • Poisson bracket of two smooth functions F,G:VRF, G: V \to \mathbb{R} is defined as {F,G}=ω(XF,XG)\{F, G\} = \omega(X_F, X_G), where XFX_F and XGX_G are the Hamiltonian vector fields associated with FF and GG
    • Poisson bracket satisfies skew-symmetry {F,G}={G,F}\{F, G\} = -\{G, F\}, Leibniz rule {F,GH}={F,G}H+G{F,H}\{F, GH\} = \{F, G\}H + G\{F, H\}, and Jacobi identity {{F,G},H}+{{G,H},F}+{{H,F},G}=0\{\{F, G\}, H\} + \{\{G, H\}, F\} + \{\{H, F\}, G\} = 0
  • Symplectic manifold is a smooth manifold MM equipped with a closed, non-degenerate 2-form ω\omega, called the symplectic form
    • Closedness of ω\omega means that its exterior derivative vanishes, i.e., dω=0d\omega = 0
    • Non-degeneracy of ω\omega means that for every non-zero tangent vector vTpMv \in T_pM, there exists a tangent vector wTpMw \in T_pM such that ωp(v,w)0\omega_p(v, w) \neq 0

Darboux's Theorem and Local Structure

  • Darboux's theorem states that every symplectic manifold (M,ω)(M, \omega) is locally isomorphic to the standard symplectic space (R2n,ω0)(\mathbb{R}^{2n}, \omega_0)
    • Local isomorphism means that for every point pMp \in M, there exists a neighborhood UU of pp and a diffeomorphism φ:Uφ(U)R2n\varphi: U \to \varphi(U) \subseteq \mathbb{R}^{2n} such that φω0=ωU\varphi^*\omega_0 = \omega|_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)(M, \omega) are local coordinates (q1,,qn,p1,,pn)(q_1, \ldots, q_n, p_1, \ldots, p_n) such that ω=i=1ndqidpi\omega = \sum_{i=1}^n dq_i \wedge dp_i
    • Existence of symplectic coordinates is guaranteed by Darboux's theorem
  • Lagrangian submanifold of a symplectic manifold (M,ω)(M, \omega) is a submanifold LML \subseteq M of dimension 12dimM\frac{1}{2}\dim M such that ωL=0\omega|_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)(V, \omega) is a subspace WVW \subseteq V such that the restriction ωW\omega|_W is a symplectic form on WW
    • Equivalent characterization is that WWω={0}W \cap W^{\omega} = \{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)(M, \omega) be a symplectic manifold and GG a Lie group acting on MM by symplectomorphisms, i.e., gω=ωg^*\omega = \omega for all gGg \in G
    • Moment map μ:Mg\mu: M \to \mathfrak{g}^* is a GG-equivariant map satisfying dμX=ιXMωd\mu_X = \iota_{X_M}\omega for all XgX \in \mathfrak{g}, where XMX_M is the vector field on MM generated by XX
    • Marsden-Weinstein quotient is the space M//G=μ1(0)/GM // G = \mu^{-1}(0) / G, which inherits a symplectic structure from MM
  • Coisotropic reduction is a generalization of symplectic reduction that allows for the construction of symplectic quotients from coisotropic submanifolds
    • Coisotropic submanifold CC of a symplectic manifold (M,ω)(M, \omega) is a submanifold satisfying (TC)ωTC(TC)^{\omega} \subseteq TC
    • Coisotropic reduction theorem states that if CC is a coisotropic submanifold of (M,ω)(M, \omega), then the quotient C/(TC)ωC / (TC)^{\omega} 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)(M, \omega), typically the cotangent bundle TQT^*Q of the configuration space QQ
    • Hamiltonian function H:MRH: M \to \mathbb{R} represents the total energy of the system
    • Dynamics of the system are governed by Hamilton's equations q˙i=Hpi\dot{q}_i = \frac{\partial H}{\partial p_i} and p˙i=Hqi\dot{p}_i = -\frac{\partial H}{\partial q_i}, where (qi,pi)(q_i, p_i) are canonical coordinates on MM
  • 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\mathbb{C} with the symplectic form ω(z1,z2)=Im(z1z2)\omega(z_1, z_2) = \operatorname{Im}(z_1 \overline{z_2}) 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)}W = \operatorname{span}\{(1, 0, 0, 0), (0, 1, 0, 0)\} in (R4,ω0)(\mathbb{R}^4, \omega_0)
    • Example: Show that the subspace L={(x,y,x,y):x,yR}L = \{(x, y, x, y) : x, y \in \mathbb{R}\} is a Lagrangian subspace of (R4,ω0)(\mathbb{R}^4, \omega_0)
  • Constructing symplectic bases and symplectic coordinates
    • Example: Find a symplectic basis for the symplectic vector space (R4,ω)(\mathbb{R}^4, \omega), where ω((x1,y1,x2,y2),(x1,y1,x2,y2))=x1y1y1x1+2(x2y2y2x2)\omega((x_1, y_1, x_2, y_2), (x_1', y_1', x_2', y_2')) = x_1 y_1' - y_1 x_1' + 2(x_2 y_2' - y_2 x_2')
    • Example: Given the symplectic form ω=dxdy+2dudv\omega = dx \wedge dy + 2du \wedge dv on R4\mathbb{R}^4, find symplectic coordinates (q1,q2,p1,p2)(q_1, q_2, p_1, p_2) such that ω=dq1dp1+dq2dp2\omega = dq_1 \wedge dp_1 + dq_2 \wedge dp_2
  • Applying symplectic reduction and coisotropic reduction
    • Example: Consider the symplectic vector space (R4,ω0)(\mathbb{R}^4, \omega_0) with the action of S1S^1 given by θ(x1,y1,x2,y2)=(x1cosθy1sinθ,x1sinθ+y1cosθ,x2,y2)\theta \cdot (x_1, y_1, x_2, y_2) = (x_1 \cos \theta - y_1 \sin \theta, x_1 \sin \theta + y_1 \cos \theta, x_2, y_2). Find the moment map and the Marsden-Weinstein quotient.
    • Example: Let C={(x,y,z,w)R4:x2+y2=1}C = \{(x, y, z, w) \in \mathbb{R}^4 : x^2 + y^2 = 1\} be a submanifold of (R4,ω0)(\mathbb{R}^4, \omega_0). Show that CC 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


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.