Created: 2026-03-06 07:59:30
Updated: 2026-03-06 08:17:02

RPn\mathbb{R}P^{n} is thee set of lines through the origin in Rn+1\mathbb{R}^{n+1}. If x0x\neq 0, xx defines a line through origin. If yRn+1y\in \mathbb{R}^{n+1} defines the same line if y=ax,a0y=ax,a\neq 0. Define this as equivalence relation \sim. Then RPn=(Rn+1{0})/\mathbb{R}P^{n}=(\mathbb{R}^{n+1}-\left\{0\right\})/ \sim. The x0,,xnx^{0},\dots,x^{n} are homogeneous coordinates, take coordinate neighbourhood Ui={xxi0}U_{i}=\{x\mid x^{i}\neq 0\}, and introduce inhomogeneous coordinate ξ(i)j=xjxi\xi_{\left(i\right)}^{j}=\frac{x^{j}}{x^{i}}, ξ(i)=ξ(i)j,(j{0,,n}{i})\xi_{(i)}=\xi_{(i)}^{j},\left(j\in\{0,\dots,n\}-\{i\}\right).

Grassmann manifold is the generalization of RPn\mathbb{R}P^{n}. Define Gk,n(R)G_{k,n}(\mathbb{R}) be the set of kk-dimensional planes in Rn\mathbb{R}^{n}. Note that G1,n+1(R)=RPnG_{1,n+1}(\mathbb{R})=\mathbb{R}P^{n}.

Let the set of k×nk\times n matrices of rank kk(knk\leq n) be Mk,n(R)M_{k,n}(\mathbb{R}). Take AMk,n(R)A\in M_{k,n}(\mathbb{R}), the k vectors aia_{i} in Rn\mathbb{R}^{n} is defined by ai=Aija_{i}=A_{ij}. The k vectors are linearly independent and spans a k-dimensional plane.

There are infinitely many matrices that yield the same k-plane. Take gGL(k,R)g\in GL(k,\mathbb{R}), consider Aˉ=gAMk,n(R)\bar{A}=gA\in M_{k,n}(\mathbb{R}). Aˉ\bar{A} defines the same k-plane as AA with basis changed. This defines a equivalence relation \sim: AˉA\bar{A}\sim A iff gGL(k,R),Aˉ=gA\exists g\in GL(k,\mathbb{R}),\bar{A}=gA. So we identify Gk,n(R)G_{k,n}(\mathbb{R}) with Mk,n(R)/GL(k,R)M_{k,n}(\mathbb{R}) / GL(k,\mathbb{R}).
Let A1,,AlA_{1},\dots,A_{l} be all l=(nk)l={n\choose k} minors of AA. Since rankA=k\text{rank}A=k, there must exist α\alpha such that detAα0\det A_{\alpha}\neq 0. Suppose α=1\alpha=1 for simplicity, denote this coordinate neighborhood by U1U_{1}. Then rewrite AA as (A1,A~1)(A_{1},\tilde{A}_{1}), where A~1\tilde{A}_{1} is k×(nk)k\times(n-k) matrix. Then select representative as A11A=(Ik,A11A~1)A_{1}^{-1}A=(I_{k},A_{1}^{-1}\tilde{A}_{1}). There must exist A11A_{1}^{-1} due to A1A_{1} is full rank. Then we know that atlas U1U_{1} of Gk,n(R)G_{k,n}(\mathbb{R}) is homeomorphic to Rk(nk)\mathbb{R}^{k(n-k)}, dimGk,n(R)=k(nk)\text{dim} G_{k,n}(\mathbb{R})=k(n-k). In the case detAα0\det A_{\alpha}\neq 0, where AαA_{\alpha} is composed columns (i1,,ik)(i_{1},\dots,i_{k}), Aα1AA_{\alpha}^{-1}A are unit vectors at column i1,,iki_{1},\dots,i_{k}. This subset of Mk,n(R)M_{k,n}(\mathbb{R}) is denoted by UαU_{\alpha}.

Product manifold: If M1={(Ui,φi)}M_{1}=\{\left(U_{i},\varphi_{i}\right)\} and M2={(Uj,φj)}M_{2}=\left\{(U_{j},\varphi_{j})\right\}, M1×M2={(Ui×Uj),(φi,ψj)}M_{1}\times M_{2}=\left\{(U_{i}\times U_{j}),(\varphi_{i},\psi_{j})\right\}, and has coordinate function (pM,qN)(φi(p),ψj(q))Rm+n(p\in M,q\in N)\to(\varphi_{i}(p),\psi_{j}(q))\in \mathbb{R}^{m+n}

Torus T2=S1×S1T^{2}=S^{1}\times S^{1}, and Tn=S1××S1nT^{n}=\underbrace{ S^{1}\times\dots \times S^{1} }_{ n }

5.2.2 Vectors

To define a tangent vector we need a curve c:(a,b)Mc: (a,b)\to M and a function f:MRf:M\to \mathbb{R}. The f(c(t)):(a,b)Rf(c(t)): (a,b)\to \mathbb{R} is a 1d function, its change rate is

df(c(t))dtt=0=fxμdxμ(c(t))dtt=0\left.\frac{df(c(t))}{dt} \right|_{t=0} = \frac{ \partial f }{ \partial x^{\mu} } \left.\frac{ \mathrm d x^{\mu}(c(t)) }{ \mathrm d t } \right|_{t=0}

This defines the vector X=Xμ(xμ)X=X^{\mu} \left( \frac{ \partial }{ \partial x^{\mu} } \right) and its effect on ff: X[f]=XμfxμX[f]=X^{\mu}\frac{ \partial f }{ \partial x^{\mu} }. All tangent vectors in point pMp\in M forms the tangent space of MM at pp, denoted by TpMT_{p}M.

The cotangent space TpM={ωω:TpMR}T_{p}^{*}M=\{\omega \mid \omega: T_{p}M\to \mathbb{R}\}. The simplest case is dfdf for fF(M)f\in \mathcal{F}(M), with df(V)=V(f)=VμfxμRdf(V)=V(f)=V^{\mu} \frac{ \partial f }{ \partial x^{\mu} }\in \mathbb{R}. Tensors T=qTpMrTpMT=\otimes ^{q}T_{p}^{*}M \otimes ^{r} T_{p}M.

5.2.6 Induced maps

A smooth map f:MNf:M\to N induces a map f:TpMTf(p)Nf_{*}:T_{p}M\to T_{f(p)}N: (fV)[g]V[gf]\left(f_{*}V\right)[g]\equiv V[g\circ f], and it also induces a pullback f:Tf(p)NTpMf^*: T_{f(p)}^*N\to T_{p}^*M: <fω,V><ω,fV>\left<f^* \omega, V\right> \equiv \left<\omega,f_{*}V\right>

5.3 Flows and Lie derivatives

The integral curve σ(t,x0)\sigma(t,x_{0}) of a vector XX which passes a point x0x_{0} at t=0t=0 is a flow generated by XX, if dσμ(t,x0)dt=Xμ(σ(t,x0))\frac{d\sigma ^{\mu}(t,x_{0})}{dt}= X^{\mu}(\sigma(t,x_{0})) with initial condition σμ(0,x0)=x0μ\sigma ^{\mu}(0,x_{0})=x_{0}^{\mu}. The flow σ(t,x)\sigma(t,x) is a diffeomorphism from MM to MM for fixed tRt\in \mathbb{R}, and is a commutative group: σtσs(x)=σt+s(x)\sigma_{t}\circ \sigma_{s}(x)=\sigma_{t+s}(x), σ0=I\sigma_{0}=I, σt=σt1\sigma_{-t}=\sigma_{t}^{-1}, so for infinitesimal ϵ\epsilon, σϵμ(x)=σμ(ϵ,x)=xμ+ϵXμ(x)\sigma_{\epsilon}^{\mu}(x)=\sigma ^{\mu}(\epsilon,x)=x^{\mu}+\epsilon X^{\mu}(x)

Note that σϵ\sigma_{-\epsilon} generates a map (σϵ):Tσϵ(x)MTxM(\sigma_{-\epsilon})_{*}:T_{\sigma_{\epsilon}(x)}M\to T_{x}M, so we can move Yσϵ(x)Y|_{\sigma_{\epsilon}(x)} to YxY|_{x} and differentiate them: the Lie derivative is defined as LXY=limϵ01ϵ[(σϵ)Yσϵ(x)Yx]\mathcal{L}_{X}Y= \lim_{ \epsilon \to 0 } \frac{1}{\epsilon}[(\sigma_{-\epsilon})_{*}Y|_{\sigma_{\epsilon}(x)}-Y|_{x}], where σ\sigma is the flow of XX.

Yσϵ(x)=Yμ(xν+ϵXν(x))eμx+ϵX[Yμ(x)+ϵXν(x)νYμ(x)]eμx+ϵX\begin{equation} \begin{aligned} Y|_{\sigma_{\epsilon}(x)} & = Y^{\mu}(x^{\nu}+\epsilon X^{\nu}(x)) e_{\mu} | _{x+\epsilon X} \\ & \simeq [Y^{\mu}(x)+\epsilon X^{\nu}(x) \partial_{\nu} Y^{\mu}(x)] e_{\mu}|_{x+\epsilon X} \\ \end{aligned} \end{equation}

where eμ=xμe_{\mu}= \frac{ \partial }{ \partial x^{\mu} }. If we map this vector defined at σϵ(x)\sigma_{\epsilon}(x) to xx by (σϵ)(\sigma_{-\epsilon})_{*}, we obtain

[Yμ(x)+ϵXλ(x)λYμ(x)]μ[xνϵXν(x)]eνx=[Yμ(x)+ϵXλ(x)λYμ(x)][δμνϵμXν(x)]eνx=Yμ(x)eμx+ϵ[Xμ(x)μYν(x)Yμ(x)μXν(x)]eνx+O(ϵ2)\begin{align} & [Y^{\mu}(x) + \epsilon X^{\lambda }(x) \partial_{\lambda}Y^{\mu}(x)] \partial_{\mu}[x^{\nu}-\epsilon X^{\nu}(x)]e_{\nu}|_{x} \\ & = [Y^{\mu}(x) + \epsilon X^{\lambda}(x)\partial_{\lambda}Y^{\mu}(x)] [ \delta ^{\nu}_{\mu} - \epsilon \partial_{\mu}X^{\nu}(x)]e_{\nu}|_{x} \\ & =Y ^{\mu}(x) e_{\mu}|_{x} + \epsilon [X^{\mu}(x)\partial_{\mu}Y^{\nu}(x)-Y^{\mu}(x)\partial_{\mu}X^{\nu}(x)]e_{\nu}|_{x} + O(\epsilon ^{2}) \end{align}

So LXY=(XμμYνYμμXν)eν\mathcal{L}_{X}{Y}=(X^{\mu}\partial_{\mu}Y^{\nu}-Y^{\mu}\partial_{\mu}X^{\nu}) e_{\nu}. define [X,Y][X,Y] by [X,Y]f=X[Y[f]]Y[X[f]][X,Y]f=X[Y[f]]-Y[X[f]], so LXY=[X,Y]\mathcal{L}_{X}Y=[X,Y]

Geometrically, the Lie bracket shows the non-commutativity of two flows. Consider two flow σ(s,x),τ(t,x)\sigma(s,x),\tau(t,x) generated by vector fields X,YX,Y, if we first move ϵ\epsilon along flow σ\sigma then move δ\delta along τ\tau, we get the coordinate

τμ(δ,σ(ε,x))τμ(δ,xν+εXν(x))xμ+εXμ(x)+δYμ(xν+εXν(x))xμ+εXμ(x)+δYμ(x)+εδXν(x)νYν(x).\begin{aligned} \tau^\mu(\delta, \sigma(\varepsilon, x)) & \simeq \tau^\mu\left(\delta, x^\nu+\varepsilon X^\nu(x)\right) \\ & \simeq x^\mu+\varepsilon X^\mu(x)+\delta Y^\mu\left(x^\nu+\varepsilon X^\nu(x)\right) \\ & \simeq x^\mu+\varepsilon X^\mu(x)+\delta Y^\mu(x)+\varepsilon \delta X^\nu(x) \partial_\nu Y^\nu(x) . \end{aligned}

If we do this reversed,

σμ(ε,τ(δ,x))σμ(ε,xν+δYν(x))xμ+δYμ(x)+εXμ(xν+δYν(x))xμ+δYμ(x)+εXμ(x)+εδYν(x)νXμ(x).\begin{aligned} \sigma^\mu(\varepsilon, \tau(\delta, x)) & \simeq \sigma^\mu\left(\varepsilon, x^\nu+\delta Y^\nu(x)\right) \\ & \simeq x^\mu+\delta Y^\mu(x)+\varepsilon X^\mu\left(x^\nu+\delta Y^\nu(x)\right) \\ & \simeq x^\mu+\delta Y^\mu(x)+\varepsilon X^\mu(x)+\varepsilon \delta Y^\nu(x) \partial_\nu X^\mu(x) . \end{aligned}

The difference is

τμ(δ,σ(ϵ,x))σμ(ϵ,τ(δ,x))=ϵδ[X,Y]μ\tau ^{\mu}(\delta,\sigma(\epsilon,x))-\sigma ^{\mu}(\epsilon,\tau(\delta,x)) = \epsilon\delta[X,Y]^{\mu}

  • Bilinearity [X,c1Y1+c2Y2]=c1[X,Y1]+c2[X,Y2][X,c_{1}Y_{1}+c_{2}Y_{2}]=c_{1}[X,Y_{1}]+c_{2}[X,Y_{2}], [c1X1+c2X2,Y]=c1[X1,Y]+c2[X2,Y][c_{1}X_{1}+c_{2}X_{2},Y]=c_{1}[X_{1},Y]+c_{2}[X_{2},Y]
  • skey-symmetry [X,Y]=[Y,X][X,Y]=-[Y,X]
  • Jacobi identity [[X,Y],Z]+[[Z,X],Y]+[[Y,Z],X]=0[[X,Y],Z]+[[Z,X],Y]+[[Y,Z],X]=0

We may define Lie derivative of a one-form ωΩ1(M)\omega\in\Omega ^{1}(M) along XX(M)X\in \mathcal{X}(M) by

LXωlimϵ01ϵ[(σϵ)ωσϵ(x)ωx]\begin{equation} \mathcal{L}_{X}\omega \equiv \lim_{ \epsilon \to 0 } \frac{1}{\epsilon}[(\sigma_{\epsilon})^{*}\omega|_{\sigma_{\epsilon}(x)}-\omega|_{x}] \end{equation}

where ωxTxM\omega|_{x}\in T_{x}^{*}M is ω\omega at xx. Put ω=ωμdxμ\omega=\omega_{\mu}dx^{\mu}, Repeating a similar analysis as before,

(σϵ)ωσϵ(x)=ωμ(x)dxμ+ϵ[Xν(x)νωμ(x)+μXν(x)ων(x)]dxμ\begin{equation} (\sigma_{\epsilon})^{*}\omega|_{\sigma_{\epsilon}(x)} = \omega_{\mu}(x)dx^{\mu} + \epsilon[X^{\nu}(x)\partial_{\nu }\omega_{\mu}(x)+\partial_{\mu}X^{\nu}(x)\omega_{\nu}(x)]dx^{\mu} \end{equation}

which leads to

LXω=(Xννωμ+μXνων)dxμ\begin{equation} \mathcal{L}_{X}\omega = (X^{\nu}\partial_{\nu}\omega_{\mu}+\partial_{\mu}X^{\nu}\omega_{\nu})dx^{\mu} \end{equation}

Clearly this belongs to Tx(M)T_{x}^{*}(M). The Lie derivative of fF(M)f\in \mathcal{F}(M) along flow σs\sigma_{s} generated by vector field XX is

LXflimϵ01ϵ[f(σϵ(x))f(x)]=Xμ(x)fxμ=X[f]\begin{equation} \mathcal{L}_{X}f \equiv \lim_{ \epsilon \to 0 } \frac{1}{\epsilon} [f(\sigma_{\epsilon}(x))-f(x)] = X^{\mu}(x) \frac{ \partial f }{ \partial x^{\mu} } =X[f] \end{equation}

  • LX(t1+t2)=LXt1+LXt2\mathcal{L}_{X}(t_{1}+t_{2})=\mathcal{L}_{X}t_{1}+\mathcal{L}_{X}t_{2}
  • LX(t1t2)=(LXt1)t2+t1(LXt2)\mathcal{L}_{X}(t_{1}\otimes t_{2})=(\mathcal{L}_{X}t_{1})\otimes t_{2}+t_{1}\otimes(\mathcal{L}_{X}t_{2})

5.4 Differential forms

5.4.3 Interior product, Lie derivative of forms

Define the exterior product of a qq-form and an rr-form :Ωpr(M)×Ωpr(M)Ωpq+r(M)\wedge:\Omega_{p}^{r}(M)\times \Omega_{p}^{r}(M) \to \Omega_{p}^{q+r}(M) by a trivial extension. Let ωΩpq(M)\omega\in\Omega_{p}^{q}(M) and ξΩpr(M)\xi\in\Omega_{p}^{r}(M), for example. The action of the (q+r)(q+r)-form ωξ\omega \wedge \xi on q+rq+r vectors is defined by

(ωξ)(V1,,Vq+r)=1q!r!PSq+rsgn(P)ω(VP(1),,VP(q))ξ(VP(q+1),,VP(q+r))\begin{equation} (\omega \wedge \xi)(V_{1},\dots,V_{q+r}) = \frac{1}{q!r!}\sum_{P\in S_{q+r}}\text{sgn}(P)\omega(V_{P(1)},\dots,V_{P(q)}) \xi(V_{P(q+1)},\dots,V_{P(q+r)}) \end{equation}

Define an algebra with this product:

Ωp(M)=n=0mΩpn(M)\begin{equation} \Omega_{p}^{*}(M) = \bigoplus_{n=0}^{m} \Omega_{p}^{n}(M) \end{equation}

iX:Ωr(M)Ωr1(M)i_{X}:\Omega ^{r}(M)\to\Omega ^{r-1}(M) where XX(M)X\in \mathcal{X}(M) is defined as

iXω(X1,,Xr1)ω(X,X1,,Xr1)i_{X}\omega(X_{1},\dots,X_{r-1}) \equiv \omega(X,X_{1},\dots,X_{r-1})

For X=XμxμX=X^{\mu}\frac{ \partial }{ \partial x^{\mu} } and ω=(1r!)ωμ1μrdxμ1dxμr\omega= (\frac{1}{r!}) \omega_{\mu_{1}\dots \mu_{r}}dx^{\mu_{1}}\wedge\dots\wedge dx^{\mu_{r}} we have

iXω=1(r1)!Xνωνμ2μrdxμ2dxμr\begin{equation} i_{X}\omega = \frac{1}{(r-1)!} X^{\nu}\omega_{\nu \mu_{2}\dots \mu_{r}} dx^{\mu_{2}}\wedge\dots \wedge dx^{\mu_{r}} \end{equation}

For example, let (x,y,z)(x,y,z) be coordinates of R3\mathbb{R}^{3}. Then

iex(dxdy)=dy,iex(dydz)=0,iex(dzdx)=dz\begin{equation} i_{e_{x}}(dx\wedge dy) = dy,i_{e_{x}}(dy\wedge dz)=0, i_{e_{x}}(dz\wedge dx)=-dz \end{equation}

The Lie derivative of a form is most neatly written with interior product: Let ω=ωμdxμ\omega=\omega_{\mu}dx^{\mu} be a one-form,

(diX+iXd)ω=d(Xμωμ)+iX[12(μωννωμ)dxμdxν]=(ωμνXμ+Xμνωμ)dxν+Xμ(μωννωμ)dxν=(ωμνXμ+Xμμων)dxν\begin{equation} \begin{aligned} (di_{X}+i_{X}d)\omega & = d(X^{\mu}\omega_{\mu}) + i_{X}\left[ \frac{1}{2}(\partial_{\mu}\omega_{\nu}-\partial_{\nu}\omega_{\mu})dx^{\mu}\wedge dx^{\nu} \right] \\ & = (\omega_{\mu}\partial_{\nu}X^{\mu}+X^{\mu}\partial_{\nu}\omega_{\mu})dx^{\nu } + X^{\mu}(\partial_{\mu}\omega_{\nu}-\partial_{\nu}\omega_{\mu})dx^{\nu} \\ & = (\omega_{\mu}\partial_{\nu}X^{\mu}+X^{\mu}\partial_{\mu}\omega_{\nu})dx^{\nu} \end{aligned} \end{equation}

We find that LXω=(diX+iXd)ω\mathcal{L}_{X}\omega=(di_{X}+i_{X}d)\omega. This is also true for a general rr-form.

Let X,YX(M)X,Y\in \mathcal{X}(M) and ωΩr(M)\omega\in\Omega ^{r}(M). Show that

i[X,Y]ω=X(iYω)Y(iXω)\begin{equation} i_{[X,Y]}\omega = X(i_{Y}\omega)- Y(i_{X}\omega) \end{equation}

and iXi_{X} is an anti-derivation:

iX(ωη)=iXωη+()rωiXη\begin{equation} i_{X}(\omega \wedge \eta)= i_{X}\omega \wedge \eta + (-)^{r} \omega \wedge i_{X}\eta \end{equation}

and nilptent: iX2=0i_{X}^{2}=0. Use the nilpotency to prove

LXiXω=iXLXω\begin{equation} \mathcal{L}_{X}i_{X}\omega = i_{X}\mathcal{L}_{X}\omega \end{equation}

Reformulate Hamiltonian mechanics in terms of differential forms: Let HH be hamiltonian and (qμ,pμ)(q^{\mu},p_{\mu}) be its phase space.

Define 2-form ω=dpμdqμ\omega=dp_{\mu}\wedge dq^{\mu}, called symplectic two-form.

Itroduce a one-form θ=qμdpμ\theta=q^{\mu}dp_{\mu} then ω=dθ\omega=d\theta. Given a function f(p,q)f(p,q) in phase space, define Hamiltonian vector field

Xf=fpμqμfqμpμ\begin{equation} X_{f}= \frac{ \partial f }{ \partial p_{\mu} } \frac{ \partial }{ \partial q^{\mu} } - \frac{ \partial f }{ \partial q^{\mu} } \frac{ \partial }{ \partial p_{\mu} } \end{equation}

Easy to verify:

iXfω=fpμdpμfqμdqμ=df\begin{equation} i_{X_{f}}\omega = - \frac{ \partial f }{ \partial p_{\mu} } dp_{\mu} - \frac{ \partial f }{ \partial q^{\mu} } dq^{\mu}=-df \end{equation}

Let f=Hf=H, XHX_{H} is vector field generated by Hamiltonian function, we obtain from Hamiltonian eq. of motion

dqμdt=Hpμ,dpμdt=Hqμ\begin{equation} \frac{dq^{\mu}}{dt}= \frac{ \partial H }{ \partial p_{\mu} } , \frac{dp_{\mu}}{dt}= -\frac{ \partial H }{ \partial q^{\mu} } \end{equation}

XH=ddt\begin{equation} X_{H} = \frac{d}{dt} \end{equation}

The symplectic 2-form ω\omega is invariant along the flow generated by XHX_{H}:

LXHω=d(iXHω)+iXH(dω)=d(iXHω)=d2H=0\begin{equation} \mathcal{L}_{X_{H}}\omega = d(i_{X_{H}}\omega) + i_{X_{H}}(d\omega)= d(i_{X_{H}}\omega)=-d^{2}H=0 \end{equation}

Conversely if XX satisfies LXω=0\mathcal{L}_{X}\omega=0, H\exists H such that Hamilton's eq of motion is satisfied along the flow generated by X. This follows from previos observation that LXω=d(iXω)=0\mathcal{L}_{X}\omega=d(i_{X}\omega)=0, so H\exists H s.t. iXω=dHi_{X}\omega=-dH.

iXf(iXgω)=iXf(dg)=[f,g]PB\begin{equation} i_{X_{f}}(i_{X_{g}}\omega)= -i_{X_{f}}(dg) = [f,g]_{PB} \end{equation}

5.5. Integration of differential forms

For an orientable manifold, take a volume element ω\omega. Function f:MRf:M\to \mathbb{R} has integration over neiborhood UiU_{i} defined by an mm-form fωf\omega:

Uifω=φ(Ui)f(φi1(x))h(φi1(x))dx1dxm\begin{equation} \int _{U_{i}}f\omega = \int _{\varphi(U_{i})} f(\varphi_{i}^{-1}(x))h(\varphi_{i}^{-1}(x)) \, dx^{1}\dots dx^{m} \end{equation}

Once the integral of ff over UiU_{i} is defined, the integral over whole MM is given with the help of the partition of unity defined now:

Take an open covering {Ui}\{U_{i}\} of MM such that each point of MM is covered with a finite number of UiU_{i}. If a family of differentiable functions satisfies

  1. 0ϵi(p)10\leq\epsilon_{i}(p)\leq1
  2. ϵi(p)=0\epsilon_{i}(p)=0 if pUip\notin U_{i} and
  3. ϵ1(p)+=1\epsilon_{1}(p)+\dots=1 for any point pMp\in M
    the family {ϵ(p)}\{\epsilon(p)\} is called a partition of unity subordinate to the covering {Ui}\{U_{i}\}.

It follows that f(p)=if(p)ϵi(p)=ifi(p)f(p)=\sum_{i}f(p)\epsilon_{i}(p)=\sum_{i}f_{i}(p), then we maydefine the integral by

Mfω=iUifiω\begin{equation} \int _{M}f \, \omega = \sum_{i}\int _{U_{i}} f_{i}\omega \end{equation}

e.g. atlas of S1S^{1} is U1=S1{(1,0)}U_{1}=S^{1}-\{(1,0)\} and U2=S1{(1,0)}U_{2}=S^{1}-\{\left(-1,0\right)\}. ϵ1(θ)=sin2θ2\epsilon_{1}(\theta)=\sin ^{2} \frac{\theta}{2} and ϵ2(θ)=cos2θ2\epsilon_{2}(\theta) = \cos ^{2} \frac{\theta}{2} is a partition of unity subordinate to {Ui}\{U_{i}\}. Let us integrate a function f=cos2θf=\cos ^{2}\theta.

S1dθcos2θ=02πdθsin2θ2cos2θ+ππdθcos2θ2cos2θ=π\begin{equation} \int _{S^{1}} \, d\theta \cos ^{2}\theta = \int _{0}^{2\pi} \, d\theta \sin ^{2} \frac{\theta}{2} \cos ^{2}\theta + \int _{-\pi}^{\pi} \, d\theta \cos ^{2} \frac{\theta}{2} \cos ^{2}\theta = \pi \end{equation}

We have left hh arbitrary provided it is strictly positive so far. hh is multiplied by Jacobian under change of coordinates, there is no canonical way to single out the component hh; h=1h=1 in one coordinate might not imply h=1h=1 in other. The situation changes if the manifold is endowed with a metric.

5.6. Lie groups and Lie algebra

5.6.2 Lie algebras

Left and right translation of gGg\in G by aa is defined by

Rag=ga,Lag=ag\begin{equation} R_{a}g=ga,L_{a}g=ag \end{equation}

they are diffeomorphisms from GG to GG. Vector field XX on a Lie group GG is left-invariant vector field if LaXg=XagL_{a^{*}}X|_{g}=X|_{ag}

The left-invariant vector field satisfies

LaXg=Xμ(g)xν(ag)xμ(g)xνag=Xν(ag)xνag\begin{equation} L_{a^{*}}X|_{g} =\left. X^{\mu}(g) \frac{ \partial x^{\nu}(ag) }{ \partial x^{\mu}(g) } \frac{ \partial }{ \partial x^{\nu} }\right |_{ag} = \left. X^{\nu}(ag) \frac{ \partial }{ \partial x^{\nu} } \right|_{ag} \end{equation}

A vector VTeGV\in T_{e}G defines a unique left-invariant vector field XVX_{V} throughout GG by

XVg=LgV,gG\begin{equation} X_{V}|_{g} =L_{g^{*}}V,g\in G \end{equation}

because XVag=LagV=(LaLg)V=LaLgV=LaXVgX_{V}|_{ag}=L_{ag^{*}}V=(L_{a}L_{g})_{*}V=L_{a *}L_{g *}V=L_{a *}X_{V}|_{g}. Conversely a left-invariant vector field XX defines a unique vector V=XeTeGV=X|_{e}\in T_{e}G. Denote the set of left-invariant vector fields g\mathfrak{g}.

We show that g\mathfrak{g} is closed under Lie bracket: Take two points g,ag=Lagg,ag=L_{a}g, apply LaL_{a *} to Lie bracket [X,Y][X,Y] of X,YgX,Y\in \mathfrak{g}, we have

La[X,Y]g=[LaXg,LaYg]=[X,Y]ag\begin{equation} L_{a *} [X,Y]|_{g} = [L_{a *}X|_{g},L_{a *}Y|_{g}] = [X,Y]|_{ag} \end{equation}

where left invariances of X,YX,Y have been used. thus [X,Y]g[X,Y]\in \mathfrak{g}.

GL(n,R)GL(n,\mathbb{R}) have n2n^{2} entries xijx^{ij} as its coordinates. The unit element e=In=δije=I_{n}=\delta ^{ij}. Let g={xij(g)}g=\{x^{ij}(g)\}, a={xij(a)}a=\{x^{ij}(a)\} be elements of GL(n,R)GL(n,\mathbb{R}). The left translation is Lag=ag=kxik(a)xkj(g)L_{a}g=ag=\sum_{k}x^{ik}(a)x^{kj}(g). Take a vector V=VijxijeTeGV=\sum V^{ij} \frac{ \partial }{ \partial x^{ij} }|_{e}\in T_{e}G where VijV^{ij} are the entries of VV. The left-invariant vector field generated by VV is

XVg=LgV=xki(g)Vijxkjg=(gV)kjxkjg\begin{equation} X_{V}|_{g}= L_{g * }V = \sum x^{ki}(g)V^{ij} \left.\frac{ \partial }{ \partial x^{kj} } \right|_{g} = \sum(gV)^{kj} \left.\frac{ \partial }{ \partial x^{kj} } \right|_{g} \end{equation}

The gVgV is the usual matrix multiplication of gg and VV. The vector XVgX_{V}|_{g} is often abbreviated as gVgV since it gives the components of the vector.

The Lie bracket of XVX_{V} and XWX_{W} generated by V=VijxijeV=V^{ij} \frac{ \partial }{ \partial x^{ij} }|_{e} and W=WijxijeW=W^{ij} \frac{ \partial }{ \partial x^{ij} }|_{e} is

[XV,XW]g=(g[V,W])ijxijg\begin{equation} [X_{V},X_{W}]|_{g} = \sum(g[V,W])^{ij} \left.\frac{ \partial }{ \partial x^{ij} } \right|_{g} \end{equation}

These relations remain true for any matrix group, we establish that

LgV=gV,[XV,XW]g=Lg[V,W]=g[V,W]\begin{equation} L_{g *}V = gV, [X_{V},X_{W}]|_{g} = L_{g *}[V,W] = g[V,W] \end{equation}

The set of left-invariant vector fields g\mathfrak{g} with Lie bracket [,]:g×gg[\cdot,\cdot]:\mathfrak{g}\times \mathfrak{g}\to \mathfrak{g} is called the Lie algebra of a Lie group GG.

5.6.3 The one-parameter subgroup

5.6.4 Frames and structure equation

Let the set of nn vectors {V1,V2,,Vn}\{V_{1},V_{2},\dots,V_{n}\} be a basis of TeGT_{e}G where n=dimGn=\text{dim}G. The basis defines the set of nn linearly independent left-invariant vector fields {X1,,Xn}\{X_{1},\dots,X_{n}\} at each point GG defined by Xμg=LgVμX_{\mu}|_{g}=L_{g *}V_{\mu}. Since [Xμ,Xν]g[X_{\mu},X_{\nu}]|_{g} is again an element of gg, it can be expanded in terms of {Xμ}\{X_{\mu}\} as

[Xμ,Xν]=cμνλXλ\begin{equation} [X_{\mu},X_{\nu}]=c_{\mu \nu}{}^{\lambda}X_{\lambda} \end{equation}

where cμνλc_{\mu \nu}{}^{\lambda} are structure constants of Lie group GG. If GG is matrix group, the LHS at g=eg=e is precisely the commutator of matrices VμV_{\mu} and VνV_{\nu}; We may show that structure constants are indeed constants independent of gg. Acting LgL_{g *} to Lie bracket,

[Xμ,Xν]g=cμνλ(e)Xλg\begin{equation} [X_{\mu},X_{\nu}]|_{g} = c_{\mu \nu}{}^{\lambda} (e) X_{\lambda}|_{g} \end{equation}

which shows the gg-independence. The structure constants determine a Lie group completely in a sense.

  • skew-symmetry: cμνλ=cνμλc_{\mu \nu}{}^{\lambda}=-c_{\nu \mu}{}^{\lambda}
  • Jacobi identity: cμντcτρλ+cρμτcτνλ+cνρτcτμλ=0c_{\mu \nu}{}^{\tau}c_{\tau \rho}{}^{\lambda}+c_{\rho \mu}{}^{\tau}c_{\tau \nu}{}^{\lambda}+c_{\nu \rho}{}^{\tau}c_{\tau \mu}{}^{\lambda}=0

Introduce dual basis {θμ}\{\theta ^{\mu}\}: θμ,Xν=δνμ\langle\theta ^{\mu},X_{\nu}\rangle=\delta ^{\mu}_{\nu}. We show that the dual basis satisfies Maurer-Cartan's structure equation,

dθμ=12cνλμθνθλ\begin{equation} d\theta ^{\mu}= -\frac{1}{2}c_{\nu\lambda}^{\mu}\theta ^{\nu}\wedge\theta ^{\lambda} \end{equation}

This could be seen by:

dθμ(Xν,Xλ)=Xν[θμ(Xλ)]Xλ[θμ(Xν)]θμ([Xν,Xλ])=Xν[δλμ]Xλ[δνμ]θμ(cνλκXκ)=cνλμ\begin{equation} \begin{aligned} d\theta ^{\mu}(X_{\nu},X_{\lambda}) & =X_{\nu}[\theta ^{\mu}(X_{\lambda})]-X_{\lambda}[\theta ^{\mu}(X_{\nu})]-\theta ^{\mu}([X_{\nu},X_{\lambda}]) \\ & = X_{\nu}[\delta ^{\mu}_{\lambda}] - X_{\lambda}[\delta ^{\mu}_{\nu}] - \theta ^{\mu}(c_{\nu\lambda}^{\kappa}X_{\kappa}) \\ & =-c_{\nu\lambda}^{\mu} \end{aligned} \end{equation}

Define the canonical one-form or Maurer-Cartan form on GG θ:TgGTeG\theta:T_{g}G\to T_{e}G by

θ:X(Lg1)X=(Lg)1X,XTgG\begin{equation} \theta:X\mapsto (L_{g^{-1} *})X = (L_{g })^{-1}_{*} X,\qquad X\in T_{g}G \end{equation}

The canonical one-form θ\theta can be expanded as θ=Vμθμ\theta=V_{\mu}\otimes \theta ^{\mu}, where {Vμ}\{V_{\mu}\} is the basis of TeGT_{e}G, {θμ}\{\theta ^{\mu}\} is the dual basis TeGT_{e}^{*}G .

The canonical one-form satisfies

dθ+12[θθ]=0\begin{equation} d\theta + \frac{1}{2}[\theta \wedge\theta]=0 \end{equation}

where dθVμdθμd\theta\equiv V_{\mu}\otimes d\theta ^{\mu},[θθ][Vμ,Vν]θμθν[\theta \wedge\theta]\equiv[V_{\mu},V_{\nu}]\otimes\theta ^{\mu}\wedge\theta ^{\nu}

5.7 The action of Lie groups on manifolds

Lie groups often appears as transformations acting on a manifold, e.g. SO(3)SO(3) is the rotations in R3\mathbb{R}^{3}, Poincare group is the set of transformations acting on Minkowski spacetime.

Let GG be a Lie group and MM a manifold. The action of GG on MM is a differentiable map σ:G×MM\sigma:G\times M\to M which satisfies

  • σ(e,p)=p,pM\sigma(e,p)=p,\forall p\in M
  • σ(g1,σ(g2,p))=σ(g1g2,p)\sigma(g_{1},\sigma(g_{2},p))=\sigma(g_{1}g_{2},p)
    We often use gpgp notation for σ(g,p)\sigma(g,p)

examples: SL(2,C)SL(2,\mathbb{C}) can be mapped to O(1,3)O(1,3): ASL(2,C),xM4,Ax:=AX(x)A=X(Ox),OO(1,3)A\in SL(2,\mathbb{C}),x\in M_{4},Ax:=AX(x)A^{\dagger}=X(Ox),O\in O(1,3), where xμ=12Tr(σμX)x^{\mu}=\frac{1}{2}\mathrm{Tr}(\sigma_{\mu}X), σμ=(I,X,Y,Z)\sigma_{\mu}=(I,X,Y,Z). Note AA and A-A gives the same element of O(1,3)O(1,3).

A=exp[iθ2(nσ)]=cosθ2I2i(nσ)sinθ2\begin{equation} A= \exp\left[-i \frac{\theta}{2}(n\cdot\sigma)\right]= \cos \frac{\theta}{2} I_{2} -i (n\cdot\sigma)\sin \frac{\theta}{2} \end{equation}

is mapped to rotation about nn by angle θ\theta, i.e. O(3)O(3) subgroup of O(1,3)O(1,3). A(θ+2π)=A(θ)A(\theta+2\pi)=-A(\theta) in SL(2,C)SL(2,\mathbb{C}) but they map to same element in O(3)O(3). The boost along n^\hat{n} with v=tanhαv=\tanh \alpha is

A=exp[α2(nσ)]\begin{equation} A=\exp\left[\frac{\alpha}{2}(n\cdot\sigma)\right] \end{equation}

In fact, this map is an one-to-one correspondence from SL(2,C)SL(2,\mathbb{C}) to O+(1,3)={ΛO(1,3)detΛ=1,Λ00>0}O^{\uparrow}_{+}(1,3)=\{\Lambda\in O(1,3)|\det\Lambda=1,\Lambda_{00}>0\}

The action σ\sigma is said to be

  • transitive if p1,p2M\forall p_{1},p_{2}\in M, gG\exists g\in G, σ(g,p1)=p2\sigma(g,p_{1})=p_{2}
  • free if ge\forall g\neq e has no fixed points in MM; in other words, if pM\exists p\in M such taht σ(g,p)=p\sigma(g,p)=p, g=eg=e.
  • effective if the unit element eGe\in G is the unique element that defines the trivial action on MM, i.e. if σ(g,p)=p\sigma(g,p)=p for all pMp\in M, then gg must be unit element ee.

5.7.2 Orbits, isotropy groups

The orbit of pp under action σ\sigma is defined by

Gp={σ(g,p)gG}\begin{equation} Gp= \left\{\sigma(g,p)|g\in G\right\} \end{equation}

If the action is transitive the orbit of any pMp\in M is MM.

The isotropy group of pMp\in M is a subgroup of GG defined by

H(p)={gGσ(g,p)=p}\begin{equation} H(p)= \left\{g\in G|\sigma(g,p)=p\right\} \end{equation}

which is also called little group or stabilizer group of pp.

Let GG be a Lie group acting on MM transitively and H(p)H(p) be an isotropy group of pMp\in M. H(p)H(p) is a Lie subgroup and the coset space G/H(p)G / H(p) is a homogeneous space. If they satisfy certain requirements, G/H(p)G/H(p) is homeomorphic to MM.

Let G=SO(3)G=SO(3) acting on R3\mathbb{R}^{3}, H=SO(2)H=SO(2) be the isotropy group of xR3x\in \mathbb{R}^{3}. SO(3)SO(3) acts on S2S^{2} transitively and we have SO(3)/SO(2)S2SO(3) / SO(2)\cong S^{2}. Since SO(2)SO(2) is not normal subgroup of SO(3)SO(3), S2S^{2} doesnot admit group structure.
Generalize:

  • SO(n+1)/SO(n)=SnSO(n+1) / SO(n) = S^{n}
  • O(n+1)/O(n)=SnO(n+1) / O(n)= S^{n} since O(n+1)O(n+1) acts on SnS^{n} transitively
  • U(n+1)/U(n)=SU(n+1)/SU(n)=S2n+1U(n+1) / U(n)= SU(n+1) / SU(n) = S^{2n+1}

O(n+1)O(n+1) acts on Rn+1\mathbb{R}^{n+1}. If in RPn\mathbb{R}P^{n}, xxx\sim x' and gO(n+1)g\in O(n+1), gxgxgx\sim gx', which induces an action on RPn\mathbb{R}P^{n}. Clearly this is transitive. If we take pp in RPn\mathbb{R}P^{n} which corresponds to (1,0,,0)Rn+1(1,0,\dots,0)\in \mathbb{R}^{n+1}, the isometry group is

H(p)=(±100O(n))=O(1)×O(n)\begin{equation} H(p) = \left(\begin{matrix} \pm1 & 0 \\ 0 & O(n) \end{matrix} \right) = O(1)\times O(n) \end{equation}

note O(1)=Z2={1,1}O(1)=\mathbb{Z}_{2}=\{1,-1\}. So

O(n+1)/[O(1)×O(n)]Sn/Z2RPn\begin{equation} O(n+1)/[O(1)\times O(n)] \cong S^{n} / \mathbb{Z}_{2} \cong \mathbb{R}P^{n} \end{equation}

Generalize to Grassmann manifolds: Gk,n(R)=O(n)/[O(k)×O(nk)]G_{k,n}(\mathbb{R})=O(n) / [O(k)\times O(n-k)]

5.7.3 Induced vector fields

Define a flow in MM by σ(t,x)=exp(tV)x\sigma(t,x)=\exp(tV)x, and define a vector field called induced vector field denoted by VV^\sharp:

Vx=ddtexp(tV)xt=0\begin{equation} V^\sharp|_{x}= \left.\frac{d}{dt} \exp \left(tV\right)x\right|_{t=0} \end{equation}

Consider SO(2)SO(2) acts on M=R2M=\mathbb{R}^{2}. V=(0110)V=\left(\begin{matrix}0 & -1\\1 & 0 \end{matrix}\right). First

exptV=(costsintsintcost)\begin{equation} \exp tV = \left(\begin{matrix} \cos t & -\sin t \\ \sin t & \cos t \end{matrix}\right) \end{equation}

and the induce flow through x=(x,y)x=(x,y) is

Vx=yx+xy\begin{equation} V^\sharp |_{x} = -y \frac{ \partial }{ \partial x } + x\frac{ \partial }{ \partial y } \end{equation}

5.7.4 Adjoint representation

Take aGa\in G and define homomorphism ada:GG\mathrm{ad}_{a}:G\to G by conjugation,

ada:gaga1\begin{equation} \mathrm{ad}_{a}:g\mapsto aga^{-1} \end{equation}

Restrict the induced map ada:TgGTadagGad_{a *}:T_{g}G\to T_{ad_{a}g}G to g=eg=e,

Ada:TeGTeG\begin{equation} \mathrm{Ad}_{a}:T_{e}G\to T_{e}G \end{equation}

where AdaadaTeG\mathrm{Ad}_{a}\equiv \mathrm{ad}_{a *}|_{T_{e}G}. If GG is a matrix group, the adjoint representation becomes a simple matrix operation. Let gG,XVgg\in G,X_{V}\in \mathfrak{g} and σV(t)=exptV\sigma_{V}(t)=\exp tV be one-parameter subgroup generated by VTeGV\in T_{e}G. Then adg\mathrm{ad}_{g} acting on σV(t)\sigma_{V}(t) yields gexp(tV)g1=exp(tgVg1)g \exp (tV)g^{-1}=\exp(tgVg^{-1})

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