Lecture 2

Two languages: the Poisson bracket and differential forms

Course map: G1, step 2 of 9. Two languages, each needed later. The Poisson bracket turns “these conserved quantities do not disturb one another” into a computation, and one identity, the engine, turns that computation into commuting flows: the hypothesis of the Liouville–Arnold theorem of Lecture 5. Differential forms give p⋅dqp\cdot\dd q a type. It is a 11-form, which a curve can integrate with no metric, so the action variables of Lecture 6 can be defined at all. The oscillator is the worked example.

2.1 The question

Lecture 1 left two jobs. The Liouville–Arnold theorem (Lecture 5) needs nn conserved quantities whose flows commute, but Theorem 1.9 speaks of vector fields, not of conserved quantities. And the action variables of Lecture 6 are loop integrals of p⋅dqp\cdot\dd q, which need an integrand that a curve can integrate without a metric. So the question is

in what language is a conserved quantity written, and in what language the loop integral of p⋅dqp\cdot\dd q?

The answers are the Poisson bracket (§§2.2 and 2.3) and differential forms (§§2.4 and 2.5).

2.2 The Poisson bracket

Definition 2.1 (Poisson bracket). For smooth functions f,gf,g on T∗RnT^{*}\R^{n}, {f,g}  =  ∑i=1n(∂f∂qi∂g∂pi−∂f∂pi∂g∂qi),so{qi,pj}=δij. \pb{f}{g}\;=\;\sum_{i=1}^{n}\left( \frac{\partial f}{\partial q_i}\frac{\partial g}{\partial p_i} -\frac{\partial f}{\partial p_i}\frac{\partial g}{\partial q_i}\right), \qquad\text{so}\qquad \pb{q_i}{p_j}=\delta_{ij}. (2.1)

Proposition 2.2 (The Poisson algebra). The bracket is bilinear, antisymmetric {f,g}=−{g,f}\pb{f}{g}=-\pb{g}{f}, and satisfies the Jacobi identity and the Leibniz rule {f,{g,h}}+{g,{h,f}}+{h,{f,g}}=0,{fg,h}=f{g,h}+g{f,h}. \pb{f}{\pb{g}{h}}+\pb{g}{\pb{h}{f}}+\pb{h}{\pb{f}{g}}=0, \qquad \pb{fg}{h}=f\pb{g}{h}+g\pb{f}{h}. (2.2)

Proof. Bilinearity and antisymmetry are visible in (2.1), and Leibniz is the product rule applied to each derivative. Jacobi is a line of index bookkeeping, proved in the reading that follows. It uses only that the matrix of brackets of the coordinates is constant and antisymmetric. 

Reading

The Jacobi identity, proved. Write z1,…,z2nz^{1},\dots,z^{2n} for all the coordinates at once and {u,v}=∑α,β∂αu  Jαβ  ∂βv,Jαβ={zα,zβ}, \pb{u}{v}=\sum_{\alpha,\beta}\partial_\alpha u\;J^{\alpha\beta}\;\partial_\beta v, \qquad J^{\alpha\beta}=\pb{z^\alpha}{z^\beta}, (2.3) so that JJ is a constant and antisymmetric matrix — that is all of (2.1) the argument uses. Expand the cyclic sum. Every term carries a second derivative of exactly one of f,g,hf,g,h, so the terms fall into three classes, and it is enough to kill one: the others follow by relabelling f,g,hf,g,h cyclically. Take the class with a second derivative of hh. It comes only from the first two summands, since {h,{f,g}}\pb{h}{\pb{f}{g}} differentiates hh just once, and it is ∂αf Jαβ ∂γg Jγδ ∂β∂δh⏟from {f,{g,h}}  +  ∂αg Jαβ ∂β∂γh Jγδ ∂δf⏟from {g,{h,f}},\underbrace{\partial_\alpha f\,J^{\alpha\beta}\,\partial_\gamma g\, J^{\gamma\delta}\,\partial_\beta\partial_\delta h}_{\text{from }\pb{f}{\pb{g}{h}}} \;+\; \underbrace{\partial_\alpha g\,J^{\alpha\beta}\,\partial_\beta\partial_\gamma h\, J^{\gamma\delta}\,\partial_\delta f}_{\text{from }\pb{g}{\pb{h}{f}}} , summed over repeated indices. Relabel the dummy indices of the second term by α↦γ\alpha\mapsto\gamma, β↦δ\beta\mapsto\delta, γ↦β\gamma\mapsto\beta, δ↦α\delta\mapsto\alpha: it becomes ∂αf ∂γg ∂β∂δh JγδJβα\partial_\alpha f\,\partial_\gamma g\,\partial_\beta\partial_\delta h\, J^{\gamma\delta}J^{\beta\alpha}. The two terms now differ only in carrying JαβJ^{\alpha\beta} where the other carries JβαJ^{\beta\alpha}, so their sum has the factor Jαβ+JβαJ^{\alpha\beta}+J^{\beta\alpha}, which vanishes. The class is zero, and so are the other two.

The bracket is what turns §1.3’s geometry back into calculation. For any observable ff, the chain rule along a trajectory together with (1.6) gives dfdt=∑i(∂f∂qiq˙i+∂f∂pip˙i)={f,H}. \frac{\dd f}{\dd t} =\sum_i\left(\frac{\partial f}{\partial q_i}\dot q_i +\frac{\partial f}{\partial p_i}\dot p_i\right) =\pb{f}{H}. (2.4)

Definition 2.3 (First integral). ff is a first integral — a conserved quantity — if {f,H}=0\pb{f}{H}=0.

So HH generates time evolution. df/dt={f,H}\dd f/\dd t=\pb{f}{H}, with the bracket in that order, is the convention of this course, and every sign that follows comes from it.

Noether, in one line

The condition {f,H}=0\pb{f}{H}=0 is antisymmetric in its two arguments, so it vanishes for the pair (f,H)(f,H) exactly when it vanishes for (H,f)(H,f). Reading (2.4) both ways:

ff is conserved by the flow of HH   ⟺  \iff HH is invariant under the flow of ff.

That is Noether’s theorem, at this level of generality, and it is a one-line consequence of antisymmetry. A conserved quantity is a symmetry; they are not two facts related by a theorem but one fact read in two directions. Angular momentum is conserved because HH is rotation-invariant, and — the same sentence — rotations are a symmetry because angular momentum is conserved.

2.3 From functions to vector fields: the engine

Lecture 1 attached a vector field to HH. The same construction works for any function.

Definition 2.4 (Hamiltonian vector field). For a smooth function ff, the Hamiltonian vector field Xf\hvf{f} is defined by its action on functions, Xf h  =  {h,f}, \hvf{f}\,h\;=\;\pb{h}{f}, (2.5) which in coordinates reads Xf=∑i(∂f∂pi∂qi−∂f∂qi∂pi)\hvf{f}=\sum_i\big(\tfrac{\partial f}{\partial p_i}\partial_{q_i} -\tfrac{\partial f}{\partial q_i}\partial_{p_i}\big).

Taking f=Hf=H gives XHh={h,H}=dh/dt\hvf{H}h=\pb{h}{H}=\dd h/\dd t by (2.4), so XH\hvf{H} is the field (1.7) of Lecture 1. The map f↦Xff\mapsto\hvf{f} takes functions, with their Poisson bracket, to vector fields, with their Lie bracket. The question is whether it respects the two brackets.

The worked example: the oscillator’s two halves

Split the oscillator’s Hamiltonian, at unit frequency, as H=12(q2+p2)=f+gH=\tfrac12(q^{2}+p^{2})=f+g with f=q2/2f=q^{2}/2 and g=p2/2g=p^{2}/2. Their fields, the Lie bracket of the fields, and the field of their Poisson bracket can each be computed in a line: Xf=−q ∂p,Xg=p ∂q,[Xf,Xg]=−q ∂q+p ∂p,{f,g}=qp,Xqp=q ∂q−p ∂p,X{f,g}=−[Xf,Xg]. \begin{aligned} \hvf{f}&=-q\,\partial_p, &\qquad \hvf{g}&=p\,\partial_q, &\qquad \comm{\hvf{f}}{\hvf{g}}&=-q\,\partial_q+p\,\partial_p,\\[2pt] \pb{f}{g}&=qp, &\qquad \hvf{qp}&=q\,\partial_q-p\,\partial_p, &\qquad \hvf{\pb{f}{g}}&=-\comm{\hvf{f}}{\hvf{g}}. \end{aligned} (2.6) So here the map respects the brackets up to a sign, which §2.7 explains. The sum of the two halves is the oscillator, and XH=Xf+Xg=p ∂q−q ∂p\hvf{H}=\hvf{f}+\hvf{g}=p\,\partial_q-q\,\partial_p is the rotation of the phase plane; its orbits other than the equilibrium are circles, the positive-energy level curves of §1.4 at unit frequency. The engine says that what happened here happens for every pair of functions.

Theorem 2.5 (The engine). For all smooth f,gf,g, X{f,g}  =  −[Xf,Xg]. \hvf{\pb{f}{g}}\;=\;-\comm{\hvf{f}}{\hvf{g}} . (2.7)

The proof is a computation in coordinates. A second proof, three lines long and from the Jacobi identity, shows why it is true; it is a reading.

First proof, in coordinates. Take n=1n=1; the general case is the same with sums over ii. Write subscripts for partial derivatives, so Xf=fp ∂q−fq ∂p\hvf{f}=f_p\,\partial_q-f_q\,\partial_p. For vector fields A=a ∂q+b ∂pA=a\,\partial_q+b\,\partial_p and B=c ∂q+d ∂pB=c\,\partial_q+d\,\partial_p, Proposition 1.8 gives [A,B]=(Ac−Ba) ∂q+(Ad−Bb) ∂p\comm{A}{B}=(Ac-Ba)\,\partial_q+(Ad-Bb)\,\partial_p. With a=fp,  b=−fq,  c=gp,  d=−gqa=f_p,\;b=-f_q,\;c=g_p,\;d=-g_q the ∂q\partial_q component of [Xf,Xg]\comm{\hvf{f}}{\hvf{g}} is Xfgp−Xgfp=(fpgqp−fqgpp)−(gpfqp−gqfpp).\hvf{f}g_p-\hvf{g}f_p =\big(f_pg_{qp}-f_qg_{pp}\big)-\big(g_pf_{qp}-g_qf_{pp}\big). On the other side, {f,g}=fqgp−fpgq\pb{f}{g}=f_qg_p-f_pg_q, so the ∂q\partial_q component of X{f,g}\hvf{\pb{f}{g}} is {f,g}p=fqpgp+fqgpp−fppgq−fpgqp,\pb{f}{g}_p=f_{qp}g_p+f_qg_{pp}-f_{pp}g_q-f_pg_{qp}, which is the negative of the previous display, term for term. The ∂p\partial_p components are the identical computation and give Xf(−gq)−Xg(−fq)=fqqgp+fqgpq−fpqgq−fpgqq={f,g}q,\hvf{f}(-g_q)-\hvf{g}(-f_q) =f_{qq}g_p+f_qg_{pq}-f_{pq}g_q-f_pg_{qq} =\pb{f}{g}_q , against −{f,g}q-\pb{f}{g}_q for X{f,g}\hvf{\pb{f}{g}} — again a sign apart. Hence [Xf,Xg]=−X{f,g}\comm{\hvf{f}}{\hvf{g}}=-\hvf{\pb{f}{g}}. 

Reading

Second proof, from the Jacobi identity. Apply both sides to an arbitrary function hh and use only (2.5). The right-hand side is [Xf,Xg]h=Xf{h,g}−Xg{h,f}={{h,g},f}−{{h,f},g}.\comm{\hvf{f}}{\hvf{g}}h =\hvf{f}\pb{h}{g}-\hvf{g}\pb{h}{f} =\pb{\pb{h}{g}}{f}-\pb{\pb{h}{f}}{g}. The left-hand side is {h,{f,g}}\pb{h}{\pb{f}{g}}, and the Jacobi identity (2.2), rearranged with antisymmetry, says exactly {h,{f,g}}={{h,f},g}−{{h,g},f}\pb{h}{\pb{f}{g}}=\pb{\pb{h}{f}}{g}-\pb{\pb{h}{g}}{f}. The two sides are therefore negatives of each other, for every hh. 

The second proof locates the content: the engine is the Jacobi identity, wearing different clothes. The map f↦Xff\mapsto\hvf{f} is an anti-homomorphism of Lie algebras, and it is one because the bracket satisfies Jacobi — which is also, as a reading of Lecture 4 shows, the same statement as dω=0\dd\symp=0.

Only two properties of JJ were used, that it is constant and antisymmetric, so the Jacobi identity has nothing to do with the particular pairing of each qq with its own pp. Lecture 3 meets the same fact in geometric clothes: antisymmetry becomes ω\symp being a 22-form, and constant coefficients make dω=0\dd\symp=0 automatically. Closedness without constancy is enough, and it is what corresponds to Jacobi in general.

What the course actually uses

Corollary 2.6 (Commuting integrals, commuting flows). If {Fi,Fj}=0\pb{F_i}{F_j}=0 then [XFi,XFj]=0\comm{\hvf{F_i}}{\hvf{F_j}}=0, and if in addition the fields are complete, their flows commute.

Proof. X{Fi,Fj}=X0=0\hvf{\pb{F_i}{F_j}}=\hvf{0}=0, so Theorem 2.5 gives [XFi,XFj]=0\comm{\hvf{F_i}}{\hvf{F_j}}=0; then apply Theorem 1.9. 

What the corollary buys is large. It converts an algebraic hypothesis that can be checked — nn functions whose brackets vanish — into a geometric conclusion: nn commuting vector fields, each tangent to the common level sets of the functions, since XFjFi={Fi,Fj}=0\hvf{F_j}F_i=\pb{F_i}{F_j}=0. On a compact regular component of a level set the fields are complete (Proposition 1.7, applied to the component), so their flows commute and together give an action of the abelian group Rn\R^{n} on it. That action is the whole machine of the Liouville–Arnold theorem in Lecture 5, and Theorem 2.5 is what starts it.

2.4 Why forms: 11-forms and the cotangent space

The object we are trying to build

In Lecture 6 we shall meet the integral I  =  12π∮γp⋅dq  =  12π∮γ ∑i=1npi dqi, I \;=\; \frac{1}{2\pi}\oint_{\gamma} p\cdot\dd q \;=\; \frac{1}{2\pi}\oint_{\gamma}\ \sum_{i=1}^{n} p_i\,\dd q_i , (2.8) taken around a closed loop γ\gamma on an invariant torus, and everything in Lectures 5 and 6 depends on it being a well-defined number. Three separate things have to be true, and not one of them is obvious:

  1. The integrand must be an object that a curve can integrate, with no extra structure supplied. In particular no length, no angle, no inner product: phase space has no metric, and any construction that secretly uses one is not available to us.

  2. The answer must not change when the curve is reparametrised. A loop traversed quickly and the same loop traversed slowly must give the same number.

  3. The answer must not change when γ\gamma is deformed. Otherwise (2.8) labels a curve rather than a torus, and there is no “action variable” at all.

This lecture settles the first by getting the type of the integrand right: p⋅dqp\cdot\dd q is a 11-form. Lecture 3 settles the second, since line integrals of 11-forms do not see the parametrisation, and proves what the third needs: the integral of a closed 11-form round a loop does not change when the loop is deformed. That p⋅dqp\cdot\dd q is closed on the tori where (2.8) is taken — compact connected components of common level sets of nn conserved quantities in involution, on which their differentials are independent — is proved in Lecture 5, and Lecture 6 then defines the actions.

Covectors

Throughout this lecture M\phase is a smooth manifold of dimension mm, and x1,…,xmx^1,\dots,x^m is a chart on it. In the application M\phase is phase space and m=2nm=2n, with nn the number of degrees of freedom — nn is reserved for that throughout the course, so it is not available here.

Recall from §1.2 that a tangent vector at p∈Mp\in\phase is the velocity of a curve through pp, equivalently a derivation on functions near pp, and that these form an mm-dimensional vector space TpMT_p\phase. The chart gives TpMT_p\phase the basis ∂/∂x1,…,∂/∂xm\partial/\partial x^1,\dots,\partial/\partial x^m.

Definition 2.7 (Covector, cotangent space). A covector at pp is a linear map αp ⁣:TpM→R\alpha_p\colon T_p\phase\to\R. The set of them is the cotangent space Tp∗MT_p^{*}\phase, the dual of TpMT_p\phase; it is again a vector space of dimension mm. A differential 11-form α\alpha on M\phase assigns to each point pp a covector αp\alpha_p, smoothly in pp.

The example to hold on to is the differential of a function.

Definition 2.8 (The differential of a function). For ff smooth near pp and v∈TpMv\in T_p\phase, set dfp(v)  =  v(f), \dd f_p(v) \;=\; v(f), (2.9) the derivative of ff along vv. This is linear in vv, so dfp∈Tp∗M\dd f_p\in T_p^{*}\phase, and df\dd f is a 11-form.

Applying (2.9) to the coordinate functions xix^i themselves gives dxi(∂/∂xj)=∂xi/∂xj=δji\dd x^i(\partial/\partial x^j)=\partial x^i/\partial x^j=\delta^i_j: the 11-forms dx1,…,dxm\dd x^1,\dots,\dd x^m are exactly the basis of Tp∗MT^{*}_p\phase dual to the coordinate basis of TpMT_p\phase. Hence every 11-form is α  =  ∑iai(x) dxi,and in particulardf  =  ∑i∂f∂xi dxi, \alpha \;=\; \sum_{i} a_i(x)\,\dd x^i , \qquad\text{and in particular}\qquad \dd f \;=\; \sum_i \frac{\partial f}{\partial x^i}\,\dd x^i , (2.10) the second identity being (2.9) evaluated on each basis vector. So the notation df\dd f, which until now was a formal symbol in the chain rule, is a genuine object: a machine that eats a tangent vector and returns a number.

The picture: a stack of surfaces

A tangent vector is drawn as an arrow. A covector is not an arrow; it is a stack. Draw the level sets f=cf=c, f=c+1f=c+1, f=c+2f=c+2, … near pp: for a nearly-constant ff they are far apart, for a rapidly varying ff they are close together (Figure 2.1). Then (2.9) says

dfp(v)\dd f_p(v) is the number of level surfaces the arrow vv pierces.

Figure 2.1. A covector is a stack, not an arrow. The same function drawn where it varies slowly and where it varies fast: df\dd f is denser where ff changes quickly. Nothing in the picture requires a notion of length — only the surfaces and their labels.
Figure 2.2. dfp(v)\dd f_p(v) counts the level surfaces pierced by vv. The long arrow ww gives the smaller answer: it is the crossing of surfaces that is measured, not the length of the arrow.

Figure 2.2 shows why no metric is needed. Nothing in the counting used how long vv is or what angle it makes with anything; a covector is exactly the structure that can be evaluated on a vector with no metric present. Addition of covectors is superposition of stacks (Figure 2.3): α+β\alpha+\beta is denser than either.

Figure 2.3. Adding covectors superposes stacks. The sum runs in a new direction and is denser than either summand, which is the geometric content of (α+β)(v)=α(v)+β(v)(\alpha+\beta)(v)=\alpha(v)+\beta(v).

Example 2.9 (The canonical 11-form, met early). On M=T∗Rn\phase=T^{*}\R^{n} with coordinates q1,…,qn,p1,…,pnq_1,\dots,q_n,p_1,\dots,p_n, the expression ∑ipi dqi\sum_i p_i\,\dd q_i is a 11-form: at each point of phase space it eats a tangent vector vv and returns ∑ipi dqi(v)\sum_i p_i\,\dd q_i(v), the momenta contracted with the qq-components of vv. It is emphatically not of the form df\dd f — that is the subject of Lecture 3, and the reason (2.8) is ever nonzero. Lecture 4 will show that this 11-form exists on any cotangent bundle without choosing coordinates.

2.5 22-forms, oriented area and the wedge product

What we want to measure

A 11-form measures a curve’s worth of information: one vector in, one number out. To integrate over a surface we need a machine taking two vectors, and it should return the area of the parallelogram they span — because that is what a surface integral adds up.

Start in the plane, where the answer is already known from linear algebra: the parallelogram spanned by v=(v1,v2)v=(v^1,v^2) and w=(w1,w2)w=(w^1,w^2) has signed area A(v,w)  =  det⁡(v1w1v2w2)  =  v1w2−v2w1. A(v,w)\;=\;\det\begin{pmatrix} v^1 & w^1\\ v^2 & w^2\end{pmatrix} \;=\; v^1w^2-v^2w^1 . (2.11) Three properties of AA are worth naming before we generalise, because they are forced by what “area” means and not chosen for convenience.

  • Bilinearity. Doubling one edge doubles the area; gluing two parallelograms along an edge adds their areas.

  • A(v,v)=0A(v,v)=0. A degenerate parallelogram has no area.

  • A(w,v)=−A(v,w)A(w,v)=-A(v,w). The area is signed: it records not only how much area there is but which way round the two edges run.

The third property is the one students find arbitrary, so note that it is not an extra assumption: it follows from the first two. Expanding 0=A(v+w,v+w)=A(v,v)+A(v,w)+A(w,v)+A(w,w)0=A(v+w,v+w)=A(v,v)+A(v,w)+A(w,v)+A(w,w) gives A(v,w)=−A(w,v)A(v,w)=-A(w,v) at once. Antisymmetry is what you get for free once you ask that a degenerate parallelogram have zero area.

Figure 2.4. The same parallelogram, the same area, opposite orientations. A 22-form remembers the circulation arrow, and that memory is exactly the minus sign in α∧β=−β∧α\alpha\wedge\beta=-\beta\wedge\alpha.

Definition 2.10 (22-form). A 22-form at pp is a bilinear map βp ⁣:TpM×TpM→R\beta_p\colon T_p\phase\times T_p\phase\to\R with βp(v,w)=−βp(w,v)\beta_p(v,w)=-\beta_p(w,v). A differential 22-form assigns such a βp\beta_p to each point, smoothly.

The wedge product

Two 11-forms produce a 22-form in exactly one natural way.

Definition 2.11 (Wedge product of 11-forms). For 11-forms α,β\alpha,\beta, (α∧β)(v,w)  =  α(v) β(w)−α(w) β(v)  =  det⁡(α(v)α(w)β(v)β(w)). (\alpha\wedge\beta)(v,w)\;=\;\alpha(v)\,\beta(w)-\alpha(w)\,\beta(v) \;=\;\det\begin{pmatrix}\alpha(v) & \alpha(w)\\ \beta(v)&\beta(w)\end{pmatrix}. (2.12)

Antisymmetry in (v,w)(v,w) is manifest, so α∧β\alpha\wedge\beta is a 22-form; and swapping the two forms transposes the determinant, so α∧β=−β∧α,and in particularα∧α=0. \alpha\wedge\beta=-\beta\wedge\alpha, \qquad\text{and in particular}\qquad \alpha\wedge\alpha=0 . (2.13) This is the same minus sign as Figure 2.4, now in the algebra. It is worth saying out loud that (2.13) is a statement about orientation, not a convention about symbols: a plane with a circulation arrow drawn on it is a different object from the same plane with the arrow reversed, and ∧\wedge is the product that knows the difference.

Example 2.12 (dx∧dy\dd x\wedge\dd y is the signed area). Take α=dx\alpha=\dd x, β=dy\beta=\dd y in the plane. Then (dx∧dy)(v,w)=v1w2−v2w1(\dd x\wedge\dd y)(v,w)=v^1w^2-v^2w^1, which is precisely (2.11): see Figure 2.5. The abstract definition has reproduced the determinant, and we may now stop writing AA.

Figure 2.5. dx∧dy\dd x\wedge\dd y evaluated on two vectors. The number returned is the signed area of the parallelogram they span, in units of the cell ∂x,∂y\partial_x,\partial_y — positive here because v,wv,w run anticlockwise.

In mm dimensions, a 22-form has components βij=β(∂i,∂j)\beta_{ij}=\beta(\partial_i,\partial_j) with βij=−βji\beta_{ij}=-\beta_{ji}, so β  =  ∑i<jβij  dxi∧dxj, \beta \;=\; \sum_{i<j}\beta_{ij}\;\dd x^i\wedge \dd x^j , (2.14) a sum over (m2)\binom{m}{2} independent components. In the plane there is one, dx∧dy\dd x\wedge\dd y; in R3\R^{3} there are three; in R4\R^{4}, six — and it is the R4\R^{4} count that Lecture 3 will need when it writes ω=dq1∧dp1+dq2∧dp2\symp=\dd q_1\wedge\dd p_1+\dd q_2\wedge\dd p_2.

Figure 2.6. (dx∧dy)(v,w)(\dd x\wedge\dd y)(v,w) is the signed area not of the parallelogram but of its shadow in the xyxy-plane. A 22-form does not measure area; it measures area as seen in a chosen pair of directions, which is why there is one 22-form per pair of coordinates.

Higher degree, and the one rule we need

The pattern of (2.12) continues. A kk-form is a multilinear map on kk tangent vectors that changes sign whenever two arguments are swapped, and the wedge of kk 11-forms is the determinant of the matrix of pairings: (α1∧⋯∧αk)(v1,…,vk)  =  det⁡ ⁣[αi(vj)]i,j=1k. (\alpha^{1}\wedge\cdots\wedge\alpha^{k})(v_1,\dots,v_k) \;=\;\det\!\big[\alpha^{i}(v_j)\big]_{i,j=1}^{k} . (2.15) One more rule is needed, because (2.15) covers only wedges of 11-forms: the wedge of forms of any degree, which the exterior derivative of Lecture 3 uses.

Definition 2.13 (Wedge in general). The wedge product is bilinear and associative, and on products of 11-forms it simply concatenates the factors, (α1∧⋯∧αk)∧(β1∧⋯∧βℓ)=α1∧⋯∧αk∧β1∧⋯∧βℓ.(\alpha^{1}\wedge\cdots\wedge\alpha^{k})\wedge (\beta^{1}\wedge\cdots\wedge\beta^{\ell}) =\alpha^{1}\wedge\cdots\wedge\alpha^{k}\wedge\beta^{1}\wedge\cdots\wedge\beta^{\ell}. Since every form is a sum of such products of coordinate differentials, those two rules determine it. Moving one factor past another costs a sign each time, so in degrees kk and ℓ\ell η∧ξ=(−1)kℓ ξ∧η. \eta\wedge\xi=(-1)^{k\ell}\,\xi\wedge\eta . (2.16) In particular a form of odd degree wedged with itself vanishes, while one of even degree need not.

Reading

Example 2.14 (ω2\symp^{2}, computed). With ω=dq1∧dp1+dq2∧dp2\symp=\dd q_1\wedge\dd p_1+\dd q_2\wedge\dd p_2 on R4\R^{4}, expanding bilinearly gives four terms. The two like terms vanish, because dqi∧dpi∧dqi∧dpi\dd q_i\wedge\dd p_i\wedge\dd q_i\wedge\dd p_i repeats a factor, and the two cross terms are equal by (2.16) with k=ℓ=2k=\ell=2. So ω∧ω=2 dq1∧dp1∧dq2∧dp2,that isω22!=dq1∧dp1∧dq2∧dp2.\symp\wedge\symp=2\,\dd q_1\wedge\dd p_1\wedge\dd q_2\wedge\dd p_2, \qquad\text{that is}\qquad \frac{\symp^{2}}{2!}=\dd q_1\wedge\dd p_1\wedge\dd q_2\wedge\dd p_2 . The factorial in the Liouville volume ωn/n!\symp^{n}/n!, a reading in Lecture 4, is there to cancel exactly this count, and nothing more.

2.6 What it buys

  • A test for commuting flows that can be computed. Functions whose brackets vanish have commuting fields (Corollary 2.6), and commuting flows when the fields are complete. That is the hypothesis of Lecture 5, in a form that a calculation can settle.

  • The type of p⋅dqp\cdot\dd q. It is a 11-form (Example 2.9), so a curve can integrate it with no metric. Lecture 3 differentiates and integrates forms, and proves that the loop integral of a closed 11-form depends on the loop only through its class; Lecture 5 shows that p⋅dqp\cdot\dd q is closed on the tori where it will be integrated. Lecture 3 and Lecture 4 then show that the two halves of this lecture are one structure, the symplectic form, a 22-form.

2.7 Caveats, in one place

  • Status. The Jacobi identity in Proposition 2.2 is proved in a reading; the rest of that proposition, the engine and its corollary are proved in the lectured core, except that the corollary’s last clause, commuting flows, rests on Theorem 1.9, which is cited.

  • The sign. (2.7) carries a minus sign because of the convention df/dt={f,H}\dd f/\dd t=\pb{f}{H} of (2.4), together with (2.5). Sources that write Xfh={f,h}\hvf{f}h=\pb{f}{h}, or put the bracket of the evolution law the other way round, print a plus, and they make no different claim about mechanics. Corollary 2.6, the consequence that the proof of the Liouville–Arnold theorem uses, does not see the sign.

  • Coordinates. The bracket (2.1) is defined here on T∗RnT^{*}\R^{n}, in the coordinates (q,p)(q,p). That the same bracket makes sense on any phase space, in any canonical chart, is Lecture 4’s.

Summary

  • The bracket. df/dt={f,H}\dd f/\dd t=\pb{f}{H} (2.4), and a first integral is {f,H}=0\pb{f}{H}=0. By antisymmetry, “ff is conserved by HH” and “HH is invariant under ff” are one statement: Noether in one line.
  • The engine. X{f,g}=−[Xf,Xg]\hvf{\pb{f}{g}}=-\comm{\hvf{f}}{\hvf{g}} (Theorem 2.5), checked on the oscillator’s two halves (2.6). Its consequence: commuting integrals give commuting flows (Corollary 2.6).
  • 11-forms eat vectors and need no metric. A covector is a stack of surfaces, dfp(v)\dd f_p(v) counts the surfaces that vv pierces, and p⋅dqp\cdot\dd q is a 11-form.
  • 22-forms measure oriented area. The wedge (2.12) builds them from 11-forms, and α∧β=−β∧α\alpha\wedge\beta=-\beta\wedge\alpha records orientation; it is not a convention.
  • Next: Lecture 3 differentiates and integrates forms, proves Stokes’ theorem, and defines the symplectic form.

References

Arnold, Mathematical Methods of Classical Mechanics, Ch. 8 (Hamiltonian vector fields, the Lie algebra of Hamiltonian functions) and §32 (exterior algebra); da Silva, Lectures on Symplectic Geometry, §§1–3 and 18 (Poisson structures) and §6 (forms); Babelon, Bernard and Talon, Introduction to Classical Integrable Systems, Ch. 1. Sign conventions differ across all three sources for precisely the identity of §2.3: check any formula against (2.7) and (2.6) before transcribing it.

End of Lecture 2

Two languages: the Poisson bracket and differential forms