The Hamiltonian and Phase Space

Lagrangian mechanics describes a system by its coordinates and velocities (q, \dot q), and gives one second-order equation per degree of freedom. There is a second great reformulation, due to Hamilton, that trades velocities for momenta and each second-order equation for a pair of tidy first-order ones. The payoff is not just algebraic neatness. It reveals a new arena — phase space — in which the entire past and future of a system is a single point gliding along a fixed track, and it is the language in which classical mechanics hands over to statistical mechanics and quantum theory.

We build it in three moves: the Legendre transform that swaps \dot q for p, Hamilton's equations that replace Euler–Lagrange, and the phase-space portrait that pictures the motion. Everything rests on the Euler–Lagrange equation and the conjugate momentum we met with cyclic coordinates.

The Legendre transform: from L to H

Start from the conjugate momentum p_i = \partial L/\partial \dot q_i. The idea is to build a new function that depends on (q, p) instead of (q, \dot q). The recipe is the Legendre transform:

H(q, p, t) = \sum_i p_i\,\dot q_i - L(q, \dot q, t),

where every \dot q_i on the right is re-expressed in terms of the momenta by inverting p_i = \partial L/\partial \dot q_i. This H is the Hamiltonian. You have already met its formula in disguise: it is exactly the energy function h = \sum_i \dot q_i\,\partial L/\partial \dot q_i - L from Noether's theorem, now regarded as a function of coordinates and momenta.

For the everyday case — kinetic energy quadratic in the velocities, a velocity-independent potential — the transform delivers something wonderfully familiar:

Worked example. Take the harmonic oscillator, L = \tfrac12 m\dot x^2 - \tfrac12 k x^2. The momentum is p = \partial L/\partial \dot x = m\dot x, so \dot x = p/m. Substitute:

H = p\,\dot x - L = p\cdot\frac{p}{m} - \left(\tfrac12 m\frac{p^2}{m^2} - \tfrac12 k x^2\right) = \frac{p^2}{2m} + \tfrac12 k x^2.

Exactly T + V, but now written with p where the Lagrangian had \dot x.

Hamilton's equations

Once H(q, p) is in hand, the equations of motion take an almost impossibly symmetric form. Where the Lagrangian gave n second-order equations, Hamilton gives 2n first-order ones:

The near-mirror symmetry between q and p (broken only by a minus sign) is the seed of the whole subject. Test them on the oscillator H = p^2/2m + \tfrac12 k x^2:

\dot x = \frac{\partial H}{\partial p} = \frac{p}{m}, \qquad \dot p = -\frac{\partial H}{\partial x} = -k x.

The first just restates p = m\dot x; differentiate it and substitute the second to get m\ddot x = -kx — the oscillator equation, recovered. Notice a cyclic coordinate reappears here too: if H does not contain q_i, then \dot p_i = -\partial H/\partial q_i = 0 and that momentum is conserved, exactly as before.

Phase space: the whole story in one point

Here is the idea that makes the Hamiltonian view so powerful. Instead of plotting position against time, plot momentum against position. A single point (q, p) in this plane — called phase space — captures the complete state of the system: give me both numbers now and Hamilton's equations tell me every number forever after. The system's history is a curve threading through phase space, and because energy is conserved, the point is trapped on a curve of constant H.

For the harmonic oscillator, constant H = p^2/2m + \tfrac12 kx^2 is the equation of an ellipse. Each ellipse is one energy; bigger ellipses are more energetic oscillations. Drag the slider to send the state point around its track — always clockwise, because when x > 0 the force pushes p down.

This picture generalises enormously. A system with n degrees of freedom lives in a 2n-dimensional phase space, and its motion is a flow through that space. Closed loops mean periodic motion; a point sitting still is an equilibrium; curves that spiral in mean damping. Statistical mechanics counts states as volumes of phase space, and quantum mechanics promotes q and p to operators — but the stage was set here.

Liouville: phase-space flow is incompressible

One last gem falls straight out of Hamilton's equations. Imagine not one system but a whole cloud of them — a little blob of nearby starting states drifting through phase space. As the blob flows it can stretch and shear into fantastic filaments, but its volume never changes. This is Liouville's theorem, and it follows because the phase-space "velocity field" (\dot q, \dot p) has zero divergence:

\frac{\partial \dot q}{\partial q} + \frac{\partial \dot p}{\partial p} = \frac{\partial}{\partial q}\frac{\partial H}{\partial p} - \frac{\partial}{\partial p}\frac{\partial H}{\partial q} = 0.

Hamiltonian flow is incompressible: it can churn phase space like an honest fluid but never squeeze it. This single fact underpins statistical mechanics (it lets us treat phase-space volume as a conserved "amount of possibility") and forbids a friction-free Hamiltonian system from ever settling onto a single attracting point — a first hint of why conservative systems can be chaotic but never simply "run down."

The single most common Hamiltonian mistake is to write down H = T + V and leave the kinetic energy as \tfrac12 m\dot x^2. That is only half the transform. The Hamiltonian must be a function of coordinates and momenta — every velocity has to be eliminated using \dot q = p/m (or whatever p = \partial L/\partial \dot q gives). So the oscillator's kinetic term is p^2/2m, not \tfrac12 m\dot x^2.

Why does it matter? Because Hamilton's equations take partial derivatives holding the other variable fixed. If a stray \dot x is hiding in H, then \partial H/\partial p is meaningless and you will get the wrong motion. Numerically H and the energy agree, but symbolically H must speak only the language of q and p.

No — and this is a subtlety worth knowing. H = T + V holds only when two conditions are met: the coordinates do not depend explicitly on time (the constraints are "scleronomic"), and the potential does not depend on velocity. Break the first — say you use a rotating coordinate frame, or a bead on a wire that is being cranked round — and H is still a perfectly good conserved quantity (if \partial H/\partial t = 0), but it is not the mechanical energy T + V. Two separate questions hide here: "Is H conserved?" (yes, whenever H has no explicit time dependence) and "Is H the energy?" (yes, only for time-independent coordinates). They usually coincide, which is exactly why it is easy to forget they are different.