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intermediate · Physics · Time-Dependent Perturbation & Fermi's Golden Rule

Time-Dependent Hamiltonians

Almost everything interesting in quantum mechanics — atoms absorbing light, qubits being driven by microwave pulses, particles decaying — happens because the Hamiltonian changes in time. Up to now we mostly studied systems whose energy operator H^\hat H was fixed. This module is about what happens when it is not.

Splitting off a time-dependent piece

The standard setup writes the Hamiltonian as a known, time-independent part plus a small time-dependent perturbation:

H^(t)=H^0+H^(t).\hat H(t) = \hat H_0 + \hat H'(t).

Here H^0\hat H_0 is the unperturbed Hamiltonian whose eigenstates and energies we already know,

H^0n=Enn,\hat H_0 \, |n\rangle = E_n \, |n\rangle ,

and H^(t)\hat H'(t) is a perturbation that switches on at some time and is assumed small compared with the spacings of H^0\hat H_0. The key new feature is that H^(t)\hat H'(t) carries explicit time dependence — for example an oscillating electric field H^(t)=qx^E0cos(ωt)\hat H'(t) = -q\,\hat x\,\mathcal{E}_0\cos(\omega t) acting on a charged particle.

Stationary states are no longer stationary

For a time-independent Hamiltonian, an energy eigenstate evolves only by an overall phase, neiEnt/n|n\rangle \to e^{-iE_n t/\hbar}|n\rangle, so the probabilities of all observables stay frozen — that is why they are called stationary states. Once H^(t)\hat H'(t) is present this is no longer true. The exact state obeys the full time-dependent Schrödinger equation

itΨ(t)=(H^0+H^(t))Ψ(t).i\hbar \, \frac{\partial}{\partial t}\,|\Psi(t)\rangle = \big(\hat H_0 + \hat H'(t)\big)\,|\Psi(t)\rangle .

Because H^(t)\hat H'(t) couples different eigenstates of H^0\hat H_0, a system that starts in i|i\rangle can acquire amplitude in other states f|f\rangle. The central question of the module is: what is the probability of finding the system in a different state f|f\rangle after the perturbation has acted?

Expanding in the unperturbed basis

Since the eigenstates {n}\{|n\rangle\} of H^0\hat H_0 form a complete orthonormal basis, we may write the exact state at any time as

Ψ(t)=ncn(t)eiEnt/n.|\Psi(t)\rangle = \sum_n c_n(t)\, e^{-iE_n t/\hbar}\,|n\rangle .

The factor eiEnt/e^{-iE_n t/\hbar} is pulled out deliberately: it is the trivial evolution that would happen even without the perturbation. All the interesting physics is then packed into the coefficients cn(t)c_n(t). If H^(t)=0\hat H'(t) = 0, the cnc_n are constant and we recover ordinary stationary-state evolution. When H^(t)0\hat H'(t) \neq 0, the cn(t)c_n(t) drift, and cn(t)2|c_n(t)|^2 is the probability of finding the system in state n|n\rangle at time tt.

What "small" buys us

Treating H^(t)\hat H'(t) as small lets us solve the equations of motion for the cn(t)c_n(t) order by order in the strength of the perturbation, just as in time-independent perturbation theory. To lowest (first) order, the amplitude to leave the initial state is linear in H^\hat H', and the transition probability is quadratic in H^\hat H'. Over the next lessons we will derive that first-order amplitude, square it to get transition probabilities, specialize to harmonic (sinusoidal) driving, find the resonance condition, and finally arrive at Fermi's golden rule for transition rates into a continuum of final states.

Common physical perturbations

A few perturbations recur throughout atomic, molecular, and condensed-matter physics:

Each of these is just a specific choice of H^(t)\hat H'(t) slotted into the same framework. Mastering the general setup here means every later result is a special case rather than a new derivation.

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