Propagator Table
This table collects common real-time propagator kernels for nonrelativistic quantum mechanics. Each kernel is a coordinate-space transition amplitude for the time-evolution operator:
It is an amplitude, not a probability density. The formulas below use
Unless stated otherwise, take and use the usual real-time convergence prescription, equivalently in Gaussian kernels. For other configuration spaces, the integration measure and boundary conditions are part of the kernel.
Quick Index
Section titled “Quick Index”| Kernel | Configuration space | Best use | Canonical page |
|---|---|---|---|
| Free particle | line | one-dimensional derivation, wave-packet spreading | Free-Particle Propagator |
| Free particle | product structure, multidimensional short-time kernel | Propagators in Multiple Dimensions | |
| Harmonic oscillator | line | quadratic dynamics, coherent states, Gaussian path integrals | Harmonic-Oscillator Propagator |
| Infinite square well | interval | hard-wall spectral expansion | Infinite Square Well |
| Particle on a ring | circle | winding sectors, angular motion | Particle on a Ring |
| Constant force | line | uniform-field motion, Airy-energy contrast | this table |
| Semiclassical Van Vleck | general smooth configuration space | large-action approximation | Semiclassical Propagator Preview |
General Identities
Section titled “General Identities”The kernel evolves wavefunctions by
where denotes the correct configuration-space measure.
The equal-time limit is the identity kernel:
with the delta distribution understood relative to the same measure.
The composition law is
For a time-independent Hamiltonian with a complete orthonormal energy basis, the spectral form is
with integrals added for continuous spectra.
One-Dimensional Free Particle
Section titled “One-Dimensional Free Particle”For
on the line,
Use this kernel on the full line. On an interval, half-line, ring, or box, the same differential expression requires different boundary conditions and therefore a different kernel; see Propagators and Boundary Conditions.
D-Dimensional Free Particle
Section titled “D-Dimensional Free Particle”For a free particle on ,
The kernel factorizes into one-dimensional free kernels in Cartesian coordinates. Propagators in Multiple Dimensions derives the formula and develops its configuration-space measure and product structure.
Constant Force
Section titled “Constant Force”Let
so the classical force is . The exact real-time kernel on the line is
where
Setting recovers the free-particle kernel. The energy eigenfunctions of a linear potential are Airy functions, but the time-domain propagator remains a simple classical-action Gaussian because the Lagrangian is quadratic plus a linear term.
Infinite Square Well
Section titled “Infinite Square Well”For a particle on with hard-wall boundary conditions,
the normalized eigenfunctions are
and
The kernel is the spectral sum
This is not the free-particle kernel restricted to . The boundary conditions are part of the Hamiltonian domain and change the kernel.
Harmonic Oscillator
Section titled “Harmonic Oscillator”For
away from caustic times ,
At
the closed form must be replaced by the corresponding delta-function limit with Maslov phase. The oscillator kernel is exact because the action is quadratic.
Particle on a Ring
Section titled “Particle on a Ring”Let a particle move on a ring of radius with moment of inertia
Using the angular coordinate , one spectral form is
An equivalent winding-sector form is
with the same real-time prescription as the free particle. The winding sum makes the topology visible; the spectral sum makes angular-momentum quantization visible.
Semiclassical Van Vleck Form
Section titled “Semiclassical Van Vleck Form”For a smooth -dimensional configuration-space problem, the leading semiclassical propagator is
Here
This is not an exact formula for arbitrary potentials. It is the leading isolated-trajectory stationary-phase approximation. It must be repaired near caustics and supplemented by uniform approximations when classical branches coalesce.
Boundary and Measure Reminders
Section titled “Boundary and Measure Reminders”Propagators and Boundary Conditions explains why the same differential expression can define different Hamiltonians on different domains:
| Domain | Boundary data | Kernel consequence |
|---|---|---|
| full line | square-integrability | continuum free kernel |
| interval with hard walls | at endpoints | sine spectral sum |
| ring | periodicity in angle | winding or angular-momentum sum |
| half-line | self-adjoint boundary condition at endpoint | image or spectral kernel depends on boundary condition |
Always check the measure. A kernel on a ring evolves wavefunctions with , while a radial kernel in three dimensions uses the radial measure or a transformed radial wavefunction convention.
Common Mistakes
Section titled “Common Mistakes”- Treating propagators as probabilities rather than amplitudes.
- Reusing the full-line free kernel in a box or on a ring without imposing boundary conditions.
- Dropping the square-root phase in real-time Gaussian kernels.
- Forgetting that equal-time limits are distributions.
- Confusing time-domain propagator kernels with energy-domain Green functions.
- Using closed-form oscillator kernels at caustic times without the delta-function and Maslov phase.
- Ignoring the measure associated with angular, radial, or constrained coordinates.
Cross-Links
Section titled “Cross-Links”- Propagator Kernel defines the kernel and its composition law.
- Transition Amplitudes explains why kernels are amplitudes before they become probabilities.
- Composition Law derives the intermediate-time identity used in time slicing.
- Spectral Decomposition of the Propagator treats discrete, continuous, and mixed spectra.
- Propagators in Multiple Dimensions develops product kernels, the free kernel on , and non-Cartesian measures.
- Propagators and Boundary Conditions develops half-line images, box kernels, Robin data, and ring winding sectors.
- Causality, Support, and Interpretation in Nonrelativistic QM explains instantaneous Schrödinger tails and the QFT locality comparison.
- Free-Particle Propagator derives the full-line kernel.
- Harmonic-Oscillator Propagator derives the oscillator kernel and caustic phases.
- From Propagators to Path Integrals explains time slicing.
- Semiclassical Propagator Preview explains the Van Vleck form.
- Formula Sheet gives a compact formula overview for the whole volume.
References
Section titled “References”- R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals, McGraw-Hill, 1965.
- L. S. Schulman, Techniques and Applications of Path Integration, Wiley, 1981.
- H. Kleinert, Path Integrals in Quantum Mechanics, Statistics, Polymer Physics, and Financial Markets, 5th ed., World Scientific, 2009.
- R. Shankar, Principles of Quantum Mechanics, 2nd ed., Springer, 1994.
- M. C. Gutzwiller, Chaos in Classical and Quantum Mechanics, Springer, 1990.
Exercises
Section titled “Exercises”- Recover the one-dimensional free kernel from the -dimensional formula.
Solution
Set and . Then
which is the one-dimensional free-particle kernel.
- Check that the constant-force kernel reduces to the free kernel when .
Solution
The constant-force action is
Setting gives
and the prefactor is already the free-particle prefactor. Thus .
- Explain why the infinite-square-well kernel is not the full-line free kernel restricted to .
Solution
The infinite square well imposes the hard-wall boundary conditions
These boundary conditions change the domain of the Hamiltonian and force a sine eigenbasis. The full-line free kernel does not vanish at the walls and does not preserve the hard-wall domain. The correct kernel must be built from the well eigenfunctions or an equivalent image construction.
- Show that the ring spectral kernel is periodic in .
Solution
The spectral kernel is
Replacing by multiplies each term by
because is an integer. Therefore the kernel is periodic in .
- Why does the Van Vleck formula need a caustic warning?
Solution
The Van Vleck prefactor contains
At a caustic, the classical map between endpoint data becomes singular, and the isolated-trajectory prefactor can diverge. The exact quantum kernel is not normally divergent there. The divergence signals that nearby branches must be treated together using a uniform approximation and the correct Maslov phase.