One-Dimensional Schrodinger Systems
One-dimensional potentials are where the abstract postulates become wave mechanics. A free particle spreads, a particle in a box has quantized standing waves, a finite well can bind only certain states, and a barrier can transmit particles even when the classical kinetic energy would be negative inside.
Sakurai presents wave mechanics after Dirac notation and dynamics, treating wave functions as representations of kets. Ballentine uses coordinate and momentum representations early, with careful attention to probability flux and boundary conditions. The Gottfried-named notes start with wave functions and then build the formalism. Schiff's classic approach is closest to the traditional sequence: solve differential equations, then interpret the spectra.
Definitions
For a particle of mass in one dimension,
In the position representation,
so the time-dependent Schrodinger equation is
For a time-independent potential, stationary states have
where
The probability density is
and the probability current is
They obey the continuity equation
For finite jumps in , the wave function and its first derivative are continuous. For an infinite wall, the wave function vanishes at the wall.
Key results
For the infinite square well on ,
The normalized eigenfunctions and energies are
The finite well differs in two crucial ways: bound-state wave functions leak into the classically forbidden region, and the number of bound states is finite for a finite-depth well. The matching conditions lead to transcendental equations rather than a simple closed-form spectrum.
For a rectangular barrier of height and width , with , the decay constant inside the barrier is
When the barrier is thick enough that , the transmission probability is exponentially small:
The proportionality factor depends on boundary matching. The exponential dependence is the main physical point: classically forbidden does not mean quantum impossible.
A free particle energy eigenstate has the form
Such a plane wave is not normalizable on the infinite line, so physical free particles are wave packets:
Sakurai interprets this through the position representation of kets, while Ballentine emphasizes the probability current and the distinction between normalizable packets and generalized eigenfunctions.
Visual
Infinite well on 0 < x < L
V
^ infinity infinity
| | |
| | |
| |_________________|
| 0 L x
u1: /\
/ \
_______/ \_______
u2: /\ /\
/ \ / \
_______/ \/ \______
| System | Boundary condition | Spectrum | Key lesson |
|---|---|---|---|
| Free particle | scattering or packet normalization | continuous | momentum eigenstates are generalized |
| Infinite well | discrete energies | confinement quantizes wavelength | |
| Finite well | match and | finite discrete bound states plus continuum | forbidden tails matter |
| Barrier | match incoming, reflected, transmitted waves | continuum | tunneling gives nonzero transmission |
Worked example 1: Infinite well normalization and energy
Problem. A particle is in a one-dimensional infinite well . Find the normalized first excited state and its energy.
Method.
- Inside the well, solve
- Write
-
Apply , so .
-
Apply , so
- The first excited state has :
- Normalize:
- Therefore
- The energy is
Checked answer. The first excited state has one internal node at , and its energy is four times the ground-state energy.
Worked example 2: Tunneling scale through a barrier
Problem. Estimate the exponential tunneling factor for an electron with incident on a barrier with and width .
Method.
- The forbidden-region decay constant is
- Convert the energy difference:
- Substitute and :
- Compute
- The exponential factor is
Checked answer. The full transmission coefficient is not exactly this number because matching prefactors matter, but the estimate correctly shows a few-percent scale rather than zero.
Code
import numpy as np
L = 1.0
n_grid = 400
x = np.linspace(0, L, n_grid)
dx = x[1] - x[0]
psi2 = np.sqrt(2 / L) * np.sin(2 * np.pi * x / L)
norm = np.trapz(abs(psi2) ** 2, x)
node_index = np.argmin(abs(x - L / 2))
print("normalization:", norm)
print("value near node:", psi2[node_index])
Common pitfalls
- Applying infinite-wall boundary conditions to a finite well. Finite wells have exponential tails outside.
- Treating plane waves as normalizable particles. Plane waves are idealized momentum eigenstates; packets are physical states.
- Forgetting derivative continuity at finite potential jumps. Only infinite jumps allow derivative discontinuities through the limiting wall model.
- Equating with impossibility. In quantum mechanics it means local exponential behavior, not zero amplitude.
- Losing current conservation in scattering. Reflection and transmission probabilities must be computed from currents, not only from amplitude magnitudes when wave numbers differ.
- Assuming all bound-state energies can be written in elementary closed form. Finite wells generally require numerical roots.
- Ignoring parity when a potential is symmetric. Even and odd states reduce the matching work.
Boundary conditions carry physical content. In an infinite well, the wall is an idealization of an infinitely high potential, so the wave function is forced to zero at the boundary. In a finite well, the wave function penetrates into the exterior and both and are continuous. At a delta-function potential, the wave function is continuous but the derivative has a jump. Treating all boundaries the same is one of the quickest ways to get a plausible-looking but wrong spectrum.
It is also important to distinguish stationary states from general time-dependent states. A single energy eigenstate has a time-independent probability density because the phase cancels in . A superposition of energy eigenstates usually has time-dependent density because relative phases evolve. This is where the Dirac and wave-mechanics pictures meet: time dependence lives in phase factors attached to energy components.
For scattering in one dimension, use current rather than amplitude alone. If the incident and transmitted regions have different wave numbers, the transmitted probability is not simply ; the velocity or current factor must be included. Ballentine's emphasis on probability flux helps prevent this mistake. The same current logic returns in three-dimensional scattering as flux and cross section.
One-dimensional problems are also model laboratories. The infinite well teaches quantization by boundary conditions. The finite well teaches matching and tunneling tails. The barrier teaches classically forbidden transmission. The free packet teaches dispersion. These examples should not be memorized as unrelated formulas; they are variations of the same eigenvalue equation plus normalization, boundary conditions, and probability interpretation.
When an exact solution is unavailable, one-dimensional systems are also the natural testing ground for numerical methods. Finite-difference Hamiltonians should be Hermitian, eigenvectors should be orthogonal under the chosen grid inner product, and bound-state energies should converge as the grid is refined. Numerical spectra that depend strongly on box size or grid spacing are usually revealing a discretization artifact rather than new physics.