Lippmann–Schwinger Numerics
The Lippmann–Schwinger equation computes scattering through an integral kernel instead of outward radial propagation. Its numerical difficulty is the free resolvent’s on-shell singularity. Replacing that singularity by an arbitrary small imaginary number changes both quadrature resolution and the physical limiting procedure.
Required background. The Lippmann–Schwinger equation defines the outgoing resolvent; numerical error and stability explains conditioning and the interpretation of residuals.
The radial momentum integral
Section titled “The radial momentum integral”Use wave-number variables and , so . Choose the reduced partial-wave kernel convention
All angular normalization constants are absorbed into the defined kernels ; conversion to a physical amplitude must use this same convention. is a momentum cutoff and must be varied unless it is part of the declared model.
For , the distribution identity separates the integral into a principal value and an on-shell term:
The negative imaginary sign encodes the outgoing prescription.
Pole subtraction before quadrature
Section titled “Pole subtraction before quadrature”For sufficiently smooth , rewrite the principal value as
The first integrand has a removable singularity. Its limiting value at is . Use that limit or an appropriate interpolant when a quadrature node lands on shell.
The on-shell value is an additional unknown unless the grid includes . A Nyström discretization can include it explicitly, producing a linear system . Solve the system; do not explicitly form its inverse. Monitor the residual and condition estimate, especially near a pole.
A separable-kernel benchmark
Section titled “A separable-kernel benchmark”Let with real and real , so the potential kernel is Hermitian. Then
where . For the cutoff model ,
This tests both the subtracted real integral and the imaginary on-shell contribution. The cutoff model is not automatically a cutoff-independent contact interaction; taking requires a separately defined renormalization prescription.
Convergence and failure modes
Section titled “Convergence and failure modes”Vary quadrature order, interval mapping, and cutoff independently. A small linear-system residual establishes the discrete equation, not the continuum integral. Compare with radial partial-wave integration for a potential supported in both representations.
A finite in is possible, but the grid must resolve its narrow Lorentzian before extrapolating . Taking smaller than the quadrature resolution can remove the imaginary contribution instead of approximating it.
For the finite discretized equation, a kernel spectral radius below one guarantees convergence of Born iteration. A direct linear solve can still succeed when that iteration fails: a large kernel eigenvalue need not make singular. The separable example below makes this distinction explicit.
Exercises
Section titled “Exercises”For the separable model, sum the Born series formally and identify its convergence condition.
Solution
The scalar series is , which converges when and sums to . The analytic solution remains meaningful outside that disk except at its poles, so direct iteration can fail where a linear solve succeeds.
References
Section titled “References”- Descouvemont, Pierre, and Daniel Baye, “The R-matrix theory,” Reports on Progress in Physics 73, 036301 (2010), arXiv:1001.0678 — internal-region bases and channel matching.
- Taylor, John R., Scattering Theory: The Quantum Theory of Nonrelativistic Collisions, Dover Publications (2006; original edition 1972) — scattering normalization, amplitudes, and analytic structure.