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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.

Use wave-number variables p,q,kp,q,k and α=ℏ2/(2μ)\alpha=\hbar^2/(2\mu), so E=αk2E=\alpha k^2. Choose the reduced partial-wave kernel convention

T(p,k)=V(p,k)+∫0Λdq q2V(p,q)T(q,k)E−αq2+i0.T(p,k)=V(p,k)+ \int_0^\Lambda dq\, \frac{q^2V(p,q)T(q,k)}{E-\alpha q^2+i0}.

All angular normalization constants are absorbed into the defined kernels V,TV,T; conversion to a physical amplitude must use this same convention. Λ\Lambda is a momentum cutoff and must be varied unless it is part of the declared model.

For 0<k<Λ0<k<\Lambda, the distribution identity separates the integral into a principal value and an on-shell term:

∫0Λq2F(q) dqE−αq2+i0=1αPV⁡∫0Λq2F(q)k2−q2 dq−iπk2αF(k).\int_0^\Lambda\frac{q^2F(q)\,dq}{E-\alpha q^2+i0} = \frac1\alpha\operatorname{PV}\int_0^\Lambda \frac{q^2F(q)}{k^2-q^2}\,dq -\frac{i\pi k}{2\alpha}F(k).

The negative imaginary sign encodes the outgoing prescription.

For sufficiently smooth FF, rewrite the principal value as

PV⁡∫0Λq2F(q)k2−q2 dq=∫0Λq2F(q)−k2F(k)k2−q2 dq+kF(k)2log⁡∣Λ+kΛ−k∣.\operatorname{PV}\int_0^\Lambda \frac{q^2F(q)}{k^2-q^2}\,dq =\int_0^\Lambda \frac{q^2F(q)-k^2F(k)}{k^2-q^2}\,dq +\frac{kF(k)}2 \log\left|\frac{\Lambda+k}{\Lambda-k}\right|.

The first integrand has a removable singularity. Its limiting value at q=kq=k is −F(k)−kF′(k)/2-F(k)-kF'(k)/2. Use that limit or an appropriate interpolant when a quadrature node lands on shell.

The on-shell value T(k,k)T(k,k) is an additional unknown unless the grid includes kk. A Nyström discretization can include it explicitly, producing a linear system (I−K)t=v(I-K)t=v. Solve the system; do not explicitly form its inverse. Monitor the residual and condition estimate, especially near a pole.

Let V(p,q)=λg(p)g(q)V(p,q)=\lambda g(p)g(q) with real λ\lambda and real gg, so the potential kernel is Hermitian. Then

T(p,k)=g(p)τ(E)g(k),τ(E)=λ1−λI(E),T(p,k)=g(p)\tau(E)g(k), \qquad \tau(E)=\frac{\lambda}{1-\lambda I(E)},

where I(E)=∫0Λq2g(q)2/(E−αq2+i0) dqI(E)=\int_0^\Lambda q^2g(q)^2/(E-\alpha q^2+i0)\,dq. For the cutoff model g=1g=1,

I(E)=1α[−Λ+k2log⁡∣Λ+kΛ−k∣−iπk2].I(E)=\frac1\alpha \left[-\Lambda+\frac k2 \log\left|\frac{\Lambda+k}{\Lambda-k}\right| -\frac{i\pi k}{2}\right].

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 Λ→∞\Lambda\to\infty requires a separately defined renormalization prescription.

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 η>0\eta>0 in E+iηE+i\eta is possible, but the grid must resolve its narrow Lorentzian before extrapolating η→0\eta\to0. Taking η\eta 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 I−KI-K singular. The separable example below makes this distinction explicit.

For the separable model, sum the Born series formally and identify its convergence condition.

Solution

The scalar series is τ=λ[1+λI+(λI)2+⋯ ]\tau=\lambda[1+\lambda I+(\lambda I)^2+\cdots], which converges when ∣λI∣<1|\lambda I|<1 and sums to λ/(1−λI)\lambda/(1-\lambda I). The analytic solution remains meaningful outside that disk except at its poles, so direct iteration can fail where a linear solve succeeds.

  • 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.