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Sandbox Physics
Lattice gauge fields and string breaking

L3 · Chapter 5

What electric cutoffs and short chains change

An electric cutoff and a short chain can both change a breaking curve, but they remove different physics. Raising the cutoff restores local flux configurations. Lengthening the chain moves boundaries and may also lengthen the string. Decide what remains fixed before comparing results.

A wrong approximation can conserve energy perfectly

The full resonant oscillation of the four-site example is the exact solution of its two-state matrix. Raising the electric cutoff from one to two restores four more configurations. Their couplings can change the curve. Both calculations may conserve norm and energy to excellent precision.

Ask two separate questions. Did the program solve its matrix correctly? Did that matrix retain the states needed for this physical question? Analytic limits and an independent construction address the first. Cutoff and size comparisons address the second.

Reading: Sandbox Physics FR04 finite Hamiltonian · Sandbox Physics FR04 original numerical references and reproduction scripts

Check probability at the electric boundary

For each link, add the probabilities of configurations with ∣En∣=Emax⁡|E_n|=E_{\max}. This is its electric-edge weight. Large weight can signal that flux-raising or lowering processes are being removed at the boundary.

The Lab displays PedgeP_{\mathrm{edge}}, the probability that at least one internal link reaches the edge. A configuration is counted once even if several links touch it. This global weight differs from the weight defined for one link.

Edge weight is a diagnostic, not an error bound. A unit-flux initial string already sits entirely at the edge when the cutoff is one. Whether that matters depends on where the Hamiltonian can send its amplitude. Small edge weight at one instant also cannot rule out effects of paths removed earlier.

Raise the cutoff and compare the same local fields and pair counts over the same time window. Their change measures the actual effect on the chosen observable. If the two retained ranges still give appreciably different answers, report that result as unconverged.

pedge,n(t)=∑a∣ca(t)∣2 1 ⁣[∣En(a)∣=Emax⁡]p_{\mathrm{edge},n}(t)=\sum_a|c_a(t)|^2\,\mathbf 1\!\left[|E_n(a)|=E_{\max}\right]
The indicator is one when a configuration places this link at the cutoff edge and zero otherwise. The weight is computed from the same saved quantum trajectory.

Match the geometry before increasing size

Keeping sources at the endpoints makes a four-to-six-site comparison change the string length and its initial electric energy. A difference can come from a longer string or from more distant boundaries. Those are different questions.

To isolate a boundary effect, put the same source pair inside larger chains. Keep source separation, local sublattice parity, couplings and initial local configuration fixed. Compare the same sites and links near the sources. The staggered pattern repeats every two sites, so a translation must preserve that convention.

Added source-free regions can themselves quench from the bare product reference. A whole-chain pair count therefore does not compare the same local problem. Local fields and densities show more directly when the extra region starts affecting the center.

Identify a boundary return by changing the boundary

Plot a matched local observable at two chain lengths and locate the time when the curves separate. Then test whether a return feature shifts later when the boundary is moved away. If the source separation changes too, that test no longer isolates the boundary.

A small chain has no automatically applicable classical propagation speed. Interference among a few energies can produce complicated oscillations. Retaining the size scan makes local differences reproducible over the chosen time window and connects a return feature to a specified boundary position.

Keep the sources of uncertainty traceable

Save Hamiltonian parameters, basis dimension, sample times and raw local observables. Report norm and energy drift, squared Gauss residuals, independent-solver differences, cutoff changes and matched-geometry size changes separately. A deterministic calculation needs no random seed. Synthetic shot noise, if added later, needs its own seed and sample count.

These diagnostics answer different questions. Adding them does not automatically produce a confidence interval. A quantitative interval for one observable requires a stated rule for turning those comparisons into an uncertainty estimate.

Reading: ITensorMPS.jl

Try the prediction

Change one truncation at a time

  1. Hold size, sources and couplings fixed, then raise the electric cutoff from one to two.
  2. Compare the central field and pair count at the same time; record the difference and inspect the edge weight.
  3. Change chain length next. Check whether source separation also changed and state which physical differences your comparison includes.

Exercises and explanations

  1. If both cutoff calculations conserve energy, is the smaller cutoff sufficient?

    Read the explanation

    That does not follow. Each calculation conserves the energy of its own Hamiltonian. The smaller one can omit important configurations. Compare the target observable as the cutoff is raised.

  2. Why is moving from endpoint sources on six sites to endpoint sources on eight sites not a pure finite-size test?

    Read the explanation

    Source separation grows, so the initial string and its field energy also change. To isolate the boundary, fix source separation and local sublattice parity while extending the chain outside it.

Sources and calculation scope

  1. Sandbox Physics FR04 finite Hamiltonian, conventions and calculation scope

    Defines the course’s zero-based staggered charge, open boundaries, integer-flux hard cutoff, source geometry and deliberate gauge-breaking error. The accompanying paper-reproduction and numerical-validation notes specify which finite-model calculations were checked independently. This is our model definition and calculation record.

  2. Sandbox Physics FR04 original numerical references and reproduction scripts

    benchmarks-browser.json and benchmarks-independent.json retain the separately calculated raw observables; benchmarks-summary.json records their differences, numerical environment, cutoff and finite-size checks. scripts/frontier/fr04/reproduce-benchmarks.mjs and independent-reference.py regenerate the original deterministic records. No experimental data are included.

  3. ITensorMPS.jl, DMRG and MPS Time Evolution official tutorials

    The DMRG tutorial defines ground-state optimization and its bond-dimension and discarded-weight controls. The linked MPS Time Evolution tutorial treats a different task. They provide the next numerical method after small-chain exact diagonalization; no large-system tensor-network result is claimed for this course.

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