Contact Terms, Operator Domains, and Perturbative Error Budgets
A modular-response coefficient is reliable only when four logically distinct obligations are met: the correlation kernel is completed as a distribution, every unbounded product has a common domain, regulator limits are taken in a declared order, and the omitted perturbative remainder is bounded. A small quadrature residual cannot compensate for a missing contact term or an undefined commutator.
Required background. Response kernels and stress-tensor insertions distinguish Euclidean, retarded, and modular orderings and show where explicit source variations enter.
Helpful background. Nonlocal modular generators supply resolvent, energy-window, and truncation controls for unbounded or nonlocal generators.
The chapter’s differentiable-family map shows where normalization, contact, and domain data enter before a derivative is interpreted. Its independent validity gates keep those obligations separate rather than compressing them into one undifferentiated error bar.
Contact terms complete the response distribution
Section titled “Contact terms complete the response distribution”At separated points, a current or stress-tensor Ward identity may look homogeneous. Differentiating a time-ordered product also differentiates step functions and transformed insertions, producing terms supported at coincidence. In schematic form,
with signs and factors of fixed by the Euclidean or Lorentzian convention. The original Ward–Takahashi derivation makes the coincidence contribution explicit Takahashi 1957, pp. 371–375. Stress-tensor identities additionally receive metric, measure, and operator variations Osborn and Petkou 1994, §6, eqs. (6.1)–(6.6).
For a moving entangling surface, the regulator itself has support: a split collar, brick wall, replica defect, lattice cut, or mode boundary may move with the surface. Bulk, boundary, contact, and counterterm pieces should therefore be combined before extrapolation:
Only the sum constrained by the Ward identity is a candidate continuum observable. Deformed-half-space modular calculations provide a concrete example in which the shape diffeomorphism, cutoff surface, and its boundary conditions must be tracked together Faulkner et al. 2016, §2.1 and appendix A, especially eqs. (99)–(101).
Unbounded products need a named common domain
Section titled “Unbounded products need a named common domain”For unbounded and , the commutator applied to a vector requires
meaning and in addition to the first actions being defined. Nested commutators require further intersections. Differentiating on a core also requires the core to be invariant under the relevant flow. Dense sets of analytic vectors are one standard route to such control Nelson 1959, pp. 572–579.
Always state the strength of the conclusion:
- a bounded-operator identity;
- equality on a specified invariant core;
- equality of closable quadratic forms;
- or a distributional identity only after smearing.
These are not interchangeable. In particular, agreement of a few matrix elements does not extend an unbounded identity to all Hilbert-space vectors.
A modular-circle second-response benchmark
Section titled “A modular-circle second-response benchmark”Put a free scalar field in a finite box with spatial mode cutoff and isolate one oscillator mode. On its Fock space choose the dimensionless reference modular Hamiltonian
with . Let be Euclidean modular time on the unit circle. A smooth real, reflection-symmetric periodic source prepares a Hermitian Gaussian density operator by inserting in its cut Euclidean path integral. For , the scalar normalization response is
where the periodic modular correlator is
Thus is an explicit second functional derivative of the modular Hamiltonian’s normalization term. The benchmark tests that second-order modular response; it does not pretend that this scalar term is the full operator-valued . Because the theory is Gaussian, third and higher derivatives of this scalar normalization response vanish at this fixed regulator.
On the finite-particle core, and have a common invariant domain. Distributionally on the circle,
Away from , the equation is homogeneous; the derivative jump supplies the periodic delta function.
Point split with the periodic heat kernel
so exactly. Test two independent normalized smooth profiles,
Define the smeared Ward matrix
Fourier orthogonality gives
The zero-splitting target is . Define
The leading errors are profile dependent but controlled:
The two profiles therefore verify the predicted convergence with the expected factor-of-four difference, rather than merely agreeing at one resolution. The control data are , , the two fixed profiles, the spatial cutoff and mode embedding, and the common finite-particle core.
Adversarial contact and domain deletions
Section titled “Adversarial contact and domain deletions”First delete the contact term and keep only the separated-point equation for . The resulting matrix is , hence
at every resolution. Regulator refinement cannot repair the missing distributional term. This is a direct Ward-identity detector for the deliberate failure.
Now delete the common-domain restriction. In the oscillator number basis, take the Hilbert-space vector
It is normalizable, but it is not in because diverges. It is also not in the coordinate domain: the positive large- coefficients make grow logarithmically for number-cutoff truncations . Therefore is undefined. A matrix-element calculation on that appears to converge before these graph norms are checked does not establish an operator identity.
An operational error budget
Section titled “An operational error budget”For a response through second order in a source amplitude , report
together with separate controls:
| Source | Control quantity | Acceptance statement |
|---|---|---|
| Contact/point splitting | for at least two profiles | Tends to zero with the derived profile-dependent power |
| Operator domain | Graph norms on a named invariant core | Remain finite under the reported cutoff extrapolation |
| Spatial regulator | Matched spatial smearing under refinement | Same smeared observable and counterterm condition at every |
| Numerical work | Quadrature and conditioning residuals | Smaller than the leading theoretical uncertainty |
| Perturbative remainder | or a derivative bound | Scales as in the declared window |
If , Taylor’s theorem gives . Without such a bound, halving should reduce a third-order-dominated residual by about eight; failure of that test narrows the perturbative window. In the Gaussian benchmark above, exactly.
The safe order for the benchmark is: take the response derivative at fixed and fixed profiles; then send on the modular circle; finally, for a full smeared-field extension, study with matched spatial mode embeddings, smearings, and counterterms. The displayed single-mode identity is independent of once that mode is retained. A different order is a different claim and must be tested independently.
Common pitfalls
Section titled “Common pitfalls”Treating a separated-point identity as the full distribution. Integrated response can be determined entirely by coincidence support. Verify a smeared Ward target.
Writing a formal commutator on every vector. Name a common invariant core, or weaken the result to a quadratic-form or smeared-correlator statement.
Combining unlike errors in quadrature. Regulator ranges, scheme choices, analytic bounds, and sampling errors have different meanings and should remain separately visible.
Exercises
Section titled “Exercises”1. Recover the oscillator contact term
Section titled “1. Recover the oscillator contact term”Show distributionally on the unit circle that by checking the homogeneous equation away from zero and integrating across a small interval around zero.
Solution
Away from zero, , so the expression vanishes. Integrate from to :
As , the integral term vanishes. Since and , the jump term is . Periodicity matches the values and first derivatives at , so there is no additional boundary contact. The distribution is therefore .
2. Compute the two-profile Ward matrix
Section titled “2. Compute the two-profile Ward matrix”Evaluate and for the periodic heat kernel and the two cosine profiles. Extract their leading errors for .
Solution
Convolution by multiplies the Fourier mode by . The profile contains only , while contains only . Orthonormality therefore gives
Expanding gives
The higher-frequency profile has four times the leading point-splitting error.
3. Separate three failures
Section titled “3. Separate three failures”For the benchmark, state what happens to the Ward residual when (a) the contact is omitted, (b) the vector is used without a domain check, and (c) a nonzero cubic residual fails to decrease under .
Solution
(a) The separated kernel gives , so for every ; this is a contact failure. (b) The truncated vectors have diverging graph norm and logarithmically growing norm, so the limiting commutator is undefined; no Ward residual can promote it to an operator identity. (c) A cubic-dominated remainder should fall by . If it does not, higher orders, regulator effects, or numerical errors dominate, and the claimed second-order window must be reduced. These diagnoses should not be combined into one scalar uncertainty.
References
Section titled “References”- Faulkner, Thomas, Robert G. Leigh, Onkar Parrikar, and Huajia Wang. “Modular Hamiltonians for Deformed Half-Spaces and the Averaged Null Energy Condition.” Journal of High Energy Physics 2016, no. 9 (2016): 038. DOI; Open PDF.
- Nelson, Edward. “Analytic Vectors.” Annals of Mathematics 70 (1959): 572–615. DOI.
- Osborn, Hugh, and Andreas Petkou. “Implications of Conformal Invariance in Field Theories for General Dimensions.” Annals of Physics 231 (1994): 311–362. DOI; Open PDF.
- Takahashi, Yasushi. “On the Generalized Ward Identity.” Il Nuovo Cimento 6 (1957): 371–375. DOI.
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