Gap Equations, Dimensional Transmutation, and Physical Mass
A gap equation is a stationarity condition for an effective action. Its nonzero solution shows that a regulated saddle has generated a scale, but the symbol appearing in that saddle is a physical mass only after it is matched to a declared observable. The matching can be direct, as for the leading large- vector propagator; indirect, as for gauge-invariant channels in ; or different for distinct excitations, as in the Gross–Neveu fermion and auxiliary-field channels.
Required background. The O(N) model as a strong-coupling laboratory supplies the regulated leading gap equation. Helpful background. Vector models and auxiliary large-N saddles supplies the determinant expansion and the order in .
Renormalizing the O(N) saddle
Section titled “Renormalizing the O(N) saddle”At leading large , with , a circular Euclidean momentum cutoff gives
For , separate the logarithmic divergence by defining
The continuum saddle equation becomes
Holding the bare theory fixed and differentiating with respect to gives
Consequently the right-hand side for is RG invariant at this order. The calculation is dimensional transmutation: the dimensionless renormalized coupling at a reference scale is replaced by the dimensionful invariant . A finite redefinition of rescales the associated parameter, so a bare exponential without a named scheme is not a universal numerical prediction.
The exact cutoff equation contains a useful check:
Expanding at small recovers the transmuted exponential; expanding outside that regime has no continuum weak-bare-coupling interpretation.
Five different quantities called a gap
Section titled “Five different quantities called a gap”The same letter is often used for logically distinct objects:
- Auxiliary saddle: a constant stationary value such as or . This is defined by the effective action and its regulator.
- Inverse correlation length: for a specified Euclidean operator , at large separation, up to powers and multiparticle effects.
- Pole mass: an isolated pole of a Lorentzian two-point function at , for a stable state created by the declared operator.
- Screening mass: the inverse range extracted from a static response or spatial correlator. At zero temperature in a Lorentz-invariant vacuum it can coincide with a particle mass in a suitable channel; at finite temperature or density it need not.
- Finite-volume spectral gap: . It approaches an infinite-volume mass only after the state and the limit are controlled.
The pole and correlation-length definitions can also be channel-dependent. A theory may have a lightest scalar, vector, or topological excitation with different masses. A branch cut can determine large-distance behavior without an isolated one-particle pole.
Observable matching in three models
Section titled “Observable matching in three models”O(N): direct at leading order
Section titled “O(N): direct at leading order”For the large- saddle,
The field is a physical local operator, so
At subleading order, the self-energy shifts the pole and the relation to a chosen RG scale. The equality is an output of the propagator, not a definition applied to every multiplier.
CP(N−1): charged saddle, gauge-invariant spectrum
Section titled “CP(N−1): charged saddle, gauge-invariant spectrum”In the projective model the constraint saddle again gives , and a gauge-fixed propagator contains . But carries the redundant charge. A physical claim must instead use a gauge-invariant operator such as , a Wilson-line-dressed bilocal, or a finite-volume energy. Its spectral density can begin at a multiparticle threshold, and the induced gauge dynamics can reorganize the spectrum. Therefore
Gross–Neveu: fermion mass versus sigma channel
Section titled “Gross–Neveu: fermion mass versus sigma channel”In the discrete-chiral Gross–Neveu model, a constant Hubbard–Stratonovich saddle enters the fermion inverse propagator as
At leading large , the fermion pole mass is . The propagating fluctuation is governed by a fermion bubble, not by the number inserted into a free scalar propagator. Its pole or threshold must be computed separately. Moreover, in a continuous-chiral variant the amplitude saddle does not license a finite- continuous order parameter.
These distinctions are aligned with the chapter’s model-regime map and observable-and-control comparison.
Finite volume and order of limits
Section titled “Finite volume and order of limits”With periodic length , the integral becomes a sum and the saddle becomes :
After applying the same ultraviolet regulator, Poisson resummation expresses the difference from infinite volume as terms suppressed by when . When , zero modes and finite-size effects are not small. One must specify whether the limits are
and in what order. Taking first can create a sharp saddle or apparent order that infrared fluctuations modify at every finite .
A practical mass-identification test
Section titled “A practical mass-identification test”Given a nonzero saddle parameter, ask:
- Which renormalized action and scheme define it?
- Which gauge-invariant operator or finite-volume state is being measured?
- Is the signal an isolated pole, a threshold, or exponential screening?
- At what order in , coupling, lattice spacing, and volume is the relation controlled?
- What dimensionless ratio can be checked by an independent method?
The final question is particularly valuable. Ratios such as , , or remove one arbitrary unit, though they can still depend on the continuum scheme or state definition.
Common pitfalls
Section titled “Common pitfalls”Dropping the subtraction scale. Writing is a regulator-level result. Continuum comparisons require a renormalized coupling or a named parameter.
Reading a pole from the effective potential. The effective potential fixes zero-momentum stationary points. A pole requires the momentum-dependent second variation and analytic continuation.
Ignoring the operator channel. “The correlation length” is unambiguous only when the lightest state couples to the operator being measured. Selection rules can make another channel decay with a shorter length.
Exercises
Section titled “Exercises”- Verify directly that
is invariant under the leading beta function.
Solution
Taking a logarithmic derivative gives
Using makes the right-hand side vanish. The equality is accurate to the same order as the beta function and saddle.
- Suppose a gauge-invariant scalar correlator has spectral density
with no isolated pole. What scale controls its long-distance Euclidean decay?
Solution
The first spectral support occurs at the two-particle threshold . The correlator therefore decays as times a dimension-dependent power determined by the threshold behavior. Its inverse correlation length is , but there is no scalar particle of pole mass . This is why a threshold and a pole must be distinguished.
Continue
Section titled “Continue”Apply the test to The Gross–Neveu Model and Dynamical Mass Generation and The CP(N−1) Model.
References
Section titled “References”- Coleman, Sidney. Aspects of Symmetry: Selected Erice Lectures. Cambridge University Press, 1985, ch. 8, §§ 2.2–2.3. DOI.
- Gross, David J., and André Neveu. “Dynamical Symmetry Breaking in Asymptotically Free Field Theories.” Physical Review D 10 (1974): 3235–3253. DOI.
- Mariño, Marcos. Instantons and Large N: An Introduction to Non-Perturbative Methods in Quantum Field Theory. Cambridge University Press, 2015, ch. 6. DOI.