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Topological-Boundary Averaging in Field Theories

Updated 5 July 2026
  • Topological-boundary averaging is a framework that varies and integrates boundary data while keeping the bulk structure fixed, offering clear diagnostics beyond standard bulk observables.
  • It applies to multiple settings, from Abelian topological order and SymTFT formulations to BCFT and quantum spin systems, using methods like Gaussian and Haar-type measures.
  • The technique allows computing physical quantities such as ground-state degeneracies, partition functions, and operator algebras, thereby distinguishing phases not discernible by bulk properties alone.

Topological-Boundary Averaging denotes a family of constructions in which topological or boundary data are varied, summed, integrated, or compressed while some bulk structure remains fixed. In the cited literature, the expression is used in several distinct ways. In Abelian topological order, it can mean comparing the ground-state degeneracy on manifolds with boundary across admissible gapped boundary conditions, and optionally averaging those values over boundary types (Wang et al., 2012). In SymTFT, it means fixing the SymTFT and the physical boundary condition, while averaging over topological boundary conditions at the other end of a slab, thereby averaging over absolute completions of a fixed relative theory (Yu, 7 May 2026). In locally topologically ordered quantum spin systems, a canonical quantum channel compresses bulk observables onto a boundary quasi-local algebra, acting as a rigorous boundary-to-bulk averaging map (Jones et al., 2023). In two-dimensional BCFT, boundary averaging is implemented as a Gaussian average over bulk–boundary OPE data, producing wormhole contributions and resolving end-of-the-world brane intersections (Kusuki, 2022).

1. Terminological scope

The term does not name a single universally standardized construction. Rather, the literature uses it for several boundary-centered operations that share a common pattern: some boundary datum is varied or integrated, while a bulk theory, relative theory, or topological phase is held fixed. This suggests a family resemblance rather than a single invariant definition.

Setting Fixed structure Boundary operation
Abelian topological order Bulk phase and geometry Compare or average boundary GSD over gapped boundary types
SymTFT slab SymTFT and physical boundary condition Average over topological caps with groupoid/Haar-type measure
Local topological order Net of local ground state projections Compress bulk observables to boundary algebra via a canonical channel
BCFT / AdS3_3 Bulk CFT data and boundary label aa Gaussian averaging over CpIaC^a_{p\mathbb{I}}
Hyperbolic lattices Bulk Hamiltonian on 2(Γ)\ell^2(\Gamma) Remove geometric boundaries via converging periodic quotients

A recurrent distinction is between topological completion and local dynamics. In the SymTFT formulation, the Hamiltonian comes from the physical boundary condition BphysB_{\mathrm{phys}}, while the topological boundary condition LL supplies the Hilbert space and the spectrum of allowed charge sectors on which that Hamiltonian acts (Yu, 7 May 2026). In Wang–Wen’s boundary-degeneracy setting, the bulk topological order is fixed, but the open-manifold ground-state degeneracy depends crucially on the boundary gapping conditions (Wang et al., 2012).

2. Boundary degeneracy and averaging in topological order

Wang and Wen introduced boundary degeneracy as the ground-state degeneracy of a topologically ordered system on a compact orientable manifold with boundary, under the assumption that all boundary edge modes are fully gapped (Wang et al., 2012). They emphasized that boundary degeneracy provides richer information than bulk degeneracy, because it depends not only on the bulk and manifold topology but crucially on boundary gapping conditions.

In the Abelian KK-matrix Chern–Simons framework, gapped boundaries arise from condensing a complete set of non-fractionalized particles on the edge through sine-Gordon terms

dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),

with aΓe\ell_a\in \Gamma_e, where Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}. The condensed set aa0 must satisfy the Boundary Fully Gapping Rules: for all aa1,

aa2

aa3

aa4

and aa5 (Wang et al., 2012). The compatible anyons form a larger lattice aa6 consisting of quasiparticles with trivial braiding statistics relative to aa7.

For a manifold with aa8 boundaries aa9, each carrying boundary lattice CpIaC^a_{p\mathbb{I}}0, Wang–Wen derived the boundary GSD formula

CpIaC^a_{p\mathbb{I}}1

where CpIaC^a_{p\mathbb{I}}2 is the set of tuples of compatible anyons satisfying the total neutrality constraint CpIaC^a_{p\mathbb{I}}3 (Wang et al., 2012). On a cylinder or annulus, this reduces to counting deconfined Wilson-line sectors compatible with both boundaries and the neutrality condition.

The standard examples make the diagnostic content explicit. For the CpIaC^a_{p\mathbb{I}}4 toric code,

CpIaC^a_{p\mathbb{I}}5

rough and smooth boundaries correspond to condensates generated by CpIaC^a_{p\mathbb{I}}6 and CpIaC^a_{p\mathbb{I}}7. On a cylinder, rough–rough or smooth–smooth gives CpIaC^a_{p\mathbb{I}}8, while rough–smooth gives CpIaC^a_{p\mathbb{I}}9. For the 2(Γ)\ell^2(\Gamma)0 double-semion model,

2(Γ)\ell^2(\Gamma)1

Wang–Wen show two boundary gapping lattices 2(Γ)\ell^2(\Gamma)2 and 2(Γ)\ell^2(\Gamma)3, but these are identified by 2(Γ)\ell^2(\Gamma)4, yielding a single physical boundary condition, and the cylinder GSD remains 2(Γ)\ell^2(\Gamma)5 for any pair (Wang et al., 2012). Thus the 2(Γ)\ell^2(\Gamma)6 toric code and 2(Γ)\ell^2(\Gamma)7 double-semion model have identical bulk GSD on closed surfaces and the same doubled fusion algebra 2(Γ)\ell^2(\Gamma)8, but different boundary GSD on a cylinder.

The paper itself does not define an averaging procedure. A meaningful reinterpretation given in the data is to fix a bulk phase and geometry, let 2(Γ)\ell^2(\Gamma)9 be the set of admissible gapped boundary conditions, and define

BphysB_{\mathrm{phys}}0

This “Topological-Boundary Averaging” is not a topological invariant: it depends on the boundary ensemble and weights (Wang et al., 2012). For BphysB_{\mathrm{phys}}1, the toric code has two distinct boundary types and a uniform average BphysB_{\mathrm{phys}}2, whereas the double-semion theory effectively has one boundary type and BphysB_{\mathrm{phys}}3. The averaged value and the full distribution BphysB_{\mathrm{phys}}4 therefore distinguish phases that are indistinguishable by bulk GSD alone.

3. SymTFT formulation: averages over topological completions

In the SymTFT formulation, a BphysB_{\mathrm{phys}}5-dimensional QFT with generalized global symmetry is realized as a boundary condition for a BphysB_{\mathrm{phys}}6-dimensional topological theory. The physical boundary condition BphysB_{\mathrm{phys}}7 on one end of a slab BphysB_{\mathrm{phys}}8 prepares a partition vector

BphysB_{\mathrm{phys}}9

while a topological boundary condition LL0 on the other end defines a cap functional

LL1

The corresponding absolute theory has partition function

LL2

Topological-boundary averaging is then

LL3

with LL4 the intrinsic groupoid/Haar-type measure on the space of topological boundaries (Yu, 7 May 2026).

A central point is that this is an average over absolute completions of a fixed relative theory, not an average over arbitrary local dynamics. Different LL5 select which bulk topological operators can end on the boundary, thereby fixing global form, charge lattice, and other topological data of the absolute theory. For finite families of caps, the integral is replaced by a groupoid sum

LL6

while continuous components use invariant Haar measures descending to quotients of the form LL7 (Yu, 7 May 2026).

Two examples organize the framework. In the Marolf–Maxfield closed-string sector, topological boundary conditions are labeled by finite sets LL8, the groupoid is LL9, and the groupoid/Haar-type weight is KK0. A cap specified by KK1 produces a closed 2D oriented TFT with Frobenius algebra

KK2

and KK3. With fugacity KK4, the normalized moments are Bell polynomials,

KK5

with generating function

KK6

Non-factorization arises only after averaging over finite-set caps with the Poisson weights KK7 (Yu, 7 May 2026).

In the Narain example, the SymTFT is a 3D abelian BF theory with KK8-valued gauge fields,

KK9

and compact topological boundary conditions are maximal isotropic subgroups dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),0. They are parametrized by dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),1 through dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),2 and form the Narain moduli space

dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),3

The averaging measure is the Haar-induced, equivalently Zamolodchikov, measure

dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),4

For dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),5, the Siegel–Weil formula gives

dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),6

while for dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),7 the theta integral diverges at cusps, and for dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),8 the radius average diverges due to noncompact endpoints (Yu, 7 May 2026).

4. Operator-algebraic realization in locally topologically ordered systems

An operator-algebraic realization of boundary averaging appears in the theory of local topological order. For a locally topologically ordered quantum spin system on dtdxagacos(a,IΦI),\int dt\,dx \sum_a g_a \cos(\ell_{a,I}\Phi_I),9, one has a quasi-local algebra aΓe\ell_a\in \Gamma_e0, a translation-invariant net of local algebras aΓe\ell_a\in \Gamma_e1, and a translation-invariant net of local ground-state projections aΓe\ell_a\in \Gamma_e2. The Local Topological Order axioms include the Hastings condition, boundary factorization, boundary stability/surjectivity, and boundary injectivity (Jones et al., 2023).

These axioms produce a net of boundary algebras aΓe\ell_a\in \Gamma_e3 on a codimension-one boundary hyperplane aΓe\ell_a\in \Gamma_e4. If aΓe\ell_a\in \Gamma_e5 and aΓe\ell_a\in \Gamma_e6 surrounds aΓe\ell_a\in \Gamma_e7 with nonempty aΓe\ell_a\in \Gamma_e8, then the compression aΓe\ell_a\in \Gamma_e9 of a local bulk observable Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}0 lies in a boundary algebra localized on the interval Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}1. Passing to the inductive limit gives the boundary quasi-local algebra Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}2 (Jones et al., 2023).

The key averaging object is the canonical unital completely positive map

Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}3

defined by

Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}4

It acts as the identity on the boundary subalgebra, but on observables deep in the bulk it reduces to the canonical ground state Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}5: if Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}6 inside Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}7, then Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}8 (Jones et al., 2023). In this precise sense, Γe={JcJKIJcJZ}\Gamma_e=\{\sum_J c_J K_{IJ}\mid c_J\in\mathbb Z\}9 “forgets” microscopic interior details and averages bulk observables to their boundary-compatible component.

This yields a Hamiltonian-free bulk–boundary correspondence. Any boundary state aa00 on aa01 induces a bulk–boundary state aa02 on aa03, and that state restricts to the canonical ground state aa04 in the interior. The construction is therefore not an average over boundary conditions, but a canonical boundary-to-bulk averaging map.

The framework also identifies the boundary algebra as a complete carrier of bulk topological information. For Levin–Wen models, the boundary net is canonically identified with a fusion categorical net aa05, where aa06. Its DHR category satisfies

aa07

recovering the Drinfeld center of the input category, while for the Toric Code one obtains the quantum double of aa08 (Jones et al., 2023). The canonical boundary state is a trace iff aa09 is pointed; otherwise it is a KMS-1 state for a locally representable dynamics, and the associated cone and boundary von Neumann algebras are type III rather than type II (Jones et al., 2023).

5. Boundary averaging in BCFT and semiclassical gravity

In two-dimensional BCFT, boundary averaging is formulated as a Gaussian ensemble over bulk–boundary OPE coefficients. For a conformal boundary condition aa10 with boundary state

aa11

the averaged ensemble treats aa12 as Gaussian random variables with

aa13

and variance

aa14

where aa15 is the modular aa16-matrix (Kusuki, 2022).

The annulus partition function in the closed channel is

aa17

and modular duality gives the open-channel decomposition

aa18

or, in the holographic/continuous case, a spectral density aa19. For aa20, the average yields

aa21

so the open spectrum contains only “black-hole” states aa22 and no vacuum (Kusuki, 2022).

The disk two-point bootstrap provides the geometric consequence. In Liouville variables aa23 and aa24, the lowest open-channel Liouville momentum is

aa25

If aa26, equivalently aa27, then aa28 and

aa29

This matches the threshold at which a heavy bulk operator would otherwise induce an end-of-the-world brane self-intersection, because the conical defect angle satisfies

aa30

and aa31 iff aa32 (Kusuki, 2022). The averaged boundary bootstrap therefore replaces an unphysical intersecting-brane configuration by a black-hole saddle.

The same Gaussian averaging generates wormhole contributions. Averaged products of disk correlators produce Liouville four-point functions rather than factorized products, and replica wormholes appear in BCFT Rényi computations. This is the basis for the proposal that boundary averaging provides a BCFT dual of the island model (Kusuki, 2022). A persistent misconception is that the average is over arbitrary boundary labels aa33; the construction described here relies on Gaussian averaging of the bulk–boundary data aa34, while aa35 is kept fixed.

6. Broader boundary-aware averaging in analysis, geometry, and computation

Several neighboring literatures use boundary-aware averaging in ways that are not identical to the preceding topological-field-theoretic constructions, but still fit the pattern of preserving topology while smoothing, summing, or coarse-graining boundary data.

For continuous functions, averaging by a measure aa36 on aa37 is defined by

aa38

Topological stability means that aa39 and aa40 are topologically equivalent for all sufficiently small aa41. The cited results establish that, for continuous aa42 with finitely many local extremes, global topological stability of aa43 under averaging is equivalent to topological stability of the germs at its local extremes, and they provide explicit criteria for measures with locally continuous and locally constant densities, including the aa44-criterion for piecewise constant aa45 (Maksymenko et al., 2016).

For sampled manifolds with boundary, union-of-balls offsets implement a boundary-aware aggregation of data points. If aa46 is a compact differentiable manifold with boundary, aa47 is aa48-dense in aa49, and aa50 with aa51, then

aa52

deformation retracts to aa53, with explicit homotopy

aa54

where aa55 is the nearest-point projection (Wang et al., 2018). Here the “averaging” is geometrically realized by thickening the sample while preserving the topology of a manifold with boundary.

In regular hyperbolic tessellations, converging periodic boundary conditions eliminate geometric boundary effects by passing to a nested sequence of finite-index normal subgroups aa56 and boundaryless finite quotients aa57. The normalized traces

aa58

converge to the bulk von Neumann trace, so that

aa59

This is described explicitly as Topological-Boundary Averaging: boundary contributions are absent on the closed quotients, and their finite-size imprints are suppressed by normalized trace averaging (Lux et al., 2023).

In computer vision, the TOP+BAC framework combines topology extracted from density-based clustering with Bayesian active contours. The paper states that this combination “suggests a natural pathway to Topological-Boundary Averaging,” formalized as an averaged boundary

aa60

or, in level-set form,

aa61

with topology penalties enforcing desired Betti numbers or Euler characteristic (Luo et al., 2019). This is presented as an extension rather than a definition already present in the original method.

A different computational use appears in the study of boundary criticality in interacting topological insulators. There, “boundary averaging” means averaging boundary observables along the edge,

aa62

to improve statistical accuracy and define boundary observables independent of edge position (Ge et al., 17 Apr 2025).

7. Common structure, distinctions, and diagnostic value

Across these usages, boundary averaging is rarely an invariant in its own right. In Wang–Wen’s setting, the average over boundary GSD values depends on the ensemble of admissible condensates and on the weights assigned to them (Wang et al., 2012). In the SymTFT setting, the measure is intrinsic only after specifying the groupoid or homogeneous-space structure of the topological boundary conditions (Yu, 7 May 2026). In BCFT, the average depends on the Gaussian statistics assigned to aa63 and on the universal heavy-asymptotic formula for their variance (Kusuki, 2022).

What is common is the diagnostic role of the boundary sector. In Abelian topological order, the pattern of boundary degeneracies distinguishes phases with identical bulk fusion data (Wang et al., 2012). In SymTFT, averaging over caps distinguishes different absolute completions of the same relative theory (Yu, 7 May 2026). In the operator-algebraic framework, the boundary net aa64 and its DHR category recover the bulk topological order, while the canonical channel aa65 makes boundary states parameterize bulk–boundary states (Jones et al., 2023). In AdS/BCFT, boundary averaging generates non-factorization and selects physically acceptable bulk saddles (Kusuki, 2022).

A second recurring theme is that “boundary” can refer to very different objects: gapped boundaries of topological phases, topological boundary conditions in a SymTFT slab, boundary states in BCFT, codimension-one boundary algebras in quantum spin systems, open boundaries in hyperbolic approximants, or geometric boundaries in sampled manifolds. A plausible implication is that the most useful encyclopedic understanding of Topological-Boundary Averaging is not as a single theorem, but as a boundary-centric methodology: hold the relevant bulk structure fixed, vary or integrate the admissible boundary data, and extract quantities—degeneracies, partition functions, spectral measures, or operator algebras—that are inaccessible from bulk information alone.

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