Research paperHistorical importARR-2026-2ZQ6F57N2H8MG91V · v1 · 2026-07-02

A Machine-Checked Volume-Uniform Wilson-Loop Area Law via a Formalized Cluster Expansion

Lluis Eriksson

Abstract

We report a complete formalization, in Lean 4 over Mathlib, of volume-uniform Wilson-loop area laws for SU(N c ) lattice gauge theory in an explicit strong-coupling window - including the case of the exact Wilson Boltzmann factor, not a linearized surrogate. The headline theorem bounds the normalized Wilson-loop expectation by N c e P·4dK σ Area(C) e P·4dS(σ) , where Area(C) is an intrinsic combinatorial filling area of the loop, P is its edge-support size, and every constant is volume-free: the bound holds uniformly over all finite lattice sizes. The partition function is cancelled through a fully formalized volume-restricted cluster expansion (loop-tagged factorization, restricted Mayer inversion, Z-ratio bounds, and a pinned-gas resummation built on a Kotecky-Preiss layer with Penrose-style spanning-tree counting). A reusable repackaging converts the bound into manifest exponential area decay with a strictly positive string tension, and the non-vacuity of every hypothesis window is itself machine-checked - both the cluster smallness window and the decay-repackaging window, the latter with an explicit witness of tension log 2 - 1/2. For every exported theorem in this chain the Lean kernel's axiom oracle reports exactly [propext, Classical.choice, Quot.sound]; there is no sorry and no project axiom in the dependency cone. To our knowledge this is the first machine-checked cluster-expansion proof in lattice quantum field theory. All artifacts are public, with per-theorem oracle records in a verification ledger and continuous-integration builds.

Original depositai.vixra first-submission history · source omits timezone
Historical mirrorv1Author-authorized ARR bulk release · SHA-256 recorded
Mirrored PDF downloadsNot measuredBulk historical-release assets are not yet included in ARR's per-record download snapshot.
Page viewsNot measuredPage views are not measured until ARR connects a privacy-reviewed, no-cookie analytics source.
Definitions and rankings →
Not yet rated

Verification record

Frontier-model screening
Not assessed
Source integrity
Pass
Bibliographic integrity
Not assessed
Reproducibility
Not assessed
Lean 4
Not assessed

Recorded under ARR-HISTORICAL-IMPORT-1.0. ARR verification and screening are not peer review.

Version history

The ARR identifier remains stable. Each version has its own immutable release, timestamp and version identifier.

  • v1 · source snapshot available · viewing

Original ai.vixra version history

Dates below are the source submission timestamps. ai.vixra omits a timezone; ARR preserves the displayed values and uses the normalized offset only for deterministic ordering.

  • v1 · original ai.vixra file

AI assistance statement

Historical import from ai.vixra, an AI-assisted e-print archive. ARR has not normalized or independently verified the original manuscript's model-use disclosure; the author remains responsible for its contents.

Frontier-model screening

Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.

    Longitudinal frontier-model record

    Independent model assessments

    Read the scale and limits
    Not yet rated

    No eligible independent ARR-ASSESS-1.0 report is published for this exact version. Missing evidence is not scored as zero.

    No model reports are published for this version.

    A model assessment is not peer review or a correctness certificate. ARR preserves disagreement, exact-version provenance and later reassessments.

    Editorial disclosure

    Author-authorized historical import. ARR verified file retrieval and integrity only; it did not perform the current hostile frontier-model admission audit, peer review, novelty review, or correctness certification.