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$\mathrm{U}(N)$ lattice Yang-Mills in the 't Hooft regime

Ron Nissim

TL;DR

This work establishes a mass gap, a unique infinite-volume limit, and a large-$N$ limit for $\,\mathrm{U}(N)\,$ lattice Yang–Mills in the 't Hooft regime by overcoming the failure of the Bakry–Émery approach for $\,\mathrm{U}(N)\$ through a random-environment decomposition into $\,\mathrm{U}(1)\times\mathrm{SU}(N)\$. It combines cluster expansions with Langevin-dynamics arguments to prove a mass gap and decorrelation bounds, and uses a marginal SU(N) analysis to derive a mass gap for the marginal field, enabling a robust infinite-volume limit. The Large-$N$ analysis then shows Wilson loops become deterministic and factorize in probability, extending the Wilson-loop factorization property to $\,\mathrm{U}(N)\$. The results provide a rigorous foundation for the strong-coupling, 't Hooft scaling regime of $\ ext{U}(N)$ lattice YM and highlight a productive synthesis of cluster expansions and stochastic dynamics in non-Abelian gauge theories. Overall, the paper broadens the scope of rigorous lattice YM results to include $ ext{U}(N)$ and strengthens connections to large-$N$ and string-theoretic viewpoints.

Abstract

We establish a mass gap, prove the existence of a unique infinite volume limit, and give a new proof of the large $N$ limit for $\mathrm{U}(N)$ lattice Yang-Mills theory in the 't Hooft regime. These results were previously obtained for $\mathrm{SU}(N)$ and $\mathrm{SO}(N)$ lattice Yang-Mills theories as applications of the mixing of the associated Langevin dynamics, which is verified via the Bakry-Émery criterion [SZZ23]. For $\mathrm{U}(N)$, however, this approach fails because its Ricci curvature is not uniformly positive, and as a result the Bakry-Émery condition cannot be easily verified. To overcome this obstacle, we recast the $\mathrm{U}(N)$ theory as a random-environment $\mathrm{SU}(N)$ model, where the randomness arises from a $\mathrm{U}(1)$ field, and combine cluster-expansion and Langevin-dynamics techniques to analyze the resulting $\mathrm{U}(1)\times\mathrm{SU}(N)$ model.

$\mathrm{U}(N)$ lattice Yang-Mills in the 't Hooft regime

TL;DR

This work establishes a mass gap, a unique infinite-volume limit, and a large- limit for lattice Yang–Mills in the 't Hooft regime by overcoming the failure of the Bakry–Émery approach for through a random-environment decomposition into . It combines cluster expansions with Langevin-dynamics arguments to prove a mass gap and decorrelation bounds, and uses a marginal SU(N) analysis to derive a mass gap for the marginal field, enabling a robust infinite-volume limit. The Large- analysis then shows Wilson loops become deterministic and factorize in probability, extending the Wilson-loop factorization property to . The results provide a rigorous foundation for the strong-coupling, 't Hooft scaling regime of lattice YM and highlight a productive synthesis of cluster expansions and stochastic dynamics in non-Abelian gauge theories. Overall, the paper broadens the scope of rigorous lattice YM results to include and strengthens connections to large- and string-theoretic viewpoints.

Abstract

We establish a mass gap, prove the existence of a unique infinite volume limit, and give a new proof of the large limit for lattice Yang-Mills theory in the 't Hooft regime. These results were previously obtained for and lattice Yang-Mills theories as applications of the mixing of the associated Langevin dynamics, which is verified via the Bakry-Émery criterion [SZZ23]. For , however, this approach fails because its Ricci curvature is not uniformly positive, and as a result the Bakry-Émery condition cannot be easily verified. To overcome this obstacle, we recast the theory as a random-environment model, where the randomness arises from a field, and combine cluster-expansion and Langevin-dynamics techniques to analyze the resulting model.
Paper Structure (15 sections, 24 theorems, 142 equations)

This paper contains 15 sections, 24 theorems, 142 equations.

Key Result

Theorem 1.1

Let $d \geq 2$, $N \geq 2$. Then for some fixed $\tilde{\beta}=\tilde{\beta}(d)$, and all $\beta < \tilde{\beta}$, there exists a probability measure $\mu_{\mathrm{U}(N),\beta}$ on $\mathrm{U}(N)^{E_{\Lambda_{\infty}}^+}$ (with $\Lambda_{\infty}=\mathbb{Z}^d$) such that weakly as $L \to \infty$. Additionally, for any smooth local observables $f, g$ with $\Lambda_f, \Lambda_g \subseteq \Lambda$ (s

Theorems & Definitions (63)

  • Theorem 1.1: Mass gap and infinite volume limit
  • Remark 1.2
  • Remark 1.3
  • Remark 1.4
  • Theorem 1.5: Large $N$ Limit for $\mathrm{U}(N)$
  • Remark 1.6
  • Definition 2.1: Lattice gauge configuration
  • Remark 2.2
  • Definition 2.3: Plaquette variable
  • Remark 2.4
  • ...and 53 more