Gaussian and Mean Field Approximations for Reduced Yang-Mills Integrals
Satsuki Oda, Fumihiko Sugino

TL;DR
This paper applies Gaussian and improved mean field approximations to bosonic reduced Yang-Mills integrals, successfully calculating free energy and loop expectations, matching known results and providing new analytic expressions, especially for large loop lengths.
Contribution
It introduces an improved mean field approximation for reduced Yang-Mills integrals, yielding analytic expressions and extending results to large loop lengths where previous data was scarce.
Findings
Accurate calculation of free energy and operator expectations.
Good scaling behavior under large N limit for small loops.
Novel analytic expressions for large loop lengths.
Abstract
In this paper, we consider bosonic reduced Yang-Mills integrals by using some approximation schemes, which are a kind of mean field approximation called Gaussian approximation and its improved version. We calculate the free energy and the expectation values of various operators including Polyakov loop and Wilson loop. Our results nicely match to the exact and the numerical results obtained before. Quite good scaling behaviors of the Polyakov loop and of the Wilson loop can be seen under the 't Hooft like large limit for the case of the loop length smaller. Then, simple analytic expressions for the loops are obtained. Furthermore, we compute the Polyakov loop and the Wilson loop for the case of the loop length sufficiently large, where with respect to the Polyakov loop there seems to be no known results in appropriate literatures even in numerical calculations. The result of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
