PIRSA:22120043

Bootstrapping the lattice Yang-Mills theory

APA

Zheng, Z. (2022). Bootstrapping the lattice Yang-Mills theory. Perimeter Institute. https://pirsa.org/22120043

MLA

Zheng, Zechuan. Bootstrapping the lattice Yang-Mills theory. Perimeter Institute, Dec. 09, 2022, https://pirsa.org/22120043

BibTex

          @misc{ pirsa_22120043,
            doi = {10.48660/22120043},
            url = {https://pirsa.org/22120043},
            author = {Zheng, Zechuan},
            keywords = {Quantum Fields and Strings},
            language = {en},
            title = {Bootstrapping the lattice Yang-Mills theory},
            publisher = {Perimeter Institute},
            year = {2022},
            month = {dec},
            note = {PIRSA:22120043 see, \url{https://pirsa.org}}
          }
          

Zechuan Zheng École Normale Supérieure Paris-Saclay

Abstract

I will speak about my recent work with Vladimir Kazakov where we study the SU(Nc) lattice Yang-Mills theory in the planar limit, at dimensions D=2,3,4, via the numerical bootstrap method. It combines the Makeenko-Migdal loop equations, with the cut-off L on the maximal length of loops, and the positivity conditions on certain correlation matrices. Our algorithm is inspired by the pioneering paper of P. Anderson and M. Kruczenski but it is significantly more efficient, as it takes into account the symmetries of the lattice theory and uses the relaxation procedure in the line with our previous work on matrix bootstrap. We thus obtain the rigorous upper and lower bounds on the plaquette average at various couplings and dimensions. The results are quickly improving with the increase of cutoff L. For D=4 and L=16, the lower bound data appear to be close to the Monte Carlo data in the strong coupling phase and the upper bound data in the weak coupling phase reproduce well the 3-loop perturbation theory. We attempt to extract the information about the gluon condensate from this data. Our results suggest that this bootstrap approach can provide a tangible alternative to, so far uncontested, the Monte Carlo approach.

Zoom link:  https://pitp.zoom.us/j/96101268796?pwd=QkdJbm9GUzQ2YnIrM1NlcUt2Z3Nvdz09