Langevin dynamic for the 2d yang-mills measure

HIGHLIGHTS

SUMMARY

................................ Stochastic heat equation......................... Regularity structures for vector-valued noises.............. Solution theory of the SYM equation.................. Gauge covariance............................. @@

ACRONYMS

LAY DEFINITIONS

• Markov process: In probability theory and statistics, a Markov chain or Markoff chain, named after the Russian mathematician Andrey Markov, is a stochastic process that satisfies the Markov property. Loosely speaking, a process satisfies the Markov property if one can make predictions for the future of the process based solely on its present state just as well as one could knowing the process`s full history
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