COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > The 2-dimensional O(N) sigma model: a resurgence laboratory

## The 2-dimensional O(N) sigma model: a resurgence laboratoryAdd to your list(s) Download to your calendar using vCal - Janos Balog (WIGNER Research Centre for Physics)
- Tuesday 13 September 2022, 13:30-14:30
- No Room Required.
If you have a question about this talk, please contact nobody. AR2W01 - Physical resurgence: On quantum, gauge, and stringy We study the solution of the TBA integral equation describing the energy density of finite density states in the 1+1 dimensional O(N) non-linear sigma model by the Wiener-Hopf method. Using Volin’s algorithm we determine the asymptotic series expansion of the energy density in powers of a non-perturbative running coupling to very large orders. We calculate the first 2000 terms of the series for the N=4 case, which allows us to determine the first few alien derivatives of the perturbative series. We show that (at least in this case) resurgence theory works in its strongest version: the physical resummation of the perturbative series is given by the median resummation and this agrees with the result of the original exact TBA equation. For the O(3) case we calculate the 1- and 2-instanton contributions perturbatively to very large orders. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- No Room Required
- School of Physical Sciences
- bld31
Note that ex-directory lists are not shown. |
## Other listsMichael Picheny (NUY) Speech Recognition: What's Left? Cambridge University Railway Club General talks## Other talksGateway CCIMI The structure of predictability in an intermediate-complexity atmospheric model: covariant Lyapunov vectors and finite-time Lyapunov exponents A Crossroad between Statistical Mechanics, PDE-Theory, Neural Networks and Machine Learning Comparing factor models with conditioning information Coffee Break Batteries, Dynamos, and All That |