Dear colleagues and friends,
there is some mistakes in the schedule in my previous announcement. The correct dates are 13/5 (Tue) 14:15-15:45 14/5 (Wed) 16:15-17:45 15/5 (Thu) 10:45-12:15 16/5 (Fri) 10:45-12:15 I apologise for the confusion caused.
Best regards, Lu Xu
Begin forwarded message:
From: Lu Xu via Random random@lists.dm.unipi.it Subject: [Random] Short course by M. Gubinelli Date: 29 April 2025 at 10:04:39 CEST To: "random@mail.dm.unipi.it" random@mail.dm.unipi.it Reply-To: Lu Xu xu.probability@outlook.com
Dear colleagues and friends,
we are glad to announce the following short course in GSSI during May 12-16:
———————————————— The stochastic quantisation of the fractional $\Phi^4$ model in the full subcritical domain
Lecturer: Prof. Massimiliano Gubinelli (University of Oxford)
Venue: Main Lecture Hall, Gran Sasso Science Institute (Viale F. Crispi 7, L’Aquila)
13/5 (Mon) 14:15-15:45 14/5 (Tue) 16:15-17:45 15/5 (Wed) 10:45-12:15 16/5 (Thu) 10:45-12:15
I will present a complete proof of stochastic quantisation of a family of subcritical (i.e. superrenormalizable) scalar Euclidean QFT via the flow equation method of Duch. Euclidean QFT are measures on distributional fields which should be considered natural generalisation of Markov processes in higher dimension and which play a fundamental role in the rigorous construction of relativistic quantum fields. Stochastic quantisation is a method to realise such measures as pushforward of Gaussian measures via maps obtained by solving PDEs with random sources. In the last 10 years our understanding of the stochastic quantisation method has progressed greatly giving us new methods to attach the problems of EQFTs. The aim of the minicourse is to present, in most of the details, the various aspects of the construction of a particular class of EQFTs showcasing how probabilistic arguments merge with PDE estimates and renormalization group ideas. If the time permits I will also discuss the many open problems and fundamental issues in our understanding of these and more challenging models. ————————————————
Registration is free through the website: https://indico.gssi.it/event/745/.
Other courses hosted by the trimester can be found in https://trimester2025.math.gssi.it/all_courses/.
We would be grateful if you could circulate the announcement among potentially interested students and researchers. For any information do not hesitate to contact us (patterns@gssi.itmailto:patterns@gssi.it).
With our best wishes,
Lu Xu Assistant Professor (RTDb) Gran Sasso Science Institute _______________________________________________ Random mailing list -- random@lists.dm.unipi.it To unsubscribe send an email to random-leave@lists.dm.unipi.it