12th Cornell Probability Summer School

Planning for the 2022 Cornell Probability Summer School has begun, which will be held July 25, 2022 - August 5, 2022!  Information on the 2022 CPSS will be updated and posted below as plans evolve.

 
 

CPSS 2022

 

July 25, 2022 - August 5, 2022

 

WELCOME TO CPSS 2022! Organized by the Dynamics, Probability and PDE's in Pure and Applied Research Training Group.

 

Keep up-to-date on Cornell Covid information and information for visitors by going to Cornell Covid Information and Cornell Covid Visitor Information.

 

CPSS REGISTRATION:

 

 

Please go to CPSS Registration to register.  During registration you can indicate if you are interested in on-campus housing.  On-campus housing is a separate registration managed through Cornell Conference Services.  If you answer yes to on-campus housing when you register for the CPSS, you will be linked to CCS on-campus housing registration.  We ask that you please use the same e-mail address for both the CPSS and CCS housing registrations.

 

Deadline for funding requests is April 1, 2022

 

Funding notifications will be sent by April 12, 2022 - Update:  Notifications will be sent by early next week (week of May 2nd).  We apologize for the delay.

 

The registration deadline is June 26, 2022

 

ON-CAMPUS HOUSING

 

Lodging will be available on campus through Cornell Conference Services, which is a separate registration.  If you choose on-campus housing during CPSS registration you will be directed to the Cornell Conference Services housing registration site, which includes additional information.  Funding for housing and other expenses will be available for advanced graduate students and young researchers who are US citizens or US permanent residents. Eligible participants who would like to apply for support should do so.  The deadline will be announced when registration opens.  Please refer to the Conference Services housing registration site for information on parking and check-in when it comes available.

 

Please plan to arrive by Sunday, July 24th, 2022 after 2:00 p.m. Housing check in will be at the William Keeton House registration desk.  Early arrivals are not permitted without specific prior arrangements.  The William Keeton Service Center is open daily from 8:00 a.m. to 8:00 p.m.  Arrivals after 8:00 p.m. can call the number posted at all building entrances for on-call student staff.  Check out time is no later than 10:00 a.m. on August 6th unless otherwise arranged.

 

General campus parking Information:  https://www.cornell.edu/visit/parking/

 

Campus maps:  https://www.cornell.edu/about/maps/

 

SOCIAL EVENTS:

 

A Reception will be held in Malott 532 July 25th at 5:00 p.m.  No registration is required.

 

A Barbecue will be held at the Big Red Barn on July 28th at 6:00 p.m.  A registration link is included in the CPSS Registration.

TENTATIVE SCHEDULE - continue to check back for updates.
**CPSS registration check-in will begin Monday morning July 25th at 9:00 in 532 Malott Hall.  Late arrivals can check-in at the Math Department main office in 310 Malott Hall.


MAIN LECTURERS:

 

Will Perkins, University of Illinois, Chicago

Lecture title:  Phase Transitions and Counting

Abstract:  We will study physics spin models (Gibbs measures on graphs) like the Ising, Potts,  and hard-core models from two perspectives:  the statistical physics perspective of studying phase transitions on lattices and random graphs and algorithmic perspective of designing efficient algorithms for approximate counting and sampling from these models.  We will see how tools like abstract polymer models and the cluster expansion can be made algorithmic, and how algorithmic tools can be used to understand phase transitions.  One running example through the lectures will be in understanding the phase diagram and algorithmic aspects of the large-q Potts and random clusters models on random regular graphs.

 

Dr. Julian Sahasrabudhe, University of Cambridge

Lecture title:  Singularity Problems in Random Matrix Theory

Abstract:  Let A be a n by n random matrix with all entries iid and uniform in {-1,1}.  In this series of lectures we address the following fundamental question:  What is the probability that det(A) = 0?  Here we are thinking of n as large.  This seemingly basic problem is central in the area of random matrices and leads to much interesting and difficult mathematics.  In these lectures I will take a deep dive into some of the fascinating techniques in this area, focusing, in particular, on the breakthrough work of K. Tikhomirov.  

 

Yilin Wang, MIT

Lecture title:  Loewner Energy and Large Deviations of SLEs

Abstract:  The Loewner energy for Jordan curves first arises from the small-parameter large deviations of Schramm-Loewner evolution (SLE), a family of random fractal curves modeling interfaces in 2D statistical mechanics.  In a certain way, this energy measures the roundness of a Jordan curve, and is finite if and only if the curve is a Weil-0Petersson quasicircle.  The class of Weil-Petersson quasicircles has intriguingly more than 20 equivalent definitions arising in very different contexts, including Teichmueller theory, geometric function theory, hyperbolic geometry, spectral theory, and string theory, and has been studied since the eighties.  The myriad of perspectives on this class of curves is both luxurious and mysterious.

 

Organizers:

 

The scientific organizers are Laurent Saloff-CostePhil Sosoe, and Lionel Levine

 

If you have any questions or concerns or questions regarding accommodations or mobility please send an e-mail to cpss_math@cornell.edu.  You can also notify us of any concerns during your registration.

 

Scam notices and warnings:

We will never ask for credit card information over the phone or by e-mail, and all payments are processed by a secure link to Cornell Business Services.  If you have any questions regarding this please contact any of the organizers or the event conference coordinator.

 

Many conferences have been targeted by scammers who claim to be booking accommodation representatives, but in are seeking to obtain credit card or banking information fraudulently.

 

 

 

ACKNOWLEDGEMENTS

 
 

This meeting is partially supported by a grant from the National Science Foundation to the probability group at Cornell University.

 

Thanks also to the staff at the Cornell Department of  for handling much of the organization of the meeting.

 

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