Probability Seminar: Difference between revisions
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== October 26, 2023: Yuchen Liao (UW - Madison) == | == October 26, 2023: Yuchen Liao (UW - Madison) == | ||
''' | '''Large deviations for the deformed Polynuclear growth''' | ||
The polynuclear growth model (PNG) is a prototypical example of random interface growth among the Kardar-Parisi-Zhang universality class. In this talk I will discuss a q-deformation of the PNG model recently introduced by Aggarwal-Borodin-Wheeler. We are mainly interested in the large time large deviations of the one-point distribution under narrow-wedge (droplet) initial data, i.e., the rare events that the height function at time t being much larger (upper tail) or much smaller (lower tail) than its expected value. Large deviation principles with speed t and t^2 are established for the upper and lower tails, respectively. The upper tail rate function is computed explicitly and is independent of q. The lower tail rate function is described through a variational problem and shows nontrivial q-dependence. Based on joint work with Matteo Mucciconi and Sayan Das. | |||
== November 2, 2023: [http://homepages.math.uic.edu/~couyang/ Cheng Ouyang] (U. Illinois Chicago) == | == November 2, 2023: [http://homepages.math.uic.edu/~couyang/ Cheng Ouyang] (U. Illinois Chicago) == | ||
Revision as of 20:57, 23 October 2023
Fall 2023
Thursdays at 2:30 PM either in 901 Van Vleck Hall or on Zoom
We usually end for questions at 3:20 PM.
September 14, 2023: Matthew Junge (CUNY)
The frog model on trees
The frog model describes random activation and spread. Think combustion or an epidemic. I have studied these dynamics on d-ary trees for ten years. I will discuss our progress and what remains to be done.
September 21, 2023: Yier Lin (U. Chicago)
Large Deviations of the KPZ Equation and Most Probable Shapes
The KPZ equation is a stochastic PDE that plays a central role in a class of random growth phenomena. In this talk, we will explore the Freidlin-Wentzell LDP for the KPZ equation through the lens of the variational principle. Additionally, we will explain how to extract various limits of the most probable shape of the KPZ equation using the variational formula. We will also discuss an alternative approach for studying these quantities using the method of moments. This talk is based in part on joint works with Pierre Yves Gaudreau Lamarre and Li-Cheng Tsai.
September 28, 2023: Tommaso Rosati (U. Warwick)
The Allen-Cahn equation with weakly critical initial datum
We study the 2D Allen-Cahn with white noise initial datum. In a weak coupling regime, where the nonlinearity is damped in relation to the smoothing of the initial condition, we prove Gaussian fluctuations. The effective variance that appears can be described as the solution to an ODE. Our proof builds on a Wild expansion of the solution, which is controlled through precise combinatorial estimates. Joint work with Simon Gabriel and Nikolaos Zygouras.
October 5, 2023:
Abstract, title: TBA
October 12, 2023: No Seminar (Midwest Probability Colloquium)
October 19, 2023: Paul Duncan (Hebrew University of Jerusalem)
Deconfinement in Ising Lattice Gauge Theory
A lattice gauge theory is a random assignment of spins to edges of a lattice that offers a more tractable model in which to study path integrals that appear in particle physics. We demonstrate the existence of a phase transition corresponding to deconfinement in a simplified model called Ising lattice gauge theory on the cubical lattice Z^3. Our methods involve studying the topology of a random 2-dimensional cubical complex on Z^3 called random-cluster plaquette percolation, which in turn can be reduced to the study of a random dual graph. No prior background in topology or physics will be assumed. This is based on joint work with Benjamin Schweinhart.
October 26, 2023: Yuchen Liao (UW - Madison)
Large deviations for the deformed Polynuclear growth
The polynuclear growth model (PNG) is a prototypical example of random interface growth among the Kardar-Parisi-Zhang universality class. In this talk I will discuss a q-deformation of the PNG model recently introduced by Aggarwal-Borodin-Wheeler. We are mainly interested in the large time large deviations of the one-point distribution under narrow-wedge (droplet) initial data, i.e., the rare events that the height function at time t being much larger (upper tail) or much smaller (lower tail) than its expected value. Large deviation principles with speed t and t^2 are established for the upper and lower tails, respectively. The upper tail rate function is computed explicitly and is independent of q. The lower tail rate function is described through a variational problem and shows nontrivial q-dependence. Based on joint work with Matteo Mucciconi and Sayan Das.
November 2, 2023: Cheng Ouyang (U. Illinois Chicago)
Abstract, title: TBA
November 9, 2023: Scott Smith (Chinese Academy of Sciences)
Abstract, title: TBA
November 16, 2023: Matthew Nicoletti (MIT)
Abstract, title: TBA
November 23, 2023: No Seminar
No seminar. Thanksgiving.
November 30, 2023: Youngtak Sohn (MIT)
Abstract, title: TBA
December 7, 2023: Minjae Park (U. Chicago)
Abstract, title: TBA