
NSF Org: |
DMS Division Of Mathematical Sciences |
Recipient: |
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Initial Amendment Date: | May 30, 2014 |
Latest Amendment Date: | May 30, 2014 |
Award Number: | 1407562 |
Award Instrument: | Standard Grant |
Program Manager: |
Tomek Bartoszynski
tbartosz@nsf.gov (703)292-4885 DMS Division Of Mathematical Sciences MPS Directorate for Mathematical and Physical Sciences |
Start Date: | July 1, 2014 |
End Date: | June 30, 2017 (Estimated) |
Total Intended Award Amount: | $145,117.00 |
Total Awarded Amount to Date: | $145,117.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
77 MASSACHUSETTS AVE CAMBRIDGE MA US 02139-4301 (617)253-1000 |
Sponsor Congressional District: |
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Primary Place of Performance: |
77 MASSACHUSETTS AVE Cambridge MA US 02139-4307 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | PROBABILITY |
Primary Program Source: |
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Program Reference Code(s): | |
Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.049 |
ABSTRACT
The goal of this research is to achieve a better understanding of the limit behavior of a class of stochastic systems related to statistical mechanics, random matrix theory and representation theory. Examples of such systems include random stepped surfaces in three-dimensional space which, in particular, model melting crystals; square-ice model which is a mathematical two-dimensional approximation for a thin layer of ice; and interacting particle systems used for modeling (e.g., a one-lane highway, the growth of plankton in the ocean). Our aim is to extract macroscopic properties of very large systems starting from their microscopic definitions, with main accents on the appearance of the universal random fields and distributions.
There are two main distinctions of the systems we study. First is that we concentrate on and explore 2d structures which generalize many classical 1d probabilistic models such as eigenvalues of a random matrix. The two-dimensional extensions that we consider give new and often more natural interpretations of earlier one-dimensional results and also pave the way to prove new interesting asymptotic results about well-known one-dimensional models. Second, most models in this research enjoy a rich algebraic structure, which usually means that expectations of many observables can be computed in a concise manner. The techniques include usage of symmetric functions of representation-theoretic origin, eigenfunctions of difference operators, orthogonal polynomials, etc. This exact solvability provides tools for delicate asymptotic analysis and gives access to the properties of the universal objects appearing in the limit, such as Tracy-Widom distributions, the GUE-eigenvalues distribution, the GUE-corners process (its two-dimensional extension), and the Gaussian Free Field. The results obtained for the exactly solvable models are generally believed to extend to a large variety of similar stochastic systems.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The main results of the project belong to the area of 2d statistical mechanics and describe macroscopic fluctuations in very large stochastic systems. Examples of the systems are the six-vertex model (which models crystal lattices with hydrogen bonds, e.g. the ice H2O or the potassium dihydrogen phosphate KH2PO4), random stepped surfaces, random matrices(used, in particular, both in high-energy physics and in high-dimensional statistics).
The attached images show an example. One can see there a stepped surface arising from uniformly random lozenge tiling of a hexagon and the field of (centered) macroscopic fluctuations of its height function.
All these systems exhibit a Law of Large Numbers, which means that on the macroscopic scalewith overwhelming probability they become non-random and are described by smooth limit shapes.The major part of the project concentrated on studying the fluctuations around such limit shapes.Our study revealed the universality phenomena here, i.e. that the high-level nature of the fluctuations does not depend on details in the system specification. Along these lines we found Gaussian fluctuations with covariance described by a universal object - 2d Gaussian Free Field in wide classes of models: eigenvalues of corners of random matrices, random lozenge and domino tilings, discrete log-gases. Unexpectedly, we also found that in a specific instance of the six-vertex model called the stochastic six-vertex model, the fluctuations are instead governed by the Tracy-Widom distribution -another universal object, which often arises in the study of the interacting particle systems.This change of behavior from one universality class to another is an important and intriguingquestion for the future research.
On the methods side, the results are based on many new exact formulas that we discovered in the analysis of these models. For tilings and random matrix objects, we introduced a new method relying on the applications of differential operators to partition functions withinhomogneities. This can be treated as the development of the Fourier transform for the unitary groups as their rank goes to infinity. For the related framework of discrete log-gases we introduced a new powerful tool of discrete Schwinger-Dyson equations, originating in the work of Nekrasov in theoretical physics. Finally, the developments for the six-vertex model combined the classical Bethe ansatz method with summation identities recently discovered in the study of interacting particle systems. The ongoing work combines all these methods together in order to reach the asymptotic of even more extensive classes of models.
Besides purely scientific developments, the PI organized a conference "Non-equilibrium dynamics of stochastic and quantum integrablesystems" (Kavli Institute, Santa Barbara, USA, Spring 2016), invited session "Integrable Probability" at Stochastic Processes and Applications-2017 conference (Moscow,Russia, Summer 2017), and numerous research seminars to stimulate collaborations, promote and disseminate the results in the wide research area of the project.
Last Modified: 09/02/2017
Modified by: Vadim Gorin
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