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SCIENTIFIC ACTIVITIES - Fields Institute - University of Toronto

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Directed Polymers and Random Growth<br />

JEREMY QUASTEL IS PROFESSOR AND ASSOCIATE CHAIR OF<br />

mathematics at the <strong>University</strong> <strong>of</strong> <strong>Toronto</strong>. He was one <strong>of</strong> the delegates<br />

representing Canada at the International Congress for Mathematicians in<br />

Hyderabad this year (where he presented his work in Section 13: Probability<br />

and Statistics) and is co-organizer <strong>of</strong> the Thematic Program on Dynamics and<br />

Transport in Disordered Systems starting January 2011 at the <strong>Fields</strong> <strong>Institute</strong>.<br />

His talk at the <strong>Fields</strong> <strong>Institute</strong>’s 2010 Annual General Meeting was<br />

titled Directed polymers and random growth, a topic <strong>of</strong> probability theory and<br />

stochastic differential equations. He spoke <strong>of</strong> the relationship between the<br />

process <strong>of</strong> ballistic aggregation and discrete and continuum directed random<br />

polymer models.<br />

What does a random surface look like after a long period <strong>of</strong> time?<br />

Ballistic aggregation is meant to answer this question, a discrete model in<br />

one-dimension for blocks falling and building up on the 1D integer lattice.<br />

The relevance <strong>of</strong> this theory to science is that understanding this process will<br />

allow engineers to develop new tools to build materials by spraying atoms onto<br />

a surface. Understanding <strong>of</strong> this and analogous models are one <strong>of</strong> the central<br />

themes Quastel would like to see develop in his thematic program. He reports<br />

that there have been a number <strong>of</strong> significant advances in the study <strong>of</strong> these<br />

models and will certainly add excitement to the activity at <strong>Fields</strong> next year.<br />

His lecture was split into two parts, background and recent results. The<br />

directed random polymer models about which Quastel spoke were in the 2D<br />

randomly weighted integer lattice. Each point in the lattice is represented by<br />

W with an imposed random walk X that goes through the lattice collecting<br />

i , j<br />

i<br />

the random values W and sums up the values. Taking the expectation<br />

i , j<br />

(summing all the possible paths and taking the logarithm <strong>of</strong> the sum) gives<br />

us the free energy on the lattice. Physicists predict that the free energies <strong>of</strong><br />

the discrete random polymer model will give valuable information about the<br />

object.<br />

Quastel spoke about some reformulation <strong>of</strong> the GUE Tracy-Widom<br />

models from random matrix theory in terms <strong>of</strong> the rescaled distribution <strong>of</strong> the<br />

principle eigenvalue <strong>of</strong> a randomly chosen matrix from the GUE-TW. To his<br />

surprise, these results are useful for the continuum directed polymer models.<br />

In the context <strong>of</strong> the discrete model, Quastel mentioned his interest in<br />

the behaviour emering from the strong coupling between the random walks<br />

and the random lattice. The KPZ (Kardar-Parisi-Zhang) model governs<br />

anything that experiences growth governed by randomness at different<br />

sites, with added non-linearity. These models are extremely general. Quastel<br />

mentioned his interest in having the theoretical tools to make robust<br />

predictions over the KPZ universality class. In models studied in the past, as<br />

the dimension increases, randomness behaviour undergoes a phase transition<br />

1<br />

3<br />

where the n and Tracy-Widom distributions are replaced with normal<br />

Gaussian behaviour and random walks.<br />

The results obtained in work done with Gideon Amir and Ivan Corwin<br />

are contained in a recent paper concerning the continuum directed random<br />

polymer. The paper contains all the necessary formulas to construct a<br />

distribution for the model. Quastel stated some results about solutions that<br />

locally look like Brownian Motion, which start with smooth initial conditions.<br />

Motivation for this problem comes from results in the field <strong>of</strong> liquid crystal<br />

turbulence in which experiments were carried out in December 2009.<br />

‘Jeremy Quastel’ continued on page 20<br />

LECTURES<br />

FIELDS INSTITUTE Research in Mathematical Sciences | FIELDSNOTES 13

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