Jeremy Quastel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Jeremy Quastel has a total of 38 co-authors. Here are the top co-authors by number of shared publications:
- Daniel Remenik
Universidad de Chile, Santiago, Chile
22 shared publications - Tadahiro Oh
Beijing Institute of Technology
5 shared publications - Alejandro F. Ramirez
Pontificia Universidad Católica de Chile
4 shared publications - Benedek Valko
Department of Mathematics University of Toronto M5S 2E4 ON Canada
4 shared publications - Ivan Corwin
Courant Institute, New York, USA
3 shared publications - Mihai Nica
University of Toronto
3 shared publications
Latest Publications
- 2 October 2025
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society
- Vol. 379 (2) , 1435-1452
Integration by parts and invariant measure for KPZ
Using Stein’s method and a Gaussian integration by parts, we provide a direct proof of the known fact that drifted Brownian motions are invariant measures (modulo height) for the KPZ equation.
- 2 October 2025
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society
- Vol. 379 (2) , 1435-1452
Integration by parts and invariant measure for KPZ
Using Stein’s method and a Gaussian integration by parts, we provide a direct proof of the known fact that drifted Brownian motions are invariant measures (modulo height) for the KPZ equation.
- Open Access
KPZ fluctuations in the planar stochastic heat equation
We use a version of the Skorokhod integral to give a simple and rigorous formulation of the Wick-ordered (stochastic) heat equation with planar white noise, representing the free energy of an undirected random polymer. The solution for all times is expressed as the L1 limit of a martingale given by the Feyman-Kac formula and defines a randomized shift, or Gaussian multiplicative chaos. The fluctuations far from the centre are shown to be given by the one-dimensional KPZ equation.
Open AccessKPZ fluctuations in the planar stochastic heat equation
We use a version of the Skorokhod integral to give a simple and rigorous formulation of the Wick-ordered (stochastic) heat equation with planar white noise, representing the free energy of an undirected random polymer. The solution for all times is expressed as the L1 limit of a martingale given by the Feyman-Kac formula and defines a randomized shift, or Gaussian multiplicative chaos. The fluctuations far from the centre are shown to be given by the one-dimensional KPZ equation.
- Open Access
- 21 February 2024
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society, Series B
- Vol. 11 (12) , 420-460
Global dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain’s invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain’s argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance 1 + t 1+t is an evolution system of measures for SKdV with the white noise initial data.
- 21 February 2024
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society, Series B
- Vol. 11 (12) , 420-460
Open AccessGlobal dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain’s invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain’s argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance 1 + t 1+t is an evolution system of measures for SKdV with the white noise initial data.
- Open Access
- 1 January 2024
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society, Series B
- Vol. 11 (12) , 420-460
Global dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain’s invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain’s argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance $1+t$ is an evolution system of measures for SKdV with the white noise initial data.- 1 January 2024
- Published by American Mathematical Society (AMS) in Transactions of the American Mathematical Society, Series B
- Vol. 11 (12) , 420-460
Open AccessGlobal dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain’s invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain’s argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance $1+t$ is an evolution system of measures for SKdV with the white noise initial data. - Open Access
- 1 January 2024
- Published by Institute of Mathematical Statistics in Electronic Journal of Probability
- Vol. 29 (none) , 1-23
Moderate deviations for lattice gases with mixing conditions
We study moderate deviations for additive functionals of stochastic lattice gases (Kawasaki dynamics for the Ising model). Under a mixing condition, we prove that the additive functional of any local functions satisfies a moderate deviation principle. The main tool is the logarithmic Sobolev inequality obtained by Yau.
- 1 January 2024
- Published by Institute of Mathematical Statistics in Electronic Journal of Probability
- Vol. 29 (none) , 1-23
Open AccessModerate deviations for lattice gases with mixing conditions
We study moderate deviations for additive functionals of stochastic lattice gases (Kawasaki dynamics for the Ising model). Under a mixing condition, we prove that the additive functional of any local functions satisfies a moderate deviation principle. The main tool is the logarithmic Sobolev inequality obtained by Yau.
- Open Access
Global dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain's invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain's argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance $1+t$ is an evolution system of measures for SKdV with the white noise initial data.Open AccessGlobal dynamics for the stochastic KdV equation with white noise as initial data
We study the stochastic Korteweg-de Vries equation (SKdV) with an additive space-time white noise forcing, posed on the one-dimensional torus. In particular, we construct global-in-time solutions to SKdV with spatial white noise initial data. Due to the lack of an invariant measure, Bourgain's invariant measure argument is not applicable to this problem. In order to overcome this difficulty, we implement a variant of Bourgain's argument in the context of an evolution system of measures and construct global-in-time dynamics. Moreover, we show that the white noise measure with variance $1+t$ is an evolution system of measures for SKdV with the white noise initial data. - Top Cited PapersOpen Access
- 21 April 2022
- Published by Cambridge University Press (CUP) in Forum of Mathematics, Pi
- Vol. 10
KP governs random growth off a 1-dimensional substrate
The logarithmic derivative of the marginal distributions of randomly fluctuating interfaces in one dimension on a large scale evolve according to the Kadomtsev–Petviashvili (KP) equation. This is derived algebraically from a Fredholm determinant obtained in [MQR17] for the Kardar–Parisi–Zhang (KPZ) fixed point as the limit of the transition probabilities of TASEP, a special solvable model in the KPZ universality class. The Tracy–Widom distributions appear as special self-similar solutions of the KP and Korteweg–de Vries equations. In addition, it is noted that several known exact solutions of the KPZ equation also solve the KP equation.
- 21 April 2022
- Published by Cambridge University Press (CUP) in Forum of Mathematics, Pi
- Vol. 10
Top Cited PapersOpen AccessKP governs random growth off a 1-dimensional substrate
The logarithmic derivative of the marginal distributions of randomly fluctuating interfaces in one dimension on a large scale evolve according to the Kadomtsev–Petviashvili (KP) equation. This is derived algebraically from a Fredholm determinant obtained in [MQR17] for the Kardar–Parisi–Zhang (KPZ) fixed point as the limit of the transition probabilities of TASEP, a special solvable model in the KPZ universality class. The Tracy–Widom distributions appear as special self-similar solutions of the KP and Korteweg–de Vries equations. In addition, it is noted that several known exact solutions of the KPZ equation also solve the KP equation.
- Top Cited Papers
- 8 March 2022
- Published by American Mathematical Society (AMS) in Journal of the American Mathematical Society
- Vol. 36 (1) , 251-289
Convergence of exclusion processes and the KPZ equation to the KPZ fixed point
We show that under the 1:2:3 scaling, critically probing large space and time, the height function of finite range asymmetric exclusion processes and the Kardar-Parisi-Zhang (KPZ) equation converge to the KPZ fixed point, constructed earlier as a limit of the totally asymmetric simple exclusion process through exact formulas. Consequently, based on recent results of Wu [ Tightness and local fluctuation estimates for the KPZ line ensemble , 2021], Dimitrov and Matetski [Ann. Probab. 49 (2021), pp. 2477–2529], the KPZ line ensemble converges to the Airy line ensemble. For the KPZ equation we are able to start from a continuous function plus a finite collection of narrow wedges. For nearest neighbour exclusions, we can take (discretizations) of continuous functions with | h ( x ) | ≤ C ( 1 + | x | ) |h(x)|\le C(1+\sqrt {|x|}) for some C > 0 C>0 , or one narrow wedge. For non-nearest neighbour exclusions, we are restricted at the present time to a class of (random) initial data, dense in continuous functions in the topology of uniform convergence on compacts. The method is by comparison of the transition probabilities of finite range exclusion processes and the totally asymmetric simple exclusion processes using energy estimates.
- 8 March 2022
- Published by American Mathematical Society (AMS) in Journal of the American Mathematical Society
- Vol. 36 (1) , 251-289
Top Cited PapersConvergence of exclusion processes and the KPZ equation to the KPZ fixed point
We show that under the 1:2:3 scaling, critically probing large space and time, the height function of finite range asymmetric exclusion processes and the Kardar-Parisi-Zhang (KPZ) equation converge to the KPZ fixed point, constructed earlier as a limit of the totally asymmetric simple exclusion process through exact formulas. Consequently, based on recent results of Wu [ Tightness and local fluctuation estimates for the KPZ line ensemble , 2021], Dimitrov and Matetski [Ann. Probab. 49 (2021), pp. 2477–2529], the KPZ line ensemble converges to the Airy line ensemble. For the KPZ equation we are able to start from a continuous function plus a finite collection of narrow wedges. For nearest neighbour exclusions, we can take (discretizations) of continuous functions with | h ( x ) | ≤ C ( 1 + | x | ) |h(x)|\le C(1+\sqrt {|x|}) for some C > 0 C>0 , or one narrow wedge. For non-nearest neighbour exclusions, we are restricted at the present time to a class of (random) initial data, dense in continuous functions in the topology of uniform convergence on compacts. The method is by comparison of the transition probabilities of finite range exclusion processes and the totally asymmetric simple exclusion processes using energy estimates.
- Open Access
Convergence of exclusion processes and KPZ equation to the KPZ fixed point
We show that under the 1:2:3 scaling, critically probing large space and time, the height function of finite range asymmetric exclusion processes and the KPZ equation converge to the KPZ fixed point, constructed earlier as a limit of the totally asymmetric simple exclusion process through exact formulas. Consequently, based on recent results of \cite{wu},\cite{DM20}, the KPZ line ensemble converges to the Airy line ensemble. For the KPZ equation we are able to start from a continuous function plus a finite collection of narrow wedges. For nearest neighbour exclusions, we can take (discretizations) of continuous functions with $|h(x)|\le C(1+\sqrt{|x|})$ for some $C>0$, or one narrow wedge. For non-nearest neighbour exclusions, we are restricted at the present time to a class of (random) initial data, dense in continuous functions in the topology of uniform convergence on compacts. The method is by comparison of the transition probabilities of finite range exclusion processes and the totally asymmetric simple exclusion processes using energy estimates. Just before posting the first version of this article, we learned that, \emph{independently and at the same time and place}, B\'alint Vir\'ag found a completely different proof of the convergence of the KPZ equation to the KPZ fixed point. The methods invite extensions in different directions and it will be very interesting to see how this plays out.Open AccessConvergence of exclusion processes and KPZ equation to the KPZ fixed point
We show that under the 1:2:3 scaling, critically probing large space and time, the height function of finite range asymmetric exclusion processes and the KPZ equation converge to the KPZ fixed point, constructed earlier as a limit of the totally asymmetric simple exclusion process through exact formulas. Consequently, based on recent results of \cite{wu},\cite{DM20}, the KPZ line ensemble converges to the Airy line ensemble. For the KPZ equation we are able to start from a continuous function plus a finite collection of narrow wedges. For nearest neighbour exclusions, we can take (discretizations) of continuous functions with $|h(x)|\le C(1+\sqrt{|x|})$ for some $C>0$, or one narrow wedge. For non-nearest neighbour exclusions, we are restricted at the present time to a class of (random) initial data, dense in continuous functions in the topology of uniform convergence on compacts. The method is by comparison of the transition probabilities of finite range exclusion processes and the totally asymmetric simple exclusion processes using energy estimates. Just before posting the first version of this article, we learned that, \emph{independently and at the same time and place}, B\'alint Vir\'ag found a completely different proof of the convergence of the KPZ equation to the KPZ fixed point. The methods invite extensions in different directions and it will be very interesting to see how this plays out. - Open Access
One-sided reflected Brownian motions and the KPZ fixed point
We consider the system of one-sided reflected Brownian motions which is in variational duality with Brownian last passage percolation. We show that it has integrable transition probabilities, expressed in terms of Hermite polynomials and hitting times of exponential random walks, and that it converges in the 1:2:3 scaling limit to the KPZ fixed point, the scaling invariant Markov process defined in [MQR17] and believed to govern the long time large scale fluctuations for all models in the KPZ universality class. Brownian last passage percolation was shown recently in [DOV18] to converge to the Airy sheet (or directed landscape), defined there as a strong limit of a functional of the Airy line ensemble. This establishes the variational formula for the KPZ fixed point in terms of the Airy sheet.
Open AccessOne-sided reflected Brownian motions and the KPZ fixed point
We consider the system of one-sided reflected Brownian motions which is in variational duality with Brownian last passage percolation. We show that it has integrable transition probabilities, expressed in terms of Hermite polynomials and hitting times of exponential random walks, and that it converges in the 1:2:3 scaling limit to the KPZ fixed point, the scaling invariant Markov process defined in [MQR17] and believed to govern the long time large scale fluctuations for all models in the KPZ universality class. Brownian last passage percolation was shown recently in [DOV18] to converge to the Airy sheet (or directed landscape), defined there as a strong limit of a functional of the Airy line ensemble. This establishes the variational formula for the KPZ fixed point in terms of the Airy sheet.