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20232025
most citedMultiplicative SHE limit of random walks in space-time random environments

3 citations · 5 across the 6 of their papers we have counts for

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math.PR2025

Fluctuation exponents of the open KPZ equation in the maximal current phase

Andres A. Contreras Hip, Sayan Das, Antonios Zitridis

We consider the open KPZ equation on the interval with Neumann boundary conditions depending on parameters (the so-called maximal current phase). For $L…

math.PR2025

The half-space KPZ line ensemble and its scaling limit

Sayan Das, Christian Serio

For each , we show that there exists a unique -indexed line ensemble of random continuous curves with the f…

math.PR2024

Lower tail large deviations of the stochastic six vertex model

Sayan Das, Yuchen Liao, Matteo Mucciconi

In this paper, we study lower tail probabilities of the height function of the stochastic six-vertex model. We introduce a novel combinatorial approach to demon…

math.PR2024★ 1 cited

Solving marginals of the LDP for the directed landscape

Sayan Das, Li-Cheng Tsai

We identify the explicit rate function for the upper-tail LDP of the parabolic Airy process and characterize the minimizing metrics, or equivalently the limit shape of the directed…

math.PR2024★ 1 cited

Upper tail large deviations of the directed landscape

Sayan Das, Duncan Dauvergne, Bálint Virág

Starting from one-point tail bounds, we establish an upper tail large deviation principle for the directed landscape at the metric level. Metrics of finite rate are in one-to-one c…

math.PR2024

Convergence to stationary measures for the half-space log-gamma polymer

Sayan Das, Christian Serio

We consider the point-to-point half-space log-gamma polymer model in the unbound phase. We prove that the free energy increment process on the anti-diagonal path converges to the t…

math.PR2023★ 3 cited

Multiplicative SHE limit of random walks in space-time random environments

Sayan Das, Hindy Drillick, Shalin Parekh

We show that under a certain moderate deviation scaling, the multiplicative-noise stochastic heat equation (SHE) arises as the fluctuations of the quenched density of a 1D random w…