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In [CSZ23], the authors proved the convergence of the finite dimensional time distribution of the rescaled random fields derived from the discrete stochastic heat equation of $2d$-directed polymers in random environment in the critical…

Probability · Mathematics 2025-03-27 Makoto Nakashima

This article extends the work on stochastic constrained heat equation in \cite{brzezniak2020global}. We will show the existence of Martingale solutions to the stochastic-constrained heat equations. The proof is based on compactness,…

Probability · Mathematics 2024-11-08 Javed Hussain , Abdul Fatah , Saeed Ahmed

We consider the solution to a stochastic heat equation. This solution is a random function of time and space. For a fixed point in space, the resulting random function of time, $F(t)$, has a nontrivial quartic variation. This process,…

Probability · Mathematics 2009-09-29 Jason Swanson

We study the stochastic heat equation in two spatial dimensions with a multiplicative white noise, as the limit of the equation driven by a noise that is mollified in space and white in time. As the mollification radius $ \varepsilon\to 0…

Probability · Mathematics 2021-03-17 Yu Gu , Jeremy Quastel , Li-Cheng Tsai

We define linear stochastic heat equations (SHE) on p.c.f.s.s. sets equipped with regular harmonic structures. We show that if the spectral dimension of the set is less than two, then function-valued "random-field" solutions to these SPDEs…

Probability · Mathematics 2018-02-28 Ben Hambly , Weiye Yang

We introduce a matrix version of the stochastic heat equation, the MSHE, and obtain its explicit invariant measure in spatial dimension $D=1$. We show that it is classically integrable in the weak-noise regime, in terms of the matrix…

Statistical Mechanics · Physics 2024-10-03 Alexandre Krajenbrink , Pierre Le Doussal

In this contribution, we provide convergence rates for a finite volume scheme of the stochastic heat equation with multiplicative Lipschitz noise and homogeneous Neumann boundary conditions (SHE). More precisely, we give an error estimate…

Numerical Analysis · Mathematics 2025-04-07 Niklas Sapountzoglou , Aleksandra Zimmermann

The problem of approximating the covariance operator of the mild solution to a linear stochastic partial differential equation is considered. An integral equation involving the semigroup of the mild solution is derived and a general error…

Numerical Analysis · Mathematics 2022-04-25 Mihály Kovács , Annika Lang , Andreas Petersson

The purpose of this short note is to prove a convenient version of It\^o's formula for the Rearranged Stochastic Heat Equation (RSHE) introduced by the two authors in a previous contribution. This equation is a penalised version of the…

Probability · Mathematics 2024-06-11 François Delarue , William R. P. Hammersley

We study the stochastic heat equation (SHE) $\partial_t u = \frac12 \Delta u + \beta u \xi$ driven by a multiplicative L\'evy noise $\xi$ with positive jumps and amplitude $\beta>0$, in arbitrary dimension $d\geq 1$. We prove the existence…

Probability · Mathematics 2023-07-12 Quentin Berger , Carsten Chong , Hubert Lacoin

The Stochastic Heat Flow (SHF) emerges as the scaling limit of directed polymers in random environments and the noise-mollified Stochastic Heat Equation (SHE), specifically at the critical dimension of two and near the critical temperature.…

Probability · Mathematics 2026-03-17 Li-Cheng Tsai

In the paper, we construct conservative Markov processes corresponding to the martingale solutions to the stochastic heat equation on $\mathbb{R}^+$ or $\mathbb{R}$ with values in a general Riemannian maifold, which is only assumed to be…

Probability · Mathematics 2019-06-14 Xin Chen , Bo Wu , Rongchan Zhu , Xiangchan Zhu

The convective Brinkman-Forchheimer equations (CBFEs) \[ \frac{\partial \boldsymbol{X}}{\partial t} - \mu \Delta\boldsymbol{X} + (\boldsymbol{X}\cdot\nabla)\boldsymbol{X} + \alpha\boldsymbol{X} + \beta|\boldsymbol{X}|^{r-1}\boldsymbol{X} +…

Probability · Mathematics 2025-12-09 Kush Kinra , Fernanda Cipriano , Manil T. Mohan

We consider the Stochastic Heat Equation (SHE) in $(1+1)$ dimensions with delta Dirac initial data and spacetime white noise. We prove exact large-time asymptotics for multi-point correlations of the SHE for strictly sublinear space…

Probability · Mathematics 2024-03-12 Pierre Yves Gaudreau Lamarre , Yier Lin

We consider the stochastic differential equation on $\mathbb{R}^d$ given by $$ \, \mathrm{d}X_t = b(t,X_t) \, \mathrm{d}t + \, \mathrm{d} B_t, $$ where $B$ is a Brownian motion and $b$ is considered to be a distribution of regularity $ >…

Probability · Mathematics 2026-05-14 Nicolas Perkowski , Willem van Zuijlen

In this paper, we study the stochastic heat equation (SHE) on $\mathbb{R}^d$ subject to a centered Gaussian noise that is white in time and colored in space. We establish the existence and uniqueness of the random field solution in the…

Probability · Mathematics 2022-08-09 Le Chen , Jingyu Huang

We study a class of stochastic differential equations driven by a possibly tempered L{\'e}vy process, under mild conditions on the coefficients. We prove the well-posedness of the associated martingale problem as well as the existence of…

Probability · Mathematics 2016-02-01 L Huang

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 walk whose transition probabilities are iid [0,1]-valued…

Probability · Mathematics 2024-12-24 Sayan Das , Hindy Drillick , Shalin Parekh

A new treatment of the critical point of the two-dimensional interacting Bose gas is presented. In the lowest order approximation we obtain the critical temperature T_c ~ 2 \pi n/[ m \log (2\pi/mg)], where n is the density, m the mass, and…

Mathematical Physics · Physics 2015-05-13 Pye-Ton How , Andre' LeClair

We study a change point model based on a stochastic partial differential equation (SPDE) corresponding to the heat equation governed by the weighted Laplacian $\Delta_\vartheta = \nabla\vartheta\nabla$, where $\vartheta=\vartheta(x)$ is a…

Statistics Theory · Mathematics 2026-03-06 Markus Reiß , Claudia Strauch , Lukas Trottner
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