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math.PR2024

Regularisation by Gaussian rough path lifts of fractional Brownian motions

Konstantinos Dareiotis, Máté Gerencsér, Khoa Lê +1

The aim of the paper is to show the probabilistically strong well-posedness of rough differential equations with distributional drifts driven by the Gaussian rough path lift of fra…

math.PR2024

Analytically weak and mild solutions to stochastic heat equation with irregular drift

Siva Athreya, Oleg Butkovsky, Khoa Lê +1

Consider the stochastic heat equation \begin{equation*} \partial_t u_t(x)=\frac12 \partial^2_{xx}u_t(x) +b(u_t(x))+\dot{W}_{t}(x),\quad t\in(0,T],\, x\in D, \end{equation*} where $…

math.PR2024

Regularisation by multiplicative noise for reaction-diffusion equations

Konstantinos Dareiotis, Teodor Holland, Khoa Lê

We consider the stochastic reaction-diffusion equation in dimensions driven by multiplicative space-time white noise, with a distributional drift belonging to a Besov-Hölder…

math.PR2024

Quantitative approximation of stochastic kinetic equations: from discrete to continuum

Zimo Hao, Khoa Lê, Chengcheng Ling

We study the convergence of a generic tamed Euler-Maruyama (EM) scheme for the kinetic type stochastic differential equations (SDEs) (also known as second order SDEs) with singular…

math.PR2024

Quantitative Propagation of Chaos for Singular Interacting Particle Systems Driven by Fractional Brownian Motion

Lucio Galeati, Khoa Lê, Avi Mayorcas

We consider interacting systems particle driven by i.i.d. fractional Brownian motions, subject to irregular, possibly distributional, pairwise interactions. We show propagation of…