collaborators

6 papers

math.PR2026

Uniform-in-Time Smoluchowski-Kramers Approximation in Total Variation for Fractional SDEs

Qian Yu, Jiaxin Zha

Let be a one-dimensional fractional Brownian motion with Hurst index . We study the small-mass limit of the kinetic equation \[ dX_t^μ=Y_t^μ\,dt,\qquad μ\,dY_t^μ…

math.PR2026

Fractional derivatives of local times for some Gaussian processes

Minhao Hong, Qian Yu

In this article, we consider fractional derivatives of local time for dimensional centered Gaussian processes satisfying certain strong local nondeterminism property. We first…

math.PR2026

Strong solutions to SDEs with singular drifts driven by fractional Brownian motions

Jiazhen Gu, Qian Yu

In this paper, we establish the strong well-posedness of SDEs with merely integrable time-dependent drifts driven by fractional Brownian motions with Hurst parameter H<1/2. Our res…

math.PR2025

Asymptotic Properties of the Derivative of Self-Intersection Local Time of Multidimensional Fractional Brownian Motion

Jiazhen Gu, Jinchi Jiang, Qian Yu

Let \{B_t^H,t\geq0\} be a d-dimensional fractional Brownian motion. We prove that the approximation of the first-order derivative of self-intersection local time, defined as α_{\v…

math.PR2025

On the exponential integrability of the derivative of intersection and self-intersection local time for fractional Brownian motion and a limit theorem related to the self-intersection local time for fractional Brownian motion

Kaustav Das, Gregory Markowsky, Binghao Wu +1

We give the correct condition for existence of the -th derivative of the intersection local time for fractional Brownian motion, which was originally discussed in [Guo, J., Hu,…

math.PR2025

An estimation of Fisher information bound for distribution-dependent SDEs driven by fractional Brownian motion with small noise

Tongxuan Liu, Qian Yu

In this paper, we consider the distribution-dependent SDE driven by fractional Brownian motion with small noise and study the rate of Fisher information convergence in the central…