activity
20192021
most citedOne dimensional singular Cucker-Smale model: uniform-in-time mean-field limit and contractivity

2 citations · 2 across the 2 of their papers we have counts for

collaborators

6 papers

math.AP2021

Compressible Navier-Stokes equation with BV initial data: Part II. Global stability

Haitao Wang, Shih-Hsien Yu, Xiongtao Zhang

In previous work \cite{W-Y-Z-local}, we studied the local well-posedness of weak solution to the 1-D full compressible Navier-Stokes equation with initial data of small total varia…

math.DS2021

Emergence of synchronization in Kuramoto model with general digraph

Xiongtao Zhang, Tingting Zhu

In this paper, we study the complete synchronization of the Kuramoto model with general network containing a spanning tree, when the initial phases are distributed in an open half…

math.DS2020

On the Stochastic Singular Cucker--Smale Model: Well-Posedness, Collision-Avoidance and Flocking

Qiao Huang, Xiongtao Zhang

We study the Cucker--Smale (C-S) flocking systems involving both singularity and noise. We first show the local strong well-posedness for the stochastic singular C-S systems before…

math.AP2020★ 2 cited

One dimensional singular Cucker-Smale model: uniform-in-time mean-field limit and contractivity

Young-Pil Choi, Xiongtao Zhang

We analyze the one dimensional Cucker-Smale (in short CS) model with a weak singular communication weight with . We first establish a global-in-time e…

math.DS2019

Complete classification of the asymptotical behavior for singular C-S Model on the real line

Xiongtao Zhang, Tingting Zhu

In this paper, we study the singular Cucker-Smale (C-S) model on the real line. For long range case, i.e. , we prove the uniqueness of the solution in the sense of Definition…

math.DS2019

Emergent behaviors of the discrete-time Kuramoto model for generic initial configuration

Xiongtao Zhang, Tingting Zhu

In this paper, we will study the emergent dynamics of the discrete Kuramoto model for generic initial data. This is an extension of the previous work S.-Y. Ha et al. (2019), in whi…