Jie He

collaborators

2 papers

math.AP2023

Gradient estimates for $Δ_{p} u - ∣\nabla u ∣^{q} + b (x) ∣ u ∣^{r - 1} u = 0$ on a complete Riemannian manifold and Liouville type theorems

Dong Han, Jie He, Youde Wang

In this paper the Nash-Moser iteration method is used to study the gradient estimates of solutions to the quasilinear elliptic equation $Δ_{p} u - ∣\nabla u ∣^{q} + b (x) ∣ u ∣^{r - 1} u = 0$ define…

math.NA2021

The truncated $θ$ -Milstein method for nonautonomous and highly nonlinear stochastic differential delay equations

Shuaibin Gao, Junhao Hu, Jie He +1

This paper focuses on the strong convergence of the truncated $θ$ -Milstein method for a class of nonautonomous stochastic differential delay equations whose drift and diffusion coe…

Gradient estimates for Δp​u−∣∇u∣q+b(x)∣u∣r−1u=0 on a complete Riemannian manifold and Liouville type theorems

The truncated θ-Milstein method for nonautonomous and highly nonlinear stochastic differential delay equations

Gradient estimates for $Δ_{p} u - ∣\nabla u ∣^{q} + b (x) ∣ u ∣^{r - 1} u = 0$ on a complete Riemannian manifold and Liouville type theorems

The truncated $θ$ -Milstein method for nonautonomous and highly nonlinear stochastic differential delay equations