Heat Kernel Estimates for Non-symmetric Finite Range Jump Processes

• 作者: Jie Ming WANG
• 来源期刊: 数学学报（英文版）
• 年，卷（期）: 2021,（2）
• 页码范围: 229-248
• 页数: 20页
• 语种: 英文

摘要

In this paper, we first establish the sharp two-sided heat kernel estimates and the gradient estimate for the truncated fractional Laplacian under gradient perturbation Sb:=Δ-α/2+b·Δ,where Δ-α /2 is the truncated fractional Laplacian, α ∈ (1, 2) and b ∈ K(α?1)d. In the second part, for a more general finite range jump process, we present some sufficient conditions to allow that the two sided estimates of the heat kernel are comparable to the Poisson type function for large distance|x?y|in short time.