English

Quantitative homogenization on time-dependent random conductance models with stable-like jumps

Probability 2025-12-01 v1

Abstract

We establish quantitative homogenization results for time-dependent random conductance models with stable-like long range jumps on Zd\Z^d, where the transition probability from xx to yy is given by wt,x,yxydαw_{t, x,y}|x-y|^{-d-\alpha} with α(0,2)\alpha\in (0,2). In particular, time-dependent random coefficients {wt,x,y:tR+,(x,y)E}\{w_{t,x,y}: t\in \R_+, (x,y)\in E\} are uniformly bounded from above (but may be degenerate), and satisfy the Kolmogorov continuous condition, where E={(x,y):xyZd}E=\{(x, y): x \not= y \in \Z^d\} is the set of all unordered pairs on Zd\Z^d. The proofs are based on L2L^2-estimates and energy estimates for solutions to regionalparabolic equations and multi-scale Poincar\'e inequalities associated with time-dependent symmetric stable-like random walks with random coefficients.

Keywords

Cite

@article{arxiv.2511.22792,
  title  = {Quantitative homogenization on time-dependent random conductance models with stable-like jumps},
  author = {Xin Chen and Zhen-Qing Chen and Takashi Kumagai and Jian Wang},
  journal= {arXiv preprint arXiv:2511.22792},
  year   = {2025}
}

Comments

35 pages

R2 v1 2026-07-01T07:58:38.125Z